Evidence map›Paper›PMID 40638054›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

An Integrated High-Throughput Proteocistromic Framework for Mapping the Interactome and Targetome of Human Transcription Factors.

Dicle Malaymar Pinar, Andrea Cerullo, Zixian Wang, Zenglai Tan, Markku Varjosalo

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Dicle Malaymar PinarInstitute of Biotechnology, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.
Andrea CerulloInstitute of Biotechnology, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.
Zixian WangMOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology of School Basic Medical Sciences, Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, China.
Zenglai TanInstitute of Biotechnology, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland.
Markku VarjosaloInstitute of Biotechnology, Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland. markku.varjosalo@helsinki.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcription factors (TFs) are the main regulators of gene expression, controlling diverse cellular processes such as development, differentiation, and disease progression. A comprehensive analysis of their interactomes and targetomes provides valuable insights into their functions, regulatory mechanisms, and context-dependent roles. This chapter presents a robust methodological framework for investigating the interactome and targetome of TFs, applicable to a wide range of TF families. This workflow integrates advanced proteomic approaches-affinity purification mass spectrometry (AP-MS) and proximity-dependent biotinylation (BioID)-with the cistromic method, chromatin immunoprecipitation sequencing (ChIP-Seq), to identify both stable and transient protein-protein interactions (PPIs) and to identify interactions with DNA (e.g., DNA-binding targets of TFs). The workflow involves the generation of inducible cell lines expressing each TF under study and performing three parallel proteocistromic experiments (AP-MS, BioID, and ChIP-Seq) along with data analysis for network visualization and functional annotation. The workflow is adaptable to various TF families and experimental contexts, offering a versatile platform for uncovering the dynamic regulatory networks that TFs mediate, on both medium and large scales. This workflow advances our ability to comprehensively characterize TF functions, facilitating a deeper understanding of gene regulation and its implications in both health and disease.

Indexed as

Protein Interaction MappingProteomicsTranscription FactorsBiotinylationChromatin Immunoprecipitation SequencingHumansMass SpectrometryProtein BindingProtein Interaction MapsWorkflowTranscription FactorsAffinity purificationBioIDChIP-SeqInteraction proteomicsProtein–protein interactions (PPIs)ProteocistromicProximity-dependent biotinylationTranscriptional regulationTranscription factors (TFs)

Identifiers

PMID40638054

What OpenQuestion holds

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Registered trials

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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.