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data mouse rna sequencing data  (ATCC)


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    ATCC data mouse rna sequencing data
    Data Mouse Rna Sequencing Data, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 570 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/data mouse rna sequencing data/product/ATCC
    Average 95 stars, based on 570 article reviews
    data mouse rna sequencing data - by Bioz Stars, 2026-06
    95/100 stars

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    10X Genomics mouse cortical single cell rna sequencing scrna seq data
    (A) Schematics of the in vivo Perturb-Seq platform, which introduces mutations in individual genes in utero at E12.5, followed by transcriptomic profiling of the cellular progeny of these perturbed cells at P7 via single-cell <t>RNA</t> <t>sequencing</t> (scRNA-seq). (B) tSNE of five major cell populations identified in the Perturb-Seq cells. (C) In vivo Perturb-Seq lentiviral vector carrying an mCherry reporter drives detectable expression within 24h, and can sparsely infect brain cells across many brain regions. Scale bar is 1000μm. (D) Cell-type analysis of in vivo Perturb-Seq of ASD/ND de novo risk genes. Canonical marker genes were used to identify major cell clusters (left), and cell-type distribution in each perturbation group (right). Negative control (GFP) is highlighted by a black rectangle. (E) tSNEs showing the subclusters of each of the five major cell types, identified by re-clustering each cell type separately.
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    (A) Schematics of the in vivo Perturb-Seq platform, which introduces mutations in individual genes in utero at E12.5, followed by transcriptomic profiling of the cellular progeny of these perturbed cells at P7 via single-cell RNA sequencing (scRNA-seq). (B) tSNE of five major cell populations identified in the Perturb-Seq cells. (C) In vivo Perturb-Seq lentiviral vector carrying an mCherry reporter drives detectable expression within 24h, and can sparsely infect brain cells across many brain regions. Scale bar is 1000μm. (D) Cell-type analysis of in vivo Perturb-Seq of ASD/ND de novo risk genes. Canonical marker genes were used to identify major cell clusters (left), and cell-type distribution in each perturbation group (right). Negative control (GFP) is highlighted by a black rectangle. (E) tSNEs showing the subclusters of each of the five major cell types, identified by re-clustering each cell type separately.

    Journal: Science (New York, N.Y.)

    Article Title: In vivo Perturb-Seq reveals neuronal and glial abnormalities associated with autism risk genes

    doi: 10.1126/science.aaz6063

    Figure Lengend Snippet: (A) Schematics of the in vivo Perturb-Seq platform, which introduces mutations in individual genes in utero at E12.5, followed by transcriptomic profiling of the cellular progeny of these perturbed cells at P7 via single-cell RNA sequencing (scRNA-seq). (B) tSNE of five major cell populations identified in the Perturb-Seq cells. (C) In vivo Perturb-Seq lentiviral vector carrying an mCherry reporter drives detectable expression within 24h, and can sparsely infect brain cells across many brain regions. Scale bar is 1000μm. (D) Cell-type analysis of in vivo Perturb-Seq of ASD/ND de novo risk genes. Canonical marker genes were used to identify major cell clusters (left), and cell-type distribution in each perturbation group (right). Negative control (GFP) is highlighted by a black rectangle. (E) tSNEs showing the subclusters of each of the five major cell types, identified by re-clustering each cell type separately.

    Article Snippet: Based on mouse cortical single-cell RNA sequencing (scRNA-seq) data, the orthologs of these ASD/ND risk genes are expressed in diverse cell types ( fig. S2 ) (E18.5 data from the 10x Genomics public dataset ( 10 ); P7 data from this work).

    Techniques: In Vivo, In Utero, RNA Sequencing, Plasmid Preparation, Expressing, Marker, Negative Control