Your browser doesn't support javascript.
loading
Drug perturbation gene set enrichment analysis (dpGSEA): a new transcriptomic drug screening approach.
Fang, Mike; Richardson, Brian; Cameron, Cheryl M; Dazard, Jean-Eudes; Cameron, Mark J.
Affiliation
  • Fang M; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Wolstein Research Building, 2103 Cornell Road, Suite 1-314, Cleveland, OH, 44106-7295, USA.
  • Richardson B; Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Wolstein Research Building, 2103 Cornell Road, Suite 1-314, Cleveland, OH, 44106-7295, USA.
  • Cameron CM; Systems Biology and Bioinformatics Program, Case Western Reserve University, Cleveland, OH, USA.
  • Dazard JE; Department of Nutrition, Case Western Reserve University, Cleveland, OH, USA.
  • Cameron MJ; Systems Biology and Bioinformatics Program, Case Western Reserve University, Cleveland, OH, USA.
BMC Bioinformatics ; 22(1): 22, 2021 Jan 12.
Article in En | MEDLINE | ID: mdl-33435872
ABSTRACT

BACKGROUND:

In this study, we demonstrate that our modified Gene Set Enrichment Analysis (GSEA) method, drug perturbation GSEA (dpGSEA), can detect phenotypically relevant drug targets through a unique transcriptomic enrichment that emphasizes biological directionality of drug-derived gene sets.

RESULTS:

We detail our dpGSEA method and show its effectiveness in detecting specific perturbation of drugs in independent public datasets by confirming fluvastatin, paclitaxel, and rosiglitazone perturbation in gastroenteropancreatic neuroendocrine tumor cells. In drug discovery experiments, we found that dpGSEA was able to detect phenotypically relevant drug targets in previously published differentially expressed genes of CD4+T regulatory cells from immune responders and non-responders to antiviral therapy in HIV-infected individuals, such as those involved with virion replication, cell cycle dysfunction, and mitochondrial dysfunction. dpGSEA is publicly available at https//github.com/sxf296/drug_targeting .

CONCLUSIONS:

dpGSEA is an approach that uniquely enriches on drug-defined gene sets while considering directionality of gene modulation. We recommend dpGSEA as an exploratory tool to screen for possible drug targeting molecules.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Drug Evaluation, Preclinical / Transcriptome Type of study: Diagnostic_studies / Screening_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Drug Evaluation, Preclinical / Transcriptome Type of study: Diagnostic_studies / Screening_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: United States