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Sino Biological human dnmt3a protein
Changes in DNA methylation after intervention with RRTFB ( n = 3). (A) ELISA detection of 5‐MC and <t>DNMT3a</t> levels in liver, epididymal adipose tissue, and testicular tissue. (B) Immunohistochemical analysis of DNMT3a in epididymal adipose tissue. The small image on the left is 100×, and the large image on the right is 400×. (C) Immunohistochemical average optical density value. (D) Methylation ratio by DNA methylation sequencing. (E) Methylation rate of chromosome. * * p < 0.01, * * * p < 0.001, * * * * p < 0.0001.
Human Dnmt3a Protein, supplied by Sino Biological, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc human dnmt3a catalytic domain
Early methylation editing efficiency of the dCas9-epimodifiers. a. Schematic of the design of the dCas9-epimodifiers. b. Genomic localization of BACH2 promoter targeted by the specific BACH2 -targeting gRNA 8 (g8). c. Experimental design where HEK293T cells were transfected with plasmids encoding gRNA-dCas9-epimodifier-EGFP (3A, 3A3L, 3A3A, 3A-KRAB, mut3A, M.SssI, SunTag) or CRISPRoff (co-transfected with a gRNA-encoding plasmid). Successfully transfected cells were sorted 3 days post transfection (p.t.) by GFP-based fluorescent activated cell sorting (FACS). d. DNA methylation of CpGs in BACH2 promoter 3 days p.t. with epimodifiers expressing either BACH2 -targeting gRNA8 (g8) or non-targeting control gRNA (NTC). Methylation levels in the control cells including cells expressing dCas9-deactivated <t>DNMT3A</t> (d3A) or non-transfected cells (NT) are depicted by the black and grey lines, respectively. e. Tukey plot, comparison Δβ (gRNA-NT) of the methylation changes induced by the g8 versus NTC across all tools. Boxplots summarize the distribution, with positive Δβ indicating increased methylation. f . Example of methylation changes at one of the predicted off-target loci ( PAX5 : Chr. 9 36,92,2430-36,92,3069, hg38), with methylation change induced by g8 or NTC compared to NT control (upper graph). The basal methylation level at each CpG is represented by the histogram plot (lower graph). Methylation data, assessed by targeted methylation sequencing, are available in Supplementary Table 3.
Human Dnmt3a Catalytic Domain, 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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Biotechnology Information human dnmt3a catalytic domain (cd)
Early methylation editing efficiency of the dCas9-epimodifiers. a. Schematic of the design of the dCas9-epimodifiers. b. Genomic localization of BACH2 promoter targeted by the specific BACH2 -targeting gRNA 8 (g8). c. Experimental design where HEK293T cells were transfected with plasmids encoding gRNA-dCas9-epimodifier-EGFP (3A, 3A3L, 3A3A, 3A-KRAB, mut3A, M.SssI, SunTag) or CRISPRoff (co-transfected with a gRNA-encoding plasmid). Successfully transfected cells were sorted 3 days post transfection (p.t.) by GFP-based fluorescent activated cell sorting (FACS). d. DNA methylation of CpGs in BACH2 promoter 3 days p.t. with epimodifiers expressing either BACH2 -targeting gRNA8 (g8) or non-targeting control gRNA (NTC). Methylation levels in the control cells including cells expressing dCas9-deactivated <t>DNMT3A</t> (d3A) or non-transfected cells (NT) are depicted by the black and grey lines, respectively. e. Tukey plot, comparison Δβ (gRNA-NT) of the methylation changes induced by the g8 versus NTC across all tools. Boxplots summarize the distribution, with positive Δβ indicating increased methylation. f . Example of methylation changes at one of the predicted off-target loci ( PAX5 : Chr. 9 36,92,2430-36,92,3069, hg38), with methylation change induced by g8 or NTC compared to NT control (upper graph). The basal methylation level at each CpG is represented by the histogram plot (lower graph). Methylation data, assessed by targeted methylation sequencing, are available in Supplementary Table 3.
Human Dnmt3a Catalytic Domain (Cd), supplied by Biotechnology Information, 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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95
Santa Cruz Biotechnology human dnmt3a
