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Image Search Results
Journal: Molecular cell
Article Title: CRAMP1 drives linker histone expression to enable Polycomb repression.
doi: 10.1016/j.molcel.2025.05.031
Figure Lengend Snippet: Figure 1. A genome-wide CRISPR-Cas9 genetic screen identifies an essential requirement for CRAMP1 and histone H1.4 in PRC2-mediated reporter repression (A) Schematic representation of GFP reporter repression by the PRC2 complex. (B) The GFP reporter is derepressed upon CRISPR-Cas9-mediated gene disruption of any of the three core PRC2 subunits, as assayed by flow cytometry. (C) A genome-wide CRISPR-Cas9 screen to identify factors required for PRC2 function. Following Cas9 expression in KBM-7 cells harboring the PRC2-sensitive GFP reporter, genome-wide mutagenesis was carried out with the Sabatini/Lander single guide RNA (sgRNA) library, 36 and GFP + cells isolated through two sequential rounds of FACS. ‘‘Significance’’ on the y axis represents the negative log of the ‘‘pos|score’’ metric reported by Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK). 37
Article Snippet: Single guide RNA (sgRNA) sequences were selected from the
Techniques: Genome Wide, CRISPR, Disruption, Flow Cytometry, Expressing, Mutagenesis, Isolation, Knock-Out
Journal: Molecular cell
Article Title: CRAMP1 drives linker histone expression to enable Polycomb repression.
doi: 10.1016/j.molcel.2025.05.031
Figure Lengend Snippet: Figure 5. Linker histones are not enriched at regions marked by H3K9me3 (A–D) Lack of linker histone enrichment at H3K9me3-marked genomic regions. (A) Tornado plots depicting linker histone CUT&Tag signal across H3K9me3 peaks from the ENCODE project; average signal intensity is shown in (B). (C) Heatmap depicting the lack of correlation between linker histone occupancy and H3K9me3. Cells are annotated with pairwise Spearman correlation coefficients. An example locus is shown in (D). (E) CUT&Tag faithfully profiles H3K9me3. Example loci comparing CUT&Tag versus H3K9me3 ChIP-seq data (ENCODE) are shown. (F and G) Linker histone insufficiency does not impair H3K9me3-dependent LINE-1 silencing by the HUSH complex. (F) Schematic representation of the dual- color reporter cell line designed to monitor both H3K9me3-dependent repression by the HUSH complex and linker histone-mediated PRC2-reporter repression. (G) HUSH-mediated LINE-1 silencing is unaffected upon CRAMP1 depletion. The indicated CRISPR sgRNAs were expressed in the dual-color reporter cell line, and GFP and iRFP fluorescence assayed by flow cytometry. See also Figure S5 and Table S2.
Article Snippet: Single guide RNA (sgRNA) sequences were selected from the
Techniques: ChIP-sequencing, CRISPR, Fluorescence, Flow Cytometry
Journal: bioRxiv
Article Title: CRlSPR/Cas9 screening revealed BlRC6-AS1 /BlRC6 mediates abiraterone resistance via NHEJ pathway-dependent A20 degradation in prostate cancer
doi: 10.1101/2025.10.01.679907
