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Broad Institute Inc avana library sgrna sequences
Avana Library Sgrna Sequences, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Broad Institute Inc avana library (broad depmap, 2020b)
False negative genes in essential protein complexes. Binary essentiality calls of essential protein complexes among colorectal cancer cell lines in the <t>Avana</t> data based on BAGEL derived essentiality scores. Dark blue color indicates essentiality (BF ≥ 10) and white color indicates non-essentiality (BF < 10). ( A ) Binary essentiality calls of members of 26S proteosome complex. ( B ) Binary essentiality calls of members of COP9 signalosome complex among colorectal cancer cell lines in the Avana data based on BAGEL derived essentiality scores. The relationship between screen quality ( F -measure) and the number of non- essential hits within essential protein complexes. Boxplots showing the distribution of F -measures of screens versus the number of times a non-essential call was made among members of proteosome complex ( C ) and COPS9 signalosome complex ( D ). MCM complex is an example of <t>a</t> <t>CRISPR-library</t> specific false negative. While some members of the MCM complex cannot be captured as essential in multiple colorectal screens in the Avana dataset ( E ), the complex shows more uniform essentiality in Sanger colorectal cell lines ( F ).
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Broad Institute Inc avana library
<t>Epigenetic</t> <t>CRISPR</t> screen identifies BAF complex as a novel dependency in pediatric H3K27M glioma. A, Schematic of epigenetic-focused CRISPR/Cas9-negative selection screen conducted in one H3WT-glioma and four H3.3K27M-glioma neurosphere models. B, ssGSEA of top-scoring protein complexes in four H3.3K27M-glioma models using Chronos and CERES dependency scores. C, Mean difference in ssGSEA complex scores (more negative scores indicate selective dependencies) for BAF, PRC1, PRC2, and HDAC-containing complexes in four H3.3K27M-glioma models compared with 855 human adult and pediatric cancer cell lines in the DepMap (Broad Institute). D, Mean difference in ssGSEA complex scores for BAF, PRC1, PRC2, and HDAC-containing complexes in four H3.3K27M-glioma models compared with 60 adult and pediatric brain cancer cell lines in the DepMap (Broad Institute). E, Relative cell viability across three H3.3K27M-glioma neurosphere lines following single-gene CRISPR/Cas9-mediated knockout of BAF complex genes (normalized to AAVS1 -negative sgRNA control, n = 3). Three bars are shown per gene to indicate three individual <t>sgRNAs</t> used for knockout (sgRNA sequences are provided in Supplementary Table S5). Data are shown as mean ± SEM; ****, P < 0.0001; **, P = 0.0065. F, Dependency scores (CERES) for SMARCA4 in four H3.3K27M-glioma models compared with 23 other cancer types reported in the DepMap (Broad Institute). The median is indicated by the red dashed line, and quartiles are shown in dotted lines. Types of cancer models are displayed in descending order from least sensitive to knockout to the most sensitive (most negative median CERES score).
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<t>Epigenetic</t> <t>CRISPR</t> screen identifies BAF complex as a novel dependency in pediatric H3K27M glioma. A, Schematic of epigenetic-focused CRISPR/Cas9-negative selection screen conducted in one H3WT-glioma and four H3.3K27M-glioma neurosphere models. B, ssGSEA of top-scoring protein complexes in four H3.3K27M-glioma models using Chronos and CERES dependency scores. C, Mean difference in ssGSEA complex scores (more negative scores indicate selective dependencies) for BAF, PRC1, PRC2, and HDAC-containing complexes in four H3.3K27M-glioma models compared with 855 human adult and pediatric cancer cell lines in the DepMap (Broad Institute). D, Mean difference in ssGSEA complex scores for BAF, PRC1, PRC2, and HDAC-containing complexes in four H3.3K27M-glioma models compared with 60 adult and pediatric brain cancer cell lines in the DepMap (Broad Institute). E, Relative cell viability across three H3.3K27M-glioma neurosphere lines following single-gene CRISPR/Cas9-mediated knockout of BAF complex genes (normalized to AAVS1 -negative sgRNA control, n = 3). Three bars are shown per gene to indicate three individual <t>sgRNAs</t> used for knockout (sgRNA sequences are provided in Supplementary Table S5). Data are shown as mean ± SEM; ****, P < 0.0001; **, P = 0.0065. F, Dependency scores (CERES) for SMARCA4 in four H3.3K27M-glioma models compared with 23 other cancer types reported in the DepMap (Broad Institute). The median is indicated by the red dashed line, and quartiles are shown in dotted lines. Types of cancer models are displayed in descending order from least sensitive to knockout to the most sensitive (most negative median CERES score).
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False negative genes in essential protein complexes. Binary essentiality calls of essential protein complexes among colorectal cancer cell lines in the Avana data based on BAGEL derived essentiality scores. Dark blue color indicates essentiality (BF ≥ 10) and white color indicates non-essentiality (BF < 10). ( A ) Binary essentiality calls of members of 26S proteosome complex. ( B ) Binary essentiality calls of members of COP9 signalosome complex among colorectal cancer cell lines in the Avana data based on BAGEL derived essentiality scores. The relationship between screen quality ( F -measure) and the number of non- essential hits within essential protein complexes. Boxplots showing the distribution of F -measures of screens versus the number of times a non-essential call was made among members of proteosome complex ( C ) and COPS9 signalosome complex ( D ). MCM complex is an example of a CRISPR-library specific false negative. While some members of the MCM complex cannot be captured as essential in multiple colorectal screens in the Avana dataset ( E ), the complex shows more uniform essentiality in Sanger colorectal cell lines ( F ).

