Evidence map›Paper›PMID 33435872›Full record

ArticleBMC bioinformatics2021

Drug perturbation gene set enrichment analysis (dpGSEA): a new transcriptomic drug screening approach.

Mike Fang, Brian Richardson, Cheryl M Cameron, Jean-Eudes Dazard, Mark J Cameron

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Frontiers in immunology · 2026
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  3. Drug Repurposing for Frozen Shoulder; a Bioinformatics Meta-Analysis.The archives of bone and joint surgery · 2025
    Article
  4. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Mike FangDepartment 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.
Brian RichardsonDepartment 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.
Cheryl M CameronDepartment of Nutrition, Case Western Reserve University, Cleveland, OH, USA.
Jean-Eudes DazardCenter for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH, USA. jxd101@case.edu.
Mark J CameronDepartment 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. mark.cameron@case.edu.ORCID http://orcid.org/0000-0003-4768-4094
Cornell University · USCase Western Reserve University · US

Funding

Psoriasis Center of Research TranslationP50AR070590 · NIAMS · CASE WESTERN RESERVE UNIVERSITY · PI CAMERON, MARK JAMES · 2017 to 2021
$6.5M
BIOMETRIC-GENETIC ANALYSIS OF CARDIOVASCULAR DISEASET32HL007567 · NHLBI · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ZHU, XIAOFENG · 1985 to 2021
$6.0M
Case/UHC Center for AIDS research P30AI036219NHBLI/NIH T32HL007567Psoriasis Center of Research Translation P50AR070590
6 · The paper itself

Abstract

backgroundIn 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.

resultsWe 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 .

conclusionsdpGSEA 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.

Indexed as

Computational BiologyCD4-Positive T-LymphocytesCell CycleDrug Evaluation, PreclinicalHumansPhenotypeProbabilityTranscriptomeDrug discoveryGene set enrichment analysisTranscriptomics

Identifiers

PMID33435872
PMCPMC7805197
OpenAlexW3120798591

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.