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ATAC-seq in 24 GBR lymphoblastoid cell lines

ABSTRACT: Although genome-wide association study is an important tool for linking genetic variation to common complex diseases, it remains difficult to identify the causal variants underlying susceptibility loci. Recent work demonstrated mapping chromatin accessibility across different individuals can be a powerful method for interpreting genetic variant function, existing assays to measure chromatin landscapes (e.g., DNaseI-seq) are labor intensive and require very large numbers of cells preventing their application in real-world settings. This project aims to assess the ability of a novel assay for chromatin accessibility, ATAC-seq, to detect chromatin structure variation among individuals. We will apply ATAC-seq in 24 GBR HapMap lymphoblastoid cell lines (LCLs), which are a model system for studying the function of human genetic variation. We will also employ a novel approach to molecular quantitative trait locus identification which utilizes both population quantitative trait locus and allele-specific signatures, and gives increased mapping power in small sample sizes.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

INSTRUMENT(S): Illumina HiSeq 2500

ORGANISM(S): Homo sapiens

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PROVIDER: E-ERAD-418 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Single-cell chromatin accessibility data using scATAC-seq

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2015-06-17 | E-GEOD-65360 | biostudies-arrayexpress

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Chromatin accessibility maps of chronic lymphocytic leukemia identify subtype-specific epigenome signatures and transcription regulatory networks

Project description:Chronic lymphocytic leukemia (CLL) is characterized by substantial clinical heterogeneity, despite relatively few genetic alterations. To provide a basis for studying epigenome deregulation in CLL, we established genome-wide chromatin accessibility maps for 88 CLL samples from 55 patients using the ATAC-seq assay, and we also performed ChIPmentation and RNA-seq profiling for ten representative samples. Based on the resulting dataset, we devised and applied a bioinformatic method that links chromatin profiles to clinical annotations. Our analysis identified sample-specific variation on top of a shared core of CLL regulatory regions. IGHV mutation status â which distinguishes the two major subtypes of CLL â was accurately predicted by the chromatin profiles, and gene regulatory networks inferred for IGHV-mutated vs. IGHV-unmutated samples identified characteristic differences between these two disease subtypes. In summary, we found widespread heterogeneity in the CLL chromatin landscape, established a community resource for studying epigenome deregulation in leukemia, and demonstrated the feasibility of chromatin accessibility mapping in cancer cohorts and clinical research. Genome-wide profiling of chromatin states and gene expression levels in 88 CLL samples from 55 individuals gave rise to 88 ATAC-seq profiles, 40 ChIPmentation profiles (10 samples, each with 3 different antibodies and matched immunoglobulin control), and 10 RNA-seq profiles. Raw sequence data has been deposited at the EBI's European Genome-phenome Archive (EGA) under the accession number EGAS00001001821 (controlled access to protect patient privacy).

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2022-09-07 | GSE194023 | GEO

scNanoATAC-seq: Long-read Single-cell ATAC-seq by Oxford Nanopore Technologies Sequencing [DataSet1: scNanoATAC-seq]

2022-09-07 | GSE194022 | GEO

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Association of common genetic variation with Parkinson’s disease is driven by microglial modulation of Leucine-rich repeat kinase 2 expression

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2021-01-29 | GSE163323 | GEO

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