crispra screening Search Results


crispra screen dataset  (10X Genomics)
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10X Genomics crispra screen dataset
A <t>CRISPRa</t> Screen for ZGA-like Regulators at Single-Cell Resolution (A) Schematic overview of the single-cell CRISPRa screen, highlighting the selection of candidates, lentiviral transduction strategy, and generation <t>of</t> <t>10x</t> Genomics 3′ scRNA-seq libraries and barcoded sgRNA amplicon libraries. (B) Dot-plot showing normalized expression levels (log 2 reads per million; RPM) of the screening candidates in oocytes, zygotes, two-cell, and four-cell embryos. Data analyzed from <xref ref-type=Xue et al. (2013) . (C) Number of cells expressing a unique sgRNA (blue), two sgRNAs (dark gray), more than two sgRNAs (light gray), or none (pink) in each of the three transduction replicates. The number of cells assigned to a unique sgRNA in each replicate is displayed. (D) Genes ranked by the loadings of PC1 (left) and PC2 (right), highlighting in red previously know ZGA genes (as described in ; see also for gene loading values). (E) PC analysis displaying a scatterplot of the first two PCs (PC1 versus PC2) with cells colored by the expression of the ZGA markers Zscan4c , Zscan4d , Gm8300, and Tmem92 . Marginal distributions of PC1 and PC2 values are displayed as rug plots along the respective axis. (F) Box-whisker plots showing normalized expression levels (log 2 reads per million; RPM) for the top 50 loadings for PC1 (gray) and PC2 (light blue) during preimplantation development (data analyzed from Deng et al., 2014 ) (see for gene loadings). As expected in serum-grown ESCs, PC1 loadings peak at blastocyst stages whereas PC2 loadings peak at mid-to-late two-cell embryo stages, identifying this component as ZGA-like. " width="250" height="auto" />
Crispra Screen Dataset, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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crispra screen dataset - by Bioz Stars, 2026-10
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A CRISPRa Screen for ZGA-like Regulators at Single-Cell Resolution (A) Schematic overview of the single-cell CRISPRa screen, highlighting the selection of candidates, lentiviral transduction strategy, and generation of 10x Genomics 3′ scRNA-seq libraries and barcoded sgRNA amplicon libraries. (B) Dot-plot showing normalized expression levels (log 2 reads per million; RPM) of the screening candidates in oocytes, zygotes, two-cell, and four-cell embryos. Data analyzed from <xref ref-type=Xue et al. (2013) . (C) Number of cells expressing a unique sgRNA (blue), two sgRNAs (dark gray), more than two sgRNAs (light gray), or none (pink) in each of the three transduction replicates. The number of cells assigned to a unique sgRNA in each replicate is displayed. (D) Genes ranked by the loadings of PC1 (left) and PC2 (right), highlighting in red previously know ZGA genes (as described in ; see also for gene loading values). (E) PC analysis displaying a scatterplot of the first two PCs (PC1 versus PC2) with cells colored by the expression of the ZGA markers Zscan4c , Zscan4d , Gm8300, and Tmem92 . Marginal distributions of PC1 and PC2 values are displayed as rug plots along the respective axis. (F) Box-whisker plots showing normalized expression levels (log 2 reads per million; RPM) for the top 50 loadings for PC1 (gray) and PC2 (light blue) during preimplantation development (data analyzed from Deng et al., 2014 ) (see for gene loadings). As expected in serum-grown ESCs, PC1 loadings peak at blastocyst stages whereas PC2 loadings peak at mid-to-late two-cell embryo stages, identifying this component as ZGA-like. " width="100%" height="100%">

Journal: Cell Systems

Article Title: A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation Program

doi: 10.1016/j.cels.2020.06.004

Figure Lengend Snippet: A CRISPRa Screen for ZGA-like Regulators at Single-Cell Resolution (A) Schematic overview of the single-cell CRISPRa screen, highlighting the selection of candidates, lentiviral transduction strategy, and generation of 10x Genomics 3′ scRNA-seq libraries and barcoded sgRNA amplicon libraries. (B) Dot-plot showing normalized expression levels (log 2 reads per million; RPM) of the screening candidates in oocytes, zygotes, two-cell, and four-cell embryos. Data analyzed from Xue et al. (2013) . (C) Number of cells expressing a unique sgRNA (blue), two sgRNAs (dark gray), more than two sgRNAs (light gray), or none (pink) in each of the three transduction replicates. The number of cells assigned to a unique sgRNA in each replicate is displayed. (D) Genes ranked by the loadings of PC1 (left) and PC2 (right), highlighting in red previously know ZGA genes (as described in ; see also for gene loading values). (E) PC analysis displaying a scatterplot of the first two PCs (PC1 versus PC2) with cells colored by the expression of the ZGA markers Zscan4c , Zscan4d , Gm8300, and Tmem92 . Marginal distributions of PC1 and PC2 values are displayed as rug plots along the respective axis. (F) Box-whisker plots showing normalized expression levels (log 2 reads per million; RPM) for the top 50 loadings for PC1 (gray) and PC2 (light blue) during preimplantation development (data analyzed from Deng et al., 2014 ) (see for gene loadings). As expected in serum-grown ESCs, PC1 loadings peak at blastocyst stages whereas PC2 loadings peak at mid-to-late two-cell embryo stages, identifying this component as ZGA-like.

Article Snippet: - GSE135621 ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE135621 ): 10X Genomics CRISPRa screen dataset.

Techniques: Selection, Transduction, Amplification, Expressing, Whisker Assay

Journal: Cell Systems

Article Title: A Single-Cell Transcriptomics CRISPR-Activation Screen Identifies Epigenetic Regulators of the Zygotic Genome Activation Program

doi: 10.1016/j.cels.2020.06.004

Figure Lengend Snippet:

Article Snippet: - GSE135621 ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE135621 ): 10X Genomics CRISPRa screen dataset.

Techniques: Virus, Clone Assay, Recombinant, Transfection, Multiplex Assay, Sequencing, Over Expression, Amplification, Plasmid Preparation, Software