setdb1 Search Results


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Cell Applications Inc setdb1
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Novus Biologicals gpx4 for ip
a Ontologies (GREAT analysis) derived from ZNF354A ChIP-seq peaks in HEK293T cells. Histogram displays enriched annotation terms ranked by binomial p value, indicating functional categories significantly associated with ZNF354A-bound genomic regions . b Volcano plot of RNA-seq analysis from U2OS cells (siControl-Ctrl vs. siZNF354A, 72 h), displaying expression changes of 22586 transcripts. Log2 fold change (FC) vs. −log10 P value plotted. Highlighted genes involved in GSH synthesis (MAT1A, SLC7A11, GSTO2, MGST, CTH), iron metabolism (HMOX1, FTH), and mevalonate pathway (HMGCR). Black dots: significantly upregulated genes (FC > 2, P < 0.05). P values were corrected for multiple testing using the Benjamini-Hochberg’s method c Gene Set Enrichment Analysis (GSEA) dot plot highlighting significantly enriched GO-terms in siZNF354A cells. Gene count, gene ratio, and specific p-values indicated. Enrichment scores and p values were computed by permutation testing (10,000 permutations) using ranked gene lists. d GSEA plots for Biological Process BP and Cellular Component CC GO categories. e Model overview of ZNF354A-regulated selenium-/thiol-dependent and independent pathways in phospholipid peroxide detoxification. ZNF354A targets highlighted in green. Main proteins/pathways upregulated by ZNF354A depletion are indicated (see Supplementary Table ). In thiol-dependent pathways <t>GPX4</t> converts phospholipid hydroperoxides (PL-OOH) to alcohols (PL-OH), dependent on glutathione (GSH) synthesis via cystine uptake and reduction. The methionine cycle contributes with precursors. In parallel the NAD(P)H/FSP1/ubiquinone system reduces peroxyl radicals in phospholipids (PLOO•). SLC7A11 (xCT) cystine/glutamate antiporter; TXNRD1 thioredoxin reductase-1; CTH γ-cystathionase; MAT1A methionine adenosyltransferase; GSTs GSH-S-transferases; GSR GSH-disulfide reductase; GPX4 glutathione peroxidase-4; GSSG oxidized glutathione; FSP1 ferroptosis suppressor protein; CoQ10H2 ubiquinol; CoQ10(H), ubiquinone; SEPHS2 selenophosphate synthetase-2; FTH ferritin heavy chain-1; HMGC , 3-hydroxy-3-methylglutaryl-CoA reductase. Created in BioRender. Abrami, L. ( https://BioRender.com/mmywn2r ). Source data provided as a Source Data file. See Data Availability or ( https://tronoapps.epfl.ch/web/krabopedia/ ) for full datasets.
Gpx4 For Ip, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Proteintech setdb1 rabbit proteintech
a Ontologies (GREAT analysis) derived from ZNF354A ChIP-seq peaks in HEK293T cells. Histogram displays enriched annotation terms ranked by binomial p value, indicating functional categories significantly associated with ZNF354A-bound genomic regions . b Volcano plot of RNA-seq analysis from U2OS cells (siControl-Ctrl vs. siZNF354A, 72 h), displaying expression changes of 22586 transcripts. Log2 fold change (FC) vs. −log10 P value plotted. Highlighted genes involved in GSH synthesis (MAT1A, SLC7A11, GSTO2, MGST, CTH), iron metabolism (HMOX1, FTH), and mevalonate pathway (HMGCR). Black dots: significantly upregulated genes (FC > 2, P < 0.05). P values were corrected for multiple testing using the Benjamini-Hochberg’s method c Gene Set Enrichment Analysis (GSEA) dot plot highlighting significantly enriched GO-terms in siZNF354A cells. Gene count, gene ratio, and specific p-values indicated. Enrichment scores and p values were computed by permutation testing (10,000 permutations) using ranked gene lists. d GSEA plots for Biological Process BP and Cellular Component CC GO categories. e Model overview of ZNF354A-regulated selenium-/thiol-dependent and independent pathways in phospholipid peroxide detoxification. ZNF354A targets highlighted in green. Main proteins/pathways upregulated by ZNF354A depletion are indicated (see Supplementary Table ). In thiol-dependent pathways <t>GPX4</t> converts phospholipid hydroperoxides (PL-OOH) to alcohols (PL-OH), dependent on glutathione (GSH) synthesis via cystine uptake and reduction. The methionine cycle contributes with precursors. In parallel the NAD(P)H/FSP1/ubiquinone system reduces peroxyl radicals in phospholipids (PLOO•). SLC7A11 (xCT) cystine/glutamate antiporter; TXNRD1 thioredoxin reductase-1; CTH γ-cystathionase; MAT1A methionine adenosyltransferase; GSTs GSH-S-transferases; GSR GSH-disulfide reductase; GPX4 glutathione peroxidase-4; GSSG oxidized glutathione; FSP1 ferroptosis suppressor protein; CoQ10H2 ubiquinol; CoQ10(H), ubiquinone; SEPHS2 selenophosphate synthetase-2; FTH ferritin heavy chain-1; HMGC , 3-hydroxy-3-methylglutaryl-CoA reductase. Created in BioRender. Abrami, L. ( https://BioRender.com/mmywn2r ). Source data provided as a Source Data file. See Data Availability or ( https://tronoapps.epfl.ch/web/krabopedia/ ) for full datasets.
Setdb1 Rabbit Proteintech, supplied by Proteintech, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc shrna sequences targeting setdb1
A. Schematic representation of the cell lines exhibiting different <t>SETDB1</t> expression levels. A549 Ctrl cells exhibit endogenous overexpression of SETDB1. SETDB1 KO cells show complete loss of SETDB1. In the inducible shRNA-mediated knockdown model (SETDB1 KD), cells are either untreated (0) or treated with doxycycline for 3 or 7 days (3d, 7d), resulting in a progressive reduction of SETDB1 levels. B. SETDB1 mRNA levels measured by RT-qPCR and normalized to PPIA . Values are shown relative to A549 cells (Ctrl). Bars represent the mean of N=3 biological replicates +/− SD error bars., with individual data points indicated. Statistical significance was assessed using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. C. Principal Component Analysis (PCA) based on gene expression profiles for A549 cells (Ctrl), SETDB1 KO, SETDB1 KD 0 (no doxycycline), and SETDB1 KD 7d-dox. D. Venn diagram of differentially expressed genes (DEGs). Comparison of Control vs SETDB1 KO (light grey) and SETDB1 KD 0 vs 7d-dox (dark grey). DEGs were selected based on a specified log2 fold change (log2FC) threshold: log2FC > +1 or <-1. E. Volcano plots showing -log10(p-value) (-Log10 P) versus log2 fold change for gene expression comparisons: Control vs SETDB1 KO and SETDB1 KD 0 vs 7d-dox. F. Heatmap of log2 fold changes for genes associated with cell migration, comparing Ctrl vs SETDB1 KO and SETDB1 KD 0 vs 7d-dox. Migration-related genes were selected from Gene Ontology database ( GO:0016477 ). G. Representative immunofluorescence images of Ctrl, SETDB1 KO, SETDB1 KD 7 days-dox cells stained with anti-CDH1 (E-cadherin, green). Nuclei are counterstained with DAPI (blue). Merged images show overlay of CDH1 and DAPI signals. Scale bar: 50 µm. H. Left: Representative images from Transwell migration assays for Control, SETDB1 KO, and SETDB1 KD (0, 3, 7 days-dox). Migrated cells are stained in violet; images acquired at 40× magnification. Scale bar: 500 µm. Right: Quantification of migrated cells by absorbance measurement at 590 nm. Data represents N=4 replicates; red lines indicate the sample mean +/−SD error bars. Statistical analysis performed via unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001.
Shrna Sequences Targeting Setdb1, supplied by Addgene inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Novus Biologicals setdb1
Figure 2. Identification of a ZNF304-corepressor complex required for transcriptional silencing of INK4-ARF in CRCs. (A) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a non-silencing (NS) or ZNF304 shRNA. The results were normalized to that obtained with the NS control, which was set to 1. (B) Immunoblot analysis monitoring INK4-ARF levels in DLD-1 cells expressing a NS or ZNF304 shRNA. α-tubulin (TUBA) was monitored as a loading control. (C) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a NS, KAP1, <t>SETDB1,</t> DNMT1, DNMT3A, or DNMT3B shRNA. (D) ChIP assay monitoring binding of ZNF304, KAP1, SETDB1 and DNMT1 to INK4-ARF promoters in DLD-1 cells expressing a NS or ZNF304 shRNA. The results were normalized to that obtained with IgG, which was set to 1. (E) Bisulfite sequencing analysis of the p14ARF promoter in DLD-1 cells expressing a NS, KAP1, SETDB1, or DNMT1 shRNA. (F) Tumor formation assay. DLD-1 cells expressing a NS and ZNF304 (left) or DNMT1 (right) shRNA were subcutaneously injected into the flanks of nude mice (n = 3), and tumor formation was measured. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Results from experiments showing validation of candidates from the RNAi screen, and ZNF304 corepressors, for a role in INK4-ARF transcriptional silencing in DLD-1 cells are presented in Figure 2—figure supplements 1 and 2. DOI: 10.7554/eLife.02313.004 The following figure supplements are available for figure 2:
Setdb1, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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OriGene origene shrna clonestl309514aandtl309514abwereused
Figure 2. Identification of a ZNF304-corepressor complex required for transcriptional silencing of INK4-ARF in CRCs. (A) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a non-silencing (NS) or ZNF304 shRNA. The results were normalized to that obtained with the NS control, which was set to 1. (B) Immunoblot analysis monitoring INK4-ARF levels in DLD-1 cells expressing a NS or ZNF304 shRNA. α-tubulin (TUBA) was monitored as a loading control. (C) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a NS, KAP1, <t>SETDB1,</t> DNMT1, DNMT3A, or DNMT3B shRNA. (D) ChIP assay monitoring binding of ZNF304, KAP1, SETDB1 and DNMT1 to INK4-ARF promoters in DLD-1 cells expressing a NS or ZNF304 shRNA. The results were normalized to that obtained with IgG, which was set to 1. (E) Bisulfite sequencing analysis of the p14ARF promoter in DLD-1 cells expressing a NS, KAP1, SETDB1, or DNMT1 shRNA. (F) Tumor formation assay. DLD-1 cells expressing a NS and ZNF304 (left) or DNMT1 (right) shRNA were subcutaneously injected into the flanks of nude mice (n = 3), and tumor formation was measured. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Results from experiments showing validation of candidates from the RNAi screen, and ZNF304 corepressors, for a role in INK4-ARF transcriptional silencing in DLD-1 cells are presented in Figure 2—figure supplements 1 and 2. DOI: 10.7554/eLife.02313.004 The following figure supplements are available for figure 2:
Origene Shrna Clonestl309514aandtl309514abwereused, supplied by OriGene, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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OriGene myc setdb1
Figure 2. Identification of a ZNF304-corepressor complex required for transcriptional silencing of INK4-ARF in CRCs. (A) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a non-silencing (NS) or ZNF304 shRNA. The results were normalized to that obtained with the NS control, which was set to 1. (B) Immunoblot analysis monitoring INK4-ARF levels in DLD-1 cells expressing a NS or ZNF304 shRNA. α-tubulin (TUBA) was monitored as a loading control. (C) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a NS, KAP1, <t>SETDB1,</t> DNMT1, DNMT3A, or DNMT3B shRNA. (D) ChIP assay monitoring binding of ZNF304, KAP1, SETDB1 and DNMT1 to INK4-ARF promoters in DLD-1 cells expressing a NS or ZNF304 shRNA. The results were normalized to that obtained with IgG, which was set to 1. (E) Bisulfite sequencing analysis of the p14ARF promoter in DLD-1 cells expressing a NS, KAP1, SETDB1, or DNMT1 shRNA. (F) Tumor formation assay. DLD-1 cells expressing a NS and ZNF304 (left) or DNMT1 (right) shRNA were subcutaneously injected into the flanks of nude mice (n = 3), and tumor formation was measured. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Results from experiments showing validation of candidates from the RNAi screen, and ZNF304 corepressors, for a role in INK4-ARF transcriptional silencing in DLD-1 cells are presented in Figure 2—figure supplements 1 and 2. DOI: 10.7554/eLife.02313.004 The following figure supplements are available for figure 2:
Myc Setdb1, supplied by OriGene, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Figure 2. Identification of a ZNF304-corepressor complex required for transcriptional silencing of INK4-ARF in CRCs. (A) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a non-silencing (NS) or ZNF304 shRNA. The results were normalized to that obtained with the NS control, which was set to 1. (B) Immunoblot analysis monitoring INK4-ARF levels in DLD-1 cells expressing a NS or ZNF304 shRNA. α-tubulin (TUBA) was monitored as a loading control. (C) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a NS, KAP1, <t>SETDB1,</t> DNMT1, DNMT3A, or DNMT3B shRNA. (D) ChIP assay monitoring binding of ZNF304, KAP1, SETDB1 and DNMT1 to INK4-ARF promoters in DLD-1 cells expressing a NS or ZNF304 shRNA. The results were normalized to that obtained with IgG, which was set to 1. (E) Bisulfite sequencing analysis of the p14ARF promoter in DLD-1 cells expressing a NS, KAP1, SETDB1, or DNMT1 shRNA. (F) Tumor formation assay. DLD-1 cells expressing a NS and ZNF304 (left) or DNMT1 (right) shRNA were subcutaneously injected into the flanks of nude mice (n = 3), and tumor formation was measured. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Results from experiments showing validation of candidates from the RNAi screen, and ZNF304 corepressors, for a role in INK4-ARF transcriptional silencing in DLD-1 cells are presented in Figure 2—figure supplements 1 and 2. DOI: 10.7554/eLife.02313.004 The following figure supplements are available for figure 2:
Anti Setdb1, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Figure 2. Identification of a ZNF304-corepressor complex required for transcriptional silencing of INK4-ARF in CRCs. (A) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a non-silencing (NS) or ZNF304 shRNA. The results were normalized to that obtained with the NS control, which was set to 1. (B) Immunoblot analysis monitoring INK4-ARF levels in DLD-1 cells expressing a NS or ZNF304 shRNA. α-tubulin (TUBA) was monitored as a loading control. (C) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a NS, KAP1, <t>SETDB1,</t> DNMT1, DNMT3A, or DNMT3B shRNA. (D) ChIP assay monitoring binding of ZNF304, KAP1, SETDB1 and DNMT1 to INK4-ARF promoters in DLD-1 cells expressing a NS or ZNF304 shRNA. The results were normalized to that obtained with IgG, which was set to 1. (E) Bisulfite sequencing analysis of the p14ARF promoter in DLD-1 cells expressing a NS, KAP1, SETDB1, or DNMT1 shRNA. (F) Tumor formation assay. DLD-1 cells expressing a NS and ZNF304 (left) or DNMT1 (right) shRNA were subcutaneously injected into the flanks of nude mice (n = 3), and tumor formation was measured. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Results from experiments showing validation of candidates from the RNAi screen, and ZNF304 corepressors, for a role in INK4-ARF transcriptional silencing in DLD-1 cells are presented in Figure 2—figure supplements 1 and 2. DOI: 10.7554/eLife.02313.004 The following figure supplements are available for figure 2:
Human Setdb1, supplied by OriGene, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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List of antibodies used and their dilutions for different applications.
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Image Search Results


