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u2os cells ![]() U2os Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 98/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/u2os cells/product/ATCC Average 98 stars, based on 1 article reviews
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model mammalian cell line u 2 os ![]() Model Mammalian Cell Line U 2 Os, supplied by ATCC, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more https://www.bioz.com/result/model mammalian cell line u 2 os/product/ATCC Average 94 stars, based on 1 article reviews
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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: SFPQ Promotes Homologous Recombination via mRNA Stabilization of RAD51 and Its Paralogs
doi: 10.1101/2025.09.08.674956
Figure Lengend Snippet: (A) Representative images show DAPI (blue), EdU (green), pATM (magenta), SFPQ (cyan), and merged (right) staining in siNTC-treated DIvA U2OS cells under break and no break conditions. Breaks were induced with 4-hydroxytamoxifen for 24 hours, and images were captured using a 10X magnification. Cells (∼20,000 per well) were imaged across three wells per condition (16 fields per well; 48 images total) and quantified in Cell Profiler for nuclear intensity, foci count, and cell-cycle stage based on EdU/DAPI. Data are representative of n=48 images. (B) Quantification of SFPQ–pATM and pATM–γH2AX co-localization in G2-phase cells. Violin plots show correlation coefficients of SFPQ and pATM (left) and pATM and γH2AX (right) in G2 cells with or without DNA breaks. (C) ChIP-seq data representing SFPQ-bound chromatin at 122 defined AsiSI sites under uncut (noDSB) and cut (+4OHT, 4 hours) conditions (left). ChIP-seq data representing SFPQ bound to RNU sites (right). Immunoprecipitation was performed using SFPQ polyclonal antibody. Normalized ChIP-seq signal was plotted for ±1.5 kb around AsiSI sites. SFPQ occupancy profiles are shown for two independent replicates with DSB induction (dark blue and light blue) and for the noDSB control (yellow).
Article Snippet:
Techniques: Staining, ChIP-sequencing, Immunoprecipitation, Control
Journal: bioRxiv
Article Title: SFPQ Promotes Homologous Recombination via mRNA Stabilization of RAD51 and Its Paralogs
doi: 10.1101/2025.09.08.674956
Figure Lengend Snippet: (A) (Top) SFPQ mean intensity: Violin plots (with embedded boxplots) show the single-cell distribution of nuclear SFPQ mean fluorescence intensity in DIvA U2OS cells under no break (untreated) and break (4-hydroxytamoxifen, 4-OHT) conditions. Each dot is one nucleus; boxplots denote median and interquartile range. Cell-cycle phase (G1, S, G2) was assigned per cell using EdU incorporation (green) and DAPI DNA content (blue). (Bottom) SFPQ foci per cell: Violin plots (with embedded boxplots) show the number of SFPQ nuclear foci per cell under the same conditions and cell-cycle stratification. Quantification: Cells were left untreated or treated with 4-OHT to induce AsiSI-mediated DSBs, then stained for SFPQ (cyan), EdU, and DAPI. Images were analyzed in Cell Profiler to segment nuclei, call SFPQ foci, compute per-nucleus mean intensity and foci counts, and assigned cell-cycle stage from EdU/DAPI features. (B) Non–pre-extracted immunofluorescence staining of pATM and SFPQ in DIvA U2OS cells with or without DSB induction. Cells were left untreated or treated with 4-hydroxytamoxifen (4-OHT) to induce AsiSI-mediated DSBs and stained for DNA (DAPI, blue), EdU incorporation (green), phosphorylated ATM (pATM, magenta), and SFPQ (cyan). Images were acquired without cytoskeletal (CSK) pre-extraction to visualize total nuclear staining patterns. Merged images show nuclear co-localization of pATM and SFPQ signals in the presence and absence of DNA damage.
