A single-cell type transcriptomics map of human tissues
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https://hdl.handle.net/10037/24317Date
2021-07-28Type
Journal articleTidsskriftartikkel
Peer reviewed
Author
Karlsson, Max; Cheng, Zhang; Mear, Lorén; Zhong, Wen; Digre, Andreas; Katona, Barbola; Sjöstedt, Evelina; Butler, Lynn; Odeberg, Jacob; Dusart, Philip James; Edfors, Fredrik; Oksvold, Per; von Feilitzen, Kalle; Zwahlen, Martin; Arif, Muhammad; Altay, Ozlem; Li, Xiangyu; Ozcan, Mehmet; Mardinoglu, Adil; Fagerberg, Linn; Mulder, Jan; Luo, Younglun; Ponten, Fredrik; Uhlén, Mathias; Lindskog, CeciliaAbstract
Advances in molecular profiling have opened up the possibility to map the expression of genes in cells, tissues,
and organs in the human body. Here, we combined single-cell transcriptomics analysis with spatial antibodybased protein profiling to create a high-resolution single–cell type map of human tissues. An open access atlas
has been launched to allow researchers to explore the expression of human protein-coding genes in 192 individual cell type clusters. An expression specificity classification was performed to determine the number of
genes elevated in each cell type, allowing comparisons with bulk transcriptomics data. The analysis highlights
distinct expression clusters corresponding to cell types sharing similar functions, both within the same organs
and between organs.
Publisher
American Association for the Advancement of ScienceCitation
Karlsson, Cheng, Mear, Zhong, Digre A, Katona, Sjöstedt E, Butler LB, Odeberg JO, Dusart PJ, Edfors F, Oksvold, von Feilitzen, Zwahlen, Arif M, Altay, Li X, Ozcan, Mardinoglu A, Fagerberg, Mulder J, Luo, Ponten F, Uhlén M, Lindskog C. A single-cell type transcriptomics map of human tissues. Science Advances. 2021Metadata
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