Journal: Nucleic Acids Research

Article Title: Recovering false negatives in CRISPR fitness screens with JLOE

doi: 10.1093/nar/gkad046

Figure Lengend Snippet: False negative genes in essential protein complexes. Binary essentiality calls of essential protein complexes among colorectal cancer cell lines in the Avana data based on BAGEL derived essentiality scores. Dark blue color indicates essentiality (BF ≥ 10) and white color indicates non-essentiality (BF < 10). ( A ) Binary essentiality calls of members of 26S proteosome complex. ( B ) Binary essentiality calls of members of COP9 signalosome complex among colorectal cancer cell lines in the Avana data based on BAGEL derived essentiality scores. The relationship between screen quality ( F -measure) and the number of non- essential hits within essential protein complexes. Boxplots showing the distribution of F -measures of screens versus the number of times a non-essential call was made among members of proteosome complex ( C ) and COPS9 signalosome complex ( D ). MCM complex is an example of a CRISPR-library specific false negative. While some members of the MCM complex cannot be captured as essential in multiple colorectal screens in the Avana dataset ( E ), the complex shows more uniform essentiality in Sanger colorectal cell lines ( F ).

Article Snippet: The raw read count file of genome-wide CRISPR pooled library screens for 769 cell lines using Avana library (Broad DepMap, 2020b; Meyers et al. , 2017) (Broad Institute's DepMap Project 20Q2 release) was downloaded from the data depository at https://depmap.org/portal/ .

Techniques: Derivative Assay, CRISPR

JLOE approach identifies more essential genes in Avana genome-wide CRISPR-Cas9 knockout screens compared to saturation modeling approach. ( A ) Schematic description of JLOE method. ( B ) Comparison of the frequency of essential gene hits in saturation modeling versus JLOE. ( C ) Comparison of violin plots showing the distribution of the essentiality scores (Bayes Factor, BFs) of the hits in (A), in the screens where they were not observed as essential. JLOE can rescue the false negatives with a less significant increase in false positives compared to assigning binary calls using a lower BF threshold. ( D ) The number of essential gene hits using different thresholds (binary calls with BF 10, binary calls with BF 5 and mean binary call of 1 with JLOE across 100 iterations. ( E ) The number of false positive genes detected across colorectal cancer cell lines in the Avana data using same thresholds in (D). P -value annotation from t -test ind. samples with Bonferroni correction legend as follows; ns: 0.05 < P , *: 0.01 < P ≤ 0.05, **: 0.001 < P ≤ 0.01, ***: 0.0001 < P ≤ 0.001.

Journal: Nucleic Acids Research

Article Title: Recovering false negatives in CRISPR fitness screens with JLOE

doi: 10.1093/nar/gkad046

Figure Lengend Snippet: JLOE approach identifies more essential genes in Avana genome-wide CRISPR-Cas9 knockout screens compared to saturation modeling approach. ( A ) Schematic description of JLOE method. ( B ) Comparison of the frequency of essential gene hits in saturation modeling versus JLOE. ( C ) Comparison of violin plots showing the distribution of the essentiality scores (Bayes Factor, BFs) of the hits in (A), in the screens where they were not observed as essential. JLOE can rescue the false negatives with a less significant increase in false positives compared to assigning binary calls using a lower BF threshold. ( D ) The number of essential gene hits using different thresholds (binary calls with BF 10, binary calls with BF 5 and mean binary call of 1 with JLOE across 100 iterations. ( E ) The number of false positive genes detected across colorectal cancer cell lines in the Avana data using same thresholds in (D). P -value annotation from t -test ind. samples with Bonferroni correction legend as follows; ns: 0.05 < P , *: 0.01 < P ≤ 0.05, **: 0.001 < P ≤ 0.01, ***: 0.0001 < P ≤ 0.001.