Early methylation editing efficiency of the dCas9-epimodifiers. a. Schematic of the design of the dCas9-epimodifiers. b. Genomic localization of BACH2 promoter targeted by the specific BACH2 -targeting gRNA 8 (g8). c. Experimental design where HEK293T cells were transfected with plasmids encoding gRNA-dCas9-epimodifier-EGFP (3A, 3A3L, 3A3A, 3A-KRAB, mut3A, M.SssI, SunTag) or CRISPRoff (co-transfected with a gRNA-encoding plasmid). Successfully transfected cells were sorted 3 days post transfection (p.t.) by GFP-based fluorescent activated cell sorting (FACS). d. DNA methylation of CpGs in BACH2 promoter 3 days p.t. with epimodifiers expressing either BACH2 -targeting gRNA8 (g8) or non-targeting control gRNA (NTC). Methylation levels in the control cells including cells expressing dCas9-deactivated <t>DNMT3A</t> (d3A) or non-transfected cells (NT) are depicted by the black and grey lines, respectively. e. Tukey plot, comparison Δβ (gRNA-NT) of the methylation changes induced by the g8 versus NTC across all tools. Boxplots summarize the distribution, with positive Δβ indicating increased methylation. f . Example of methylation changes at one of the predicted off-target loci ( PAX5 : Chr. 9 36,92,2430-36,92,3069, hg38), with methylation change induced by g8 or NTC compared to NT control (upper graph). The basal methylation level at each CpG is represented by the histogram plot (lower graph). Methylation data, assessed by targeted methylation sequencing, are available in Supplementary Table 3.
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OriGene dnmt3a overexpression plasmid
Effect of SYNCRIP on regulating the expression of <t>DNMT3A.</t> ( A – C ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA (SYN sh) for 72 h, the mRNA and protein level of DNMTs were detected by QRT-PCR ( A , B ) and Western blotting ( C ). * P ˂ 0.05, ** P ˂ 0.01. ( D – F ) SW480 and HCT116 cells were transfected with empty vector (EV) and SYNCRIP plasmid, the mRNA and protein level of DNMTs were detected by QRT-PCR ( D , E ) and Western blotting ( F ). * P ˂ 0.05, ** P ˂ 0.01. ( G ) Expression level of DNMT3A in tumor is higher than in normal tissue, shown by GEPIA database. ( H ) The correlation between SYNCRIP and DNMT3A in colorectal cancer.
Dnmt3a Overexpression Plasmid, 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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Addgene inc human dnmt3a
Effect of SYNCRIP on regulating the expression of <t>DNMT3A.</t> ( A – C ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA (SYN sh) for 72 h, the mRNA and protein level of DNMTs were detected by QRT-PCR ( A , B ) and Western blotting ( C ). * P ˂ 0.05, ** P ˂ 0.01. ( D – F ) SW480 and HCT116 cells were transfected with empty vector (EV) and SYNCRIP plasmid, the mRNA and protein level of DNMTs were detected by QRT-PCR ( D , E ) and Western blotting ( F ). * P ˂ 0.05, ** P ˂ 0.01. ( G ) Expression level of DNMT3A in tumor is higher than in normal tissue, shown by GEPIA database. ( H ) The correlation between SYNCRIP and DNMT3A in colorectal cancer.
Human Dnmt3a, supplied by Addgene inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Addgene inc human dnmt3a hdnmt3a
Effect of SYNCRIP on regulating the expression of <t>DNMT3A.</t> ( A – C ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA (SYN sh) for 72 h, the mRNA and protein level of DNMTs were detected by QRT-PCR ( A , B ) and Western blotting ( C ). * P ˂ 0.05, ** P ˂ 0.01. ( D – F ) SW480 and HCT116 cells were transfected with empty vector (EV) and SYNCRIP plasmid, the mRNA and protein level of DNMTs were detected by QRT-PCR ( D , E ) and Western blotting ( F ). * P ˂ 0.05, ** P ˂ 0.01. ( G ) Expression level of DNMT3A in tumor is higher than in normal tissue, shown by GEPIA database. ( H ) The correlation between SYNCRIP and DNMT3A in colorectal cancer.
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OriGene dnmt3a
Effect of SYNCRIP on regulating the expression of <t>DNMT3A.</t> ( A – C ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA (SYN sh) for 72 h, the mRNA and protein level of DNMTs were detected by QRT-PCR ( A , B ) and Western blotting ( C ). * P ˂ 0.05, ** P ˂ 0.01. ( D – F ) SW480 and HCT116 cells were transfected with empty vector (EV) and SYNCRIP plasmid, the mRNA and protein level of DNMTs were detected by QRT-PCR ( D , E ) and Western blotting ( F ). * P ˂ 0.05, ** P ˂ 0.01. ( G ) Expression level of DNMT3A in tumor is higher than in normal tissue, shown by GEPIA database. ( H ) The correlation between SYNCRIP and DNMT3A in colorectal cancer.
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Changes in DNA methylation after intervention with RRTFB ( n = 3). (A) ELISA detection of 5‐MC and DNMT3a levels in liver, epididymal adipose tissue, and testicular tissue. (B) Immunohistochemical analysis of DNMT3a in epididymal adipose tissue. The small image on the left is 100×, and the large image on the right is 400×. (C) Immunohistochemical average optical density value. (D) Methylation ratio by DNA methylation sequencing. (E) Methylation rate of chromosome. * * p < 0.01, * * * p < 0.001, * * * * p < 0.0001.

