bioRxivDevelopmental BiologyPreprint
Function-driven geometry directs human pilosebaceous unit development
Elias FarriD, Efpraxia KritikakiiD, Marta A. ChroscikiD, Chloe AdmaneiD, Emily J GravesiD, Catherine L. TudoriD, Hon Man Chan, Jacqueline Marcia BoccacinoiD, Joseph McWilliamiD, Fereshteh TorabiiD, Keerthi Priya ChakalaiD, Daniela Basurto-LozadaiD, Tong LiiD, Aljes BinkevichiD, Alexander V. PredeusiD, Martin PreteiD, Maryna PanamarovaiD, Diana AdãoiD, Kim Evans, Kris Stewart, Lloyd SteeleiD, Elena WinheimiD, Nusayhah Hudaa GopeeiD, Emily StephensoniD, Minal J Patel, , Muzlifah A. HaniffaiD
Abstract
Single-cell technologies have generated cell censuses of tissues, however, how tissue geometry reflects functional needs remains poorly characterized. The human pilosebaceous unit offers a tractable model, a prenatally-formed complex mini-organ combining hair and sebum production with a stem cell reservoir. Using histomorphology, spatial transcriptomics, and single-cell multiomics on the same human prenatal scalp skin samples (8-19 post-conception weeks), integrated and analyzed using machine learning approaches, we built a spatiotemporal map of pilosebaceous unit development. We demonstrate that epithelial-mesenchymal interactions coordinate cellular fate and organogenesis, using an in vitro hair-bearing skin organoid model to validate this tissue-patterning. In addition, we show sebaceous gland developmental programmes are overcome during tumor formation. Our large-scale multi-modal analysis provides a unique framework for understanding form and function of tissues with applications in tissue engineering and pathology.
- organism: human
- assay: spatial transcriptomics
- assay: scRNA-seq
- research focus: trajectory inference
- research focus: cell type annotation
- approach: machine learning (classical)
- Citations
- 0
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