a Ontologies (GREAT analysis) derived from ZNF354A ChIP-seq peaks in HEK293T cells. Histogram displays enriched annotation terms ranked by binomial p value, indicating functional categories significantly associated with ZNF354A-bound genomic regions . b Volcano plot of RNA-seq analysis from U2OS cells (siControl-Ctrl vs. siZNF354A, 72 h), displaying expression changes of 22586 transcripts. Log2 fold change (FC) vs. −log10 P value plotted. Highlighted genes involved in GSH synthesis (MAT1A, SLC7A11, GSTO2, MGST, CTH), iron metabolism (HMOX1, FTH), and mevalonate pathway (HMGCR). Black dots: significantly upregulated genes (FC > 2, P < 0.05). P values were corrected for multiple testing using the Benjamini-Hochberg’s method c Gene Set Enrichment Analysis (GSEA) dot plot highlighting significantly enriched GO-terms in siZNF354A cells. Gene count, gene ratio, and specific p-values indicated. Enrichment scores and p values were computed by permutation testing (10,000 permutations) using ranked gene lists. d GSEA plots for Biological Process BP and Cellular Component CC GO categories. e Model overview of ZNF354A-regulated selenium-/thiol-dependent and independent pathways in phospholipid peroxide detoxification. ZNF354A targets highlighted in green. Main proteins/pathways upregulated by ZNF354A depletion are indicated (see Supplementary Table ). In thiol-dependent pathways GPX4 converts phospholipid hydroperoxides (PL-OOH) to alcohols (PL-OH), dependent on glutathione (GSH) synthesis via cystine uptake and reduction. The methionine cycle contributes with precursors. In parallel the NAD(P)H/FSP1/ubiquinone system reduces peroxyl radicals in phospholipids (PLOO•). SLC7A11 (xCT) cystine/glutamate antiporter; TXNRD1 thioredoxin reductase-1; CTH γ-cystathionase; MAT1A methionine adenosyltransferase; GSTs GSH-S-transferases; GSR GSH-disulfide reductase; GPX4 glutathione peroxidase-4; GSSG oxidized glutathione; FSP1 ferroptosis suppressor protein; CoQ10H2 ubiquinol; CoQ10(H), ubiquinone; SEPHS2 selenophosphate synthetase-2; FTH ferritin heavy chain-1; HMGC , 3-hydroxy-3-methylglutaryl-CoA reductase. Created in BioRender. Abrami, L. ( https://BioRender.com/mmywn2r ). Source data provided as a Source Data file. See Data Availability or ( https://tronoapps.epfl.ch/web/krabopedia/ ) for full datasets.

Journal: Nature Communications

Article Title: Identification of a lipid oxygen radical defense pathway and its epigenetic control

doi: 10.1038/s41467-025-67304-4

Figure Lengend Snippet: a Ontologies (GREAT analysis) derived from ZNF354A ChIP-seq peaks in HEK293T cells. Histogram displays enriched annotation terms ranked by binomial p value, indicating functional categories significantly associated with ZNF354A-bound genomic regions . b Volcano plot of RNA-seq analysis from U2OS cells (siControl-Ctrl vs. siZNF354A, 72 h), displaying expression changes of 22586 transcripts. Log2 fold change (FC) vs. −log10 P value plotted. Highlighted genes involved in GSH synthesis (MAT1A, SLC7A11, GSTO2, MGST, CTH), iron metabolism (HMOX1, FTH), and mevalonate pathway (HMGCR). Black dots: significantly upregulated genes (FC > 2, P < 0.05). P values were corrected for multiple testing using the Benjamini-Hochberg’s method c Gene Set Enrichment Analysis (GSEA) dot plot highlighting significantly enriched GO-terms in siZNF354A cells. Gene count, gene ratio, and specific p-values indicated. Enrichment scores and p values were computed by permutation testing (10,000 permutations) using ranked gene lists. d GSEA plots for Biological Process BP and Cellular Component CC GO categories. e Model overview of ZNF354A-regulated selenium-/thiol-dependent and independent pathways in phospholipid peroxide detoxification. ZNF354A targets highlighted in green. Main proteins/pathways upregulated by ZNF354A depletion are indicated (see Supplementary Table ). In thiol-dependent pathways GPX4 converts phospholipid hydroperoxides (PL-OOH) to alcohols (PL-OH), dependent on glutathione (GSH) synthesis via cystine uptake and reduction. The methionine cycle contributes with precursors. In parallel the NAD(P)H/FSP1/ubiquinone system reduces peroxyl radicals in phospholipids (PLOO•). SLC7A11 (xCT) cystine/glutamate antiporter; TXNRD1 thioredoxin reductase-1; CTH γ-cystathionase; MAT1A methionine adenosyltransferase; GSTs GSH-S-transferases; GSR GSH-disulfide reductase; GPX4 glutathione peroxidase-4; GSSG oxidized glutathione; FSP1 ferroptosis suppressor protein; CoQ10H2 ubiquinol; CoQ10(H), ubiquinone; SEPHS2 selenophosphate synthetase-2; FTH ferritin heavy chain-1; HMGC , 3-hydroxy-3-methylglutaryl-CoA reductase. Created in BioRender. Abrami, L. ( https://BioRender.com/mmywn2r ). Source data provided as a Source Data file. See Data Availability or ( https://tronoapps.epfl.ch/web/krabopedia/ ) for full datasets.

Article Snippet: The antibodies and reagents were acquired from: ATF2 (Abcam: ab_131484; RRID: AB_11156678, rabbit: 1:2000x), ATF2 (Abcam: E243 ab32160, RRID: AB_2243137, rabbit: 1:2000x), phosphor-ATF2 (T69) (Abcam: 131106; RRID: AB_11157608;rabbit:1:1000x), GAPDH (Thermofisher: 398600; RRID: AB_2533438; mouse: 1:4000x), ZDHHC20 (Sigma: SAB4501054; RRID: AB_10744838; rabbit: 1:2000x), HA-HRP (Roche: 112013819001; RRID: AB_390917; rat: 1:5000x), KAP1 (Abcam: ab_109289; RRID: AB_10863057, rabbit: 1:1000x), phosphor-KAP1 S473 was generated in D. TRONO laboratory using the following peptide krsrSgegevsgl (rabbit: 1:500x), Nucleocapside N SARS-CoV-2 (Genetex: GTX135357; RRID: AB_2868464; rabbit 1:4000x), FLAG (Sigma: F3165; RRID: AB_259529; mouse: 1:2000x), phosphor-Threonine-Serine (BD: 612548; RRID: AB_399843; rabbit: 1:1000x), GPX4 for WB (Cell Signalling: 52455; RRID: AB_2924984, rabbit: 1:1000x), GPX4 for IP (MA5-49216, RRID: AB_3074874, mouse 1:2000x), SETDB1 (Novus Biologicals: NBP1_51677; RRID: AB_11002952, mouse: 1:2000x), NRF2 (Abnova: H00004780; RRID:566020, mouse: 1:2000x), V5-HRP (Sigma: V2260; RRID: AB_261857, mouse: 1:2000x), Actin (Millipore: MAB1501; RRID: AB_2223041, mouse: 1:4000x), MAT1A (Abcam: 129176; RRID: AB_11145300, rabbit: 1:2000x), ZNF354A (Santa Cruz: 81140; RRID: AB_1131557, mouse: 1:1000x), MAT1A (Abcam: ab1129176, RRID: AB_11145300, rabbit: 1:1000x), Myc (Millipore: 9E10, 05-419, RRID: AB_309725, mouse: 1:3000x), and HRP-conjugated secondary antibodies (GE-Healthcare).

