Please use this identifier to cite or link to this item: http://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
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: http://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)

Files in This Item:
File Description SizeFormat 
705026.pdf8.52 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons