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Transcriptional drifts associated with environmental changes in endothelial cells
Author
Afshar, Y.Ma, F.
Quach, A.
Jeong, A.
Sunshine, H.L.
Freitas, V.
Jami-Alahmadi, Y.
Helaers, R.
Li, X.
Pellegrini, M.
Wohlschlegel, J.
Romanoski, C.E.
Vikkula, M.
Iruela-Arispe, M.L.
Affiliation
Department of Cellular and Molecular Medicine, University of ArizonaIssue Date
2023-05-27
Metadata
Show full item recordPublisher
eLife Sciences Publications LtdCitation
Yalda AfsharFeyiang MaAustin QuachAnhyo JeongHannah L SunshineVanessa FreitasYasaman Jami-AlahmadiRaphael HelaersXinmin LiMatteo PellegriniJames A WohlschlegelCasey E RomanoskiMiikka VikkulaM Luisa Iruela-Arispe (2023) Transcriptional drifts associated with environmental changes in endothelial cells eLife 12:e81370.Journal
eLifeRights
© Afshar et al. This article is distributed under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Environmental cues, such as physical forces and heterotypic cell interactions play a critical role in cell function, yet their collective contributions to transcriptional changes are unclear. Focusing on human endothelial cells, we performed broad individual sample analysis to identify transcriptional drifts associated with environmental changes that were independent of genetic background. Global gene expression profiling by RNAseq and protein expression by LC-MS directed proteomics distinguished endothelial cells in vivo from genetically matched culture (in vitro) samples. Over 43% of the transcriptome was significantly changed by the in vitro environment. Subjecting cultured cells to long-term shear stress significantly rescued the expression of approximately 17% of genes. Inclusion of heterotypic interactions by co-culture of endothelial cells with smooth muscle cells normalized approximately 9% of the original in vivo signature. We also identified novel flow dependent genes, as well as genes that necessitate heterotypic cell interactions to mimic the in vivo transcriptome. Our findings highlight specific genes and pathways that rely on contextual information for adequate expression from those that are agnostic of such environmental cues. © 2023, eLife Sciences Publications Ltd. All rights reserved.Note
Open access journalISSN
2050-084XPubMed ID
36971339Version
Final Published Versionae974a485f413a2113503eed53cd6c53
10.7554/elife.81370
Scopus Count
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Except where otherwise noted, this item's license is described as © Afshar et al. This article is distributed under the terms of the Creative Commons Attribution License.
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