Journal: Food Science & Nutrition

Article Title: Flavonoids in Rosa roxburghii Tratt Fermentation Broth Ameliorate Obesity via DNMT3a / SIRT1 ‐Mediated Epigenetic Modulation

doi: 10.1002/fsn3.70892

Figure Lengend Snippet: Changes in DNA methylation after intervention with RRTFB ( n = 3). (A) ELISA detection of 5‐MC and DNMT3a levels in liver, epididymal adipose tissue, and testicular tissue. (B) Immunohistochemical analysis of DNMT3a in epididymal adipose tissue. The small image on the left is 100×, and the large image on the right is 400×. (C) Immunohistochemical average optical density value. (D) Methylation ratio by DNA methylation sequencing. (E) Methylation rate of chromosome. * * p < 0.01, * * * p < 0.001, * * * * p < 0.0001.

Article Snippet: All solutions were subjected to filtration through a 0.22 μm Millipore filter. pH 4.0 recombinant human DNMT3A protein (Full Length, GST Tag) (D353‐380G; Sino Biological, Sweden) was immobilized on the sensor chip surface through amine groups, and fisetin (HY‐N0182; MCE, USA) was injected for 1:1 binding, and the affinity between fisetin and DNMT3A was tested.

Techniques: DNA Methylation Assay, Enzyme-linked Immunosorbent Assay, Immunohistochemical staining, Methylation, Sequencing

Molecular mechanisms of SIRT1 regulation in epididymal adipose tissue. (A) Immunofluorescence co‐localization of SIRT1 (green) and PPARγ (red) with nuclear DAPI staining (blue) (400×). (B) WB analysis of PPARγ, NF‐κB, and HIF1a protein expression. (C) mRNA expression levels of PPARγ, NF‐κB, and HIF1a in epididymal adipose tissue. (D) Validation of DNMT3a overexpression and its effect on SIRT1 protein levels in 3T3‐L1 adipocytes. (E) ChIP analysis of DNMT3a binding to the SIRT1 promoter region. p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.

Journal: Food Science & Nutrition

Article Title: Flavonoids in Rosa roxburghii Tratt Fermentation Broth Ameliorate Obesity via DNMT3a / SIRT1 ‐Mediated Epigenetic Modulation

doi: 10.1002/fsn3.70892

Figure Lengend Snippet: Molecular mechanisms of SIRT1 regulation in epididymal adipose tissue. (A) Immunofluorescence co‐localization of SIRT1 (green) and PPARγ (red) with nuclear DAPI staining (blue) (400×). (B) WB analysis of PPARγ, NF‐κB, and HIF1a protein expression. (C) mRNA expression levels of PPARγ, NF‐κB, and HIF1a in epididymal adipose tissue. (D) Validation of DNMT3a overexpression and its effect on SIRT1 protein levels in 3T3‐L1 adipocytes. (E) ChIP analysis of DNMT3a binding to the SIRT1 promoter region. p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001.

Article Snippet: All solutions were subjected to filtration through a 0.22 μm Millipore filter. pH 4.0 recombinant human DNMT3A protein (Full Length, GST Tag) (D353‐380G; Sino Biological, Sweden) was immobilized on the sensor chip surface through amine groups, and fisetin (HY‐N0182; MCE, USA) was injected for 1:1 binding, and the affinity between fisetin and DNMT3A was tested.

Techniques: Immunofluorescence, Staining, Expressing, Biomarker Discovery, Over Expression, Binding Assay

Phytochemical characterization of RRTFB and molecular docking analysis with DNMT3a. (A) Chemical classification of metabolites identified in RRTFB. (B) Subclass of prenol lipids. (C) Subclass of fatty acyls. (D) Subclass of flavonoids. (E) Relative abundance of major flavonoid components ( x ‐axis: Compounds; y ‐axis: Normalized peak area). (F) Molecular docking models showing interactions between DNMT3a (cyan) and flavonoids (purple): (−)‐epicatechin, fisetin, morin and DNMT3a. The numerical value in the right figure represents hydrogen bonding strength, yellow represents the binding site, and the amino acids are marked in the small figure above. (G) SPR analysis of fisetin‐DNMT3a binding kinetics ( K d = 14.6 μM).

Journal: Food Science & Nutrition

Article Title: Flavonoids in Rosa roxburghii Tratt Fermentation Broth Ameliorate Obesity via DNMT3a / SIRT1 ‐Mediated Epigenetic Modulation

doi: 10.1002/fsn3.70892

Figure Lengend Snippet: Phytochemical characterization of RRTFB and molecular docking analysis with DNMT3a. (A) Chemical classification of metabolites identified in RRTFB. (B) Subclass of prenol lipids. (C) Subclass of fatty acyls. (D) Subclass of flavonoids. (E) Relative abundance of major flavonoid components ( x ‐axis: Compounds; y ‐axis: Normalized peak area). (F) Molecular docking models showing interactions between DNMT3a (cyan) and flavonoids (purple): (−)‐epicatechin, fisetin, morin and DNMT3a. The numerical value in the right figure represents hydrogen bonding strength, yellow represents the binding site, and the amino acids are marked in the small figure above. (G) SPR analysis of fisetin‐DNMT3a binding kinetics ( K d = 14.6 μM).

Article Snippet: All solutions were subjected to filtration through a 0.22 μm Millipore filter. pH 4.0 recombinant human DNMT3A protein (Full Length, GST Tag) (D353‐380G; Sino Biological, Sweden) was immobilized on the sensor chip surface through amine groups, and fisetin (HY‐N0182; MCE, USA) was injected for 1:1 binding, and the affinity between fisetin and DNMT3A was tested.

