Evidence map›Paper›PMID 35609982›Full record

ArticleNucleic acids research2022

PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases.

Tianyuan Liu, Pedro Salguero, Marko Petek, Carlos Martinez-Mira, Leandro Balzano-Nogueira, Živa Ramšak, Lauren McIntyre, Kristina Gruden, Sonia Tarazona, Ana Conesa

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Comparison ofMicrobiology (Reading, England) · 2026
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  7. PMconv: How to Compare Proteomes and Metabolomes?International journal of molecular sciences · 2026
    Article
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  19. Article
  20. Biosynthesis of bromoform byBiotechnology reports (Amsterdam, Netherlands) · 2025
    Article
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

10 authors.

Tianyuan LiuDepartment of Mechanical Engineering, School of Engineering, Cardiff University, Cardiff, UK.
Pedro SalgueroDepartment of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, Spain.
Marko PetekDepartment of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia.ORCID 0000-0003-3644-7827
Carlos Martinez-MiraBiobam Bioinformatics, Valencia, Spain.
Leandro Balzano-NogueiraDiabetes Institute, University of Florida, Gainesville, USA.
Živa RamšakDepartment of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia.ORCID 0000-0003-0913-2715
Lauren McIntyreDepartment of Molecular Genetics and Microbiology, Genetics Institute, University of Florida, Gainesville, USA.
Kristina GrudenDepartment of Biotechnology and Systems Biology, National Institute of Biology, Ljubljana, Slovenia.
Sonia TarazonaDepartment of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, Valencia, Spain.
Ana ConesaInstitute for Integrative Systems Biology, Spanish National Research Council (CSIC), Paterna, Spain.ORCID 0000-0001-9597-311X

Funding

Galaxy platform for integrative metabolomics and transcriptomics analysisR03CA222444 · NCI · UNIVERSITY OF FLORIDA · PI CONESA CEGARRA, ANA VICTORIA · 2017 to 2017
$153k
NCI NIH HHS R03 CA222444
6 · The paper itself

Abstract

PaintOmics is a web server for the integrative analysis and visualisation of multi-omics datasets using biological pathway maps. PaintOmics 4 has several notable updates that improve and extend analyses. Three pathway databases are now supported: KEGG, Reactome and MapMan, providing more comprehensive pathway knowledge for animals and plants. New metabolite analysis methods fill gaps in traditional pathway-based enrichment methods. The metabolite hub analysis selects compounds with a high number of significant genes in their neighbouring network, suggesting regulation by gene expression changes. The metabolite class activity analysis tests the hypothesis that a metabolic class has a higher-than-expected proportion of significant elements, indicating that these compounds are regulated in the experiment. Finally, PaintOmics 4 includes a regulatory omics module to analyse the contribution of trans-regulatory layers (microRNA and transcription factors, RNA-binding proteins) to regulate pathways. We show the performance of PaintOmics 4 on both mouse and plant data to highlight how these new analysis features provide novel insights into regulatory biology. PaintOmics 4 is available at https://paintomics.org/.

Indexed as

MicroRNAsMultiomicsAnimalsComputational BiologyDatabases, FactualMiceTranscription FactorsMicroRNAsTranscription Factors

Identifiers

PMID35609982
PMCPMC9252773

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.