Single-cell multiomics of the human retina reveals hierarchical transcription factor collaboration in mediating cell type-specific effects of genetic variants on gene regulation

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Updated July 25, 2024

Systematic characterization of how genetic variation modulates gene regulation in a cell type specific context is essential for understanding complex traits. To address this question, we profiled gene expression and chromatin state of cells from healthy retinae of 20 human donors with a single-cell multiomics approach, and performed genomic sequencing. sc-eQTLs, sc-caQTL, sc-ASCA and sc-ASE were mapped in major retinal cell types. By integrating these results, we identified and characterized regulatory elements and genetic variants effective on gene regulation in individual cell types. Most of the identified sc-eQTLs and sc-caQTLs exhibit cell type-specific effects. Interestingly, the cis-elements harboring genetic variants with cell type-specific effects tend to be accessible in multiple cell types. Lastly, we identified the enriched cell types, fine-mapped candidate causal variants and genes, and uncovered cell type-specific regulatory mechanism underlying GWAS loci.

Rui ChenBaylor College of Medicineruichen@bcm.edu
Margaret DeAngelis (Principal Investigator)1
Yumei Li (Experimental Scientist)2
Jun Wang (Experimental Scientist)2
Xuesen Cheng (Experimental Scientist)2
Qingnan Liang (Experimental Scientist)2
Jin Li2
Leah Owen (Experimental Scientist)3
Meng Wang2
Shiming Chen4
Jiaxiong Lu2
Yiqiao Zheng4
Rui Chen (Principal Investigator)2
1Jacobs School of Medicine & Biomedical Sciences
2Baylor College of Medicine
3University of Utah
4Washington University in St Louis
None

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Atlas

None

Analysis Portals

None

Project Label

Single-cellmultiomicsofthehumanretinarevealshierar

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

eye

Organ Part

2 organ parts

Selected Cell Types

Unspecified

Disease Status (Specimen)

Unspecified

Disease Status (Donor)

Unspecified

Development Stage

16 development stages

Library Construction Method

2 library construction methods

Nucleic Acid Source

single nucleus

Paired End

false

File Format

fastq

Cell Count Estimate

Unspecified

Donor Count

20
fastq364 file(s)