Cystic fibrosis multi-omics study

Cystic fibrosis (CF) is a genetic disorder affecting approximately 1 in 2,500 people in the UK. Here, we generated a number of high-throughput sequence data sets for monocytes and neutrophils from CF patients and matched healthy volunteers (HV); including ChIP-Seq (H3K27Ac), chromatin accessibility (ATAC-Seq), and transcript/gene expression (RNA-Seq) data. Analysis of gene expression and epigenetic profiles demonstrates a robust innate immune gene expression profile that distinguishes CF and HV during periods of disease exacerbation. Upregulation of pathways responsible for the production of proinflammatory cytokines is described.

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001009062	This Dataset contains RNA-Seq, H3K27Ac ChIP-Seq, and ATAC-Seq data for 13 cystic fibrosis (CF) patients and 8 healthy volunteers (HV).	Illumina HiSeq 4000	222