Article
An Integrated Gene Expression Landscape Profiling Approach to Identify Lung Tumor Endothelial Cell Heterogeneity and Angiogenic Candidates.
Cancer cell - 13 Jan 2020
Goveia Jermaine, Rohlenova Katerina, Taverna Federico, Treps Lucas, Conradi Lena-Christin, Pircher Andreas, Geldhof Vincent, de Rooij Laura P M H, Kalucka Joanna, Sokol Liliana, García-Caballero Melissa, Zheng Yingfeng, Qian Junbin, Teuwen Laure-Anne, Khan Shawez, Boeckx Bram, Wauters Els, Decaluwé Herbert, De Leyn Paul, Vansteenkiste Johan, Weynand Birgit, Sagaert Xavier, Verbeken Erik, Wolthuis Albert, Topal Baki, Everaerts Wouter, Bohnenberger Hanibal, Emmert Alexander, Panovska Dena, De Smet Frederik, Staal Frank J T, Mclaughlin Rene J, Impens Francis, Lagani Vincenzo, Vinckier Stefan, Mazzone Massimiliano, Schoonjans Luc, Dewerchin Mieke, Eelen Guy, Karakach Tobias K, Yang Huanming, Wang Jian, Bolund Lars, Lin Lin, Thienpont Bernard, Li Xuri, Lambrechts Diether, Luo Yonglun, Carmeliet Peter
Abstract excerpt
Heterogeneity of lung tumor endothelial cell (TEC) phenotypes across patients, species (human/mouse), and models (in vivo/in vitro) remains poorly inventoried at the single-cell level. We single-cell RNA (scRNA)-sequenced 56,771 endothelial cells from human/mouse (peri)-tumoral lung and cultured human lung TECs, and detected 17 known and 16 previously unrecognized phenotypes, including TECs putatively regulating...
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