Evidence map›Paper›PMID 32907876›Full record

ArticleMolecular & cellular proteomics : MCP2020

ReactomeGSA - Efficient Multi-Omics Comparative Pathway Analysis.

Johannes Griss, Guilherme Viteri, Konstantinos Sidiropoulos, Vy Nguyen, Antonio Fabregat, Henning Hermjakob

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 284 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
284citing papers in PubMed, 2 pooled it
13.7field-weighted citation impact, top 1% 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

284 citing papers in PubMed, 2 syntheses or guidelines pooled it, 344 citations in OpenAlex.

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  9. Identification of Epigenetic Regulator-Associated Genes in Keloid Disease Through Integrated Bulk and Single-Cell Transcriptomics With RT-qPCR Validation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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224 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 3 countries.

Johannes GrissEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom; Department of Dermatology, Medical University of Vienna, Vienna, Austria. Electronic address: johannes.griss@meduniwien.ac.at.
Guilherme ViteriEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom.
Konstantinos SidiropoulosEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom.
Vy NguyenDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Antonio FabregatEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom.
Henning HermjakobEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom. Electronic address: hhe@ebi.ac.uk.
European Bioinformatics Institute · GBMedical University of Vienna · AT

Funding

Reactome - CoreU41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI STEIN, LINCOLN D. · 2012 to 2021
$14.5M
Reactome: An Open Knowledgebase of Human PathwaysP41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI STEIN, LINCOLN D. · 2007 to 2011
$4.5M
Austrian Science Fund FWF P 30325NHGRI NIH HHS P41 HG003751NHGRI NIH HHS U41 HG003751
6 · The paper itself

Abstract

Pathway analyses are key methods to analyze 'omics experiments. Nevertheless, integrating data from different 'omics technologies and different species still requires considerable bioinformatics knowledge.Here we present the novel ReactomeGSA resource for comparative pathway analyses of multi-omics datasets. ReactomeGSA can be used through Reactome's existing web interface and the novel ReactomeGSA R Bioconductor package with explicit support for scRNA-seq data. Data from different species is automatically mapped to a common pathway space. Public data from ExpressionAtlas and Single Cell ExpressionAtlas can be directly integrated in the analysis. ReactomeGSA greatly reduces the technical barrier for multi-omics, cross-species, comparative pathway analyses.We used ReactomeGSA to characterize the role of B cells in anti-tumor immunity. We compared B cell rich and poor human cancer samples from five of the Cancer Genome Atlas (TCGA) transcriptomics and two of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) proteomics studies. B cell-rich lung adenocarcinoma samples lacked the otherwise present activation through NFkappaB. This may be linked to the presence of a specific subset of tumor associated IgG+ plasma cells that lack NFkappaB activation in scRNA-seq data from human melanoma. This showcases how ReactomeGSA can derive novel biomedical insights by integrating large multi-omics datasets.

Indexed as

Databases, GeneticProteomicsSoftwareB-LymphocytesHumansInternetUser-Computer Interfacebioinformatics softwarecancer biology*cancer immunologydata evaluationmelanomamulti-omics data integrationPathway analysistumor microenvironment

Identifiers

PMID32907876
PMCPMC7710148
OpenAlexW3083903534

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.