Figure Lengend Snippet: ( A ) Schematic of CRISPR-Cas9 screens: A lentiviral sgRNA library was transduced into PC3-Cas9 cells, which were then treated with DMSO or Abiraterone, respectively. After 28 days, sgRNAs were extracted for NGS. ( B ) Box plots displaying sgRNA distribution in the experimental groups from lncRNA CRISPR-Cas9 library: D0-DMSO (baseline), D28-DMSO (vehicle control), and D28-Abiraterone (treatment). ( C and D ) Volcano plots showing depleted (red; RRA Score ≤ 0.05, -log□FC ≥ 2) and enriched (blue; RRA Score ≤ 0.05, log□FC ≥ 2) genes. Screening analysis was performed with MaGeCK RRA. ( C ) Negative selection identified 523 abiraterone resistance-associated LncRNAs and 553 essential LncRNAs. ( D ) Positive selection revealed 717 LncRNAs associated with abiraterone sensitivity and 169 essential LncRNAs. ( E ) Venn diagram showed negatively selected genes from two comparisons: Abiraterone vs Control and Control vs D0. ( F ) MAGeCK analysis results displayed a ranking of genes based on their RRA scores. ( G ) Frequency distribution of log2 fold change for all sgRNAs (top) and log2 fold change of individual sgRNAs for representative candidates (bottom). Enriched and depleted sgRNA hits were indicated by red and blue vertical bars, respectively. ( H ) The RRA score distribution plot revealed the top 10 candidate LncRNAs associated with abiraterone resistance. ( I-N ) Cell viability assays in PC3 ( I-K ) and DU145 ( L-N ) cells treated with 0-70 μM abiraterone for 48h, following transduction with either control sgRNAs or sgRNAs targeting candidate lncRNAs: RP11-1079K10.3 ( I and L ), WWTR1-AS1 ( J and M ), and RP11-49K24.4 ( K and N ). Data are shown as the mean ± SD (n = 4 biological replicates). Data were analyzed by two-way analysis of variance (ANOVA) with Dunnett’s multiple comparisons test ( I-N ).
Article Snippet: PC3-Cas9 cells (4×10 ) were transduced with either the Splicing-targeting CRISPR-Cas9 library for human
Techniques: CRISPR, Control, Selection, Transduction
Journal: Cell systems
Article Title: Illuminating Host-Mycobacterial Interactions with Genome-wide CRISPR Knockout and CRISPRi Screens.
doi: 10.1016/j.cels.2020.08.010
Figure Lengend Snippet: Figure 1. A Pooled Approach for CRISPR Knockout and CRISPRi Screening in Human THP-1 Cells (A) Strategy for preparing CRISPR libraries and performing genetic screens. (B) THP-1-mediated phagocytosis of M. bovis BCG after three rounds of infection (MOI 10:1) with induced green fluorescence (map24::GFP) (Scale bar, 20 mm). (C) Viability of host cells after three rounds of M. bovis BCG infection. (D and E) Expression of Cas9 (D) and dCas9-KRAB (E) in 9 randomly selected monoclonal THP-1 cells. Wild-type THP-1 cells were used as negative control. Vinculin was used as a loading control. (F) An sgRNA for EGFP was introduced in both wild-type and Cas9-expressing THP-1 cells using a lentivirus (pXPR-011) that also contains EGFP as a target (Scale bar, 20 mm). (G) Cas9-expressing THP-1 cells were transduced with an sgRNA targeting AAVS1 at a low MOI. Mutations at the AAVS1 locus were detected by SURVEYOR assay. The size of the AAVS1 amplicon is 500 bp. The cleaved product sizes are 320 and 180 bp. (H) Growth measurement associated with sgRNAs targeting INTS9, MCM2, and non-targeting negative controls sgNC1 and sgNC13. (I and J) RT-qPCR analysis of INTS9 (I) and MCM2 (J) expression in dCas9-KRAB-expressing THP-1 cells. The values are normalized to GAPDH (glyceraldehyde- 3-phosphate dehydrogenase). Data represent the mean ± SD (n = 3) (two-tailed unpaired Student’s t test, *p < 0.05 **p < 0.01 ***p < 0.001). See also Figure S1; Table S13.