Techniques: Binding Assay

Early methylation editing efficiency of the dCas9-epimodifiers. a. Schematic of the design of the dCas9-epimodifiers. b. Genomic localization of BACH2 promoter targeted by the specific BACH2 -targeting gRNA 8 (g8). c. Experimental design where HEK293T cells were transfected with plasmids encoding gRNA-dCas9-epimodifier-EGFP (3A, 3A3L, 3A3A, 3A-KRAB, mut3A, M.SssI, SunTag) or CRISPRoff (co-transfected with a gRNA-encoding plasmid). Successfully transfected cells were sorted 3 days post transfection (p.t.) by GFP-based fluorescent activated cell sorting (FACS). d. DNA methylation of CpGs in BACH2 promoter 3 days p.t. with epimodifiers expressing either BACH2 -targeting gRNA8 (g8) or non-targeting control gRNA (NTC). Methylation levels in the control cells including cells expressing dCas9-deactivated DNMT3A (d3A) or non-transfected cells (NT) are depicted by the black and grey lines, respectively. e. Tukey plot, comparison Δβ (gRNA-NT) of the methylation changes induced by the g8 versus NTC across all tools. Boxplots summarize the distribution, with positive Δβ indicating increased methylation. f . Example of methylation changes at one of the predicted off-target loci ( PAX5 : Chr. 9 36,92,2430-36,92,3069, hg38), with methylation change induced by g8 or NTC compared to NT control (upper graph). The basal methylation level at each CpG is represented by the histogram plot (lower graph). Methylation data, assessed by targeted methylation sequencing, are available in Supplementary Table 3.

Journal: bioRxiv

Article Title: Systematic comparison of dCas9-based DNA methylation epimodifiers over time indicates efficient on-target and widespread off-target effects

doi: 10.1101/2025.03.15.641804

Figure Lengend Snippet: Early methylation editing efficiency of the dCas9-epimodifiers. a. Schematic of the design of the dCas9-epimodifiers. b. Genomic localization of BACH2 promoter targeted by the specific BACH2 -targeting gRNA 8 (g8). c. Experimental design where HEK293T cells were transfected with plasmids encoding gRNA-dCas9-epimodifier-EGFP (3A, 3A3L, 3A3A, 3A-KRAB, mut3A, M.SssI, SunTag) or CRISPRoff (co-transfected with a gRNA-encoding plasmid). Successfully transfected cells were sorted 3 days post transfection (p.t.) by GFP-based fluorescent activated cell sorting (FACS). d. DNA methylation of CpGs in BACH2 promoter 3 days p.t. with epimodifiers expressing either BACH2 -targeting gRNA8 (g8) or non-targeting control gRNA (NTC). Methylation levels in the control cells including cells expressing dCas9-deactivated DNMT3A (d3A) or non-transfected cells (NT) are depicted by the black and grey lines, respectively. e. Tukey plot, comparison Δβ (gRNA-NT) of the methylation changes induced by the g8 versus NTC across all tools. Boxplots summarize the distribution, with positive Δβ indicating increased methylation. f . Example of methylation changes at one of the predicted off-target loci ( PAX5 : Chr. 9 36,92,2430-36,92,3069, hg38), with methylation change induced by g8 or NTC compared to NT control (upper graph). The basal methylation level at each CpG is represented by the histogram plot (lower graph). Methylation data, assessed by targeted methylation sequencing, are available in Supplementary Table 3.

Article Snippet: M3-dCAS9-DNMT3A-DNMT3A (dCas9-3A-3A, Addgene #218776) plasmid made by the amplification of the human DNMT3A catalytic domain from the pdCas9-DNMT3A-EGFP (Addgene #71666) plasmid using the primers containing the FseI restriction sites.

Techniques: Methylation, Transfection, Plasmid Preparation, FACS, DNA Methylation Assay, Expressing, Control, Comparison, Sequencing

Factors influencing on-target methylation editing. a. Schematic of the designed. b. Experimental design where HEK293T cells were transfected with dCas9-DNMT3A-EGFP plasmids encoding BACH2 -targeting gRNA8 ( BACH2 -dCas9-3A), non-targeting control gRNA (non-targeting-dCas9-3A), gRNA scaffold (scaffold-dCas9-3A) or no gRNA scaffold (empty-dCas9-3A). Successfully transfected cells were sorted 3 days post-transfection (p.t.) based on different GFP-intensity using fluorescent activated cell sorting (FACS). c. Impact of expression levels of dCas9-DNMT3A, based on sorting cells with varying levels of GFP intensity, in combination with strong (pCAG), moderate (EF1a), or weak (UBC) promoters, on methylation deposition induced by BACH2 gRNA, NTC gRNA, gRNA scaffold or no gRNA scaffold. d. The expression levels of dCas9-DNMT3A under promoters with varying strengths assessed across samples with different GFP mean fluorescent intensities. e. Methylation deposition by dCas9-epimodifier comprising the catalytic domain of DNMT3A harboring the R882H mutation (dCas9-mut3A). f. Methylation deposition following transfection with BACH2 -targeting gRNA8 ( BACH2 -dCas9-3A), non-targeting control gRNA (non-targeting-dCas9-3A) and gRNA scaffold (scaffold-dCas9-3A) 24, 48 and 72 hours (h) p.t..

