A single-cell type transcriptomics map of human tissues.
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IF: 14.957
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Cited by: 422
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Abstract

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 antibody-based 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.

Keywords

Omics
Gene Expression

Authors

Karlsson, Max
Zhang, Cheng
Méar, Loren
Zhong, Wen
Digre, Andreas
Katona, Borbala
Sjöstedt, Evelina
Butler, Lynn
Odeberg, Jacob
Dusart, Philip
Edfors, Fredrik
Oksvold, Per
von Feilitzen, Kalle
Zwahlen, Martin
Arif, Muhammad
Altay, Ozlem
Li, Xiangyu
Ozcan, Mehmet
Mardinoglu, Adil
Fagerberg, Linn
Mulder, Jan
Luo, Yonglun
Ponten, Fredrik
Uhlén, Mathias
Lindskog, Cecilia

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