A single–cell type transcriptomics map of human tissues

Max Karlsson(Science for Life Laboratory), Cheng Zhang(Science for Life Laboratory), Loren Méar(Uppsala University), Wen Zhong(Science for Life Laboratory), Andreas Digre(Uppsala University), Borbala Katona(Uppsala University), Evelina Sjöstedt(Karolinska Institutet), Lynn M. Butler(Karolinska University Hospital), Jacob Odeberg(Science for Life Laboratory), Philip Dusart(Science for Life Laboratory), Fredrik Edfors(Science for Life Laboratory), Per Oksvold(Science for Life Laboratory), Kalle von Feilitzen(Science for Life Laboratory), Martin Zwahlen(Science for Life Laboratory), Muhammad Arif(Science for Life Laboratory), Özlem Altay(Science for Life Laboratory), Xiangyü Li(Science for Life Laboratory), Mehmet Özcan(Science for Life Laboratory), Adil Mardinoğlu(Science for Life Laboratory), Linn Fagerberg(Science for Life Laboratory), Jan Mulder(Karolinska Institutet), Yonglun Luo(Aarhus University), Fredrik Pontén(Uppsala University), Mathias Uhlén(Science for Life Laboratory), Cecilia Lindskog(Uppsala University)
Science Advances
July 28, 2021
Cited by 1,801Open Access
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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.


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