Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/174502
Title: | A limited set of transcriptional programs define major cell types |
Author: | Breschi, Alessandra Muñoz Aguirre, Manuel Wucher, Valentin Davis, Carrie A. Garrido Martín, Diego, 1992- Djebali, Sarah Gillis, Jesse Pervouchine, Dmitri D. Vlasova, Anna Dobin, Alexander Zaleski, Chris Drenkow, Jorg Danyko, Cassidy Scavelli, Alexandra Reverter Comes, Ferran Snyder, Michael P. Gingeras, Thomas R. Guigó Serra, Roderic |
Keywords: | RNA Cèl·lules epitelials RNA Epithelial cells |
Issue Date: | 29-Jul-2020 |
Publisher: | Cold Spring Harbor Laboratory Press |
Abstract: | We have produced RNA sequencing data for 53 primary cells from different locations in the human body. The clustering of these primary cells reveals that most cells in the human body share a few broad transcriptional programs, which define five major cell types: epithelial, endothelial, mesenchymal, neural, and blood cells. These act as basic components of many tissues and organs. Based on gene expression, these cell types redefine the basic histological types by which tissues have been traditionally classified. We identified genes whose expression is specific to these cell types, and from these genes, we estimated the contribution of the major cell types to the composition of human tissues. We found this cellular composition to be a characteristic signature of tissues and to reflect tissue morphological heterogeneity and histology. We identified changes in cellular composition in different tissues associated with age and sex, and found that departures from the normal cellular composition correlate with histological phenotypes associated with disease. |
Note: | Reproducció del document publicat a: https://doi.org/10.1101/gr.263186.120 |
It is part of: | Genome Research, 2020, vol. 30, p. 1047-1059 |
URI: | https://hdl.handle.net/2445/174502 |
Related resource: | https://doi.org/10.1101/gr.263186.120 |
ISSN: | 1088-9051 |
Appears in Collections: | Articles publicats en revistes (Genètica, Microbiologia i Estadística) |
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