Article Snippet:
Techniques: CRISPR, Knock-Out, Infection, Expressing, Negative Control, Control, Transduction, Amplification, Quantitative RT-PCR, Two Tailed Test
Journal: Cell systems
Article Title: Illuminating Host-Mycobacterial Interactions with Genome-wide CRISPR Knockout and CRISPRi Screens.
doi: 10.1016/j.cels.2020.08.010
Figure Lengend Snippet: Figure 2. Genome-wide Pooled CRISPR Knockout and CRISPRi Screens to Dissect Biological Pathways in Mycobacterial Infection (A and B) Volcano plots from CRISPR knockout (A) and CRISPRi (B) screens. For each sgRNA-targeted gene, the x axis shows its enrichment or depletion post- infection, and the y axis shows statistical significance measured by p value. Positive and negative screen hits are labeled as red and green dots, respectively. Gray dots represent non-targeting controls. For each screen, experiments were carried out in triplicate. (C) Enriched genes in the Venn diagram were filtered with a cut-off of FDR <0.1 and log2-fold change >1 in M. bovis BCG infection. The degree of significance of the overlap is given. (D) Gene-centric visualization of average fold change of CRISPR knockout and CRISPRi screens in infected versus non-infected host cells. Selected type I IFN and AHR/ARNT pathway components are highlighted in orange and blue. (E and F) Candidate genes identified by CRISPR knockout (E) and CRISPRi (F) screens were functionally categorized to understand the changes in biological functions involved in M. bovis BCG infection. Pathways shown in red are those identified by both screens. Color gradient of nodes represents the enrichment scores of gene sets. Node size represents the number of genes in the gene set. Edge width represents mutual overlap of genes. See also Figures S2 and S3; Tables S1, S2, S3, S4, S5, S11, and S12.
Article Snippet:
Techniques: Genome Wide, CRISPR, Knock-Out, Infection, Labeling
Journal: Cell systems
Article Title: Illuminating Host-Mycobacterial Interactions with Genome-wide CRISPR Knockout and CRISPRi Screens.
doi: 10.1016/j.cels.2020.08.010
Figure Lengend Snippet: Figure 3. Secondary CRISPR Knockout and CRISPRi Screens Identify Host Genetic Hits in Mycobacterial Infection (A) Enriched genes were filtered with a cut-off of FDR <0.05 and log2-fold change >0.5 in M. bovis BCG infection. The degree of significance of the overlap is given. (B) Validation rate of genetic hits in secondary screens grouped by their p values in primary genome-wide screens in M. bovis BCG infection. Number of genes per category is indicated. (C) Genetic hits from both primary and secondary screens were ranked by their differential sgRNA abundance between M. bovis BCG-infected versus uninfected populations (log2 fold change). (D) Heatmap of screen hits (log2 fold change) clustered in different biological pathways in M. bovis BCG infection. See also Figures S4 and S5; Tables S6, S7, S8, S9, and S10.
Article Snippet:
Techniques: CRISPR, Knock-Out, Infection, Biomarker Discovery, Genome Wide
Journal: bioRxiv
Article Title: High-throughput Genome Wide CRISPR Knock Out mechanical sort identifies genes driving metastatic cancer cell softening
doi: 10.64898/2026.02.12.705447
Figure Lengend Snippet: Cancer cells expressing Cas9 are transduced with a lentiviral library containing sgRNAs across the entire protein-coding genome at a low MOI to allow for single gene knockouts. Antibiotic selection ensures only cells with gene knockouts are included in mechanical screen. Next, the library of cells with single gene knockouts are processed with a microfluidic stiffness-based cell sorting device into 5 mechanical subsets. The inset shows a side and top view of the ridged region of the device where cells must deform underneath each diagonal ridge. Softer cells deform easily underneath the ridges and follow hydrodynamic streamlines to provide a slight negative deflection towards outlets 1 and 2. Stiffer cells resist deformation and are deflected along the diagonal ridge resulting in trajectories towards outlets 4 and 5. Genomic DNA is harvested from each mechanical subset, the sgRNA regions are amplified and sequenced, and the distribution of sgRNAs before and after the mechanical screen is used to determine the correlation of gene knockouts with mechanical subsets.
Article Snippet: The
Techniques: Expressing, Transduction, Selection, FACS, Amplification