HCA Data Explorer

A single-cell atlas of chromatin accessibility in the human genome

Access Granted
Updated January 23, 2023

Current catalogs of regulatory sequences in the human genome are still incomplete and lack cell type resolution. To profile the activity of gene regulatory elements in diverse cell types and tissues in the human body, we applied single-cell chromatin accessibility assays to 30 adult human tissue types from multiple donors. We integrated these datasets with single-cell chromatin accessibility data from 15 fetal tissue types to reveal the status of open chromatin for approximately 1.2 million candidate cis-regulatory elements (cCREs) in 222 distinct cell types comprised of >1.3 million nuclei. We used these chromatin accessibility maps to delineate cell type-specificity of fetal and adult human cCREs and to systematically interpret the noncoding variants associated with complex human traits and diseases. This rich resource provides a foundation for the analysis of gene regulatory programs in human cell types across tissues, life stages, and organ systems. Overall design: Applying single cell chromatin accessibility assays to diverse human tissue types from four donors.

Bing RenUniversity of California, San Diegobiren@health.ucsd.edu
Bing Ren (Experimental Scientist)1
1University of California, San Diego
Parisa Nejad
Brittney Wick

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/c31fa434-c9ed-4263-a9b6-d9ffb9d44005
None
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

Atlas

None

Analysis Portals

None

Project Label

atlasOfChromatinAccessibility

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

18 anatomical entities

Organ Part

11 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

human adult stage

Library Construction Method

sci-RNA-seq

Nucleic Acid Source

single nucleus

Paired End

true

Analysis Protocol

analysis_protocol_1

File Format

4 file formats

Cell Count Estimate

500.0k

Donor Count

4
bed.gz70 file(s)fastq.gz140 file(s)tsv.gz1 file(s)xlsx1 file(s)