Evidence map›Paper›PMID 34465294›Full record

ArticleBMC molecular and cell biology2021

Systematic identification of non-canonical transcription factor motifs.

Luis Chumpitaz-Diaz, Md Abul Hassan Samee, Katherine S Pollard

Open access · goldAbstract read
In one paragraph

Article in BMC molecular and cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

3 authors at 3 institutions in 1 country.

Luis Chumpitaz-DiazBiophysics Program, Stanford University, Stanford, CA, USA.
Md Abul Hassan SameeDepartment of Molecular Physiology and Biophysics, Baylor College of Medicine, Houston,, TX, USA. samee@bcm.edu.
Katherine S PollardGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA. katherine.pollard@gladstone.ucsf.edu.
Baylor College of Medicine · USGladstone Institutes · USStanford University · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
SF BUILD: Enabling Students to Represent in ScienceTL4GM118986 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI MARQUEZ-MAGANA, LETICIA MARIA, MORRIS, MEGHAN D · 2015 to 2022
$5.4M
NCATS NIH HHS UL1 TR001872NIGMS NIH HHS TL4 GM118986
6 · The paper itself

Abstract

Sequence-specific transcription factors (TFs) recognize motifs of related nucleotide sequences at their DNA binding sites. Upon binding at these sites, TFs regulate critical molecular processes such as gene expression. It is widely assumed that a TF recognizes a single "canonical" motif, although recent studies have identified additional "non-canonical" motifs for some TFs. A comprehensive approach to identify non-canonical DNA binding motifs and the functional importance of those motifs' matches in the human genome is necessary for fully understanding the mechanisms of TF-regulated molecular processes in human cells. To address this need, we developed a statistical pipeline for in vitro HT-SELEX data that identifies and characterizes the distributions of non-canonical TF motifs in a stringent manner. Analyzing ~170 human TFs' HT-SELEX data, we found non-canonical motifs for 19 TFs (11%). These non-canonical motifs occur independently of the TFs' canonical motifs. Non-canonical motif occurrences in the human genome show similar evolutionary conservation to canonical motif occurrences, explain TF binding in locations without canonical motifs, and occur within gene promoters and epigenetically marked regulatory sequences in human cell lines and tissues. Our approach and collection of non-canonical motifs expand current understanding of functionally relevant DNA binding sites for human TFs.

Indexed as

DNA-Binding ProteinsTranscription FactorsBinding SitesChromatin ImmunoprecipitationComputational BiologyHumansNucleotide MotifsProtein BindingSequence Analysis, DNADNA-Binding ProteinsTranscription Factors

Identifiers

PMID34465294
PMCPMC8408965
OpenAlexW3196404414

What OpenQuestion holds

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LicenceCC BY
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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.