A single–cell type transcriptomics map of human tissues
Max Karlsson, Cheng Zhang, Loren Méar, Wen Zhong, Andreas Digre, Borbala Katona, Evelina Sjöstedt, Lynn M. Butler, Jacob Odeberg, Philip Dusart, Fredrik Edfors, Per Oksvold, Kalle von Feilitzen, Martin Zwahlen, Muhammad Arif, Özlem Altay, Xiangyü Li, Mehmet Özcan, Adil Mardinoğlu, Linn Fagerberg, Jan Mulder, Yonglun Luo, Fredrik Pontén, Mathias Uhlén, Cecilia Lindskog
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.