Evidence map›Paper›PMID 39494532›Full record

ArticleNucleic acids research2025

iModulonDB 2.0: dynamic tools to facilitate knowledge-mining and user-enabled analyses of curated transcriptomic datasets.

Edward A Catoiu, Jayanth Krishnan, Gaoyuan Li, Xuwen A Lou, Kevin Rychel, Yuan Yuan, Heera Bajpe, Arjun Patel, Donghui Choe, Jongoh Shin and 4 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Aerobicity stimulon iniScience · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Integrated genomic and proteomic analysis of the mouse-adaptedCurrent research in microbial sciences · 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

14 authors.

Edward A CatoiuDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.ORCID 0000-0001-8680-7291
Jayanth KrishnanDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Gaoyuan LiDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Xuwen A LouDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Kevin RychelDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Yuan YuanDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Heera BajpeDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Arjun PatelDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Donghui ChoeDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Jongoh ShinDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Joshua BurrowsDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Patrick V PhaneufThe Novo Nordisk Foundation (NNF) Center for Biosustainability, The Technical University of Denmark, Kongens Lyngby 2800, Denmark.ORCID 0000-0002-4122-6589
Daniel C ZielinskiDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92101, USA.

Funding

GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
NIGMS NIH HHS R01 GM057089NIH HHS R01 GM057089Novo Nordisk Foundation NNF20CC0035580
6 · The paper itself

Abstract

iModulons-sets of co-expressed genes identified through independent component analysis (ICA) of high-quality transcriptomic datasets-provide an unbiased, modular view of an organism's transcriptional regulatory network. Established in 2020, iModulonDB (iModulonDB.org) serves as a centralized repository of curated iModulon sets, enabling users to explore iModulons and download the associated transcriptomic data. This update reflects a significant expansion of the database-19 new ICA decompositions (+633%) spanning 8 925 expression profiles (+1370%), 503 studies (+2290%) and 12 additional organisms (+400%)-and introduces new features to help scientists decipher the mechanisms governing prokaryotic transcriptional regulation. To facilitate comprehension of the underlying expression profiles, the updated user-interface displays essential information about each data-generating study (e.g. the experimental conditions and publication abstract). Dashboards now include condition-specific coloring and highlight data generated from genetically perturbed strains, enabling users to rapidly interpret disruptions in transcriptional regulation. New interactive graphs rapidly convey omics-derived indicators (e.g. the explained variance of ICA decompositions, genetic overlap between iModulons and regulons). Direct links to operon diagrams (BioCyc) and protein-protein interaction networks (STRING) provide users with seamless access to external resources for further assessment of iModulons. Lastly, a new suite of search-driven and species-wide analysis tools promotes user-engagement with iModulons, reinforcing iModulonDB's role as a dynamic, interactive knowledgebase of prokaryotic transcriptional regulation.

Indexed as

Databases, GeneticData MiningGene Regulatory NetworksSoftwareTranscriptomeGene Expression ProfilingGene Expression RegulationUser-Computer Interface

Identifiers

PMID39494532
PMCPMC11701608

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.