bioRxivGenomicsPreprint
Integrative single cell multiomics analysis of human retina indicates a role for hierarchical transcription factors collaboration in genetic effects on gene regulation
Jun WangiD, Xuesen ChengiD, Qingnan LiangiD, Leah A. OweniD, Meng WangiD, Margaret M. DeAngelisiD, Yumei LiiD, Rui CheniD
Abstract
BackgroundSystematic 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. ResultsWe mapped single-cell eQTL (sc-eQTLs), single-cell caQTL (sc-caQTL), single-cell allelic specific chromatin accessibility (sc-ASCA) and single-cell allelic specific expression (sc-ASE) 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 sc-eQTLs and sc-caQTLs identified show cell type specific effects, while the cis-elements containing the genetic variants with cell type specific effects tend to be accessible in multiple cell types. Furthermore, the transcription factors with binding sites perturbed by genetic variants tend to have higher expression in the cell types, where the variants have effect, than the cell types where the variants do not have effect. Finally, we identified the enriched cell types, candidate causal variants and genes, and cell type specific regulatory mechanism underlying GWAS loci. ConclusionsOverall, genetic effects on gene regulation are highly context dependent. Our results suggest that among cell types sharing a similar lineage, cell type dependent genetic effect is primarily driven by trans-factors rather than cell type specific chromatin state of cis-elements. Our findings indicate a role for hierarchical transcription factors collaboration in cell type specific effects of genetic variants on gene regulation.
- organism: human
- assay: scRNA-seq
- assay: ATAC-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single-cell analysis of the epigenome and 3D chromatin architecture in the human retina
Ying Yuan, Pooja Biswas, … Bing Ren·Science AdvancesPeer-reviewed·Jul 23, 2026
- Impact of Rare and Common Genetic Variation on Cell Type-Specific Gene Expression
Anna S. E. Cuomo, Eleanor Spenceley, … Joseph E. Powell·NaturePeer-reviewed·Oct 28, 2026
- Integrated multi-omics single cell atlas of the human retina
- A multi-omics atlas of the human retina at single-cell resolution
Qingnan Liang, Xuesen Cheng, … Rui Chen·Cell GenomicsPeer-reviewed·Apr 11, 2023
- Genetic regulation of cell type-specific chromatin accessibility shapes immune function and disease risk
Angli Xue, Jianan Fan, … Joseph E. Powell·medRxiv·Aug 27, 2025
- Key transcription factors influence the epigenetic landscape to regulate retinal cell differentiation
Yichen Ge, Xushen Chen, … Xiuqian Mu·Nucleic Acids ResearchPeer-reviewed·Jan 30, 2023