ArticleAmerican journal of respiratory cell and molecular biology2015
Isolation of epithelial, endothelial, and immune cells from lungs of transgenic mice with oncogene-induced lung adenocarcinomas.
Article in American journal of respiratory cell and molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed, 55 citations in OpenAlex.
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Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Genetically engineered mouse models of lung adenocarcinoma have proven invaluable for understanding mechanisms of tumorigenesis, therapy response, and drug resistance. However, mechanistic studies focused on studying these processes in tumor-bearing mouse lungs are confounded by the fact that, in most cases, relevant signaling pathways are analyzed in whole-lung preparations, which are composed of a heterogeneous mixture of cells. Given our increasing knowledge about the roles played by different subpopulations of cells in the development of lung adenocarcinoma, separating the major cellular compartments of the tumor microenvironment is recommended to allow for a precise analysis of relevant pathways in each isolated cell type. In this study, we optimized magnetic- and fluorescence-based isolation protocols to segregate lung epithelial (CD326/epithelial cell adhesion molecule-positive), endothelial (CD31-positive), and immune (CD45-positive) cells, with high purity, from the lungs of transgenic mice with mutant epidermal growth factor receptor-induced lung adenocarcinomas. This approach, which can potentially be extended to additional lung adenocarcinoma models, enables delineation of the molecular features of individual cell types that can be used to gain insight into their roles in lung adenocarcinoma initiation, progression, and response to therapy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.