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Image Search Results
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
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
Techniques: Western Blot, Small Interfering RNA, Knockdown, Control, Two Tailed Test, Biomarker Discovery, Expressing, Inhibition, CRISPR
Journal: Cell reports
Article Title: CRISPR-Cas9 screening identifies an IRF1-SOCS1-mediated negative feedback loop that limits CXCL9 expression and antitumor immunity.
doi: 10.1016/j.celrep.2023.113014
Figure Lengend Snippet: Figure 5. Targeting SOCS1 in macrophages enhances CXCL9 expression CRISPR-Cas9 editing was used to generate control or Irf1- or Socs1-deficient bone marrow-derived macrophages as per Figure 3E. 1 3 105 macrophages were stimulated for 17 h with 1 ng/mL IFNg. (A and B) Expression of Cxcl9 determined (A) by flow cytometry and (B) by cytometric bead array. *p < 0.05, ****p < 0.0001, two-way ANOVA. (C) MA plot of RNA-seq analysis performed on control and Socs1 KO bone marrow-derived macrophages stimulated with 1 ng/mL IFNg for 17 h.
Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Deposited data Raw data This paper GSE237974 Murine scRNA sequencing data Qu et al.6 GSE150970 Human scRNA sequencing data Bassez et al.29 EGAS00001004809 STAT1 CHIPseq Hogg et al.28 GSE94134 Experimental models: Cell lines Mouse: AT-3 Trina Stewart N/A Mouse: E0771 Robin Anderson N/A Mouse: B16F10 ATCC CRL-6475 Human: OVCAR-3 ATCC HTB-161 Human: MCF7 ATCC HTB-22 Human: HEK293T ATCC CRL-3216 Experimental models: Organisms/strains Mouse: Human-Her2 (hHer2) Bred in house N/A Mouse: OTI Bred in house N/A Mouse: C57BL/6 WEHI N/A Mouse: C57BL/6 Rag1 / WEHI, Australian Bioresources N/A Mouse: Ly5.1 WEHI, Australian Bioresources N/A Oligonucleotides See Table S3 for sgRNA Sequences Synthego N/A See Table S4 for Primer Sequences Integrated DNA Technologies N/A Recombinant DNA Plasmid: FUCas9Cherry Aubrey et al.45 Addgene Plasmid:70182 Pooled library: Mouse CRISPR Knockout Pooled Library (Brie) Doench et al.46 Addgene Cat:73633 Pooled library:
Techniques: Expressing, CRISPR, Control, Derivative Assay, Cytometry, RNA Sequencing
Journal: Molecular Therapy Oncolytics
Article Title: Advancements in CRISPR screens for the development of cancer immunotherapy strategies
doi: 10.1016/j.omto.2023.100733
Figure Lengend Snippet: CRISPR screens in T cells to develop advanced T-cell-based products for cancer immunotherapy
Article Snippet: Mouse , CD4 + T cells , loss of function ,
Techniques: CRISPR, Transduction, Selection, Expressing, Activation Assay, Retroviral, Genome Wide, Knock-Out, In Vitro, Activity Assay, Electroporation, Membrane, Adoptive Transfer Assay, Transgenic Assay, Infection, In Vivo, Migration, Biomarker Discovery, Immunofluorescence, Staining, Flow Cytometry