Evidence map›Paper›PMID 39385066›Full record

ArticleBMC bioinformatics2024

MethylSeqLogo: DNA methylation smart sequence logos.

Fei-Man Hsu, Paul Horton

Erratum issuedAbstract read
In one paragraph

Article in BMC bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

2 authors.

Fei-Man HsuDepartment of Molecular Cell and Developmental Biology, University of California, Los Angeles, USA.
Paul HortonDepartment of Computer Science and Information Engineering, National Cheng Kung University, 1 University Road, Tainan, 70101, Taiwan. paulh@iscb.org.ORCID http://orcid.org/0000-0002-0916-7339

Funding

Ministry of Science and Technology, Taiwan 108-2218-E-006-057-MY3
6 · The paper itself

Abstract

backgroundSome transcription factors, MYC for example, bind sites of potentially methylated DNA. This may increase binding specificity as such sites are (1) highly under-represented in the genome, and (2) offer additional, tissue specific information in the form of hypo- or hyper-methylation. Fortunately, bisulfite sequencing data can be used to investigate this phenomenon.

methodWe developed MethylSeqLogo, an extension of sequence logos which includes new elements to indicate DNA methylation and under-represented dimers in each position of a set binding sites. Our method displays information from both DNA strands, and takes into account the sequence context (CpG or other) and genome region (promoter versus whole genome) appropriate to properly assess the expected background dimer frequency and level of methylation. MethylSeqLogo preserves sequence logo semantics-the relative height of nucleotides within a column represents their proportion in the binding sites, while the absolute height of each column represents information (relative entropy) and the height of all columns added together represents total information

resultsWe present figures illustrating the utility of using MethylSeqLogo to summarize data from several CpG binding transcription factors. The logos show that unmethylated CpG binding sites are a feature of transcription factors such as MYC and ZBTB33, while some other CpG binding transcription factors, such as CEBPB, appear methylation neutral.

conclusionsOur software enables users to explore bisulfite and ChIP sequencing data sets-and in the process obtain publication quality figures.

Indexed as

DNA MethylationBinding SitesCpG IslandsHumansPromoter Regions, GeneticSequence Analysis, DNASoftwareTranscription FactorsTranscription FactorsDNA methylationTranscription Factor Binding SitesVisualization

Identifiers

PMID39385066
PMCPMC11462690

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.