An integrated gene expression landscape profiling approach to identify lung tumor endothelial cell heterogeneity and angiogenic candidates (vol 37, pg 21.e1, 2020)
- Author(s):
- Goveia, J.; Rohlenova, K.; Taverna, F.; Treps, L.; Conradi, L.C.; Pircher, A.; Geldhof, V.; Rooij, L.P.M.H. de; Kalucka, J.; Sokol, L.; Garcia-Caballero, M.; Zheng, Y.F.; Qian, J.B.; Teuwen, L.A.; Khan, S.; Boeckx, B.; Wauters, E.; Decaluwe, H.; Leyn, P. de; Vansteenkiste, J.; Weynand, B.; Sagaert, X.; Verbeken, E.; Wolthuis, A.; Topal, B.; Everaerts, W.; Bohnenberger, H.; Emmert, A.; Panovska, D.; Smet, F. de; Staal, F.J.T. (0000-0003-1588-8519); Mclaughlin, R.J.; Impens, F.; Lagani, V.; Vinckier, S.; Mazzone, M.; Schoonjans, L.; Dewerchin, M.; Eelen, G.; Karakach, T.K.; Yang, H.M.; Wang, J.; Bolund, L.; Lin, L.; Thienpont, B.; Li, X.R.; Lambrechts, D.; Luo, Y.L.; Carmeliet, P.
- Published
- 2020
- Publication type
- Article / Letter to editor
- Date issued
- 2020-03-16
- Language
- English
- Publisher
- CELL PRESS
- Is part of
- Cancer Cell (2020), Vol. 37, no. 3, p. 421-421
- hdl
- 1887/3627446
- doi
- 10.1016/j.ccell.2020.03.002
- URL
- https://www.sciencedirect.com/science/article/pii/S1535610820301021?via%3Dihub