Techniques: Derivative Assay, ChIP-sequencing, Functional Assay, RNA Sequencing, Expressing

a–c Lipid peroxides measured by flow cytometry (Bodipy-C11, Liperfluo) and membrane permeability (propidium iodide) in U2OS cells transfected with siControl or siZNF354A (72 h) ± RSL3 (3 μM, 24 h). Mean ± SEM; dots indicate biologically independent experiments.; p values compare to siControl, by two-way ANOVA, Tukey’s test. d Viability (ATP detection) of U2OS cells (siControl or siZNF354A, 72 h) ± RSL3 (3 μM) or H₂O₂ (50 µM, 16 h). Mean ± SD; representative assay (of three), n = 36.; p values compare to siControl, by two-way ANOVA, Sidak’s test. e , f Lipid peroxidation ( e ) and viability ( f ) of U2OS cells expressing wild-type (WT) or KRAB-binding mutant ZNF354A ± ferrostatin-1 (Fer-1, 15 µM, added at 0 and 48 h post-transfection). Mean ± SEM and dots represent biologically independent experiments ( e ). Mean ± SD normalized to untreated controls (empty plasmid) of representative assay (of three) n = 33 ( f ). p values compare untreated controls vs Fer-1, by two-way ANOVA, Holm-Sidak’s test. g Viability (as in f) of HeLa cells expressing ZNF354A, supplemented with FSP1, GPX4, GPX4 + N-Acetyl-Cysteine (NAC, 1 mM), or NAC alone. Mean ± SD; representative assay (of three), n = 33.; p values compare untreated controls at each time point, by two-way ANOVA, Sidak’s test. h Cellular level of GSH was measured in control cells and upon silencing of ZNF354A or GPX4 and upon over expression of ZNF354A. Mean ± SEM. and dots represent biologically independent experiments, p values obtained, by two-way ANOVA, Tukey’s test. i , Western blot of total cell extracts (TCE) and ZNF354A immunoprecipitates (IP) from indicated cancer cells, showing Short-S (42 kDa), 20 L isoforms ( ~ 49, 62, 69 kDa), GAPDH (loading control), total ZNF354A, and phospho-Ser/Thr proteins. j Viability (as in d) of cancer cells (from h) ± RSL3 (3 μM) or H₂O₂ (50 µM, 16 h). Viability normalized to untreated controls (100%). Mean ± SD; representative assay ( n = 35). p values compare each condition to HepG2 reference, by two-way ANOVA, Dunnett’s test.

Journal: Nature Communications

Article Title: Identification of a lipid oxygen radical defense pathway and its epigenetic control

doi: 10.1038/s41467-025-67304-4

Figure Lengend Snippet: a–c Lipid peroxides measured by flow cytometry (Bodipy-C11, Liperfluo) and membrane permeability (propidium iodide) in U2OS cells transfected with siControl or siZNF354A (72 h) ± RSL3 (3 μM, 24 h). Mean ± SEM; dots indicate biologically independent experiments.; p values compare to siControl, by two-way ANOVA, Tukey’s test. d Viability (ATP detection) of U2OS cells (siControl or siZNF354A, 72 h) ± RSL3 (3 μM) or H₂O₂ (50 µM, 16 h). Mean ± SD; representative assay (of three), n = 36.; p values compare to siControl, by two-way ANOVA, Sidak’s test. e , f Lipid peroxidation ( e ) and viability ( f ) of U2OS cells expressing wild-type (WT) or KRAB-binding mutant ZNF354A ± ferrostatin-1 (Fer-1, 15 µM, added at 0 and 48 h post-transfection). Mean ± SEM and dots represent biologically independent experiments ( e ). Mean ± SD normalized to untreated controls (empty plasmid) of representative assay (of three) n = 33 ( f ). p values compare untreated controls vs Fer-1, by two-way ANOVA, Holm-Sidak’s test. g Viability (as in f) of HeLa cells expressing ZNF354A, supplemented with FSP1, GPX4, GPX4 + N-Acetyl-Cysteine (NAC, 1 mM), or NAC alone. Mean ± SD; representative assay (of three), n = 33.; p values compare untreated controls at each time point, by two-way ANOVA, Sidak’s test. h Cellular level of GSH was measured in control cells and upon silencing of ZNF354A or GPX4 and upon over expression of ZNF354A. Mean ± SEM. and dots represent biologically independent experiments, p values obtained, by two-way ANOVA, Tukey’s test. i , Western blot of total cell extracts (TCE) and ZNF354A immunoprecipitates (IP) from indicated cancer cells, showing Short-S (42 kDa), 20 L isoforms ( ~ 49, 62, 69 kDa), GAPDH (loading control), total ZNF354A, and phospho-Ser/Thr proteins. j Viability (as in d) of cancer cells (from h) ± RSL3 (3 μM) or H₂O₂ (50 µM, 16 h). Viability normalized to untreated controls (100%). Mean ± SD; representative assay ( n = 35). p values compare each condition to HepG2 reference, by two-way ANOVA, Dunnett’s test.

Article Snippet: The antibodies and reagents were acquired from: ATF2 (Abcam: ab_131484; RRID: AB_11156678, rabbit: 1:2000x), ATF2 (Abcam: E243 ab32160, RRID: AB_2243137, rabbit: 1:2000x), phosphor-ATF2 (T69) (Abcam: 131106; RRID: AB_11157608;rabbit:1:1000x), GAPDH (Thermofisher: 398600; RRID: AB_2533438; mouse: 1:4000x), ZDHHC20 (Sigma: SAB4501054; RRID: AB_10744838; rabbit: 1:2000x), HA-HRP (Roche: 112013819001; RRID: AB_390917; rat: 1:5000x), KAP1 (Abcam: ab_109289; RRID: AB_10863057, rabbit: 1:1000x), phosphor-KAP1 S473 was generated in D. TRONO laboratory using the following peptide krsrSgegevsgl (rabbit: 1:500x), Nucleocapside N SARS-CoV-2 (Genetex: GTX135357; RRID: AB_2868464; rabbit 1:4000x), FLAG (Sigma: F3165; RRID: AB_259529; mouse: 1:2000x), phosphor-Threonine-Serine (BD: 612548; RRID: AB_399843; rabbit: 1:1000x), GPX4 for WB (Cell Signalling: 52455; RRID: AB_2924984, rabbit: 1:1000x), GPX4 for IP (MA5-49216, RRID: AB_3074874, mouse 1:2000x), SETDB1 (Novus Biologicals: NBP1_51677; RRID: AB_11002952, mouse: 1:2000x), NRF2 (Abnova: H00004780; RRID:566020, mouse: 1:2000x), V5-HRP (Sigma: V2260; RRID: AB_261857, mouse: 1:2000x), Actin (Millipore: MAB1501; RRID: AB_2223041, mouse: 1:4000x), MAT1A (Abcam: 129176; RRID: AB_11145300, rabbit: 1:2000x), ZNF354A (Santa Cruz: 81140; RRID: AB_1131557, mouse: 1:1000x), MAT1A (Abcam: ab1129176, RRID: AB_11145300, rabbit: 1:1000x), Myc (Millipore: 9E10, 05-419, RRID: AB_309725, mouse: 1:3000x), and HRP-conjugated secondary antibodies (GE-Healthcare).

Techniques: Flow Cytometry, Membrane, Permeability, Transfection, Expressing, Binding Assay, Mutagenesis, Plasmid Preparation, Control, Over Expression, Western Blot

a–d Incorporation of 3 H-palmitic acid ( 3 H-palm) in GPX4 from U2OS cells silenced for 72 h with pooled ( a ) or individual ( c ) ZDHHC siRNAs. Cells were metabolically labeled for 3 h at 37 °C with 3 H-palm; GPX4 was immunoprecipitated (IP-GPX4), resolved by SDS–PAGE, and analyzed by Western blot (WB) and autoradiography ( 3 H-palm). The levels of 3 H-palm incorporation in siControl (Ctrl) were set to 100% and results are mean ± SEM, and each dot represents an independent experiment ( n = 3). p values compare siCtrl, two-way ANOVA, Dunnett’s test. e HEK WT or ZDHHC20-KO cells were incubated with 100 μM C16:0-azide for the indicated times or with palmitic acid for 8 h. Incorporated C16:0-azide was detected by click chemistry with alkyne-mPEG 5 K (200 μM), followed by SDS–PAGE and WB for GPX4. Results are representative of three independent experiments. f–h same as in ( a ), for ( f ), HEK WT (Ctrl) or ZDHHC20-KO cells, recomplemented with empty vector or short/long ZDHHC20 or ( h ) U2OS cells left untreated or treated for 4 h with 50 μM H₂O₂. For f Myc-ZDHHC20 expression was confirmed by WB. The levels of 3 H-palm incorporation were set to 100% in Control-WT cells for g, or untreated control cells, in ( h ). Results are mean ± SEM, and each dot represents an independent experiment ( g ) n = 4 and h n = 6). p values comparing to Ctrl or as indicated by, ( g ) two-way ANOVA, Tukey’s test, and ( h ) Two-tailed Student’s t-test. i Cellular glutathione measured in U2OS cells, siCtrl or siZDHHC20 (72 h) alone or recomplemented with short/long ZDHHC20 (24 h). Data are mean ± SEM from one of three independent experiments ( n = 6). p values by, two-way ANOVA, Tukey’s test j Viability assessed using Promega Glo ATB detection in U2OS cells as in i, treated as in ( h ). Data are mean ± SEM from one of three independent experiments ( n = 36 replicates). p values by, two-way ANOVA, Tukey’s test k Proposed Model: Under homeostasis, ATF2–SETDB1–KAP1–ZNF354A repress antioxidant genes. Lipid peroxide accumulation activates p38/JNK signaling, leading to ZNF354A dissociation and induction of antioxidant responses. Created in BioRender. abrami, I ( https://BioRender.com/gvmrwgl ).

Journal: Nature Communications

Article Title: Identification of a lipid oxygen radical defense pathway and its epigenetic control

doi: 10.1038/s41467-025-67304-4

Figure Lengend Snippet: a–d Incorporation of 3 H-palmitic acid ( 3 H-palm) in GPX4 from U2OS cells silenced for 72 h with pooled ( a ) or individual ( c ) ZDHHC siRNAs. Cells were metabolically labeled for 3 h at 37 °C with 3 H-palm; GPX4 was immunoprecipitated (IP-GPX4), resolved by SDS–PAGE, and analyzed by Western blot (WB) and autoradiography ( 3 H-palm). The levels of 3 H-palm incorporation in siControl (Ctrl) were set to 100% and results are mean ± SEM, and each dot represents an independent experiment ( n = 3). p values compare siCtrl, two-way ANOVA, Dunnett’s test. e HEK WT or ZDHHC20-KO cells were incubated with 100 μM C16:0-azide for the indicated times or with palmitic acid for 8 h. Incorporated C16:0-azide was detected by click chemistry with alkyne-mPEG 5 K (200 μM), followed by SDS–PAGE and WB for GPX4. Results are representative of three independent experiments. f–h same as in ( a ), for ( f ), HEK WT (Ctrl) or ZDHHC20-KO cells, recomplemented with empty vector or short/long ZDHHC20 or ( h ) U2OS cells left untreated or treated for 4 h with 50 μM H₂O₂. For f Myc-ZDHHC20 expression was confirmed by WB. The levels of 3 H-palm incorporation were set to 100% in Control-WT cells for g, or untreated control cells, in ( h ). Results are mean ± SEM, and each dot represents an independent experiment ( g ) n = 4 and h n = 6). p values comparing to Ctrl or as indicated by, ( g ) two-way ANOVA, Tukey’s test, and ( h ) Two-tailed Student’s t-test. i Cellular glutathione measured in U2OS cells, siCtrl or siZDHHC20 (72 h) alone or recomplemented with short/long ZDHHC20 (24 h). Data are mean ± SEM from one of three independent experiments ( n = 6). p values by, two-way ANOVA, Tukey’s test j Viability assessed using Promega Glo ATB detection in U2OS cells as in i, treated as in ( h ). Data are mean ± SEM from one of three independent experiments ( n = 36 replicates). p values by, two-way ANOVA, Tukey’s test k Proposed Model: Under homeostasis, ATF2–SETDB1–KAP1–ZNF354A repress antioxidant genes. Lipid peroxide accumulation activates p38/JNK signaling, leading to ZNF354A dissociation and induction of antioxidant responses. Created in BioRender. abrami, I ( https://BioRender.com/gvmrwgl ).