Article Snippet:
Techniques: Fluorescence, Staining, Immunofluorescence, Extraction
Journal: bioRxiv
Article Title: SFPQ Promotes Homologous Recombination via mRNA Stabilization of RAD51 and Its Paralogs
doi: 10.1101/2025.09.08.674956
Figure Lengend Snippet: (A) mRNA-seq log₂ fold changes of RAD51 paralogs and pooled transcripts in the indicated Gene Ontology (GO) categories in DIvA U2OS cells treated with siSFPQ compared to siNTC control for 72 hours in the absence of DSBs. Data represent the mean of three biological replicates. Individual p-values were adjusted for multiple comparisons. Aggregate p-values were combined by Fisher’s method. (B) Differential transcript utilization analysis for RAD51 paralogs. mRNA-seq data from siNTC versus siSFPQ DIvA U2OS cells were analyzed for transcript isoform usage. Bars represent the likelihood ratio statistic for each gene, with blue bars indicating genes showing significant shifts in transcript utilization (RAD51B, RAD51C) upon SFPQ depletion. Grey bars indicate genes without significant changes. (C) Western blot analysis of SFPQ and RAD51 protein levels of the three biological replicates used for mRNA-seq following siNTC or siSFPQ treatment. Total protein staining is shown as a loading control. (D) Representative images show DAPI (blue), EdU (green), RAD51 (magenta), SFPQ (cyan), and merged (right) staining in siNTC-treated DIvA U2OS cells under break and no break conditions, pre-extracted with CSK. Breaks were induced with 4-OHT for 4 hours. Cells (∼20,000 per well) were imaged across four wells per condition (16 fields per well; 64 images total) and quantified in Cell Profiler for nuclear intensity, foci count, and cell-cycle stage based on EdU/DAPI. (E) Quantification of SFPQ and RAD51 foci per cell in DIvA U2OS cells following siRNA treatment and DNA damage induction. Violin plots show the distribution of foci counts across conditions with or without 4-hydroxytamoxifen (4-OHT) treatment and following transfection with non-targeting control (NTC), RAD51-targeting, or SFPQ-targeting siRNAs. Data are representative of n=64 images. (F) Violin plots showing correlation coefficients of SFPQ and RAD51 in G2 cells with or without DNA breaks. Quantification of SFPQ-RAD51 foci co-localization in G2-phase cells was performed using Cell Profiler analysis of single-cell fluorescence signals.
Article Snippet:
Techniques: Control, Western Blot, Staining, Transfection, Fluorescence
Journal: bioRxiv
Article Title: SFPQ Promotes Homologous Recombination via mRNA Stabilization of RAD51 and Its Paralogs
doi: 10.1101/2025.09.08.674956
Figure Lengend Snippet: (A) Differential expression analysis of mRNA-seq data comparing DSB versus no-DSB conditions in siNTC-treated DIvA U2OS cells (n=3 biological replicates). Mean log₂ fold change for the same targets is shown as . No significant expression differences were detected for these targets upon DSB induction in control cells. (B) ChIP-seq data showing SFPQ abundance at sites upstream and downstream of RAD51-paralog genes both without (noDSB) or with (+DSB) 4 hours of DSB induction. Data displayed is the average signal across all 6 RAD51 paralogs. (C) mRNA-seq log₂ fold changes of transcript expression of the indicated gene or GO category in DIvA U2OS cells treated with siSFPQ compared to siNTC control for 72 hours in the absence of DSBs. Data represent the mean of three biological replicates. Individual p-values were adjusted for multiple comparisons. Aggregate p-values were combined by Fisher’s method. (D) Western blot of DIvA U2OS cells treated with siSFPQ with or without p53 inhibition by PFT-α (30 µM) for 24 hours. Lysates were blotted for SFPQ, HSP70, MDM2 and RAD51. (E) (Left) Western blot of p53-null K562 cells treated with siSFPQ. Total protein staining is shown as a loading control. (Right) Quantification of SFPQ and RAD51 normalized band intensities relative to total protein is graphed.
Article Snippet:
Techniques: Quantitative Proteomics, Expressing, Control, ChIP-sequencing, Western Blot, Inhibition, Staining
Journal: bioRxiv
Article Title: SFPQ Promotes Homologous Recombination via mRNA Stabilization of RAD51 and Its Paralogs
doi: 10.1101/2025.09.08.674956
Figure Lengend Snippet: (A) Cycloheximide (CHX) ± carfilzomib (Carf) protein stability assay in DIvA U2OS cells. Cells were transfected with either non-targeting control (siNTC) or SFPQ-targeting (siSFPQ) siRNAs for 72 h, then treated with CHX alone or CHX + Carf to inhibit protein synthesis and proteasomal degradation, respectively. Lysates were collected at 0-, 2-, and 4-hours post-drug treatment from three independent biological replicates. (B) RAD51 abundance from normalized to total protein and then to 0 hr. condition. Data points represent individual replicates; lines indicate the mean. (C) RIP-seq analysis of SFPQ binding across RAD51 family paralogs in melanoma cells. Read coverage tracks show SFPQ-associated RNA fragments aligned to the genomic loci of RAD51B, RAD51C, RAD51D, XRCC2, and XRCC3. Peaks indicate regions of enriched SFPQ binding, with annotations of exon–intron structure shown below each track. Model for SFPQ-mediated stabilization of RAD51 mRNA and its impact on homologous recombination (HR). In the presence of SFPQ, the protein binds to RAD51 mRNA, promoting transcript stabilization. Stable RAD51 mRNA ensures sufficient RAD51 protein production, enabling efficient RAD51 filament formation on DNA and supporting robust HR (left). Upon SFPQ loss, RAD51 family mRNAs are destabilized, leading to reduced RAD51 protein abundance. This reduction impairs HR efficiency (right).
Article Snippet:
Techniques: Stability Assay, Transfection, Control, Binding Assay, Homologous Recombination, Quantitative Proteomics