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2020-07-29

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cc-by-nc (c) Breschi, Alessandra et al., 2020
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/174502

A limited set of transcriptional programs define major cell types

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https://doi.org/10.1101/gr.263186.120

Resum

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.

Matèries

RNA, Cèl·lules epitelials

Matèries (anglès)

RNA, Epithelial cells

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Articles publicats en revistes (Genètica, Microbiologia i Estadística)

Citació

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. A limited set of transcriptional programs define major cell types. _Genome Research_. 2020. Vol. 30, núm. 1047-1059. [consulta: 20 de gener de 2026]. ISSN: 1088-9051. [Disponible a: https://hdl.handle.net/2445/174502]

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