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ATCC
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Image Search Results
Journal: Cell reports
Article Title: Uncovering genetic interactions in the DNA repair network in response to endogenous damage and ionizing radiation
doi: 10.1016/j.celrep.2025.116850
Figure Lengend Snippet: (A) Distribution of the observed phenotypes depleted in the basal screen results, indicating where the MRE11A-UBR5 gene pair falls relative to other depleted interactions. (B) Ranked observed phenotypes from the basal screen for both UBR5 and MRE11A . Blue/red regions highlight significantly enriched/depleted UBR5 -gene and MRE11A -gene interactions, respectively. Blue and red regions highlight gene combinations that are enriched above (blue) or depleted below (red) one standard deviation (+0.6981 and −0.7791) of the mean of all basal interactions and possess a Fisher-combined p < 0.05. (C) Time-lapse images of growth from Dox-induced dual-guide vectors with NT-1 x UBR5 -g2 or NT-1 x NT-2 in nuclear-EGFP-expressing cells co-cultured with nuclear-RFP-expressing cells grown in DMSO or 6.25 μM mirin (+mirin). Images are from one well per condition over the first 72 h of growth. Scale bar: 100 μM. (D) Measurements are calculated as the log 2 fold change (log 2 FC) of Dox induced over uninduced growth for the labeled condition, relative to the growth of co-cultured RFP+ cells, as seen in (C). Data represent mean ± SEM of 3 biological repliactes. The gray bar indicates the 72 h of growth shown in (C), though imaging continued. (E) Comparative growth differences at 96 h of two separate, inducible UBR5 guides from experiments performed similarly to those shown in (C) and (D). Bars are only shown for Dox-treated conditions but are normalized to uninduced, DMSO-treated control wells for each genotype and replicate. Mirin: 5 μM. Blue prediction bars are calculated from an additive model assuming no interaction, with the average effect of mirin on NT cells plus the average effect of UBR5 depletion for each guide and replicate. Data represent mean ± SEM of 2 biological replicates, and statistics represent a two-way ANOVA with Dunnett multiple comparisons test; p = 0.0277. (F) Western blot depicting robust UBR5 KO in two selected HT1080-6TG clones. (G) Dose curve of HT1080-6TG clones shown in (F) grown in increasing doses of mirin in a colony formation assay. IC50 was calculated from a sigmoidal interpolation of all datasets. Error bars: ± SEM from three biological replicates. Statistics match in color the clone they reference, relative to NT cells. Statistics: a two-way ANOVA with Dunnett’s multiple comparisons test between NT-treated cells and UBR5 -KO clones at each concentration; * p < 0.01 and **** p < 0.0001. (H) Western blot showing UBR5 depletion in U2-OS cells electroporated with either an sgNT-RNP or an sg UBR5 -RNP. (I) Log 2 of the relative confluence over time (relative to DMSO) for sgNT-RNP- or sg UBR5 -RNP-treated U2-OS cells from (H), grown with 25 μM mirin over 120 h. The shaded area around each solid line indicates the SEM from three biological replicates. Statistics: a two-way ANOVA at 120 h with Šídák’s multiple comparisons test; p = 0.0317. See also .