Article Snippet: The raw read count file of genome-wide CRISPR pooled library screens for 769 cell lines using Avana library (Broad DepMap, 2020b; Meyers et al. , 2017) (Broad Institute's DepMap Project 20Q2 release) was downloaded from the data depository at https://depmap.org/portal/ .

Techniques: Genome Wide, CRISPR, Knock-Out, Comparison

Epigenetic CRISPR screen identifies BAF complex as a novel dependency in pediatric H3K27M glioma. A, Schematic of epigenetic-focused CRISPR/Cas9-negative selection screen conducted in one H3WT-glioma and four H3.3K27M-glioma neurosphere models. B, ssGSEA of top-scoring protein complexes in four H3.3K27M-glioma models using Chronos and CERES dependency scores. C, Mean difference in ssGSEA complex scores (more negative scores indicate selective dependencies) for BAF, PRC1, PRC2, and HDAC-containing complexes in four H3.3K27M-glioma models compared with 855 human adult and pediatric cancer cell lines in the DepMap (Broad Institute). D, Mean difference in ssGSEA complex scores for BAF, PRC1, PRC2, and HDAC-containing complexes in four H3.3K27M-glioma models compared with 60 adult and pediatric brain cancer cell lines in the DepMap (Broad Institute). E, Relative cell viability across three H3.3K27M-glioma neurosphere lines following single-gene CRISPR/Cas9-mediated knockout of BAF complex genes (normalized to AAVS1 -negative sgRNA control, n = 3). Three bars are shown per gene to indicate three individual sgRNAs used for knockout (sgRNA sequences are provided in Supplementary Table S5). Data are shown as mean ± SEM; ****, P < 0.0001; **, P = 0.0065. F, Dependency scores (CERES) for SMARCA4 in four H3.3K27M-glioma models compared with 23 other cancer types reported in the DepMap (Broad Institute). The median is indicated by the red dashed line, and quartiles are shown in dotted lines. Types of cancer models are displayed in descending order from least sensitive to knockout to the most sensitive (most negative median CERES score).

Journal: Cancer Discovery

Article Title: BAF Complex Maintains Glioma Stem Cells in Pediatric H3K27M Glioma

doi: 10.1158/2159-8290.CD-21-1491

Figure Lengend Snippet: Epigenetic CRISPR screen identifies BAF complex as a novel dependency in pediatric H3K27M glioma. A, Schematic of epigenetic-focused CRISPR/Cas9-negative selection screen conducted in one H3WT-glioma and four H3.3K27M-glioma neurosphere models. B, ssGSEA of top-scoring protein complexes in four H3.3K27M-glioma models using Chronos and CERES dependency scores. C, Mean difference in ssGSEA complex scores (more negative scores indicate selective dependencies) for BAF, PRC1, PRC2, and HDAC-containing complexes in four H3.3K27M-glioma models compared with 855 human adult and pediatric cancer cell lines in the DepMap (Broad Institute). D, Mean difference in ssGSEA complex scores for BAF, PRC1, PRC2, and HDAC-containing complexes in four H3.3K27M-glioma models compared with 60 adult and pediatric brain cancer cell lines in the DepMap (Broad Institute). E, Relative cell viability across three H3.3K27M-glioma neurosphere lines following single-gene CRISPR/Cas9-mediated knockout of BAF complex genes (normalized to AAVS1 -negative sgRNA control, n = 3). Three bars are shown per gene to indicate three individual sgRNAs used for knockout (sgRNA sequences are provided in Supplementary Table S5). Data are shown as mean ± SEM; ****, P < 0.0001; **, P = 0.0065. F, Dependency scores (CERES) for SMARCA4 in four H3.3K27M-glioma models compared with 23 other cancer types reported in the DepMap (Broad Institute). The median is indicated by the red dashed line, and quartiles are shown in dotted lines. Types of cancer models are displayed in descending order from least sensitive to knockout to the most sensitive (most negative median CERES score).

Article Snippet: The epigenetically focused CRISPR library targeted 1,350 genes, and six different sgRNAs (Avana library, Broad Institute) were used to target each gene (total of 9,100 sgRNAs).

Techniques: CRISPR, Selection, Knock-Out, Control