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Differential expression and functional analysis of lung cancer gene expression datasets: A systems biology perspective.

ABSTRACT: There is an inherent need to identify differentially expressed genes (DEGs), characterize these genes and provide functional enrichment analysis to the publicly available lung cancer datasets, primarily coming from next-generation sequencing data or microarray gene expression studies. The risk of lung cancer in patients with smokers is manifold, and with chronic obstructive pulmonary disease (COPD) it is 2- to 5-fold greater, compared with smokers without COPD. In the present study, differential expression analysis and gene functional enrichment analysis of lung cancer gene expression datasets obtained from NCBI-GEO were performed. The result identifies a significant number of DEGs which have at least a 2-fold change in their expression. Among them, six genes were found to have a 4-fold change in the expression level, and 47 genes exhibited a 3-fold change in the expression. It was also observed that most of the genes were upregulated and few genes were downregulated.

SUBMITTER: Bao M

PROVIDER: S-EPMC6546979 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Differential expression and functional analysis of lung cancer gene expression datasets: A systems biology perspective.

Bao Minwei M Jiang Gening G

Oncology letters 20190515 1

There is an inherent need to identify differentially expressed genes (DEGs), characterize these genes and provide functional enrichment analysis to the publicly available lung cancer datasets, primarily coming from next-generation sequencing data or microarray gene expression studies. The risk of lung cancer in patients with smokers is manifold, and with chronic obstructive pulmonary disease (COPD) it is 2- to 5-fold greater, compared with smokers without COPD. In the present study, differential ...[more]

PMID: 31289554

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Dataset Information

Differential expression and functional analysis of lung cancer gene expression datasets: A systems biology perspective.

Publications

Differential expression and functional analysis of lung cancer gene expression datasets: A systems biology perspective.

Similar Datasets

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