Journal: bioRxiv

Article Title: Systematic comparison of dCas9-based DNA methylation epimodifiers over time indicates efficient on-target and widespread off-target effects

doi: 10.1101/2025.03.15.641804

Figure Lengend Snippet: Factors influencing on-target methylation editing. a. Schematic of the designed. b. Experimental design where HEK293T cells were transfected with dCas9-DNMT3A-EGFP plasmids encoding BACH2 -targeting gRNA8 ( BACH2 -dCas9-3A), non-targeting control gRNA (non-targeting-dCas9-3A), gRNA scaffold (scaffold-dCas9-3A) or no gRNA scaffold (empty-dCas9-3A). Successfully transfected cells were sorted 3 days post-transfection (p.t.) based on different GFP-intensity using fluorescent activated cell sorting (FACS). c. Impact of expression levels of dCas9-DNMT3A, based on sorting cells with varying levels of GFP intensity, in combination with strong (pCAG), moderate (EF1a), or weak (UBC) promoters, on methylation deposition induced by BACH2 gRNA, NTC gRNA, gRNA scaffold or no gRNA scaffold. d. The expression levels of dCas9-DNMT3A under promoters with varying strengths assessed across samples with different GFP mean fluorescent intensities. e. Methylation deposition by dCas9-epimodifier comprising the catalytic domain of DNMT3A harboring the R882H mutation (dCas9-mut3A). f. Methylation deposition following transfection with BACH2 -targeting gRNA8 ( BACH2 -dCas9-3A), non-targeting control gRNA (non-targeting-dCas9-3A) and gRNA scaffold (scaffold-dCas9-3A) 24, 48 and 72 hours (h) p.t..

Article Snippet: M3-dCAS9-DNMT3A-DNMT3A (dCas9-3A-3A, Addgene #218776) plasmid made by the amplification of the human DNMT3A catalytic domain from the pdCas9-DNMT3A-EGFP (Addgene #71666) plasmid using the primers containing the FseI restriction sites.

Techniques: Methylation, Transfection, Control, FACS, Expressing, Mutagenesis

Early transcriptomic changes induced by the dCas9-epimodifiers. a . Hierarchical clustering and principal component analysis of RNA-sequencing data 3 days post-transfection with the dCas9-epimodifiers (3A, 3A3L, 3A3A, 3A-KRAB, mut3A, M.SssI, SunTag) or CRISPRoff (co-transfected with a gRNA-encoding plasmid). b . Correlation between transcriptional changes driven by BACH2 -targeting (g8) and non-targeting control (NTC) gRNAs in comparison to the control deactivated DNMT3A (d3A) with the blue and pink colors reflecting downregulated and upregulated transcripts, respectively, between g8 and NTC. c . Total number of differentially expressed genes (DEGs, upper graph) and proportion in percentage (middle graph) of upregulated (pink color) and downregulated (blue color) DEGs between each dCas9-epimodifier and control d3A with |log 2 FC| > 1. The number of DEGs shared with at least one other epimodifier is detailed in the lower pairwise sharedness plot (the darker the color the highest number of genes being shared). d . Clustering of gene ontology terms, using GeneSetCluster tool, derived from the transcriptome of each epimodifier expressing either g8 or NTC compared to the control d3A, the Jaccard score depicted in grey gradient represents the degree of gene sharedness between sets (the darker the colors, the higher the number of genes being shared). The normalized enrichment scores (NES) illustrating upregulation and downregulation are indicated in orange and green colors, respectively for each cluster. e . STRING network of the core interconnected genes shared between epimodifiers identified using Density-Based Spatial Clustering of Applications with Noise algorithm. Pie charts summarize the dCas9-epimodifiers involved in the gene overlap for each sub-network, distinguishing the fraction shared between CRISPRoff and dCas9-mut3A from other shared genes. f . BACH2 promoter differential methylation region (DMR, mean of CpGs β values) and gene expression (in counts per million, CPM, upper graph) and correlation between differences at BACH2 promoter methylation (Δβ g8-NTC ) and gene expression (log 2 g8/NTC) between g8 and NTC gRNAs (lower graph).

Journal: bioRxiv

Article Title: Systematic comparison of dCas9-based DNA methylation epimodifiers over time indicates efficient on-target and widespread off-target effects

