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• Comprehensive molecular phenotyping of ARID1A-deficient gastric cancer reveals pervasive epigenomic reprogramming and therapeutic opportunities

  This dataset includes paired tumor-blood whole exome sequencing data for 209 gastric cancer (GC) patients, along with whole transcriptome sequencing data for 125 GC samples. Whole exome sequencing was conducted using Agilent SureSelect Human All Exon V6 kits. For RNA sequencing, total RNA was isolated using the RNeasy Mini Kit, and libraries were prepared with the TruSeq Stranded Total RNA with Ribo-Zero Gold protocol (Illumina). Aligned BAM files for both exome and RNAseq data are included in this dataset.

  Dataset EGAD50000000660

• BELLINI clinical trial single-cell RNA-Seq and TCR data: cohorts A & B

  Single-cell RNA-Seq data and TCR sequencing data (both by 10X Genomics) of 51 TNBC primary tumors obtained from 29 unique patients from BELLINI clinical trial. The data includes pre- and post-treatment samples. Patients in cohort A (16 patients, 28 samples) received nivolumab for 4 weeks, patients in cohort B (13 patients, 23 samples) received nivolumab + ipilimumab for 4 weeks. The included sequencing data was generated from frozen material for cohort A and from fresh material for cohort B.

  Dataset EGAD50000000807

• ChIP-seq and 4C-seq datasets in megakaryocytes and granulocytes from individuals with QPD and unaffected controls

  ChIP-seq was performed for the following histone modifications in both megakaryocytes and granulocytes: H3K27ac, H3K4me2, and H3K36me3. ChIP-seq was performed for H3K27me3 and CTCF in megakaryocytes only. All ChIP experiments consist of n=3 replicates for each of QPD and Control, with the exception of control granulocyte H3K4me2 for which only n=2 replicates were performed. 4C-seq datasets consist of 2 viewpoints (PLAU promoter and an intergenic enhancer), profiled in megakaryocytes from n=2 controls and n=4 QPD.

  Dataset EGAD00001006048

• Dataset for manuscript titled: Spatial Intra-Tumour Heterogeneity and Treatment-Induced Genomic Evolution in Oesophageal Adenocarcinoma: Implications for Prognosis and Therapy

  Dataset for manuscript titled: Spatial Intra-Tumour Heterogeneity and Treatment-Induced Genomic Evolution in Oesophageal Adenocarcinoma: Implications for Prognosis and Therapy

  Dataset EGAD00001015373

• SGCC GASCAD-II dataset

  The GASCAD-II dataset from the Singapore Gastric Cancer Consortium includes paired tumor-blood whole exome sequencing data for 209 gastric cancer (GC) patients, along with whole transcriptome sequencing data for 125 GC samples. Whole exome sequencing was conducted using Agilent SureSelect Human All Exon V6 kits. For RNA sequencing, total RNA was isolated using the RNeasy Mini Kit, and libraries were prepared with the TruSeq Stranded Total RNA with Ribo-Zero Gold protocol (Illumina). Aligned BAM files for both exome and RNAseq data are included in this dataset

  Dataset EGAD00001015433

• Bulk 3' mRNA-Seq of dome and suspension tubuloids

  Bulk 3' mRNA-sequencing of human kidney tubuloids grown in dome and suspension culture for the identification of transcriptional differences associated with culture method, passage, and donor. Tubuloids were generated from 4 separate donors and collected for sequencing at day 7 of passage 3, 4, and 5 in dome and suspension culture.

  Study EGAS50000001629

• Dataset for whole exome sequencing of 49 tumor-blood pairs and transcriptome sequencing of 44 tumors for adrenocortical tumors

  Dataset for whole exome sequencing of 49 tumor-blood pairs and transcriptome sequencing of 44 tumors for adrenocortical tumors

  Dataset EGAD00001000810

• Genotyping NIGMS Chromosomal Aberration and Inherited Disorder Samples

  As part of an effort to correlate molecular copy number variation determinations with state of the art karyotype analyses, 716 samples derived from 697 individuals from the Chromosomal Aberrations and Inherited Disorders collections of the NIGMS Human Genetic Cell Repository were genotyped and analyzed for CNV determination by the Microarray Center at the Coriell Institute for Medical Research. Karyotyping is performed on all cell cultures in the Repository with reported chromosome abnormalities. The samples chosen for genotyping in this study are intended to represent a diverse set of copy number variants, but the selection was also weighted to over-sample commonly manifested types of aberrations. When available, the ISCN description of the sample based on G-banding and FISH analysis is included in the phenotypic data. Karyotypes for these cells can be viewed in the online Repository catalog (http://ccr.coriell.org/Sections/Collections/NIGMS/?SsId=8).

  Study phs000269

• Validation of Gene Array to Predict Bacterial Co-infection In Adults Hospitalized with Viral Lower Respiratory Tract Infections (LRTI)

  Accurate tests for microbiologic diagnosis of lower respiratory tract infections (LRTI) are needed. Gene expression profiling of whole blood represents a powerful new approach for analysis of the host response during respiratory infection that can be used to supplement pathogen detection testing. Using qPCR, we prospectively validated the differential expression of 10 genes previously shown to discriminate bacterial and non-bacterial LRTI confirming the utility of this approach. In addition, a novel approach using RNAseq analysis identified 141 genes differentially expressed in LRTI subjects with bacterial infection. Using "pathway-informed" dimension reduction, we identified a novel 11 gene set (selected from lymphocyte, α-linoleic acid metabolism, and IGF regulation pathways) and demonstrated a predictive accuracy for bacterial LRTI (nested CV-AUC=0.87). RNAseq represents a new and an unbiased tool to evaluate host gene expression for the diagnosis of LRTI.

  Study phs001248

• The CHOP Pediatric Genetic Sequencing (PediSeq) Project : Applying Genomic Sequencing in Pediatrics

  The purpose of this research study is to learn more about newer types of genetic testing called whole exome sequencing and whole genome sequencing. Current genetic testing usually examines one gene or a few genes at a time. Exome and genome sequencing allow us to test most of a person's genes at one time with a single test. This testing might identify the reason for a person's unexplained condition or diagnosis. We hope this study will help us identify the best methods for: Educating patients and families about exome and genome sequencing Analyzing exome and genome sequencing data to identify results relevant to patients Giving results to families in a clear, appropriate, and informative manner The current data only includes WES for 159 samples. The WGS samples for 20 samples will be uploaded in the near future.

  Study phs000935