A single–cell type transcriptomics map of human tissues
By Max J. Karlsson, Cheng Zhang, Loren Méar, Wen Zhong, A. Digre, Borbala Katona, E. Sjöstedt, L. Butler, J. Odeberg, P. Dusart and 15 more. Science Advances, 2021
1,482 citations recorded by the source corpus.
Single-cell RNA analysis has been integrated with spatial protein profiling to create a single–cell type map of human tissues. 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.
Subfields: Immunology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/8fbccff92206c27835fa430b7ead21ea69d6883e
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Citations in the corpus
- The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans (2021, background): “Of the potential previously undescribedmarkers determined by this analysis, SLC14A1 (solute carrier family 14 member 1) appears to be a specific marker for endothelial cells in the heart, whose expression was independently validated with data from the Human Protein Atlas (18) (fig.”
- High resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis (2023, neutral): “Three types of epithelial( ESR1 +, PIGR +, and OPRPN +)and onemyoepithelial population ( DST +) were molecularly and spatially distinct, consistent with scRNA-seq reference data where these epithelial subtypes form distinct clusters 4 .”