Evidence map›Paper›PMID 40279252›Full record

ArticleCurrent protocols2025

Leveraging the MethMotif Toolkit to Characterize Context-Specific Features and Roles of Methylation Sensitive Transcription Factors.

Matthew Dyer, Gastongay Siu, Denis Thieffry, Touati Benoukraf

Abstract read
In one paragraph

Article in Current protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Matthew DyerDivision of BioMedical Sciences, Faculty of Medicine, Craig L. Dobbin Genetics Research Centre Memorial, University of Newfoundland, St. John's, NL, Canada.ORCID https://orcid.org/0009-0006-1801-340X
Gastongay SiuDivision of BioMedical Sciences, Faculty of Medicine, Craig L. Dobbin Genetics Research Centre Memorial, University of Newfoundland, St. John's, NL, Canada.
Denis ThieffryDépartement de Biologie de l'École Normale Supérieure, PSL Research University, Paris, France.ORCID https://orcid.org/0000-0003-0271-1757
Touati BenoukrafDivision of BioMedical Sciences, Faculty of Medicine, Craig L. Dobbin Genetics Research Centre Memorial, University of Newfoundland, St. John's, NL, Canada.ORCID https://orcid.org/0000-0002-4789-8028

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a comprehensive guide for using the MethMotif platform, which includes the MethMotif database, the TFregulomeR R package, and a new R library, Forked-TF, designed specifically for analyzing leucine-zipper transcription factors (TFs) that bind DNA as dimers. The MethMotif platform integrates transcription factor binding site (TFBS) motifs with DNA methylation profiles, providing an in-depth analysis of how methylation modulates TF binding across different cell types and conditions. The protocols are organized into three main workflows: (1) Exploration of transcription factor dimerization partners, (2) visualization of methylation-specific TF motifs using TFregulomeR, and (3) characterization of leucine-zipper TF binding patterns with a focus on dimerization. Using the platform's MethMotif database, users can retrieve ChIP-seq and DNA methylation data, intersect TFBS peak regions, and generate TFBS-methylation-informed motif logos. A case study of CEBPB in K562 cells is included to demonstrate the use of the platform, showing how to identify TF dimers, analyze their co-binding behavior, and visualize the impact of DNA methylation on binding specificity. The protocols also provide step-by-step instructions for software installation, data input formats, and interpretation of results, making it accessible to researchers with varying levels of computational expertise. Through these protocols, users can uncover how DNA methylation and TF dimerization influence gene regulatory networks, with a focus on leucine-zipper TFs in a cell-type-specific context. © 2025 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Exploration of transcription factor dimerization partners Support Protocol 1: Software installation Support Protocol 2: Docker installation Support Protocol 3: Verifying installation Basic Protocol 2: Visualization of alternative cofactors Basic Protocol 3: Characterization of bZIP partners/cofactors Basic Protocol 4: Context-independent and context-dependent analysis.

Indexed as

Computational BiologyDNA MethylationSoftwareTranscription FactorsBinding SitesDatabases, GeneticHumansK562 CellsLeucine ZippersProtein BindingTranscription Factorsbioinformatics protocolChIP‐Seqtranscription factors

Identifiers

PMID40279252
PMCPMC12026370

What OpenQuestion holds

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LicenceCC BY-NC
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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.