Ontology highlight
ABSTRACT:
SUBMITTER: Gillette MA
PROVIDER: S-EPMC7373300 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Gillette Michael A MA Satpathy Shankha S Cao Song S Dhanasekaran Saravana M SM Vasaikar Suhas V SV Krug Karsten K Petralia Francesca F Li Yize Y Liang Wen-Wei WW Reva Boris B Krek Azra A Ji Jiayi J Song Xiaoyu X Liu Wenke W Hong Runyu R Yao Lijun L Blumenberg Lili L Savage Sara R SR Wendl Michael C MC Wen Bo B Li Kai K Tang Lauren C LC MacMullan Melanie A MA Avanessian Shayan C SC Kane M Harry MH Newton Chelsea J CJ Cornwell MacIntosh M Kothadia Ramani B RB Ma Weiping W Yoo Seungyeul S Mannan Rahul R Vats Pankaj P Kumar-Sinha Chandan C Kawaler Emily A EA Omelchenko Tatiana T Colaprico Antonio A Geffen Yifat Y Maruvka Yosef E YE da Veiga Leprevost Felipe F Wiznerowicz Maciej M Gümüş Zeynep H ZH Veluswamy Rajwanth R RR Hostetter Galen G Heiman David I DI Wyczalkowski Matthew A MA Hiltke Tara T Mesri Mehdi M Kinsinger Christopher R CR Boja Emily S ES Omenn Gilbert S GS Chinnaiyan Arul M AM Rodriguez Henry H Li Qing Kay QK Jewell Scott D SD Thiagarajan Mathangi M Getz Gad G Zhang Bing B Fenyö David D Ruggles Kelly V KV Cieslik Marcin P MP Robles Ana I AI Clauser Karl R KR Govindan Ramaswamy R Wang Pei P Nesvizhskii Alexey I AI Ding Li L Mani D R DR Carr Steven A SA
Cell 20200701 1
To explore the biology of lung adenocarcinoma (LUAD) and identify new therapeutic opportunities, we performed comprehensive proteogenomic characterization of 110 tumors and 101 matched normal adjacent tissues (NATs) incorporating genomics, epigenomics, deep-scale proteomics, phosphoproteomics, and acetylproteomics. Multi-omics clustering revealed four subgroups defined by key driver mutations, country, and gender. Proteomic and phosphoproteomic data illuminated biology downstream of copy number ...[more]