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High-resolution single-cell transcriptomics reveals heterogeneity of self-renewing hair follicle stem cells.

ABSTRACT: Multipotent bulge stem cells (SCs) fuel the hair follicle (HF) cyclic growth during adult skin homeostasis, but their intrinsic molecular heterogeneity is not well understood. These hair follicle stem cells (HFSCs) engage in bouts of self-renewal, migration and differentiation during the hair cycle. Here, we perform high-resolution single-cell RNA sequencing (scRNA-seq) of HFSCs sorted as CD34⁺ /K14-H2BGFP⁺ from mouse skin at mid-anagen, the self-renewal stage. We dissect the transcriptomic profiles and unravel population-specific transcriptional heterogeneity. Unsupervised clustering reveals five major HFSC populations, which distinguished by known markers associated with both the bulge and the outer root sheath (ORS) underneath. These populations include quiescent bulge, ORS cellular states and proliferative cells. Lineage trajectory analysis predicted the prospective differentiation path of these cellular states and their corresponding self-renewing subpopulations. The bulge population itself can be further sub-divided into distinct subpopulations that can be mapped to the upper, mid and lower bulge regions, and present a decreasing quiescence score. Gene set enrichment analysis (GSEA) revealed new markers and suggested potentially distinct functions of the ORS and bulge subpopulations. This included communications between the upper bulge subpopulation and sensory nerves and between the upper ORS and skin vasculature, as well as enrichment of a bulge subset in cell migratory functions. The lower ORS enriched genes may potentially enable nutrients passing from the surrounding fat and vasculature cells towards the proliferating hair matrix cells. Thus, we provide a comprehensive account of HFSC molecular heterogeneity during their self-renewing stage, which enables future HF functional studies.

SUBMITTER: Chovatiya G

PROVIDER: S-EPMC8016723 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Wool is the critical textile raw material which is produced by the hair follicle of sheep. Therefore, it has important implications to investigate the molecular mechanism governing hair follicle development. Due to high cellular heterogeneity as well as the insufficient cellular, molecular, and spatial characterization of hair follicles on sheep, the molecular mechanisms involved in hair follicle development and wool curvature of sheep remains largely unknown. Single-cell RNA sequencing (scRNA-seq) technologies have made it possible to comprehensively dissect the cellular composition of complex skin tissues and unveil the differentiation and spatial signatures of epidermal and hair follicle development. However, such studies are lacking so far in sheep. Here, single-cell suspensions from the curly wool and straight wool lambskins were prepared for unbiased scRNA-seq. Based on UAMP dimension reduction analysis, we identified 19 distinct cell populations from 15,830 single-cell transcriptomes and characterized their cellular identity according to specific gene expression profiles. Furthermore, novel marker gene was applied in identifying dermal papilla cells isolated in vitro. By using pseudotime ordering analysis, we constructed the matrix cell lineage differentiation trajectory and revealed the dynamic gene expression profiles of matrix progenitors' commitment to the hair shaft and inner root sheath (IRS) cells. Meanwhile, intercellular communication between mesenchymal and epithelial cells was inferred based on CellChat and the prior knowledge of ligand-receptor pairs. As a result, strong intercellular communication and associated signaling pathways were revealed. Besides, to clarify the molecular mechanism of wool curvature, differentially expressed genes in specific cells between straight wool and curly wool were identified and analyzed. Our findings here provided an unbiased and systematic view of the molecular anatomy of sheep hair follicle comprising 19 clusters; revealed the differentiation, spatial signatures, and intercellular communication underlying sheep hair follicle development; and at the same time revealed the potential molecular mechanism of wool curvature, which will give important new insights into the biology of the sheep hair follicle and has implications for sheep breeding.

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High-resolution single-cell transcriptomics reveals heterogeneity of self-renewing hair follicle stem cells.

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