Article Snippet:
Techniques: Standard Deviation, Expressing, Cell Culture, Labeling, Imaging, Control, Western Blot, Clone Assay, Colony Assay, Concentration Assay
Journal: Nature Communications
Article Title: Supercharging-enhanced nDIA-MS enables global profiling of drug-induced proteome solubility shifts
doi: 10.1038/s41467-026-69025-8
Figure Lengend Snippet: Volcano plots showing the comparisons of protein levels between MG132 vs vehicle, and MG132 + ML-792 vs ML-792 from ( A ) U2OS, ( B ) HeLa, and ( C ) HEK293A cells. Volcano plots showing the comparisons of protein levels between ML-792 vs vehicle, and MG132 + ML-792 vs MG132 from ( D ) U2OS, ( E ) HeLa, and ( F ) HEK293A cells. P -values were calculated using a two-tailed Student’s t-test. No adjustments for multiple comparisons were applied. G Venn diagram showing the overlaps of up- and down-regulated proteins obtained from three cancer cell lines following treatment of MG132. Differentially regulated proteins from two pairwise comparisons of MG132 vs vehicle and MG132 + ML-792 vs ML-792 were combined. H Venn diagram showing the overlaps of up- and down-regulated proteins obtained from three cancer cell lines following treatment of ML-792. I , J Heatmaps showing differential proteins modulated by MG132 ( I ) and ML792 ( J ), respectively. Only proteins dysregulated in at least two cell lines are displayed. Western blotting results of representative proteins modulated by MG132 or ML792, including C-FOS ( K ), EGR1 ( K ), CCN1/2 ( L ), HIF1A ( M ). Experiments were repeated at least three times, and similar results were obtained. Source data are provided as a Source Data file.
Article Snippet:
Techniques: Two Tailed Test, Western Blot
Journal: Nature Communications
Article Title: Supercharging-enhanced nDIA-MS enables global profiling of drug-induced proteome solubility shifts
doi: 10.1038/s41467-026-69025-8
Figure Lengend Snippet: Volcano plots showing the comparisons of relative insolubility rates between MG132 vs vehicle, and MG132 + ML-792 vs ML-792 from ( A ) U2OS, ( B ) HeLa, and ( C ) HEK293A cells. P -values were calculated using a two-tailed Student’s t-test. No adjustments for multiple comparisons were applied. Venn diagram showing the overlaps of ( D ) up- and ( E ) down-regulated proteins obtained from three cancer cell lines. Differentially regulated proteins from two pairwise comparisons of MG132 vs vehicle and MG132 + ML-792 vs ML-792 were combined. Functional enrichment analysis of the proteins whose insolubility rates were consistently ( F ) up- and ( G ) down-regulated in at least two cell lines. Enrichment analysis was performed using DAVID with default settings. P-values were calculated using the modified Fisher’s exact test (EASE score). No adjustments for multiple comparisons were applied. H–J Heatmaps showing proteins modulated by MG132. K–M Western blotting result of representative proteins that modulated by MG132 or ML792, including BAG6, UBL4A, TEX264, HSF1, REV1, and ATR1. Experiments were repeated at least three times, and similar results were obtained. Source data are provided as a Source Data file.
Article Snippet:
Techniques: Two Tailed Test, Functional Assay, Modification, Western Blot
Journal: Nature Communications
Article Title: Supercharging-enhanced nDIA-MS enables global profiling of drug-induced proteome solubility shifts
doi: 10.1038/s41467-026-69025-8
Figure Lengend Snippet: Volcano plots showing the comparisons of relative insolubility rates between ML-792 vs vehicle, and MG132 + ML-792 vs MG132 from ( A ) U2OS, ( B ) HeLa, and ( C ) HEK293A cells. P -values were calculated using a two-tailed Student’s t-test. No adjustments for multiple comparisons were applied. Venn diagram showing the overlaps of ( D ) up- and ( E ) down-regulated proteins obtained from three cancer cell lines. Differentially regulated proteins from two pairwise comparisons of ML-792 vs vehicle and MG132 + ML-792 vs MG132 were combined. F Functional enrichment analysis of the proteins whose insolubility rates were consistently up- and down-regulated in at least two cell lines. Enrichment analysis was performed using DAVID with default settings. P-values were calculated using the modified Fisher’s exact test (EASE score). No adjustments for multiple comparisons were applied. G–I Heatmaps showing proteins modulated by ML-792. J–L Western blotting result of representative proteins that modulated by MG132 or ML792, including FANCD2, POLR3G, SP100, and DAXX. Experiments were repeated at least three times, and similar results were obtained. Source data are provided as a Source Data file.
