Dynamic partitioning of branched-chain amino acids-derived nitrogen supports renal cancer progression

Autor: Marco Sciacovelli, Aurelien Dugourd, Lorea Valcarcel Jimenez, Ming Yang, Efterpi Nikitopoulou, Ana S. H. Costa, Laura Tronci, Veronica Caraffini, Paulo Rodrigues, Christina Schmidt, Dylan Gerard Ryan, Timothy Young, Vincent R. Zecchini, Sabrina H. Rossi, Charlie Massie, Caroline Lohoff, Maria Masid, Vassily Hatzimanikatis, Christoph Kuppe, Alex Von Kriegsheim, Rafael Kramann, Vincent Gnanapragasam, Anne Y. Warren, Grant D. Stewart, Ayelet Erez, Sakari Vanharanta, Julio Saez-Rodriguez, Christian Frezza

Publikováno v: Sciacovelli, M, Dugourd, A, Jiminez, L V, Yang, M, Nikitopoulou, E, Costa, A S H, Tronci, L, Caraffini, V, Rodrigues, P, Schmidt, C, Ryan, D, Young, T, Zicchini, V R, Rossi, S H, Massie, C, Lohoff, C, Masid, M, Hatzimanikatis, V, Kuppe, C, von Kriegsheim, A, Kramann, R, Gnanapragasam, V J, Warren, A Y, Stewart, G, Erez, A, Vanharanta, S, Saez-Rodriguez, J & Frezza, C 2022, ' Dynamic partitioning of branched-chain amino acids-derived nitrogen supports renal cancer progression ', Nature Communications . https://doi.org/10.1038/s41467-022-35036-4
Nature Communications, 13(1):7830. Nature Publishing Group
Nature Communications 13(1), 7830 (2022). doi:10.1038/s41467-022-35036-4

Metabolic reprogramming is critical for tumor initiation and progression. However, the exact impact of specific metabolic changes on cancer progression is poorly understood. Here, we integrate multimodal analyses of primary and metastatic clonally-re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e08279ff7c405b8dc36d9ce9cc4afaab
http://hdl.handle.net/10138/355207