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Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation [RNA-seq]

ABSTRACT: Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation [RNA-seq]

PROVIDER: PRJNA681200 | ENA |

REPOSITORIES: ENA

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Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation

Project description:Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation

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Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation [m6A-RIP-seq]

Project description:Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation [m6A-RIP-seq]

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Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation [Amplicon-seq]

Project description:Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation [Amplicon-seq]

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Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation [m6A-RIP-seq]

Project description:Total RNAs were isolated from WT_CON, KO_CON, WT_LPS and KO_LPS Raw 264.7 cells, subjected to standard m6A RIP protocol. The libraries were generated with IPed and Input RNAs and subjected to Sequencing. Raw sequencing reads were aligned to the mouse genome (mm10) with Tophat , and gene expression levels were measured by Cufflinks.

2021-04-30 | GSE162254 | GEO

Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation [Amplicon-seq]

Project description:Customized pooled RNA Binding Protein (RBP) CRISPR libraries were applied to macrophage cell line Raw 264.7 cells to identify RBPs that are critical for LPS activated TNFa production.sgRNAs that enriched in TNFa-low, TNFa-High and pre-sort populations were sequenced and significant enriched genes were retrieved with MAGeCK test subcommand.

2021-04-30 | GSE162469 | GEO

Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation [RNA-seq]

Project description:The involvement of m6A modification in macrophage activation has been validated in our study that the expression of TNF-α in Mettl3-depleted Raw 264.7 cells stimulated with LPS were markedly reduced in comparison to control cells. To further explore the biological effects of m6A deficiency macrophages, we performed RNA sequencing analysis of Mettl3-KO and WT control Raw 264.7 cells upon LPS treatment. The GO enrichment analysis documented that the downregulated transcripts in Mettl3-KO Raw 264.7 cells were enriched in innate immune response related to defense and external stimulus. Notably, transcripts of the downstream components of the TLR4 signaling pathway, such as proinflammatory cytokines (Tnf-α, Il-6, Il-1β, Il-18,and Il-23) and co-stimulation molecules (Cd86), were downregulated in Mettl3-deficient cells, suggesting that METTL3 has a critical function in controlling the innate immune response of Raw 264.7 macrophages.

2021-04-30 | GSE162248 | GEO

Pooled CRISPR Screening Identifies m6A as a Positive Regulator of Macrophage Activation

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-04-30 | GSE162255 | GEO

Pooled CRISPR screening identifies m<sup>6</sup>A as a positive regulator of macrophage activation.

Project description: Not available

| S-EPMC8081357 | biostudies-literature

Pooled CRISPR screening with single-cell transcriptome read-out

Project description:Pooled CRISPR screening with single-cell transcriptome read-out

| PRJNA358686 | ENA

Pooled CRISPR screening with single-cell transcriptome read-out

Project description:We combined CRISPR genome editing with single-cell RNA sequencing to assess complex phenotypes in pooled cellular screens. Our method for CRISPR droplet sequencing (CROP-seq) comprises four key components: a gRNA vector that makes individual gRNAs detectable in single-cell transcriptomes, a high-throughput assay for single-cell RNA-seq, a computational pipeline for assigning single-cell transcriptomes to gRNAs, and a bioinformatic method for analyzing and interpreting gRNA-induced transcriptional profiles. CROP-seq allowed us to link gRNA expression to the associated transcriptome responses in thousands of single cells using a straightforward and broadly applicable screening workflow. Additional information are available from the CROP-seq website http://crop-seq.computational-epigenetics.org

2017-01-18 | GSE92872 | GEO

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