Evidence map›Paper›PMID 30380113›Full record

ArticleNucleic acids research2019

MethMotif: an integrative cell specific database of transcription factor binding motifs coupled with DNA methylation profiles.

Quy Xiao Xuan Lin, Stephanie Sian, Omer An, Denis Thieffry, Sudhakar Jha, Touati Benoukraf

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

45 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 3 institutions in 3 countries.

Quy Xiao Xuan LinCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Stephanie SianCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Omer AnCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Denis ThieffryComputational Systems Biology Team, Institut de Biologie de l'École Normale Supérieure (IBENS), INSERM, École Normale Supérieure, PSL Research University, Paris, France.
Sudhakar JhaCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Touati BenoukrafCancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
National University of Singapore · SGInserm · FRMemorial University of Newfoundland · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several recent studies have portrayed DNA methylation as a new player in the recruitment of transcription factors (TF) within chromatin, highlighting a need to connect TF binding sites (TFBS) with their respective DNA methylation profiles. However, current TFBS databases are restricted to DNA binding motif sequences. Here, we present MethMotif, a two-dimensional TFBS database that records TFBS position weight matrices along with cell type specific CpG methylation information computed from a combination of ChIP-seq and whole genome bisulfite sequencing datasets. Integrating TFBS motifs with TFBS DNA methylation better portrays the features of DNA loci recognised by TFs. In particular, we found that DNA methylation patterns within TFBS can be cell specific (e.g. MAFF). Furthermore, for a given TF, different DNA methylation profiles are associated with different DNA binding motifs (e.g. REST). To date, MethMotif database records over 500 TFBSs computed from over 2000 ChIP-seq datasets in 11 different cell types. MethMotif portal is accessible through an open source web interface (https://bioinfo-csi.nus.edu.sg/methmotif) that allows users to intuitively explore the entire dataset and perform both single, and batch queries.

Indexed as

Binding SitesDatabases, Nucleic AcidDNA MethylationNucleotide MotifsTranscription FactorsChromatin ImmunoprecipitationComputational BiologyEpigenomicsGene Expression ProfilingProtein BindingWeb BrowserTranscription Factors

Identifiers

PMID30380113
PMCPMC6323897
OpenAlexW2899379544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.