genome wide crispr screening  (TaKaRa)

Journal: Scientific Reports

Article Title: Genome-wide CRISPR screen for human factors involved in alternative polyadenylation based on differential localization of CD47

doi: 10.1038/s41598-025-14782-7

Figure Lengend Snippet: Genome-wide CRISPR screening identifies candidate APA regulators . ( a ) Schematic of the genome-wide CRISPR screen based on differential CD47 localization. ( b ) FACS analysis of cell surface and intracellular CD47 expression in HeLa cells stably expressing Cas9. The 10% of cells with the lowest (CD47 surface high) and 10% with the highest (CD47 surface low) intracellular-to-cell surface CD47 expression ratios were collected. ( c ), ( d ) Gene-level enrichment of sgRNAs in CD47 surface high ( c ) and CD47 surface low ( d ) cells, with the x-axis representing log 2 fold changes and the y-axis showing MAGeCK P-values. Dashed lines indicate P < 0.05 and log 2 fold changes > 1, with significantly enriched genes highlighted. ( e ) ( f ) GO enrichment analysis of top 100 ranked genes whose depletion resulted in cell surface CD47 retention (CD47 surface high) ( e ) or intracellular CD47 accumulation (CD47 surface low) ( f ).

Article Snippet: For pooled genome-wide CRISPR screening, the Guide-it CRISPR Genome-Wide sgRNA Library (Takara), comprising 76,612 sgRNAs targeting 19,114 human genes, was packaged into lentivirus following the manufacturer’s protocol.

Techniques: Genome Wide, CRISPR, Expressing, Stable Transfection

Journal: Scientific Reports

Article Title: Genome-wide CRISPR screen for human factors involved in alternative polyadenylation based on differential localization of CD47

doi: 10.1038/s41598-025-14782-7

Figure Lengend Snippet: Secondary screen identifies candidate genes potentially involved in APA regulation. ( a ) Schematic of the secondary CRISPR screen based on differential CD47 localization. ( b ) Quantification of MFI values from FACS analysis of CD47. The double staining approach was applied to HeLa cells stably expressing control shRNA or shRNA targeting candidate genes. Results are presented as mean ± s.d. ****, P < 0.0001; ***, P < 0.001; **, P < 0.01 (two-tailed t-test for independent samples, n = 3). ( c ) qRT-PCR analysis of total CD47 mRNA and the long 3′ UTR isoform in HeLa cells stably expressing control shRNA or shRNA targeting candidate genes. Results are presented as mean ± s.d. ****, P < 0.0001; ***, P < 0.001; **, P < 0.01 (two-tailed t-test for independent samples, n = 3).

Article Snippet: For pooled genome-wide CRISPR screening, the Guide-it CRISPR Genome-Wide sgRNA Library (Takara), comprising 76,612 sgRNAs targeting 19,114 human genes, was packaged into lentivirus following the manufacturer’s protocol.

Techniques: CRISPR, Double Staining, Stable Transfection, Expressing, Control, shRNA, Two Tailed Test, Quantitative RT-PCR

Journal: Science Advances

Article Title: Impaired mitochondrial metabolism is a critical cancer vulnerability for MYC inhibitors

doi: 10.1126/sciadv.adw5228

Figure Lengend Snippet: ( A ) Experimental design for genome-wide CRISPR screen in MycCaP cells. Cells were infected with the mouse Toronto KnockOut (mTKO) CRISPR library, selected, and treated with either vehicle or MYCi975 at LD20 (3.5 μM) for 9 days or 10 population doublings before next-generation sequencing. Created in BioRender. W. Yang (2025), https://BioRender.com/6x6pegu . ( B ) Norm Z scores for all screened genes plotted against gene rank. Genes that synergize with MYCi975 (red) exhibit strongly negative Norm Z values. Key metabolic hits are color coded by function as shown. ( C ) Gene Ontology (GO) analysis of synergistic hits reveals significant enrichment of mitochondrial pathways. Point size corresponds to gene number and color intensity reflects statistical significance [−log 10 ( P value)]. ( D ) Donut chart showing the proportion of MYC-regulated and synergistic components within each mitochondrial respiratory chain complex (I to V). Complex I exhibits the highest fraction of synthetic-lethal hits (43.9%), compared to ≤12.5% in other complexes.

Article Snippet: A genome-wide CRISPR KO screen was conducted in MycCaP cells using the mTKO CRISPR library (Addgene, no. 159393, RRID:Addgene_159393), which targets 19,463 mouse genes with 94,528 sgRNAs (five sgRNAs per gene) ( , ).

Techniques: Genome Wide, CRISPR, Infection, Knock-Out, Next-Generation Sequencing

Journal: Science Advances

Article Title: Impaired mitochondrial metabolism is a critical cancer vulnerability for MYC inhibitors

doi: 10.1126/sciadv.adw5228

Figure Lengend Snippet: ( A ) Western blot confirming small interfering RNA (siRNA)–mediated MYC knockdown and sgRNA-mediated Ndufa3 KO in MycCaP cells. Actin is a loading control. ( B ) Cell viability (manual counting) in MycCaP cells subjected to indicated siRNAs/sgRNAs for 3 days. Data are means ± SEM ( n = 3); unpaired two-tailed Student’s t test. ( C ) Western blot validation of Ndufa3 or Sod2 KO in MycCaP cells using two independent sgRNAs per gene. Actin is a loading control. ( D ) Cell viability of MycCaP cells expressing control or Ndufa3/Sod2 sgRNAs treated with dimethyl sulfoxide (DMSO) or 5 μM MYCi975. Data are means ± SEM ( n = 3); one-way analysis of variance (ANOVA), Tukey’s test. ( E and F ) Expression of yeast NADH [reduced form of nicotinamide adenine dinucleotide (oxidized form)] dehydrogenase (NDI1) rescues synthetic lethality between Ndufa3 loss and MYC inhibition but not Sod2 loss. Immunoblot validation (E) and quantification of cell viability (F) in cells treated with 4 μM MYCi975. Data are means ± SEM ( n = 3); one-way ANOVA, Tukey’s test. ( G ) Analysis of DepMap AVANA dataset showing differential gene dependencies between complex I–low and complex I–high cell lines. MYC exhibits enhanced dependency in complex I–low cells (red dot). Data visualized by authors; original CRISPR-dependency scores from DepMap AVANA .

Article Snippet: A genome-wide CRISPR KO screen was conducted in MycCaP cells using the mTKO CRISPR library (Addgene, no. 159393, RRID:Addgene_159393), which targets 19,463 mouse genes with 94,528 sgRNAs (five sgRNAs per gene) ( , ).

Techniques: Western Blot, Small Interfering RNA, Knockdown, Control, Two Tailed Test, Biomarker Discovery, Expressing, Inhibition, CRISPR