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blood brain paired whole exome sequencing data sets  (Broad Clinical Labs)


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    Broad Clinical Labs blood brain paired whole exome sequencing data sets
    Blood Brain Paired Whole Exome Sequencing Data Sets, supplied by Broad Clinical Labs, used in various techniques. Bioz Stars score: 95/100, based on 308 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/transcriptomics+data+sets/Whole+Exome+Sequencing/us12453733-380-8-23
    Average 95 stars, based on 308 article reviews
    blood brain paired whole exome sequencing data sets - by Bioz Stars, 2026-09
    95/100 stars

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    Related Articles

    Sequencing:

    Article Title: Eosinophilic Biliary Cystic Neoplasm of the Liver: A Case Report of an Unrecognized Subtype of Intrahepatic Biliary Neoplasm
    Article Snippet: .. To characterize genomic alterations, whole‐exome sequencing (WES) and RNA sequencing were performed: somatic variants were identified using MuTect2 (GATK, Broad Institute) and annotated with ANNOVAR (Data ). ..

    Article Title: A homozygous nonsense variant in the oligosaccharyltransferase complex gene, RPN1 , causes a congenital disorder of glycosylation
    Article Snippet: .. Whole-exome sequencing (WES) was performed at the Broad Institute using an Agilent Sure-Select Human All Exon v.2.0 capture kit and sequenced on an Illumina HiSeq2000 sequencer. ..

    Article Title: A Homozygous Nonsense Variant in the Oligosaccharyltransferase Complex Gene, RPN1, Causes a Congenital Disorder of Glycosylation.
    Article Snippet: .. Whole exome sequencing was performed at the Broad Institute using an Agilent Sure-Select Human All Exon v2.0 capture kit and sequenced on an Illumina HiSeq2000 sequencer. ..

    RNA Sequencing:

    Article Title: Eosinophilic Biliary Cystic Neoplasm of the Liver: A Case Report of an Unrecognized Subtype of Intrahepatic Biliary Neoplasm
    Article Snippet: .. To characterize genomic alterations, whole‐exome sequencing (WES) and RNA sequencing were performed: somatic variants were identified using MuTect2 (GATK, Broad Institute) and annotated with ANNOVAR (Data ). ..

    other:

    Article Title: Early differential impact of MeCP2 mutations on functional networks in Rett syndrome patient-derived human cortical organoids.
    Article Snippet: Another Rett syndrome patient-derived hiPS cell line, which carries the heterozygous MECP2[R306C] mutation (female, 8Y, missense; 4–7% of RTT patients), and its isogenic control was obtained from the Coriell Institute (WIC05i-127-325(MT) and WIC04i-12733(WT)).



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    Single-nucleus transcriptome and spatial <t>transcriptomics</t> landscape of the ileal tissue of SAP and CON group rats. (A) Schematic illustration of the workflow for this study. (B) Representative Hematoxylin and Eosin (H&E)–stained ileal sections from CON and SAP rats. (C) UMAP plot of single-nucleus transcriptome profiles of SAP and CON group samples. Colors indicate groups, clusters and cell types. (D) Heatmap plot of marker genes for cell annotation. (E) Bar plot showing cell-type proportions (mean ± SEM) in snRNA-seq data. (F) Spatial transcriptomics profiles of SAP and CON group samples. Colors indicate cell types. (G) Bar plot showing cell-type proportions (mean ± SEM) in spatial transcriptomics (Stereo-seq) data. Statistical significance: ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.
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    Single-nucleus transcriptome and spatial transcriptomics landscape of the ileal tissue of SAP and CON group rats. (A) Schematic illustration of the workflow for this study. (B) Representative Hematoxylin and Eosin (H&E)–stained ileal sections from CON and SAP rats. (C) UMAP plot of single-nucleus transcriptome profiles of SAP and CON group samples. Colors indicate groups, clusters and cell types. (D) Heatmap plot of marker genes for cell annotation. (E) Bar plot showing cell-type proportions (mean ± SEM) in snRNA-seq data. (F) Spatial transcriptomics profiles of SAP and CON group samples. Colors indicate cell types. (G) Bar plot showing cell-type proportions (mean ± SEM) in spatial transcriptomics (Stereo-seq) data. Statistical significance: ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

    Journal: Frontiers in Immunology

    Article Title: Single-nucleus and spatial transcriptomics reveal intestinal cellular heterogeneity, differentiation, and cell communication mechanisms in SAP-induced intestinal injury

    doi: 10.3389/fimmu.2026.1719902

    Figure Lengend Snippet: Single-nucleus transcriptome and spatial transcriptomics landscape of the ileal tissue of SAP and CON group rats. (A) Schematic illustration of the workflow for this study. (B) Representative Hematoxylin and Eosin (H&E)–stained ileal sections from CON and SAP rats. (C) UMAP plot of single-nucleus transcriptome profiles of SAP and CON group samples. Colors indicate groups, clusters and cell types. (D) Heatmap plot of marker genes for cell annotation. (E) Bar plot showing cell-type proportions (mean ± SEM) in snRNA-seq data. (F) Spatial transcriptomics profiles of SAP and CON group samples. Colors indicate cell types. (G) Bar plot showing cell-type proportions (mean ± SEM) in spatial transcriptomics (Stereo-seq) data. Statistical significance: ns, not significant; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

    Article Snippet: The spatial transcriptomics data were obtained according to the protocol of STOmics Gene Expression Set-S1 on the website ( https://www.stomics.tech/ ), which is an improved version of initial procedures.

    Techniques: Spatial Transcriptomics, Staining, Marker