Article Snippet: The antibodies and reagents were acquired from: ATF2 (Abcam: ab_131484; RRID: AB_11156678, rabbit: 1:2000x), ATF2 (Abcam: E243 ab32160, RRID: AB_2243137, rabbit: 1:2000x), phosphor-ATF2 (T69) (Abcam: 131106; RRID: AB_11157608;rabbit:1:1000x), GAPDH (Thermofisher: 398600; RRID: AB_2533438; mouse: 1:4000x), ZDHHC20 (Sigma: SAB4501054; RRID: AB_10744838; rabbit: 1:2000x), HA-HRP (Roche: 112013819001; RRID: AB_390917; rat: 1:5000x), KAP1 (Abcam: ab_109289; RRID: AB_10863057, rabbit: 1:1000x), phosphor-KAP1 S473 was generated in D. TRONO laboratory using the following peptide krsrSgegevsgl (rabbit: 1:500x), Nucleocapside N SARS-CoV-2 (Genetex: GTX135357; RRID: AB_2868464; rabbit 1:4000x), FLAG (Sigma: F3165; RRID: AB_259529; mouse: 1:2000x), phosphor-Threonine-Serine (BD: 612548; RRID: AB_399843; rabbit: 1:1000x), GPX4 for WB (Cell Signalling: 52455; RRID: AB_2924984, rabbit: 1:1000x), GPX4 for IP (MA5-49216, RRID: AB_3074874, mouse 1:2000x), SETDB1 (Novus Biologicals: NBP1_51677; RRID: AB_11002952, mouse: 1:2000x), NRF2 (Abnova: H00004780; RRID:566020, mouse: 1:2000x), V5-HRP (Sigma: V2260; RRID: AB_261857, mouse: 1:2000x), Actin (Millipore: MAB1501; RRID: AB_2223041, mouse: 1:4000x), MAT1A (Abcam: 129176; RRID: AB_11145300, rabbit: 1:2000x), ZNF354A (Santa Cruz: 81140; RRID: AB_1131557, mouse: 1:1000x), MAT1A (Abcam: ab1129176, RRID: AB_11145300, rabbit: 1:1000x), Myc (Millipore: 9E10, 05-419, RRID: AB_309725, mouse: 1:3000x), and HRP-conjugated secondary antibodies (GE-Healthcare).

Techniques: Metabolic Labelling, Labeling, Immunoprecipitation, SDS Page, Western Blot, Autoradiography, Incubation, Plasmid Preparation, Expressing, Control, Two Tailed Test

A. Schematic representation of the cell lines exhibiting different SETDB1 expression levels. A549 Ctrl cells exhibit endogenous overexpression of SETDB1. SETDB1 KO cells show complete loss of SETDB1. In the inducible shRNA-mediated knockdown model (SETDB1 KD), cells are either untreated (0) or treated with doxycycline for 3 or 7 days (3d, 7d), resulting in a progressive reduction of SETDB1 levels. B. SETDB1 mRNA levels measured by RT-qPCR and normalized to PPIA . Values are shown relative to A549 cells (Ctrl). Bars represent the mean of N=3 biological replicates +/− SD error bars., with individual data points indicated. Statistical significance was assessed using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. C. Principal Component Analysis (PCA) based on gene expression profiles for A549 cells (Ctrl), SETDB1 KO, SETDB1 KD 0 (no doxycycline), and SETDB1 KD 7d-dox. D. Venn diagram of differentially expressed genes (DEGs). Comparison of Control vs SETDB1 KO (light grey) and SETDB1 KD 0 vs 7d-dox (dark grey). DEGs were selected based on a specified log2 fold change (log2FC) threshold: log2FC > +1 or <-1. E. Volcano plots showing -log10(p-value) (-Log10 P) versus log2 fold change for gene expression comparisons: Control vs SETDB1 KO and SETDB1 KD 0 vs 7d-dox. F. Heatmap of log2 fold changes for genes associated with cell migration, comparing Ctrl vs SETDB1 KO and SETDB1 KD 0 vs 7d-dox. Migration-related genes were selected from Gene Ontology database ( GO:0016477 ). G. Representative immunofluorescence images of Ctrl, SETDB1 KO, SETDB1 KD 7 days-dox cells stained with anti-CDH1 (E-cadherin, green). Nuclei are counterstained with DAPI (blue). Merged images show overlay of CDH1 and DAPI signals. Scale bar: 50 µm. H. Left: Representative images from Transwell migration assays for Control, SETDB1 KO, and SETDB1 KD (0, 3, 7 days-dox). Migrated cells are stained in violet; images acquired at 40× magnification. Scale bar: 500 µm. Right: Quantification of migrated cells by absorbance measurement at 590 nm. Data represents N=4 replicates; red lines indicate the sample mean +/−SD error bars. Statistical analysis performed via unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001.

Journal: bioRxiv

Article Title: Epigenetic control of nuclear mechanics and cellular migration via histone H3 lysine 9 methylation at Lamina-Associated Domains

doi: 10.1101/2025.11.28.690983

Figure Lengend Snippet: A. Schematic representation of the cell lines exhibiting different SETDB1 expression levels. A549 Ctrl cells exhibit endogenous overexpression of SETDB1. SETDB1 KO cells show complete loss of SETDB1. In the inducible shRNA-mediated knockdown model (SETDB1 KD), cells are either untreated (0) or treated with doxycycline for 3 or 7 days (3d, 7d), resulting in a progressive reduction of SETDB1 levels. B. SETDB1 mRNA levels measured by RT-qPCR and normalized to PPIA . Values are shown relative to A549 cells (Ctrl). Bars represent the mean of N=3 biological replicates +/− SD error bars., with individual data points indicated. Statistical significance was assessed using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. C. Principal Component Analysis (PCA) based on gene expression profiles for A549 cells (Ctrl), SETDB1 KO, SETDB1 KD 0 (no doxycycline), and SETDB1 KD 7d-dox. D. Venn diagram of differentially expressed genes (DEGs). Comparison of Control vs SETDB1 KO (light grey) and SETDB1 KD 0 vs 7d-dox (dark grey). DEGs were selected based on a specified log2 fold change (log2FC) threshold: log2FC > +1 or <-1. E. Volcano plots showing -log10(p-value) (-Log10 P) versus log2 fold change for gene expression comparisons: Control vs SETDB1 KO and SETDB1 KD 0 vs 7d-dox. F. Heatmap of log2 fold changes for genes associated with cell migration, comparing Ctrl vs SETDB1 KO and SETDB1 KD 0 vs 7d-dox. Migration-related genes were selected from Gene Ontology database ( GO:0016477 ). G. Representative immunofluorescence images of Ctrl, SETDB1 KO, SETDB1 KD 7 days-dox cells stained with anti-CDH1 (E-cadherin, green). Nuclei are counterstained with DAPI (blue). Merged images show overlay of CDH1 and DAPI signals. Scale bar: 50 µm. H. Left: Representative images from Transwell migration assays for Control, SETDB1 KO, and SETDB1 KD (0, 3, 7 days-dox). Migrated cells are stained in violet; images acquired at 40× magnification. Scale bar: 500 µm. Right: Quantification of migrated cells by absorbance measurement at 590 nm. Data represents N=4 replicates; red lines indicate the sample mean +/−SD error bars. Statistical analysis performed via unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001.

Article Snippet: Stable shSETDB1-A549 cell lines were established by transducing cells with in-house–produced lentiviral particles carrying the constructs listed in , cloned into pLKO-Tet-On vectors (modified from Addgene#83481). shRNA sequences targeting SETDB1 and a scrambled shRNA used as a negative control were designed using the siRNA Wizard tool ( https://www.invivogen.com/sirnawizard/ ). shRNA expression was induced with doxycycline (1 μg/mL).

Techniques: Expressing, Over Expression, shRNA, Knockdown, Quantitative RT-PCR, Gene Expression, Comparison, Control, Migration, Immunofluorescence, Staining

A. Western blot analysis of SETDB1 protein levels in A549 cells (Ctrl), SETDB1 KO, shCTR (0, 3d, 7d), and SETDB1 KD (0, 3d, 7d dox-treated) cells. H3 is used as a loading control. B. Quantification of SETDB1 protein level normalized to H3 used for A549 cells (Ctrl), SETDB1 KO, shCTR (0, 3d, 7d), and SETDB1 KD (0, 3d, 7d dox-treated) cells. Bars represent the mean of N=4 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. C. Volcano plot showing -log10(p-value) (-Log10 P) versus log2 fold change for gene expression comparison between shCTR-0d and shCTR-7d dox-treated cells, indicating minimal transcriptional effects of doxycycline or the shRNA system alone. D. mRNA levels of SETDB1, ATF7IP, and PCDHB6 measured by RT-qPCR and normalized to PPIA. Expression levels are relative to A549 cells (Ctrl), Bars represent the mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. E. Gene Set Enrichment Analysis (GSEA) plots for MYC targets and WNT/β-catenin signaling pathways comparing Control vs SETDB1 KO and SETDB1 KD 0 vs 7d dox-treated conditions. Normalized Enrichment Scores (NES) are reported. F. NES values for the Hallmark “Apical Junction” gene set in Ctrl vs SETDB1 KO (light grey) and SETDB1 KD 0 vs 7d dox-treated (dark grey) comparisons. G. Quantification of E-cadherin signal (marker of cell–cell adhesion) from immunofluorescence images (see ) of Control, SETDB1 KO and SETDB1 KD 7d dox-treated cells. Modal grey value per field is measured, >30 fields per condition are analyzed, N= 3 biological replicates, in the graph is indicated the mean +/− SD error bars; Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. H. Representative immunofluorescence images of Ctrl, SETDB1 KO and SETDB1 KD 7d dox-treated cells stained with anti-Paxillin (green). Nuclei are counterstained with DAPI (blue). Merged images show colocalization. Scale bar: 50 µm. I. Quantification of Paxillin signal (marker of focal adhesions) from images in panel S1H. Dots stand for the mean grey value of the field / number of nuclei x field, 15 fields are analyzed from N= 3 biological replicates, in the graph is indicated the mean +/− SD error bars; Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. J. Left: Representative wound healing images at 0, 24, and 48 hours after wound for SETDB1 KD 0 and 7d dox-treated cells. Lines on pictures indicate wound edges over time Right: Quantification of wound gap size (%) over time for Ctrl, SETDB1 KO, and SETDB1 KD (0, 3d, 7d dox-treated). Wound size is normalized at time 0 (100%). Error bars stand for −/+ SD and statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. K. Cell proliferation curves showing the number of cells (×10□) over time (0, 3, 5, 7 days) for Ctrl, SETDB1 KO, shCTR (0 and 7d dox-treated), and SETDB1 KD (0 and 7d dox-treated). Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001.

Journal: bioRxiv

Article Title: Epigenetic control of nuclear mechanics and cellular migration via histone H3 lysine 9 methylation at Lamina-Associated Domains

doi: 10.1101/2025.11.28.690983

Figure Lengend Snippet: A. Western blot analysis of SETDB1 protein levels in A549 cells (Ctrl), SETDB1 KO, shCTR (0, 3d, 7d), and SETDB1 KD (0, 3d, 7d dox-treated) cells. H3 is used as a loading control. B. Quantification of SETDB1 protein level normalized to H3 used for A549 cells (Ctrl), SETDB1 KO, shCTR (0, 3d, 7d), and SETDB1 KD (0, 3d, 7d dox-treated) cells. Bars represent the mean of N=4 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. C. Volcano plot showing -log10(p-value) (-Log10 P) versus log2 fold change for gene expression comparison between shCTR-0d and shCTR-7d dox-treated cells, indicating minimal transcriptional effects of doxycycline or the shRNA system alone. D. mRNA levels of SETDB1, ATF7IP, and PCDHB6 measured by RT-qPCR and normalized to PPIA. Expression levels are relative to A549 cells (Ctrl), Bars represent the mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. E. Gene Set Enrichment Analysis (GSEA) plots for MYC targets and WNT/β-catenin signaling pathways comparing Control vs SETDB1 KO and SETDB1 KD 0 vs 7d dox-treated conditions. Normalized Enrichment Scores (NES) are reported. F. NES values for the Hallmark “Apical Junction” gene set in Ctrl vs SETDB1 KO (light grey) and SETDB1 KD 0 vs 7d dox-treated (dark grey) comparisons. G. Quantification of E-cadherin signal (marker of cell–cell adhesion) from immunofluorescence images (see ) of Control, SETDB1 KO and SETDB1 KD 7d dox-treated cells. Modal grey value per field is measured, >30 fields per condition are analyzed, N= 3 biological replicates, in the graph is indicated the mean +/− SD error bars; Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. H. Representative immunofluorescence images of Ctrl, SETDB1 KO and SETDB1 KD 7d dox-treated cells stained with anti-Paxillin (green). Nuclei are counterstained with DAPI (blue). Merged images show colocalization. Scale bar: 50 µm. I. Quantification of Paxillin signal (marker of focal adhesions) from images in panel S1H. Dots stand for the mean grey value of the field / number of nuclei x field, 15 fields are analyzed from N= 3 biological replicates, in the graph is indicated the mean +/− SD error bars; Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. J. Left: Representative wound healing images at 0, 24, and 48 hours after wound for SETDB1 KD 0 and 7d dox-treated cells. Lines on pictures indicate wound edges over time Right: Quantification of wound gap size (%) over time for Ctrl, SETDB1 KO, and SETDB1 KD (0, 3d, 7d dox-treated). Wound size is normalized at time 0 (100%). Error bars stand for −/+ SD and statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. K. Cell proliferation curves showing the number of cells (×10□) over time (0, 3, 5, 7 days) for Ctrl, SETDB1 KO, shCTR (0 and 7d dox-treated), and SETDB1 KD (0 and 7d dox-treated). Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001.

