Unknown

Dataset Information

Screening and identification of tissue-infiltrating immune cells and genes for patients with emphysema phenotype of COPD.


ABSTRACT:

Objective

To study the tissue-infiltrating immune cells of the emphysema phenotype of chronic obstructive pulmonary disease (COPD) and find the molecular mechanism related to the development of emphysema to offer potential targets for more precise treatment of patients with COPD.

Methods

Combined analyses of COPD emphysema phenotype lung tissue-related datasets, GSE47460 and GSE1122, were performed. CIBERSORT was used to assess the distribution of tissue-infiltrating immune cells. Weighted gene co-expression network analysis (WGCNA) was used to select immune key genes closely related to clinical features. Rt-qPCR experiments were used for the validation of key genes. Emphysema risk prediction models were constructed by logistic regression analysis and a nomogram was develope

SUBMITTER: Wang D 

PROVIDER: S-EPMC9563378 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature