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• ChIP-seq data of H3K4me3, H3K27ac and H3K27me3 on multiple human embryonic tissues.

  The regulatory landscape of the human genome during organogenesis is undescribed for most tissues. We used ChIP-seq to survey histone modifications in 13 human embryonic tissues. We describe patterns of both common and tissue-specific marking of promoter activation and repression and use enhancer usage to infer regulatory pathways.

  Study EGAS00001003163

• Whole-Exome Sequences from Imazighen and non-Imazghen from Tunisia

  Study of high-coverage whole-exome sequences from Amazigh (Tamazight-speakers) and non-Amazigh individuals (Arab-speakers) from Tunisia to analyze the impact of demography in functional genomic variation in the complex demographic context of North Africa. Amazigh individuals were sampled in Chenini and Douiret, and non-Amazigh individuals were sampled in Tunis.

  Study EGAS00001005205

• The gut microbiota in prediabetes and diabetes: a population-based cross-sectional study

  The link between the gut microbiota and type 2 diabetes (T2D) warrants further investigation because of known confounding effects from antidiabetic treatment. Here we profiled the gut microbiome in a discovery (n=1011) and validation (n=484) cohort comprising Swedish subjects naive for diabetes treatment and grouped by glycemic status.

  Study EGAS00001004480

• Hydroxycarbamide effect on DNA methylation and gene expression in MPN patients

  Hydroxycarbamide (HC), is a cytoreductive drug frequently used to control cell blood counts in patients with myeloproliferative neoplasms (MPNs).To further explore the effects of HC in MPN patients, we performed DNA methylation and gene expression profiling of two differentially developed and clinically relevant cell types, both before and following HC exposure.

  Study EGAS00001004583

• Single-cell RNA-sequencing of CSF cells and PBMCs from individuals with neurological disorders

  We undertook single-cell RNA sequencing to establish gene expression and lymphocyte receptor sequences of CSF and peripheral blood leukocytes derived from patients with a variety of inflammatory, infectious and non-inflammatory neurological disorders. The aim of the study was the investigation of functional changes of the cells involved in neuroinflammatory responses.

  Study EGAS00001007954

• Effect of ETS2 modulation on chromatin accessibility and enhancer activity in inflammatory (TPP) macrophages

  This dataset consists of H3K27ac ChIP-seq and ATAC-seq in primary human macrophages following modulation of ETS2 expression. There are three datasets: H3K27ac ChIP-seq in ETS2-edited and unedited inflammatory (TPP) macrophages, H3K27ac ChIP-seq in ETS2-overexpressing and control M0 macrophages, and ATAC-seq in ETS2-edited and unedited inflammatory macrophages. For editing experiments, monocytes were transfected with CRISPR-Cas9 ribonucleoproteins containing a gRNA that was validated to edit ETS2, or a non-targeting control gRNA. Inflammatory macrophage differentiation was performed using conditions that model chronic inflammation (TPP): 3 days GM-CSF (50ng/mL) followed by 3 days GM-CSF, TNFa (50ng/mL), PGE2 (1mg/mL), and Pam3CSK4 (1mg/mL). For overexpression experiments, controlled overexpression of ETS2 mRNA or control mRNA (an equivalent amount of mRNA encoding the reverse complement of ETS2 – thereby controlling for the quantity, length and purine/pyrimidine composition of the transfected RNA but with a transcript that would not be translated) was induced in resting, non-activated (M0) macrophages by transfecting 500ng mRNA. To minimise non-specific activation due to the transfected RNA, in vitro transcription was performed using co-transcriptional capping (to minimise uncapped products), and incorporating modified, minimally immunogenic nucleotides (replacing uridine with N1-methyl-pseudouridine and cytidine with methylcytidine). After 18 hours, transfected cells were were activated with low dose LPS and harvested 6 hours later. For H3K27ac ChIP-seq, cells were harvested, cross-linked, quenched, lysed, and sheared. Immunoprecipitation of histone-DNA complexes was performed overnight at 4C with rotation using an anti-H3K27ac antibody and the SimpleChIP Plus Sonication ChIP kit (Cell Signaling Technology). Following reverse cross-linking, 50ng of immunoprecipitated DNA or input DNA were used to prepare sequencing libraries using the iDeal Library Preparation kit (Diagenode), according to manufacturer instructions. 10 PCR cycles were used for the amplification step and size selection was not performed. The quality and molarity of all libraries was assessed using a BioAnalyzer 2100 (Agilent) and the libraries were sequenced on an Illumina NovaSeq 6000. Raw data are provided as raw and aligned sequencing reads from H3K27ac-bound DNA and the input chromatin. ATAC-seq in TPP macrophages was performed using the Omni-ATAC protocol (Corces et al 2017) with the following modifications: cell number was increased to 75,000 cells, cell lysis time was increased to 5 minutes; volume of Tn5 transposase in the transposition mixture was doubled; duration of the transposition step was extended to 40 minutes. Sequencing libraries were prepared by PCR with the NEBNext Ultra II Q5Master Mix (NEB) as described previously (Corces et al 2017). Amplified libraries were cleaned using AMPure XP beads (Beckman Coulter). Sequencing reads were trimmed using TrimGalore! (Phred score 24), filtered to remove reads < 20 bp and aligned to the human genome (hg19) using Burrows-Wheeler Aligner (BWA). Aligned reads were converted to BAM files, sorted and indexed using SAMtools (Li et al, 2009). PCR duplicates and unmapped reads were removed, and the resulting BAM files were re-sorted and indexed. Raw data are provided as 100 bp paired-end Illumina reads from n = 3 donors for each experiment. BAM files are also provided.

  Study EGAS50000000109

• NHGRI-Mayo Clinic Whole Genome Sequencing of Aggressive Prostate Tumors

  We collected DNA from fresh frozen prostate tumor samples and matched peripheral blood from 10 subjects with aggressive, Gleason score &#8805;8 disease. Tumor and normal samples were sequenced on the Illumina HiSeq 2000 to mean depths of 95.3X and 48.3X, respectively.

  Study phs001105

• Baylor Hopkins Center for Mendelian Genomics (BH CMG)

  The Centers for Mendelian Genomics project uses next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian conditions. By discovering genes that cause Mendelian conditions, we will expand our understanding of their biology to facilitate diagnosis and new treatments.

  Study phs000711

• Broad Institute Center for Mendelian Genomics

  The Centers for Mendelian Genomics project uses next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian conditions. By discovering genes that cause Mendelian conditions, we will expand our understanding of their biology to facilitate diagnosis and new treatments.

  Study phs001272

• University of Washington Center for Mendelian Genomics (UW-CMG)

  The Centers for Mendelian Genomics project uses next-generation sequencing and computational approaches to discover the genes and variants that underlie Mendelian conditions. By discovering genes that cause Mendelian conditions, we will expand our understanding of their biology to facilitate diagnosis and new treatments.

  Study phs000693