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Almet, A.A.* ; Yuan, H.* ; Annusver, K.* ; Ramos, R.* ; Liu, Y.* ; Wiedemann, J.* ; Sorkin, D.H.* ; Landén, N.X.* ; Sonkoly, E.* ; Haniffa, M.* ; Nie, Q.* ; Lichtenberger, B.M.* ; Luecken, M. ; Andersen, B.* ; Tsoi, L.C.* ; Watt, F.M.* ; Gudjonsson, J.E.* ; Plikus, M.V.* ; Kasper, M.*

A Roadmap for a consensus human skin cell atlas and single-cell data standardization.

J. Invest. Dermatol. 143, 1667-1677 (2023)
DOI PMC
Creative Commons Lizenzvertrag
Single-cell technologies have become essential to driving discovery in both basic and translational investigative dermatology. Despite the multitude of available datasets, a central reference atlas of normal human skin, which can serve as a reference resource for skin cell types, cell states, and their molecular signatures, is still lacking. For any such atlas to receive broad acceptance, participation by many investigators during atlas construction is an essential prerequisite. As part of the Human Cell Atlas project, we have assembled a Skin Biological Network to build a consensus Human Skin Cell Atlas and outline a roadmap toward that goal. We define the drivers of skin diversity to be considered when selecting sequencing datasets for the atlas and list practical hurdles during skin sampling that can result in data gaps and impede comprehensive representation and technical considerations for tissue processing and computational analysis, the accounting for which should minimize biases in cell type enrichments and exclusions and decrease batch effects. By outlining our goals for Atlas 1.0, we discuss how it will uncover new aspects of skin biology.
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Publication type Article: Journal article
Document type Review
Corresponding Author
Keywords United-states; Expression; Chromatin; Dedifferentiation; Differentiation; Architecture; Populations; Physiology; Diversity; Gender
ISSN (print) / ISBN 0022-202X
e-ISSN 1523-1747
Journal Journal of Investigative Dermatology, The
Quellenangaben Volume: 143, Issue: 9, Pages: 1667-1677 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place New York, NY
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
Lung Health and Immunity (LHI)
Grants National Institutes of Health
LEO Foundation
W.M. Keck Foundation
Chan Zuckerberg Initiative
National Science Foundation
Swedish Research Council
Swedish Cancer Society
Karolinska Institutet Consolidator
Austrian Science Fund
Wellcome Trust
California Institute for Regenerative Medicine training grant
Karolinska Institutet KID grant
European Union
Simons Foundation
UC Irvine Institute for Clinical and Translational Science
Forte