JOURNAL ARTICLE
Endothelial cell diversity: the many facets of the crystal.
Published In: FEBS Journal, 2024, v. 291, n. 15. P. 3287 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Perez‐Gutierrez, Lorena; Li, Pin; Ferrara, Napoleone 3 of 3
Abstract
Endothelial cells (ECs) form the inner lining of blood vessels and play crucial roles in angiogenesis. While it has been known for a long time that there are considerable differences among ECs from lymphatic and blood vessels, as well as among arteries, veins and capillaries, the full repertoire of endothelial diversity is only beginning to be elucidated. It has become apparent that the role of ECs is not just limited to their exchange functions. Indeed, a multitude of organ‐specific functions, including release of growth factors, regulation of immune functions, have been linked to ECs. Recent years have seen a surge into the identification of spatiotemporal molecular and functional heterogeneity of ECs, supported by technologies such as single‐cell RNA sequencing (scRNA‐seq), lineage tracing and intersectional genetics. Together, these techniques have spurred the generation of epigenomic, transcriptomic and proteomic signatures of ECs. It is now clear that ECs across organs and in different vascular beds, but even within the same vessel, have unique molecular identities and employ specialized molecular mechanisms to fulfil highly specialized needs. Here, we focus on the molecular heterogeneity of the endothelium in different organs and pathological conditions. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:FEBS Journal. 2024/08, Vol. 291, Issue 15, p3287
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:1742-464X
- DOI:10.1111/febs.16660
- Accession Number:178814479
- Copyright Statement:Copyright of FEBS Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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