Search Results - EGA European Genome-Phenome Archive

Reference epigenome ADMSC06 h3k4me1 ChIP-Seq data generated from KEP study

ADMSC06 h3k4me1 ChIP-Seq paired end data

Dataset EGAD00001007384

Reference epigenome ADMSC06 h3k4me3 ChIP-Seq data generated from KEP study

ADMSC06 h3k4me3 ChIP-Seq paired end data

Dataset EGAD00001007385

RNA sequencing of skin tissue and peripheral blood mononuclear cells from patients with atopic dermatitis and healthy controls.

We performed RNA-sequencing of skin tissue obtained from patients with atopic dermatitis, psoriasis and controls in Japanese population.

Study JGAS000780

Single-cell RNA-sequencing for peripheral blood mononuclear cells from COVID-19 patients and healthy controls of Japanese

We performed single-cell RNA-sequencing of peripheral blood mononuclear cells obtained from COVID-19 patients and healthy controls.

Study JGAS000593

Single-cell RNA-sequencing for peripheral blood mononuclear cells from COVID-19 patients and healthy controls of Japanese

We performed single-cell RNA-sequencing of peripheral blood mononuclear cells obtained from COVID-19 patients and healthy controls.

Study JGAS000543

Pediatric B-cell precursor acute lymphoblastic leukemia RNA sequencing

This dataset included 33 childhood B-cell precursor acute lymphoblastic leukemia RNA sequencing samples. All samples were subjected to Illumina pair-end sequencing.

Study EGAS50000000763

Bulk RNA sequencing of hematological toxicity following CAR-T cells injection

Bone marrow aspirations obtained from patients treated with CAR-T cells were analyzed using bulk RNA sequencing (CD3+, CAR T+, CD34+ sorted populations).

Study EGAS50000000777

Single cell RNA-sequencing of GSCs and GBM tumours

Characterization of glioblastoma tumors and glioblastoma stem cell (GSCs) lines with single cell or single nuclei RNA-sequencing.

Study EGAS00001004656

RNA sequencing of AD, MCI and control OM cells

Total RNA sequencing of cultured OM cells derived from patients with Alzheimer's disease (AD), individuals with mild cognitive impairment (MCI) and cognitively healthy controls.

Study EGAS00001006195

Extracellular Vesicle miRNA Sequencing with Qiaseq and NextSeq 550

This dataset includes small RNA sequencing data from extracellular vesicle-derived RNA. miRNA libraries were prepared using the Qiaseq miRNA Library Kit with adaptations for low RNA input and sequenced on the Illumina NextSeq 550 platform

Dataset EGAD50000001504

Bulk RNA from sorted CD8+ T cells after 48h co-culture with human Mito-DsRed MSCs.

For human samples, total cellular RNA was isolated from post-sorted Mito+ and Mito CD8+ cells using the RNeasy Mini Kit (Qiagen). Stranded RNA libraries were created using SMARTSeq Stranded.

Dataset EGAD00001011082

Gene Expression and Biomarker Utility in Post-Mortem Samples

The FAA Functional Genomics Team examined the feasibility of analyzing gene expression profiles using post-mortem brain, lung, muscle, and blood samples collected from aviation accident fatalities, with the goal of validating post-mortem extracted RNA for use in RNA sequencing. We compared the RNA sequencing results obtained from THC-positive and THC-negative samples to determine whether RNA sequencing on samples collected from aviation accident fatalities was possible and if any differences in gene expression associated with THC consumption were detectable post-mortem. The study population included 57 males of indeterminant age who perished in general aviation accidents and for whom post-mortem toxicological testing identified delta-9-THC or its primary or secondary metabolites, as well as negative controls. We determined that RNA sequencing on post-mortem aviation accident fatality samples is possible, and further identified genes showing differential expression in lung and muscle between THC-positive and THC-negative samples. We conclude that post-mortem tissue samples collected from aviation accident fatalities are suitable for gene expression profiling, but caution researchers that such samples have low RNA integrity numbers and some degree of microbial contamination is both probable and to be expected. Raw sequencing files (.fastq) from this study are available in dbGaP.

Study phs003546

ChIP-Seq files for RMS.

ChIP-Seq files accompanying the paper titled "Identification of Therapeutic Targets in Rhabdomyosarcoma Through Integrated Genomic, Epigenomic, and Proteomic Analyses".

Dataset EGAD00001006398