Back to search

Article

The mutational landscape of <i>EGFR-</i> , <i>MYC-</i> , and <i>Kras-</i> driven genetically-engineered mouse models of lung adenocarcinoma

2016-04-11

Abstract excerpt

Genetically-engineered mouse models (GEMMs) of cancer are increasingly being utilized to assess putative driver mutations identified by large scale sequencing of human cancer genomes. In order to accurately interpret experiments that introduce additional mutations, an understanding of the somatic genetic profile and evolution of GEMM tumors is necessary. Here, we performed whole exome sequencing of tumors from thr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6d4d1ef1-db39-586d-b4f0-9a243488f2a7
DOI
10.1101/048058
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The mutational landscape of <i>EGFR-</i> , <i>MYC-</i> , and <i>Kras-</i> driven genetically-engineered mouse models of lung adenocarcinomaDOI 10.1101/048058
Select a neighboring publication to make it the new centre.