Article Snippet: Stable shSETDB1-A549 cell lines were established by transducing cells with in-house–produced lentiviral particles carrying the constructs listed in , cloned into pLKO-Tet-On vectors (modified from Addgene#83481). shRNA sequences targeting SETDB1 and a scrambled shRNA used as a negative control were designed using the siRNA Wizard tool ( https://www.invivogen.com/sirnawizard/ ). shRNA expression was induced with doxycycline (1 μg/mL).

Techniques: Western Blot, Control, Gene Expression, Comparison, shRNA, Quantitative RT-PCR, Expressing, Protein-Protein interactions, Marker, Immunofluorescence, Staining

A. Quantification of the normalized to the Ctrl level of H3K9me3 in the nucleus in different cell lines normalized to Ctrl. Bars represent the mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. B. Representative immunofluorescence images taken with the automated Operetta system used for the quantification for shCTR control cells and dox-treated cells. Cells stained with anti-H3K9me3 antibody, represented in orange. DNA was labelled with DAPI in blue. Scale bar: 50 µm. C. Quantification of H3K9me3 signal at nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel B. Each point represents the ratio between the intensity of the H3K9me3 signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 500 cells were randomly picked over more than 10 000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. D. MA plot depicting lamina-associated domains (LADs) ≥100 kb identified in Ctrl and SETDB1 KO cells. Each dot represents an individual LAD. Red and blue dots indicate LADs significantly gained or lost in SETDB1 KO relative to Ctrl cells (log ₂ fold change > 1.5; false Discovery Rate, FDR < 0.05). E. Boxplot comparing the comparable genomic span of gained and lost LADs upon SETDB1 KO. Both categories span approximately 22 Mb. F. Graphical representation of the chromosomal distribution and positioning of gained (red) and lost (blue) Lamina-Associated Domains (LADs) in SETDB1 KO compared to Ctrl cells. The magnitude of change is indicated by a color gradient reflecting the log ₂ fold change (log2FC). G. Integrated Genome Viewer (IGV) tracks displaying DamID-seq and ChIP-seq data from Ctrl and SETDB1 KO cells. Tracks represent Dam-Lamin B1 (DamID) and H3K9me3 (ChIP_H3K9me3) normalized signals, respectively. LADs are highlighted in red, while inter-LAD regions are shown in blue. The figure illustrates a loss of LADs on chromosome 19 (Chr19) in SETDB1 KO cells relative to Control, accompanied by a corresponding decrease in H3K9me3 signal. H3K9me3 ChIP-seq data were obtained from reference.

Journal: bioRxiv

Article Title: Epigenetic control of nuclear mechanics and cellular migration via histone H3 lysine 9 methylation at Lamina-Associated Domains

doi: 10.1101/2025.11.28.690983

Figure Lengend Snippet: A. Quantification of the normalized to the Ctrl level of H3K9me3 in the nucleus in different cell lines normalized to Ctrl. Bars represent the mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. B. Representative immunofluorescence images taken with the automated Operetta system used for the quantification for shCTR control cells and dox-treated cells. Cells stained with anti-H3K9me3 antibody, represented in orange. DNA was labelled with DAPI in blue. Scale bar: 50 µm. C. Quantification of H3K9me3 signal at nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel B. Each point represents the ratio between the intensity of the H3K9me3 signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 500 cells were randomly picked over more than 10 000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. D. MA plot depicting lamina-associated domains (LADs) ≥100 kb identified in Ctrl and SETDB1 KO cells. Each dot represents an individual LAD. Red and blue dots indicate LADs significantly gained or lost in SETDB1 KO relative to Ctrl cells (log ₂ fold change > 1.5; false Discovery Rate, FDR < 0.05). E. Boxplot comparing the comparable genomic span of gained and lost LADs upon SETDB1 KO. Both categories span approximately 22 Mb. F. Graphical representation of the chromosomal distribution and positioning of gained (red) and lost (blue) Lamina-Associated Domains (LADs) in SETDB1 KO compared to Ctrl cells. The magnitude of change is indicated by a color gradient reflecting the log ₂ fold change (log2FC). G. Integrated Genome Viewer (IGV) tracks displaying DamID-seq and ChIP-seq data from Ctrl and SETDB1 KO cells. Tracks represent Dam-Lamin B1 (DamID) and H3K9me3 (ChIP_H3K9me3) normalized signals, respectively. LADs are highlighted in red, while inter-LAD regions are shown in blue. The figure illustrates a loss of LADs on chromosome 19 (Chr19) in SETDB1 KO cells relative to Control, accompanied by a corresponding decrease in H3K9me3 signal. H3K9me3 ChIP-seq data were obtained from reference.

Article Snippet: Stable shSETDB1-A549 cell lines were established by transducing cells with in-house–produced lentiviral particles carrying the constructs listed in , cloned into pLKO-Tet-On vectors (modified from Addgene#83481). shRNA sequences targeting SETDB1 and a scrambled shRNA used as a negative control were designed using the siRNA Wizard tool ( https://www.invivogen.com/sirnawizard/ ). shRNA expression was induced with doxycycline (1 μg/mL).

Techniques: Immunofluorescence, Control, Staining, Microscopy, ChIP-sequencing

A. Representative immunofluorescence images of A549 cells (Ctrl), SETDB1 KO, SETDB1 KD 0, 3d and 7d dox-treated cells stained with anti-H3K9me3 antibody. DNA was labelled with DAPI. In the merge the DAPI is represented in blue and the H3K9me3 in red. Scale bar: 5 µm. B. Violin plot showing the quantification of H3K9me3 signal at the nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel A. Each point represents the ratio between the intensity of the signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 1000 cells were randomly picked over more than 10 000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. C. Scatter plots showing the correlation between normalized read counts (log ₂ [Dam-LB1/Dam]) from DamID-seq experiments performed in Ctrl and SETDB1 KO cells, using a bin size of 10 kb. The Spearman correlation coefficient (R) is indicated on the plot. The dashed line represents the fitted correlation line. Outliers exceeding ±4 standard deviations from the correlation line are highlighted in red and denote genomic regions specifically enriched in either Ctrl or SETDB1 KO cells. D. Integrated Genome Viewer (IGV) tracks displaying DamID-seq and ChIP-seq data from Ctrl and SETDB1 KO cells. Tracks represent Dam- Lamin B1 (DamID) and H3K9me3 (ChIP_H3K9me3) normalized signals, respectively. Genomic regions corresponding to lamina-associated domains (LADs) are highlighted in red, while inter-LAD regions are shown in blue. Although LADs are broadly conserved across the depicted region of chromosome 2 (Chr2), the figure reveals a pronounced increase in H3K9me3 signal at LADs in SETDB1 KO cells compared to control cells. H3K9me3 ChIP-seq data were obtained from reference [18]. E. Boxplot comparing the size of LADs, measured in base pairs, between Ctrl and SETDB1 KO cells. Statistical analysis indicates no significant difference (ns) between the two conditions.

Journal: bioRxiv

Article Title: Epigenetic control of nuclear mechanics and cellular migration via histone H3 lysine 9 methylation at Lamina-Associated Domains

doi: 10.1101/2025.11.28.690983

Figure Lengend Snippet: A. Representative immunofluorescence images of A549 cells (Ctrl), SETDB1 KO, SETDB1 KD 0, 3d and 7d dox-treated cells stained with anti-H3K9me3 antibody. DNA was labelled with DAPI. In the merge the DAPI is represented in blue and the H3K9me3 in red. Scale bar: 5 µm. B. Violin plot showing the quantification of H3K9me3 signal at the nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel A. Each point represents the ratio between the intensity of the signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 1000 cells were randomly picked over more than 10 000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. C. Scatter plots showing the correlation between normalized read counts (log ₂ [Dam-LB1/Dam]) from DamID-seq experiments performed in Ctrl and SETDB1 KO cells, using a bin size of 10 kb. The Spearman correlation coefficient (R) is indicated on the plot. The dashed line represents the fitted correlation line. Outliers exceeding ±4 standard deviations from the correlation line are highlighted in red and denote genomic regions specifically enriched in either Ctrl or SETDB1 KO cells. D. Integrated Genome Viewer (IGV) tracks displaying DamID-seq and ChIP-seq data from Ctrl and SETDB1 KO cells. Tracks represent Dam- Lamin B1 (DamID) and H3K9me3 (ChIP_H3K9me3) normalized signals, respectively. Genomic regions corresponding to lamina-associated domains (LADs) are highlighted in red, while inter-LAD regions are shown in blue. Although LADs are broadly conserved across the depicted region of chromosome 2 (Chr2), the figure reveals a pronounced increase in H3K9me3 signal at LADs in SETDB1 KO cells compared to control cells. H3K9me3 ChIP-seq data were obtained from reference [18]. E. Boxplot comparing the size of LADs, measured in base pairs, between Ctrl and SETDB1 KO cells. Statistical analysis indicates no significant difference (ns) between the two conditions.

Article Snippet: Stable shSETDB1-A549 cell lines were established by transducing cells with in-house–produced lentiviral particles carrying the constructs listed in , cloned into pLKO-Tet-On vectors (modified from Addgene#83481). shRNA sequences targeting SETDB1 and a scrambled shRNA used as a negative control were designed using the siRNA Wizard tool ( https://www.invivogen.com/sirnawizard/ ). shRNA expression was induced with doxycycline (1 μg/mL).

Techniques: Immunofluorescence, Staining, Microscopy, ChIP-sequencing, Control

A. mRNA levels of SUV39H1 measured by RT-qPCR and normalized to PPIA. Expression levels are relative to A549 cells (Ctrl). siRNA against SUV39H is indicated as “+” and siCTR as “-”. Bars represent the mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. B. Western blot analysis of SETDB1 and SUV39H1 protein levels in Ctrl and SETDB1 KO +/−siRNA against SUV39H cell lines. Lamin A/C and H3 were used as a loading control. C. Representative immunofluorescence images of Ctrl and SETDB1 KO +/− siRNA against SUV39H. Cells were stained with anti-H3K9me3 antibody. The nuclei were labelled with DAPI. The merged images show DAPI in blue and H3K9me3 in red. Scale bar: 5µm. D. Violin plot showing the quantification of H3K9me3 signal at nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel C. Each point represents the ratio between the intensity of the signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 100 cells were randomly picked over more than 10 000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. E. Bar plot showing the quantification of the total level of H3K9me3 in the nucleus in different cell lines normalized to Ctrl measured with the automated microscope (Operetta) corresponding to the phenotype observe d in panel C. Bars represent the normalized to the Ctrl mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. F. Bar plot showing the quantification of the total level of H3K9me3 in the nucleus in different cell lines normalized to Ctrl measured with the automated microscope (Operetta) corresponding to the phenotype observe d in panel . Bars represent the normalized to the Ctrl mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. G. Structure of SETDB1 showing the position of the two lysins (K1186 and K1194) that were modified with alanine (A) to disrupt the SETDB1-SUV39H1 interaction. H. Solubility test for SUV39H1 in Ctrl and SETDB1 KO cells using increasing NaCl concentration (500 to 700 mM). G9A, EZH2 and HP1α are used as control to show that there is no change in solubility for these proteins between Ctrl and SETDB1 KO. On the right the total nuclei extract shows that the level of SUV39H1 is similar in Ctrl and SETDB1 KO cells.