doi: 10.1101/2025.03.15.641804

Figure Lengend Snippet: Early transcriptomic changes induced by the dCas9-epimodifiers. a . Hierarchical clustering and principal component analysis of RNA-sequencing data 3 days post-transfection with the dCas9-epimodifiers (3A, 3A3L, 3A3A, 3A-KRAB, mut3A, M.SssI, SunTag) or CRISPRoff (co-transfected with a gRNA-encoding plasmid). b . Correlation between transcriptional changes driven by BACH2 -targeting (g8) and non-targeting control (NTC) gRNAs in comparison to the control deactivated DNMT3A (d3A) with the blue and pink colors reflecting downregulated and upregulated transcripts, respectively, between g8 and NTC. c . Total number of differentially expressed genes (DEGs, upper graph) and proportion in percentage (middle graph) of upregulated (pink color) and downregulated (blue color) DEGs between each dCas9-epimodifier and control d3A with |log 2 FC| > 1. The number of DEGs shared with at least one other epimodifier is detailed in the lower pairwise sharedness plot (the darker the color the highest number of genes being shared). d . Clustering of gene ontology terms, using GeneSetCluster tool, derived from the transcriptome of each epimodifier expressing either g8 or NTC compared to the control d3A, the Jaccard score depicted in grey gradient represents the degree of gene sharedness between sets (the darker the colors, the higher the number of genes being shared). The normalized enrichment scores (NES) illustrating upregulation and downregulation are indicated in orange and green colors, respectively for each cluster. e . STRING network of the core interconnected genes shared between epimodifiers identified using Density-Based Spatial Clustering of Applications with Noise algorithm. Pie charts summarize the dCas9-epimodifiers involved in the gene overlap for each sub-network, distinguishing the fraction shared between CRISPRoff and dCas9-mut3A from other shared genes. f . BACH2 promoter differential methylation region (DMR, mean of CpGs β values) and gene expression (in counts per million, CPM, upper graph) and correlation between differences at BACH2 promoter methylation (Δβ g8-NTC ) and gene expression (log 2 g8/NTC) between g8 and NTC gRNAs (lower graph).

Article Snippet: M3-dCAS9-DNMT3A-DNMT3A (dCas9-3A-3A, Addgene #218776) plasmid made by the amplification of the human DNMT3A catalytic domain from the pdCas9-DNMT3A-EGFP (Addgene #71666) plasmid using the primers containing the FseI restriction sites.

Techniques: RNA Sequencing, Transfection, Plasmid Preparation, Control, Comparison, Derivative Assay, Expressing, Methylation, Gene Expression

Stability of the on-target methylation editing over time. a. Experimental design where HEK293T cells were transfected with plasmids encoding gRNA-dCas9-epimodifier-EGFP (3A, 3A3L, 3A3A, 3A-KRAB, mut3A, M.SssI, SunTag) or CRISPRoff (co-transfected with a gRNA-encoding plasmid). Successfully transfected cells were sorted based on GFP or BFP signal 3 days post-transfection (p.t.) using fluorescent activated cell sorting (FACS), GFP/BFP positive cells were cultured and harvested at different time points for methylation and expression analyses. b. Methylation of CpGs at BACH2 promoter 3 (D3), 7 (D7), 14 (D14), 21 (D21) and 30 (D30) days p.t. with the epimodifiers expressing either BACH2 -targeting gRNA8 (g8) or non-targeting gRNA control (NTC). Yellow arrow indicated position of BACH2 -targeting gRNA (g8). Methylation levels in the control conditions including cells expressing dCas9-deactivated DNMT3A (d3A) or non-transfected cells (NT) are depicted by the black and grey lines, respectively. Comparison of g8-driven methylation levels for all constructs per time point is illustrated by different turquoise blue colors. The net effect of g8 in comparison to NTC is represented on the right panel with the methylation differences of the differentially methylated CpGs (circles) centered on median (line), 25th and 75th percentile bounds (darker color) and minimum and maximum extending to the lowest / highest values (light color). Methylation data, assessed by targeted methylation sequencing, are available in Supplementary Tables 3 & 4.

Journal: bioRxiv

Article Title: Systematic comparison of dCas9-based DNA methylation epimodifiers over time indicates efficient on-target and widespread off-target effects

doi: 10.1101/2025.03.15.641804

Figure Lengend Snippet: Stability of the on-target methylation editing over time. a. Experimental design where HEK293T cells were transfected with plasmids encoding gRNA-dCas9-epimodifier-EGFP (3A, 3A3L, 3A3A, 3A-KRAB, mut3A, M.SssI, SunTag) or CRISPRoff (co-transfected with a gRNA-encoding plasmid). Successfully transfected cells were sorted based on GFP or BFP signal 3 days post-transfection (p.t.) using fluorescent activated cell sorting (FACS), GFP/BFP positive cells were cultured and harvested at different time points for methylation and expression analyses. b. Methylation of CpGs at BACH2 promoter 3 (D3), 7 (D7), 14 (D14), 21 (D21) and 30 (D30) days p.t. with the epimodifiers expressing either BACH2 -targeting gRNA8 (g8) or non-targeting gRNA control (NTC). Yellow arrow indicated position of BACH2 -targeting gRNA (g8). Methylation levels in the control conditions including cells expressing dCas9-deactivated DNMT3A (d3A) or non-transfected cells (NT) are depicted by the black and grey lines, respectively. Comparison of g8-driven methylation levels for all constructs per time point is illustrated by different turquoise blue colors. The net effect of g8 in comparison to NTC is represented on the right panel with the methylation differences of the differentially methylated CpGs (circles) centered on median (line), 25th and 75th percentile bounds (darker color) and minimum and maximum extending to the lowest / highest values (light color). Methylation data, assessed by targeted methylation sequencing, are available in Supplementary Tables 3 & 4.

