Evidence map›Paper›PMID 35140242›Full record

ArticleNature communications2022

Human transcription factor protein interaction networks.

Helka Göös, Matias Kinnunen, Kari Salokas, Zenglai Tan, Xiaonan Liu, Leena Yadav, Qin Zhang, Gong-Hong Wei, Markku Varjosalo

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
18.0field-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

103 citing papers in PubMed, 161 citations in OpenAlex.

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  17. [Nuclear Factor I-X Regulates Molecular Pathways Related to Craniofacial Development Through Phase Separation].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  18. Article
  19. Review
  20. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review

43 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

9 authors at 3 institutions in 2 countries.

Helka GöösInstitute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-6175-4872
Matias KinnunenInstitute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland.
Kari Salokas *Institute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-4471-6698
Zenglai Tan *Biocenter Oulu and Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Xiaonan LiuInstitute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-9600-0536
Leena YadavInstitute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland.
Qin ZhangBiocenter Oulu and Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Gong-Hong WeiBiocenter Oulu and Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Markku VarjosaloInstitute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland. markku.varjosalo@helsinki.fi.ORCID http://orcid.org/0000-0002-1340-9732
University of Helsinki · FIUniversity of Oulu · FIShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factors (TFs) interact with several other proteins in the process of transcriptional regulation. Here, we identify 6703 and 1536 protein-protein interactions for 109 different human TFs through proximity-dependent biotinylation (BioID) and affinity purification mass spectrometry (AP-MS), respectively. The BioID analysis identifies more high-confidence interactions, highlighting the transient and dynamic nature of many of the TF interactions. By performing clustering and correlation analyses, we identify subgroups of TFs associated with specific biological functions, such as RNA splicing or chromatin remodeling. We also observe 202 TF-TF interactions, of which 118 are interactions with nuclear factor 1 (NFI) family members, indicating uncharacterized cross-talk between NFI signaling and other TF signaling pathways. Moreover, TF interactions with basal transcription machinery are mainly observed through TFIID and SAGA complexes. This study provides a rich resource of human TF interactions and also act as a starting point for future studies aimed at understanding TF-mediated transcription.

Indexed as

Protein Interaction MapsTranscription FactorsBiotinylationChromatinChromatography, AffinityGene Expression RegulationGene Regulatory NetworksHEK293 CellsHumansMass SpectrometryNFI Transcription FactorsProteomicsChromatinNFI Transcription FactorsTranscription Factors

Identifiers

PMID35140242
PMCPMC8828895
OpenAlexW4210828082

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.