Journal: bioRxiv

Article Title: Epigenetic control of nuclear mechanics and cellular migration via histone H3 lysine 9 methylation at Lamina-Associated Domains

doi: 10.1101/2025.11.28.690983

Figure Lengend Snippet: A. mRNA levels of SUV39H1 measured by RT-qPCR and normalized to PPIA. Expression levels are relative to A549 cells (Ctrl). siRNA against SUV39H is indicated as “+” and siCTR as “-”. Bars represent the mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. B. Western blot analysis of SETDB1 and SUV39H1 protein levels in Ctrl and SETDB1 KO +/−siRNA against SUV39H cell lines. Lamin A/C and H3 were used as a loading control. C. Representative immunofluorescence images of Ctrl and SETDB1 KO +/− siRNA against SUV39H. Cells were stained with anti-H3K9me3 antibody. The nuclei were labelled with DAPI. The merged images show DAPI in blue and H3K9me3 in red. Scale bar: 5µm. D. Violin plot showing the quantification of H3K9me3 signal at nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel C. Each point represents the ratio between the intensity of the signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 100 cells were randomly picked over more than 10 000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. E. Bar plot showing the quantification of the total level of H3K9me3 in the nucleus in different cell lines normalized to Ctrl measured with the automated microscope (Operetta) corresponding to the phenotype observe d in panel C. Bars represent the normalized to the Ctrl mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. F. Bar plot showing the quantification of the total level of H3K9me3 in the nucleus in different cell lines normalized to Ctrl measured with the automated microscope (Operetta) corresponding to the phenotype observe d in panel . Bars represent the normalized to the Ctrl mean of N=3 biological replicates +/− SD error bars, with individual values shown. Statistical significance was determined using an unpaired t-test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001. G. Structure of SETDB1 showing the position of the two lysins (K1186 and K1194) that were modified with alanine (A) to disrupt the SETDB1-SUV39H1 interaction. H. Solubility test for SUV39H1 in Ctrl and SETDB1 KO cells using increasing NaCl concentration (500 to 700 mM). G9A, EZH2 and HP1α are used as control to show that there is no change in solubility for these proteins between Ctrl and SETDB1 KO. On the right the total nuclei extract shows that the level of SUV39H1 is similar in Ctrl and SETDB1 KO cells.

Article Snippet: Stable shSETDB1-A549 cell lines were established by transducing cells with in-house–produced lentiviral particles carrying the constructs listed in , cloned into pLKO-Tet-On vectors (modified from Addgene#83481). shRNA sequences targeting SETDB1 and a scrambled shRNA used as a negative control were designed using the siRNA Wizard tool ( https://www.invivogen.com/sirnawizard/ ). shRNA expression was induced with doxycycline (1 μg/mL).

Techniques: Quantitative RT-PCR, Expressing, Western Blot, Control, Immunofluorescence, Staining, Microscopy, Modification, Solubility, Concentration Assay

A. Representative immunofluorescence images of Ctrl, SETDB1 KO, Ctrl + SUV39H1 WT, Ctrl + SUV39H1 catalytic mutant. Cells were stained with anti-H3K9me3 antibody and positive cells expressing exogenous SUV39H1 WT or catalytic mutant constructs were stained with anti-MYC antibody. The nuclei were labelled with DAPI. The merge images show the DAPI in blue, MYC in green and H3K9me3 in red. Scale bar: 5µm. B. Violin plot showing the quantification of H3K9me3 signal at the nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel A. Cells analyzed are considered positive based on the value of the total intensity of the MYC signal inside the nucleus. Each point represents the ratio between the intensity of the signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 1000 cells were randomly picked over more than 10 000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. C. Representative immunofluorescence images of SETDB1 KO + empty vector, + SETDB1 WT, + SETDB1 catalytic mutant or SUV39H1 interaction mutants. Cells were stained with anti-H3K9me3 and anti-FLAG antibodies. Flag is used to identify the positive cells. DNA was labelled with DAPI. The merged images show DAPI in blue, H3K9me3 in red and the FLAG in green. Scale bar: 5 µm. D. Violin plot showing the quantification of H3K9me3 signal at nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel C. Cells analyzed are considered positive based on the value of the total intensity of the FLAG signal within the nucleus. Each point represents the ratio between the intensity of the signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 100 cells were randomly picked over more than 3000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. E. Solubility test for SUV39H1 in SETDB1 KD 0 days-dox (top) and SETDB1 KD 7 days-dox (bottom) cells using increasing NaCl concentration (400 to 1000 mM). SETDB1 is controlled to show the efficiency of the dox treatment. EZH2 is used as control to show that there is no change in solubility between 0 and 7 days-dox SETDB1 KD. On the left the total nuclei extract shows that the level of SUV39H1 in 0 and 7 days-dox SETDB1 KD cells.

Journal: bioRxiv

Article Title: Epigenetic control of nuclear mechanics and cellular migration via histone H3 lysine 9 methylation at Lamina-Associated Domains

doi: 10.1101/2025.11.28.690983

Figure Lengend Snippet: A. Representative immunofluorescence images of Ctrl, SETDB1 KO, Ctrl + SUV39H1 WT, Ctrl + SUV39H1 catalytic mutant. Cells were stained with anti-H3K9me3 antibody and positive cells expressing exogenous SUV39H1 WT or catalytic mutant constructs were stained with anti-MYC antibody. The nuclei were labelled with DAPI. The merge images show the DAPI in blue, MYC in green and H3K9me3 in red. Scale bar: 5µm. B. Violin plot showing the quantification of H3K9me3 signal at the nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel A. Cells analyzed are considered positive based on the value of the total intensity of the MYC signal inside the nucleus. Each point represents the ratio between the intensity of the signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 1000 cells were randomly picked over more than 10 000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. C. Representative immunofluorescence images of SETDB1 KO + empty vector, + SETDB1 WT, + SETDB1 catalytic mutant or SUV39H1 interaction mutants. Cells were stained with anti-H3K9me3 and anti-FLAG antibodies. Flag is used to identify the positive cells. DNA was labelled with DAPI. The merged images show DAPI in blue, H3K9me3 in red and the FLAG in green. Scale bar: 5 µm. D. Violin plot showing the quantification of H3K9me3 signal at nuclear periphery measured with the automated microscope (Operetta) corresponding to the phenotype observed in panel C. Cells analyzed are considered positive based on the value of the total intensity of the FLAG signal within the nucleus. Each point represents the ratio between the intensity of the signal at the nuclear periphery (defined by DAPI) and the total nuclear H3K9me3 signal intensity. 100 cells were randomly picked over more than 3000 cells per condition. The red dot indicates the mean of N=3 biological replicates +/− SD error bars. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. E. Solubility test for SUV39H1 in SETDB1 KD 0 days-dox (top) and SETDB1 KD 7 days-dox (bottom) cells using increasing NaCl concentration (400 to 1000 mM). SETDB1 is controlled to show the efficiency of the dox treatment. EZH2 is used as control to show that there is no change in solubility between 0 and 7 days-dox SETDB1 KD. On the left the total nuclei extract shows that the level of SUV39H1 in 0 and 7 days-dox SETDB1 KD cells.

Article Snippet: Stable shSETDB1-A549 cell lines were established by transducing cells with in-house–produced lentiviral particles carrying the constructs listed in , cloned into pLKO-Tet-On vectors (modified from Addgene#83481). shRNA sequences targeting SETDB1 and a scrambled shRNA used as a negative control were designed using the siRNA Wizard tool ( https://www.invivogen.com/sirnawizard/ ). shRNA expression was induced with doxycycline (1 μg/mL).

Techniques: Immunofluorescence, Mutagenesis, Staining, Expressing, Construct, Microscopy, Plasmid Preparation, Solubility, Concentration Assay, Control

A. Schematic representation of the microfluidic assay. Cells are pushed under controlled pressure drop through constrictions of square cross-section (6×6 μm 2 ) and the entry of the cell was observed using brightfield microscopy at high frame rate. B. Typical sequential images of a cell passing through a microfluidic constriction at 4 time points (msec). C. Dot plot representation of the cellular long-time viscosity h 2 , in kPa.s, of Ctrl cells and SETDB1 KO cells with siCTR and siSUV39H. The dot plots of the non-Gaussian distributions are displayed in log scale; each dot corresponds to one cell; medians and 95% CI are indicated. Data represent N = 3 biological replicates, each with more than 50 cells (n > 50). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. D. Schematic representation of the optical tweezers nuclear indentation experiment. After internalization of 2 µm-diameter green fluorescent beads by the cells, a bead located close to the nucleus is trapped by the optical tweezers. The piezo stage is moved in order to push the bead against the nuclear envelope and indent the nucleus. E. Sequential images of a nucleus before and after the piezo stage movement and the indentation for Ctrl, SETDB1 KO, SETDB1 KD 7d cells. The nuclei were stained in blue with Hoechst; the bead is shown in green. F. Boxplot showing the quantification of the nuclear rigidity K (pN/μm) in Ctrl and SETDB1 KO cells treated with siCTR, siSUV39H, siLaminA/C and in SETDB1 KD 0, 3d and 7d dox treated cells. The line that divides the box represents the median of the data. The ends of the box indicate the upper (Q3) and lower (Q1) quartiles. The difference between Quartiles 1 and 3 is known as the interquartile range (IQR), which measures the spread of the middle 50% of the data. The lines extending from the box show the range of values within Q3 + 1.5 × IQR to Q1 - 1.5 × IQR, representing the highest and lowest values, excluding outliers. Dots beyond the whiskers indicate potential outliers in the dataset. The mean +/− SD is shown in red. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. G. Working model for the regulation of H3K9me3 distribution and nuclear mechanics by SETDB1 and SUV39H1. The balance between SETDB1 and SUV39H1 determines the localization of H3K9me3 at LADs. Upon SETDB1 loss of function (LOF), SUV39H1 activity drives the redistribution and enrichment of H3K9me3 at the nuclear periphery. Increased H3K9me3 at LADs enhances cellular and nuclear biophysical properties: it induces an increase of cellular viscosity and nuclear stiffness, reducing nuclear deformability and impairing efficient cell invasion.