Article Snippet: M3-dCAS9-DNMT3A-DNMT3A (dCas9-3A-3A, Addgene #218776) plasmid made by the amplification of the human DNMT3A catalytic domain from the pdCas9-DNMT3A-EGFP (Addgene #71666) plasmid using the primers containing the FseI restriction sites.

Techniques: Methylation, Transfection, Plasmid Preparation, FACS, Cell Culture, Expressing, Control, Comparison, Construct, Sequencing

Genome-wide methylation induced by the four most potent dCas9-epimodifiers over time. a. Violin plot showing methylation level distributions across sample groups for day 3 (D3), 7 (D7) and 30 (D30) post transfection (p.t.). Overlayed boxplots indicate the interquartile range, and open circles mark the median values. Density plot is visualizing the overall distribution of methylation levels across all samples. b. Correlation between methylation changes at differentially methylated regions (DMRs) driven by BACH2 -targeting gRNA8 (g8) or non-targeting control gRNA (NTC) in comparison to the control deactivated DNMT3A (d3A) at each time point, with the blue and purple colors reflecting hypomethylated and hypermethylated loci, respectively, between g8 and NTC. c . Effect size (violin plot) and total number (horizontal bar plot) of the DMRs induced by each dCas9-epimodifier at each time point. The fraction (%) of the DMRs that overlap between two conditions is depicted by the pairwise sharedness plot (the darker the yellow color the higher percentage of genes being shared). d . Fraction of DMRs stably altered between time points (gradient of grey colors) or specifically found only at day 3, 7 or 30 p.t. (white color). e. Top ‘Biological Processes’ gene ontology terms obtained using overrepresentation analysis of the DMR-genes that are shared between dCas9-epimodifiers. The circle size and color reflect the FDR significance and number of genes, respectively. f. Distribution of the DMRs according to chromatin state segmentation by hidden Markov model (ChromHMM) in HEK293T cells obtained from International Human Epigenome Consortium. The methylation data, assessed by EPIC array, is available in Supplementary Table 8. The statistics accompanying ChromHMM enrichment are available in Supplementary Table 9. TSS, transcription start site, Heterochrom, heterochromatin. g. Weblogo representation of sequence preferences for CRISPRoff gRNA8, showing GC enrichment, particularly in GCGC motifs. ANOVA – Tukey–Kramer’s test (sig P-value p < 0.05).

Journal: bioRxiv

Article Title: Systematic comparison of dCas9-based DNA methylation epimodifiers over time indicates efficient on-target and widespread off-target effects

doi: 10.1101/2025.03.15.641804

Figure Lengend Snippet: Genome-wide methylation induced by the four most potent dCas9-epimodifiers over time. a. Violin plot showing methylation level distributions across sample groups for day 3 (D3), 7 (D7) and 30 (D30) post transfection (p.t.). Overlayed boxplots indicate the interquartile range, and open circles mark the median values. Density plot is visualizing the overall distribution of methylation levels across all samples. b. Correlation between methylation changes at differentially methylated regions (DMRs) driven by BACH2 -targeting gRNA8 (g8) or non-targeting control gRNA (NTC) in comparison to the control deactivated DNMT3A (d3A) at each time point, with the blue and purple colors reflecting hypomethylated and hypermethylated loci, respectively, between g8 and NTC. c . Effect size (violin plot) and total number (horizontal bar plot) of the DMRs induced by each dCas9-epimodifier at each time point. The fraction (%) of the DMRs that overlap between two conditions is depicted by the pairwise sharedness plot (the darker the yellow color the higher percentage of genes being shared). d . Fraction of DMRs stably altered between time points (gradient of grey colors) or specifically found only at day 3, 7 or 30 p.t. (white color). e. Top ‘Biological Processes’ gene ontology terms obtained using overrepresentation analysis of the DMR-genes that are shared between dCas9-epimodifiers. The circle size and color reflect the FDR significance and number of genes, respectively. f. Distribution of the DMRs according to chromatin state segmentation by hidden Markov model (ChromHMM) in HEK293T cells obtained from International Human Epigenome Consortium. The methylation data, assessed by EPIC array, is available in Supplementary Table 8. The statistics accompanying ChromHMM enrichment are available in Supplementary Table 9. TSS, transcription start site, Heterochrom, heterochromatin. g. Weblogo representation of sequence preferences for CRISPRoff gRNA8, showing GC enrichment, particularly in GCGC motifs. ANOVA – Tukey–Kramer’s test (sig P-value p < 0.05).

Article Snippet: M3-dCAS9-DNMT3A-DNMT3A (dCas9-3A-3A, Addgene #218776) plasmid made by the amplification of the human DNMT3A catalytic domain from the pdCas9-DNMT3A-EGFP (Addgene #71666) plasmid using the primers containing the FseI restriction sites.

Techniques: Genome Wide, Methylation, Transfection, Control, Comparison, Stable Transfection, Sequencing

Effect of SYNCRIP on regulating the expression of DNMT3A. ( A – C ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA (SYN sh) for 72 h, the mRNA and protein level of DNMTs were detected by QRT-PCR ( A , B ) and Western blotting ( C ). * P ˂ 0.05, ** P ˂ 0.01. ( D – F ) SW480 and HCT116 cells were transfected with empty vector (EV) and SYNCRIP plasmid, the mRNA and protein level of DNMTs were detected by QRT-PCR ( D , E ) and Western blotting ( F ). * P ˂ 0.05, ** P ˂ 0.01. ( G ) Expression level of DNMT3A in tumor is higher than in normal tissue, shown by GEPIA database. ( H ) The correlation between SYNCRIP and DNMT3A in colorectal cancer.

