| Literature DB >> 32059779 |
Joanna Kalucka1, Laura P M H de Rooij1, Jermaine Goveia1, Katerina Rohlenova1, Sébastien J Dumas1, Elda Meta1, Nadine V Conchinha1, Federico Taverna1, Laure-Anne Teuwen1, Koen Veys1, Melissa García-Caballero1, Shawez Khan1, Vincent Geldhof1, Liliana Sokol1, Rongyuan Chen2, Lucas Treps1, Mila Borri1, Pauline de Zeeuw1, Charlotte Dubois1, Tobias K Karakach1, Kim D Falkenberg1, Magdalena Parys1, Xiangke Yin2, Stefan Vinckier1, Yuxiang Du2, Robert A Fenton3, Luc Schoonjans4, Mieke Dewerchin1, Guy Eelen1, Bernard Thienpont5, Lin Lin6, Lars Bolund6, Xuri Li7, Yonglun Luo8, Peter Carmeliet9.
Abstract
The heterogeneity of endothelial cells (ECs) across tissues remains incompletely inventoried. We constructed an atlas of >32,000 single-EC transcriptomes from 11 mouse tissues and identified 78 EC subclusters, including Aqp7+ intestinal capillaries and angiogenic ECs in healthy tissues. ECs from brain/testis, liver/spleen, small intestine/colon, and skeletal muscle/heart pairwise expressed partially overlapping marker genes. Arterial, venous, and lymphatic ECs shared more markers in more tissues than did heterogeneous capillary ECs. ECs from different vascular beds (arteries, capillaries, veins, lymphatics) exhibited transcriptome similarity across tissues, but the tissue (rather than the vessel) type contributed to the EC heterogeneity. Metabolic transcriptome analysis revealed a similar tissue-grouping phenomenon of ECs and heterogeneous metabolic gene signatures in ECs between tissues and between vascular beds within a single tissue in a tissue-type-dependent pattern. The EC atlas taxonomy enabled identification of EC subclusters in public scRNA-seq datasets and provides a powerful discovery tool and resource value.Entities:
Keywords: endothelial metabolism; endothelial-cell heterogeneity; mouse endothelial atlas; single-cell RNA-seq
Year: 2020 PMID: 32059779 DOI: 10.1016/j.cell.2020.01.015
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582