Journal: bioRxiv

Article Title: Epigenetic control of nuclear mechanics and cellular migration via histone H3 lysine 9 methylation at Lamina-Associated Domains

doi: 10.1101/2025.11.28.690983

Figure Lengend Snippet: A. Schematic representation of the microfluidic assay. Cells are pushed under controlled pressure drop through constrictions of square cross-section (6×6 μm 2 ) and the entry of the cell was observed using brightfield microscopy at high frame rate. B. Typical sequential images of a cell passing through a microfluidic constriction at 4 time points (msec). C. Dot plot representation of the cellular long-time viscosity h 2 , in kPa.s, of Ctrl cells and SETDB1 KO cells with siCTR and siSUV39H. The dot plots of the non-Gaussian distributions are displayed in log scale; each dot corresponds to one cell; medians and 95% CI are indicated. Data represent N = 3 biological replicates, each with more than 50 cells (n > 50). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. D. Schematic representation of the optical tweezers nuclear indentation experiment. After internalization of 2 µm-diameter green fluorescent beads by the cells, a bead located close to the nucleus is trapped by the optical tweezers. The piezo stage is moved in order to push the bead against the nuclear envelope and indent the nucleus. E. Sequential images of a nucleus before and after the piezo stage movement and the indentation for Ctrl, SETDB1 KO, SETDB1 KD 7d cells. The nuclei were stained in blue with Hoechst; the bead is shown in green. F. Boxplot showing the quantification of the nuclear rigidity K (pN/μm) in Ctrl and SETDB1 KO cells treated with siCTR, siSUV39H, siLaminA/C and in SETDB1 KD 0, 3d and 7d dox treated cells. The line that divides the box represents the median of the data. The ends of the box indicate the upper (Q3) and lower (Q1) quartiles. The difference between Quartiles 1 and 3 is known as the interquartile range (IQR), which measures the spread of the middle 50% of the data. The lines extending from the box show the range of values within Q3 + 1.5 × IQR to Q1 - 1.5 × IQR, representing the highest and lowest values, excluding outliers. Dots beyond the whiskers indicate potential outliers in the dataset. The mean +/− SD is shown in red. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. G. Working model for the regulation of H3K9me3 distribution and nuclear mechanics by SETDB1 and SUV39H1. The balance between SETDB1 and SUV39H1 determines the localization of H3K9me3 at LADs. Upon SETDB1 loss of function (LOF), SUV39H1 activity drives the redistribution and enrichment of H3K9me3 at the nuclear periphery. Increased H3K9me3 at LADs enhances cellular and nuclear biophysical properties: it induces an increase of cellular viscosity and nuclear stiffness, reducing nuclear deformability and impairing efficient cell invasion.

Article Snippet: Stable shSETDB1-A549 cell lines were established by transducing cells with in-house–produced lentiviral particles carrying the constructs listed in , cloned into pLKO-Tet-On vectors (modified from Addgene#83481). shRNA sequences targeting SETDB1 and a scrambled shRNA used as a negative control were designed using the siRNA Wizard tool ( https://www.invivogen.com/sirnawizard/ ). shRNA expression was induced with doxycycline (1 μg/mL).

Techniques: Microscopy, Viscosity, Staining, Activity Assay

A. Dot plot representation of the entry time Te (in seconds, s) of Ctrl and SETDB1 KO cells treated with siCTR and siSUV39H. The dot plots of the non-Gaussian distributions are displayed on a logarithmic scale. Each dot represents a single cell; medians and 95% CI are shown. Data represent N = 3 biological replicates, each with more than 100 cells (n > 100). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. B. Dot plot representation of the cellular projected diameter D (as a proxy of the cell size, in μm) in Ctrl and SETDB1 KO cells treated with siCTR and siSUV39H. Each dot represents a single cell; mean +/−SD is shown in red. Data represent N = 3 biological replicates, each with more than 100 cells (n > 100). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. C. Distributions of entry time Te (in seconds, s) for Ctrl (top) and SETDB1 KO (bottom) cells treated with siCTR and siSUV39H sorted by cell diameter D in three groups. Each dot represents a single cell; medians and 95% CI are shown. Data represent N = 3 biological replicates. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. D. Dot plot representation of the short-time viscosity h 1 , in Pa.s, of Ctrl cells and SETDB1 KO cells treated with siCTR and siSUV39H. The dot plots of the non-Gaussian distributions are displayed on a logarithmic scale. Each dot represents a single cell; medians and 95% CI are shown. Data represent N = 3 biological replicates, each with more than 50 cells (n > 50). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. E. Dot plot representation of the elastic modulus E in kPa of Ctrl cells and SETDB1 KO cells treated with siCTR and siSUV39H. The dot plots of the non-Gaussian distributions are displayed on a logarithmic scale. Each dot represents a single cell; medians and 95% CI are shown. Data represent N = 3 biological replicates, each with more than 50 cells (n > 50). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. F. Circularity calculated with the Fiji program from confocal images taken during optical tweezers indentation experiments in Ctrl cells. Percentage of circular nuclei (circularity > 0.7) and non-circular nuclei (circularity<0.7) in Ctrl, SETDB1 KO, SETDB1 KD 0, 3d, 7d dox treated cells. G. Scatter plot showing correlation between nucleus rigidity and nucleus circularity in Ctrl and SETDB1 KO cells (left), and in the SETDB1 KD 0, 3d, 7d doxycycline-treated cells (right).

Journal: bioRxiv

Article Title: Epigenetic control of nuclear mechanics and cellular migration via histone H3 lysine 9 methylation at Lamina-Associated Domains

doi: 10.1101/2025.11.28.690983

Figure Lengend Snippet: A. Dot plot representation of the entry time Te (in seconds, s) of Ctrl and SETDB1 KO cells treated with siCTR and siSUV39H. The dot plots of the non-Gaussian distributions are displayed on a logarithmic scale. Each dot represents a single cell; medians and 95% CI are shown. Data represent N = 3 biological replicates, each with more than 100 cells (n > 100). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. B. Dot plot representation of the cellular projected diameter D (as a proxy of the cell size, in μm) in Ctrl and SETDB1 KO cells treated with siCTR and siSUV39H. Each dot represents a single cell; mean +/−SD is shown in red. Data represent N = 3 biological replicates, each with more than 100 cells (n > 100). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. C. Distributions of entry time Te (in seconds, s) for Ctrl (top) and SETDB1 KO (bottom) cells treated with siCTR and siSUV39H sorted by cell diameter D in three groups. Each dot represents a single cell; medians and 95% CI are shown. Data represent N = 3 biological replicates. Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. D. Dot plot representation of the short-time viscosity h 1 , in Pa.s, of Ctrl cells and SETDB1 KO cells treated with siCTR and siSUV39H. The dot plots of the non-Gaussian distributions are displayed on a logarithmic scale. Each dot represents a single cell; medians and 95% CI are shown. Data represent N = 3 biological replicates, each with more than 50 cells (n > 50). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. E. Dot plot representation of the elastic modulus E in kPa of Ctrl cells and SETDB1 KO cells treated with siCTR and siSUV39H. The dot plots of the non-Gaussian distributions are displayed on a logarithmic scale. Each dot represents a single cell; medians and 95% CI are shown. Data represent N = 3 biological replicates, each with more than 50 cells (n > 50). Statistical significance was determined using the Wilcoxon test; ns indicates p > 0,05, * indicates p < 0.05, ** indicates p < 0.01, *** indicates p < 0.001, **** indicates p < 0.0001. F. Circularity calculated with the Fiji program from confocal images taken during optical tweezers indentation experiments in Ctrl cells. Percentage of circular nuclei (circularity > 0.7) and non-circular nuclei (circularity<0.7) in Ctrl, SETDB1 KO, SETDB1 KD 0, 3d, 7d dox treated cells. G. Scatter plot showing correlation between nucleus rigidity and nucleus circularity in Ctrl and SETDB1 KO cells (left), and in the SETDB1 KD 0, 3d, 7d doxycycline-treated cells (right).

Article Snippet: Stable shSETDB1-A549 cell lines were established by transducing cells with in-house–produced lentiviral particles carrying the constructs listed in , cloned into pLKO-Tet-On vectors (modified from Addgene#83481). shRNA sequences targeting SETDB1 and a scrambled shRNA used as a negative control were designed using the siRNA Wizard tool ( https://www.invivogen.com/sirnawizard/ ). shRNA expression was induced with doxycycline (1 μg/mL).

Techniques: Viscosity

Figure 2. Identification of a ZNF304-corepressor complex required for transcriptional silencing of INK4-ARF in CRCs. (A) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a non-silencing (NS) or ZNF304 shRNA. The results were normalized to that obtained with the NS control, which was set to 1. (B) Immunoblot analysis monitoring INK4-ARF levels in DLD-1 cells expressing a NS or ZNF304 shRNA. α-tubulin (TUBA) was monitored as a loading control. (C) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a NS, KAP1, SETDB1, DNMT1, DNMT3A, or DNMT3B shRNA. (D) ChIP assay monitoring binding of ZNF304, KAP1, SETDB1 and DNMT1 to INK4-ARF promoters in DLD-1 cells expressing a NS or ZNF304 shRNA. The results were normalized to that obtained with IgG, which was set to 1. (E) Bisulfite sequencing analysis of the p14ARF promoter in DLD-1 cells expressing a NS, KAP1, SETDB1, or DNMT1 shRNA. (F) Tumor formation assay. DLD-1 cells expressing a NS and ZNF304 (left) or DNMT1 (right) shRNA were subcutaneously injected into the flanks of nude mice (n = 3), and tumor formation was measured. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Results from experiments showing validation of candidates from the RNAi screen, and ZNF304 corepressors, for a role in INK4-ARF transcriptional silencing in DLD-1 cells are presented in Figure 2—figure supplements 1 and 2. DOI: 10.7554/eLife.02313.004 The following figure supplements are available for figure 2:

Journal: eLife

Article Title: A KRAS-directed transcriptional silencing pathway that mediates the CpG island methylator phenotype

doi: 10.7554/elife.02313

Figure Lengend Snippet: Figure 2. Identification of a ZNF304-corepressor complex required for transcriptional silencing of INK4-ARF in CRCs. (A) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a non-silencing (NS) or ZNF304 shRNA. The results were normalized to that obtained with the NS control, which was set to 1. (B) Immunoblot analysis monitoring INK4-ARF levels in DLD-1 cells expressing a NS or ZNF304 shRNA. α-tubulin (TUBA) was monitored as a loading control. (C) qRT-PCR analysis monitoring INK4-ARF expression in DLD-1 cells expressing a NS, KAP1, SETDB1, DNMT1, DNMT3A, or DNMT3B shRNA. (D) ChIP assay monitoring binding of ZNF304, KAP1, SETDB1 and DNMT1 to INK4-ARF promoters in DLD-1 cells expressing a NS or ZNF304 shRNA. The results were normalized to that obtained with IgG, which was set to 1. (E) Bisulfite sequencing analysis of the p14ARF promoter in DLD-1 cells expressing a NS, KAP1, SETDB1, or DNMT1 shRNA. (F) Tumor formation assay. DLD-1 cells expressing a NS and ZNF304 (left) or DNMT1 (right) shRNA were subcutaneously injected into the flanks of nude mice (n = 3), and tumor formation was measured. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Results from experiments showing validation of candidates from the RNAi screen, and ZNF304 corepressors, for a role in INK4-ARF transcriptional silencing in DLD-1 cells are presented in Figure 2—figure supplements 1 and 2. DOI: 10.7554/eLife.02313.004 The following figure supplements are available for figure 2:

Article Snippet: ChIP assays were performed as previously described (Gazin et al., 2007) using the following antibodies: ZNF304 (described above), KAP1 (Bethyl Laboratories), SETDB1 (Millipore, Billerica, MA), DNMT1, DNMT3A, and DNMT3B (all from Imgenex, San Deigo, CA), cJUN (Millipore), H3K27me3 (Cell Signaling Technology), H3K9me3 (Millipore), H3K4me3 (Abcam), EZH2 (Millipore) and BMI1 (Abcam).