Journal: Scientific Reports

Article Title: The up-regulation of SYNCRIP promotes the proliferation and tumorigenesis via DNMT3A/p16 in colorectal cancer

doi: 10.1038/s41598-024-59575-6

Figure Lengend Snippet: Effect of SYNCRIP on regulating the expression of DNMT3A. ( A – C ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA (SYN sh) for 72 h, the mRNA and protein level of DNMTs were detected by QRT-PCR ( A , B ) and Western blotting ( C ). * P ˂ 0.05, ** P ˂ 0.01. ( D – F ) SW480 and HCT116 cells were transfected with empty vector (EV) and SYNCRIP plasmid, the mRNA and protein level of DNMTs were detected by QRT-PCR ( D , E ) and Western blotting ( F ). * P ˂ 0.05, ** P ˂ 0.01. ( G ) Expression level of DNMT3A in tumor is higher than in normal tissue, shown by GEPIA database. ( H ) The correlation between SYNCRIP and DNMT3A in colorectal cancer.

Article Snippet: DNMT3A overexpression plasmid was purchased from Origene (#RC208192, MD USA).

Techniques: Expressing, Infection, shRNA, Quantitative RT-PCR, Western Blot, Transfection, Plasmid Preparation

SYNCRIP regulated colorectal cancer cell growth and migration via DNMT3A. ( A ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA followed with or without DNMT3A plasmid, the protein level of DNMT3A was detected by Western blotting. ( B , C ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA followed with or without DNMT3A plasmid, the proliferation and survival of SW480 and HCT116 cells were measured using CCK-8 assay ( B ) and trypan blue stain ( C ). ** P ˂ 0.01. ( D , E ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA followed with or without DNMT3A plasmid, the motility of SW480 and HCT116 cells were analyzed using migration assay ( D ) and wound healing assay ( E ).

Journal: Scientific Reports

Article Title: The up-regulation of SYNCRIP promotes the proliferation and tumorigenesis via DNMT3A/p16 in colorectal cancer

doi: 10.1038/s41598-024-59575-6

Figure Lengend Snippet: SYNCRIP regulated colorectal cancer cell growth and migration via DNMT3A. ( A ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA followed with or without DNMT3A plasmid, the protein level of DNMT3A was detected by Western blotting. ( B , C ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA followed with or without DNMT3A plasmid, the proliferation and survival of SW480 and HCT116 cells were measured using CCK-8 assay ( B ) and trypan blue stain ( C ). ** P ˂ 0.01. ( D , E ) SW480 and HCT116 cells were infected with scr or SYNCRIP shRNA followed with or without DNMT3A plasmid, the motility of SW480 and HCT116 cells were analyzed using migration assay ( D ) and wound healing assay ( E ).

Article Snippet: DNMT3A overexpression plasmid was purchased from Origene (#RC208192, MD USA).

Techniques: Migration, Infection, shRNA, Plasmid Preparation, Western Blot, CCK-8 Assay, Staining, Wound Healing Assay

SYNCRIP regulated the expression of p16 via DNMT3A. ( A , B ) SW480 and HCT116 cells were infected with scr or DNMT3A shRNA for 72 h, the protein and mRNA level of p16 were detected by Western blotting ( A ) and QRT-PCR ( B ). ** P ˂ 0.01. ( C , D ) SW480 and HCT116 cells were infected with scr or SYNCRIP (shRNA) shRNA followed with or without DNMT3A plasmid, the protein and mRNA level of p16 were detected by Western blotting (C) and QRT-PCR ( D ). ** P ˂ 0.01. ( E ) The correlation between SYNCRIP and p16 in colorectal cancer.

Journal: Scientific Reports

Article Title: The up-regulation of SYNCRIP promotes the proliferation and tumorigenesis via DNMT3A/p16 in colorectal cancer

doi: 10.1038/s41598-024-59575-6

Figure Lengend Snippet: SYNCRIP regulated the expression of p16 via DNMT3A. ( A , B ) SW480 and HCT116 cells were infected with scr or DNMT3A shRNA for 72 h, the protein and mRNA level of p16 were detected by Western blotting ( A ) and QRT-PCR ( B ). ** P ˂ 0.01. ( C , D ) SW480 and HCT116 cells were infected with scr or SYNCRIP (shRNA) shRNA followed with or without DNMT3A plasmid, the protein and mRNA level of p16 were detected by Western blotting (C) and QRT-PCR ( D ). ** P ˂ 0.01. ( E ) The correlation between SYNCRIP and p16 in colorectal cancer.

Article Snippet: DNMT3A overexpression plasmid was purchased from Origene (#RC208192, MD USA).

Techniques: Expressing, Infection, shRNA, Western Blot, Quantitative RT-PCR, Plasmid Preparation