Ontology highlight
ABSTRACT:
SUBMITTER: Kreuzaler P
PROVIDER: S-EPMC10663155 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature
Kreuzaler Peter P Inglese Paolo P Ghanate Avinash A Gjelaj Ersa E Wu Vincen V Panina Yulia Y Mendez-Lucas Andres A MacLachlan Catherine C Patani Neill N Hubert Catherine B CB Huang Helen H Greenidge Gina G Rueda Oscar M OM Taylor Adam J AJ Karali Evdoxia E Kazanc Emine E Spicer Amy A Dexter Alex A Lin Wei W Thompson Daria D Silva Dos Santos Mariana M Calvani Enrica E Legrave Nathalie N Ellis James K JK Greenwood Wendy W Green Mary M Nye Emma E Still Emma E Barry Simon S Goodwin Richard J A RJA Bruna Alejandra A Caldas Carlos C MacRae James J de Carvalho Luiz Pedro Sório LPS Poulogiannis George G McMahon Greg G Takats Zoltan Z Bunch Josephine J Yuneva Mariia M
Nature metabolism 20231109 11
Tumors are intrinsically heterogeneous and it is well established that this directs their evolution, hinders their classification and frustrates therapy<sup>1-3</sup>. Consequently, spatially resolved omics-level analyses are gaining traction<sup>4-9</sup>. Despite considerable therapeutic interest, tumor metabolism has been lagging behind this development and there is a paucity of data regarding its spatial organization. To address this shortcoming, we set out to study the local metabolic effec ...[more]