Techniques: Quantitative RT-PCR, Expressing, shRNA, Control, Western Blot, Binding Assay, Methylation Sequencing, Tube Formation Assay, Injection, Biomarker Discovery

Figure 3. Activated KRAS-mediated upregulation of ZNF304 is required for transcriptional silencing of INK4-ARF. (A) qRT-PCR analysis monitoring INK4A-ARF expression in DLD-1 cells expressing a NS or KRAS shRNA. (B) ChIP analysis monitoring binding of ZNF304, KAP1, SETDB1, and DNMT1 to INK4-ARF promoters in DLD-1 cells expressing a NS or KRAS shRNA. (C) qRT-PCR analysis monitoring INK4A-ARF expression in DLD-1 cells treated with DMSO or manumycin A (Man. A). The results were normalized to DMSO, which was set to 1. (D) ChIP analysis monitoring binding of ZNF304, KAP1, SETDB1, and DNMT1 to INK4-ARF promoters in DLD-1 cells treated with DMSO or Man. A. (E) Immunoblot analysis showing INK4-ARF levels in DLD-1 cells treated with a NS or KRAS shRNA, or DMSO or Man. A. (F) Immunoblot analysis showing INK4-ARF levels in DLD-1 cells treated with DMSO, LY294002, or PI-103. (G) qRT-PCR analysis monitoring ZNF304 expression in DLD-1 cells treated with a NS or KRAS shRNA, or DMSO or Man. A. (H) Immunoblot analysis showing ZNF304 levels in DLD-1 cells treated with Man. A for 24 hr and 0–10 µM MG-132 for 4 hr. (I) PAT-ChIP analysis monitoring binding of ZNF304 to INK4-ARF promoters in matched adjacent normal (N) and KRAS-positive CRC human tumor (T) samples. Results were normalized to normal samples, which were set to 1. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Results from experiments validating KRAS knockdown efficiency and the role of KRAS in repressing p14ARF expression, as well as experiments validating the role of ZNF304 and its corepressors in INK4-ARF silencing in other KRAS-positive CRC cell lines, are presented in Figure 3—figure supplements 1–4. DOI: 10.7554/eLife.02313.009 Figure 3. Continued on next page

Journal: eLife

Article Title: A KRAS-directed transcriptional silencing pathway that mediates the CpG island methylator phenotype

doi: 10.7554/elife.02313

Figure Lengend Snippet: Figure 3. Activated KRAS-mediated upregulation of ZNF304 is required for transcriptional silencing of INK4-ARF. (A) qRT-PCR analysis monitoring INK4A-ARF expression in DLD-1 cells expressing a NS or KRAS shRNA. (B) ChIP analysis monitoring binding of ZNF304, KAP1, SETDB1, and DNMT1 to INK4-ARF promoters in DLD-1 cells expressing a NS or KRAS shRNA. (C) qRT-PCR analysis monitoring INK4A-ARF expression in DLD-1 cells treated with DMSO or manumycin A (Man. A). The results were normalized to DMSO, which was set to 1. (D) ChIP analysis monitoring binding of ZNF304, KAP1, SETDB1, and DNMT1 to INK4-ARF promoters in DLD-1 cells treated with DMSO or Man. A. (E) Immunoblot analysis showing INK4-ARF levels in DLD-1 cells treated with a NS or KRAS shRNA, or DMSO or Man. A. (F) Immunoblot analysis showing INK4-ARF levels in DLD-1 cells treated with DMSO, LY294002, or PI-103. (G) qRT-PCR analysis monitoring ZNF304 expression in DLD-1 cells treated with a NS or KRAS shRNA, or DMSO or Man. A. (H) Immunoblot analysis showing ZNF304 levels in DLD-1 cells treated with Man. A for 24 hr and 0–10 µM MG-132 for 4 hr. (I) PAT-ChIP analysis monitoring binding of ZNF304 to INK4-ARF promoters in matched adjacent normal (N) and KRAS-positive CRC human tumor (T) samples. Results were normalized to normal samples, which were set to 1. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Results from experiments validating KRAS knockdown efficiency and the role of KRAS in repressing p14ARF expression, as well as experiments validating the role of ZNF304 and its corepressors in INK4-ARF silencing in other KRAS-positive CRC cell lines, are presented in Figure 3—figure supplements 1–4. DOI: 10.7554/eLife.02313.009 Figure 3. Continued on next page

Article Snippet: ChIP assays were performed as previously described (Gazin et al., 2007) using the following antibodies: ZNF304 (described above), KAP1 (Bethyl Laboratories), SETDB1 (Millipore, Billerica, MA), DNMT1, DNMT3A, and DNMT3B (all from Imgenex, San Deigo, CA), cJUN (Millipore), H3K27me3 (Cell Signaling Technology), H3K9me3 (Millipore), H3K4me3 (Abcam), EZH2 (Millipore) and BMI1 (Abcam).

Techniques: Quantitative RT-PCR, Expressing, shRNA, Binding Assay, Western Blot, Knockdown

Figure 6. The ZNF304 corepressor complex mediates CIMP in KRAS-positive CRCs. (A) qRT-PCR analysis monitoring expression of CIMP marker genes in DLD-1 cells expressing a ZNF304 or KRAS shRNA. The results were normalized to that obtained with the NS control, which was set to 1. (B) ChIP analysis monitoring binding of ZNF304, KAP1, SETDB1, and DNMT1 to CIMP promoters or an irrelevant DNA region (NC). (C) qRT-PCR analysis monitoring expression of CIMP marker genes in DLD-1 cells expressing a NS, KAP1, SETDB1, or DNMT1 shRNA. (D) PAT-ChIP analysis monitoring binding of ZNF304 to CIMP promoters in matched adjacent normal (N) and KRAS-positive CRC human tumor (T) samples. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. (E) Model for ZNF304-corepressor-mediated transcriptional silencing of INK4-ARF and CIMP marker genes in CRCs. Experiments validating the role of ZNF304 and corepressors in silencing of CIMP genes in KRAS-positive CRC cell lines, and experiments showing that the promoters of CIMP genes are hypermethylated in KRAS-positive CRC tumor samples, are presented in Figure 6—figure supplements 1–6. DOI: 10.7554/eLife.02313.022 The following figure supplements are available for figure 6:

Journal: eLife

Article Title: A KRAS-directed transcriptional silencing pathway that mediates the CpG island methylator phenotype

doi: 10.7554/elife.02313

Figure Lengend Snippet: Figure 6. The ZNF304 corepressor complex mediates CIMP in KRAS-positive CRCs. (A) qRT-PCR analysis monitoring expression of CIMP marker genes in DLD-1 cells expressing a ZNF304 or KRAS shRNA. The results were normalized to that obtained with the NS control, which was set to 1. (B) ChIP analysis monitoring binding of ZNF304, KAP1, SETDB1, and DNMT1 to CIMP promoters or an irrelevant DNA region (NC). (C) qRT-PCR analysis monitoring expression of CIMP marker genes in DLD-1 cells expressing a NS, KAP1, SETDB1, or DNMT1 shRNA. (D) PAT-ChIP analysis monitoring binding of ZNF304 to CIMP promoters in matched adjacent normal (N) and KRAS-positive CRC human tumor (T) samples. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. (E) Model for ZNF304-corepressor-mediated transcriptional silencing of INK4-ARF and CIMP marker genes in CRCs. Experiments validating the role of ZNF304 and corepressors in silencing of CIMP genes in KRAS-positive CRC cell lines, and experiments showing that the promoters of CIMP genes are hypermethylated in KRAS-positive CRC tumor samples, are presented in Figure 6—figure supplements 1–6. DOI: 10.7554/eLife.02313.022 The following figure supplements are available for figure 6:

Article Snippet: ChIP assays were performed as previously described (Gazin et al., 2007) using the following antibodies: ZNF304 (described above), KAP1 (Bethyl Laboratories), SETDB1 (Millipore, Billerica, MA), DNMT1, DNMT3A, and DNMT3B (all from Imgenex, San Deigo, CA), cJUN (Millipore), H3K27me3 (Cell Signaling Technology), H3K9me3 (Millipore), H3K4me3 (Abcam), EZH2 (Millipore) and BMI1 (Abcam).

Techniques: Quantitative RT-PCR, Expressing, Marker, shRNA, Control, Binding Assay

Figure 7. ZNF304 also directs transcriptional silencing of INK4-ARF in hESCs. (A) Immunoblot analysis showing ZNF304 levels in undifferentiated (DMSO) or retinoic acid (RA)-treated hESCs. (B and C) ChIP analysis monitoring binding of ZNF304, KAP1, SETDB1, and DNMT1 to INK4-ARF in undifferentiated or RA-treated hESCs (B) or in hESCs expressing a NS or ZNF304 shRNA (C). (D) qRT-PCR analysis monitoring INK4-ARF expression in hESCs expressing a NS, ZNF304, KAP1, SETDB1, or DNMT1 shRNA. (E) Bisulfite sequencing analysis of the p14ARF and p16INK4A promoters in H9 hESCs and DLD-1 cells. (F and G) ChIP analysis monitoring enrichment of H3K27me3, H3K9me3, and H3K4me3 (F) and EZH2 and BMI1 (G) at INK4-ARF or an irrelevant DNA region (NC) in H9 hESCs and DLD-1 cells. (H and I) ChIP analysis monitoring binding of EZH2 and BMI1 (H) and H3K27me3, H3K9me3 and H3K4me3 (I) at INK4-ARF in H9 hESCs and DLD-1 cells expressing a NS or ZNF304 shRNA. (J) qRT-PCR analysis monitoring INK4-ARF expression in H9 hESCs and DLD-1 cells expressing an NS, EZH2, or BMI1 shRNA. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Control experiments related to Figure 7 are shown in Figure 7—figure supplements 1,2. DOI: 10.7554/eLife.02313.029 The following figure supplements are available for figure 7:

Journal: eLife

Article Title: A KRAS-directed transcriptional silencing pathway that mediates the CpG island methylator phenotype

doi: 10.7554/elife.02313

Figure Lengend Snippet: Figure 7. ZNF304 also directs transcriptional silencing of INK4-ARF in hESCs. (A) Immunoblot analysis showing ZNF304 levels in undifferentiated (DMSO) or retinoic acid (RA)-treated hESCs. (B and C) ChIP analysis monitoring binding of ZNF304, KAP1, SETDB1, and DNMT1 to INK4-ARF in undifferentiated or RA-treated hESCs (B) or in hESCs expressing a NS or ZNF304 shRNA (C). (D) qRT-PCR analysis monitoring INK4-ARF expression in hESCs expressing a NS, ZNF304, KAP1, SETDB1, or DNMT1 shRNA. (E) Bisulfite sequencing analysis of the p14ARF and p16INK4A promoters in H9 hESCs and DLD-1 cells. (F and G) ChIP analysis monitoring enrichment of H3K27me3, H3K9me3, and H3K4me3 (F) and EZH2 and BMI1 (G) at INK4-ARF or an irrelevant DNA region (NC) in H9 hESCs and DLD-1 cells. (H and I) ChIP analysis monitoring binding of EZH2 and BMI1 (H) and H3K27me3, H3K9me3 and H3K4me3 (I) at INK4-ARF in H9 hESCs and DLD-1 cells expressing a NS or ZNF304 shRNA. (J) qRT-PCR analysis monitoring INK4-ARF expression in H9 hESCs and DLD-1 cells expressing an NS, EZH2, or BMI1 shRNA. Data are represented as mean ± SD. *p≤0.05, **p≤0.01. Control experiments related to Figure 7 are shown in Figure 7—figure supplements 1,2. DOI: 10.7554/eLife.02313.029 The following figure supplements are available for figure 7:

Article Snippet: ChIP assays were performed as previously described (Gazin et al., 2007) using the following antibodies: ZNF304 (described above), KAP1 (Bethyl Laboratories), SETDB1 (Millipore, Billerica, MA), DNMT1, DNMT3A, and DNMT3B (all from Imgenex, San Deigo, CA), cJUN (Millipore), H3K27me3 (Cell Signaling Technology), H3K9me3 (Millipore), H3K4me3 (Abcam), EZH2 (Millipore) and BMI1 (Abcam).

Techniques: Western Blot, Binding Assay, Expressing, shRNA, Quantitative RT-PCR, Methylation Sequencing, Control

List of antibodies used and their dilutions for different applications.

Journal: eLife

Article Title: IFI16, a nuclear innate immune DNA sensor, mediates epigenetic silencing of herpesvirus genomes by its association with H3K9 methyltransferases SUV39H1 and GLP

doi: 10.7554/eLife.49500

Figure Lengend Snippet: List of antibodies used and their dilutions for different applications.

Article Snippet: SETDB1 , Rabbit polyclonal , Novus Biologicals (#NBP2-20322) , WB: 1:500 IP: 1:30 ChIP: 1:30 IFA: 1:70 PLA: 1:50.

Techniques: