The single-cell chromatin accessibility landscape in mouse perinatal testis development.
Hoi Ching SuenShitao RaoAlfred Chun Shui LukRuoyu ZhangLele YangHuayu QiHon Cheong SoRobin M HobbsTin-Lap LeeJinyue LiaoPublished in: eLife (2023)
Spermatogenesis depends on an orchestrated series of developing events in germ cells and full maturation of the somatic microenvironment. To date, the majority of efforts to study cellular heterogeneity in testis has been focused on single-cell gene expression rather than the chromatin landscape shaping gene expression. To advance our understanding of the regulatory programs underlying testicular cell types, we analyzed single-cell chromatin accessibility profiles in more than 25,000 cells from mouse developing testis. We showed that single-cell sequencing assay for transposase-accessible chromatin (scATAC-Seq) allowed us to deconvolve distinct cell populations and identify cis -regulatory elements (CREs) underlying cell-type specification. We identified sets of transcription factors associated with cell type-specific accessibility, revealing novel regulators of cell fate specification and maintenance. Pseudotime reconstruction revealed detailed regulatory dynamics coordinating the sequential developmental progressions of germ cells and somatic cells. This high-resolution dataset also unveiled previously unreported subpopulations within both the Sertoli and Leydig cell groups. Further, we defined candidate target cell types and genes of several genome-wide association study (GWAS) signals, including those associated with testosterone levels and coronary artery disease. Collectively, our data provide a blueprint of the 'regulon' of the mouse male germline and supporting somatic cells.
Keyphrases
- single cell
- rna seq
- gene expression
- transcription factor
- high throughput
- induced apoptosis
- cell cycle arrest
- genome wide
- coronary artery disease
- dna damage
- high resolution
- cell fate
- pregnant women
- stem cells
- dna repair
- dna methylation
- endoplasmic reticulum stress
- cardiovascular disease
- heart failure
- machine learning
- electronic health record
- coronary artery bypass grafting
- big data
- tandem mass spectrometry
- percutaneous coronary intervention
- transcatheter aortic valve replacement
- replacement therapy