Article Snippet:
Techniques: Two Tailed Test, Functional Assay, Modification, Western Blot
Journal: bioRxiv
Article Title: C9ORF72-derived polyGR polypeptides disrupt passive nucleocytoplasmic transport by tuning protein affinity for the nuclear pore barrier
doi: 10.64898/2026.03.16.711670
Figure Lengend Snippet: a, Schematic of the experimental design for assessing polyGR association with nuclear pores using two-colour STORM microscopy in U2OS-CRISPR–NUP96–mEGFP cells. Angled beam imaging was used to selectively excite single molecules of ATTO655-labelled GR 20 or ATTO655 dye alone and Nup96-mEGFP labelled with anti-GFP nanobodies by DNA-PAINT at the basal nuclear envelope. b, Averaged NPC localisations from STORM imaging of fixed cells showing that ATTO655 dye alone does not localize to NPCs (upper panel), whereas ATTO655–GR 20 exhibits localisation in close proximity to NPCs, not co-localising with the structural component Nup96, but instead in surrounding regions including within the central channel. Scale bars = 50 nm.
Article Snippet:
Techniques: Microscopy, CRISPR, Imaging
Journal: Nature Methods
Article Title: Optimal precision and accuracy in 4Pi-STORM using dynamic spline PSF models
doi: 10.1038/s41592-022-01465-8
Figure Lengend Snippet: Mic60 is a component of the MICOS complex, and is involved in the formation and maintenance of crista junctions that connect the crista membrane with the inner boundary membrane. a , Mic60 in a U-2 OS cell, labeled with primary and secondary antibodies. The Mic60 signals appear as structured, punctate clusters. The localizations are color coded according to their z coordinate (identical color scales in a – d ). Scale bar, 200 nm. b , Magnified view of the boxed region in a . Scale bar, 50 nm. c , Mic60 in a COS-7 cell, in which the crista junctions exhibit a linear organization over segments of the inner boundary membrane. Scale bar, 200 nm. d , Magnified view of the boxed region in c . Scale bar, 50 nm. e , f , Unwrapped views of the Mic60 localization density around the surface of the mitochondria, showing the nanoscale distribution of Mic60. In U-2 OS cells, Mic60 appears predominantly punctate, with pairs or clusters of signal density separated by 20–40 nm (Extended Data Fig. and Supplementary Fig. ). In COS-7 cells, Mic60 appears to have a zigzag or double-line arrangement, with a typical width of approximately 25 nm (Extended Data Fig. and Supplementary Fig. ). Dashed lines indicate the extent of the data in f . g , Two-color image of Mic60 (blue) and mitochondrial nucleoids (yellow) in a COS-7 cell, stained with antibodies labeled with Alexa Fluor 647 and Cy5.5, respectively. Scale bar, 1 µm. h , Detailed view of the boxed region in g . Lower density of Mic60 close to the DNA signal, suggesting fewer crista junctions in these regions. i , Cross-section ( x – z ) through the region indicated by the dashed lines in h , showing Mic60 at the inner boundary membrane, and a DNA cluster in the center of the mitochondrion. j , A 3D perspective view of the mitochondrion shown in h and i , where the Mic60 and DNA signals have been rendered as isosurfaces. Scale bars, 250 nm ( h – j ).
Article Snippet: Experiments were performed using either standard COS-7 cells or U-2 OS cells obtained from American Type Culture Collection (ATCC), or gene-edited
Techniques: Labeling, Staining
Journal: bioRxiv
Article Title: Deep learning enables fast and dense single-molecule localization with high accuracy
doi: 10.1101/2020.10.26.355164
Figure Lengend Snippet: a) DECODE can reduce acquisition times by one order of magnitude. The same sample of microtubules, labeled with anti- α tubulin primary and AF647 secondary antibodies, imaged with different UV activation intensities to result in different emitter densities between 0.08 and 0.86 emitters per frame per μm 2 and acquisition times between 93 and 1120 s, while keeping the total number of localizations the same. For high-density activation, we show a comparison with CSpline. b) Fourier Ring Correlation curves for DECODE and CSpline for different emitter densities. c) Resolution estimates obtained using the Fourier Ring Correlation and 0.143 criterion across densities for both methods. d) Fast live-cell SMLM on the nuclear pore complex protein Nup96-mMaple acquired in 3 seconds. e) DECODE enables ultra-high labeling densities. Microtubules labeled with a high concentration of anti- α and anti- β tubulin primary and AF647 secondary antibodies. e1, e2) Magnified regions as indicated in a. Data acquired with high-density labeling shows continuous structures. As a comparison, the same sample was acquired after pre-bleaching of the fluorophores to reach the single-molecule blinking regime. Here, single labels are resolved in the superresolution reconstruction and lead to a sparse decoration of the microtubules. e3, e4) Side view reconstructions of regions as indicated in e1, e2 resolving the hollow, cylinder-like structure of immunolabeled microtubules. f) Representative raw camera frames for the high-density and single-emitter acquisitions, respectively. Scale bars: 10 μm (d inset, f), 1 μm (a, d, e, e1, e2), 100 nm (e3,e4).
Article Snippet: For imaging of live cells, coverslips containing
Techniques: Labeling, Activation Assay, Concentration Assay, Immunolabeling
Journal:
Article Title: General Transcriptional Coactivator PC4 Activates p53 Function
doi: 10.1128/MCB.24.5.2052-2062.2004
Figure Lengend Snippet: PC4 directly interacts with p53 in vitro and in vivo. (A) Induction of p53 expression in the U2OS cell line. The levels of p53 and PC4 present in adriamycin (2 μg/ml)-treated U2OS cells were assessed by Western blotting using anti-p53 (upper panel) and anti-PC4 (lower panel) antibodies. (B and C) In vivo interaction of PC4 with p53. (B) Lane 1, an adriamycin (2 μg/ml)-induced U2OS cell extract was immunoblotted with polyclonal PC4 antibody N17. Lane 2, immunoprecipitation of endogenous PC4 from an induced U2OS cell lysate was performed using anti-p53 monoclonal antibody DO1 followed by immunoblotting with anti-PC4 polyclonal antibody. Lane 3, immunoprecipitation using mouse preimmune serum used as a control. (C) Lane 1, immunoprecipitation of endogenous p53 from an induced U2OS cell extract, using anti-PC4 polyclonal antibody N17 followed by immunoblotting with anti-p53 monoclonal antibody DO1. Lane 2, adriamycin-induced U2OS cell extract immunoblotted with monoclonal p53 antibody DO1. Lane 3, immunoprecipitation reaction with goat preimmune serum used as a control. (D, E, and F) Interaction of PC4 with p53 in an in vitro GST pulldown assay. (D) Schematic representation of GST and GST-p53 fusion proteins. ++, strong interaction of PC4 with respective GST-p53 fusion protein; +, weaker interaction; −, no interaction. (E) SDS-PAGE (10%) and Coomassie blue R250 staining of immobilized GST-p53 fusion proteins. Lane 1, GST-p53 (full length); lane 2, GST-p53(1-73), lane 3, GST-p53(120-290); lane 4, GST-p53(284-330), lane 5, GST-p53(328-368); lane 6, GST-p53(364-393). GST fusion proteins predominantly contain intact proteins (indicated with asterisks) with minimum low-molecular-weight breakdown products. (F) One microgram of GST (lane 2) or GST-p53 fusion proteins (lanes 3 to 8) was incubated with bacterial extract containing 200 ng of PC4 and analyzed by immunoblotting with anti-PC4 N17 antibody. Lane 1, 5% input of bacterial cell lysate. IP, immunoprecipitation; IB, immunoblot; WCE, whole-cell extract; AD, activation domain; DBD, DNA binding domain; OD, oligomerization domain.
Article Snippet: Immunoprecipitation was performed by incubating the drug-treated
Techniques: In Vitro, In Vivo, Expressing, Western Blot, Immunoprecipitation, GST Pulldown Assay, SDS Page, Staining, Molecular Weight, Incubation, Activation Assay, Binding Assay