Evidence map›Paper›PMID 29748466›Full record

ArticleMolecules (Basel, Switzerland)2018

Detecting Differential Transcription Factor Activity from ATAC-Seq Data.

Ignacio J Tripodi, Mary A Allen, Robin D Dowell

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 41 citations in OpenAlex.

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  12. Macrophage programming is regulated by a cooperative interaction between fatty acid binding protein 5 and peroxisome proliferator-activated receptor γ.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    Article
  13. Review
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  18. Article
  19. Article
  20. Metabolic effects of air pollution exposure and reversibility.The Journal of clinical investigation · 2020
    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

3 authors at 1 institution in 1 country.

Ignacio J TripodiComputer Science, University of Colorado, Boulder, CO 80305, USA. ignacio.tripodi@colorado.edu.ORCID 0000-0003-3066-4273
Mary A AllenBioFrontiers Institute, University of Colorado, Boulder, CO 80303, USA. mary.a.allen@colorado.edu.ORCID 0000-0001-7490-0165
Robin D DowellComputer Science, University of Colorado, Boulder, CO 80305, USA. robin.dowell@colorado.edu.ORCID 0000-0001-7665-9985
University of Colorado Boulder · US

Funding

Computational Bioscience Program Training GrantT15LM009451 · NLM · UNIVERSITY OF COLORADO DENVER · PI Katherina Kechris-Mays, Arjun Krishnan · 2007 to 2026
$11.7M
A High-memory Supercomputer for Proteomics, Text Mining and Microbiome ResearchS10OD012300 · OD · UNIVERSITY OF COLORADO · PI AHN, NATALIE G. · 2013 to 2013
$1.9M
NIH HHS S10 OD012300NLM NIH HHS T15 LM009451
6 · The paper itself

Abstract

Transcription factors are managers of the cellular factory, and key components to many diseases. Many non-coding single nucleotide polymorphisms affect transcription factors, either by directly altering the protein or its functional activity at individual binding sites. Here we first briefly summarize high-throughput approaches to studying transcription factor activity. We then demonstrate, using published chromatin accessibility data (specifically ATAC-seq), that the genome-wide profile of TF recognition motifs relative to regions of open chromatin can determine the key transcription factor altered by a perturbation. Our method of determining which TFs are altered by a perturbation is simple, is quick to implement, and can be used when biological samples are limited. In the future, we envision that this method could be applied to determine which TFs show altered activity in response to a wide variety of drugs and diseases.

Indexed as

Sequence Analysis, DNACell Line, TumorDiseaseHumansMutationNucleotide MotifsTranscription FactorsTranscription FactorsATAC-seqDAStkDNase I cleavagemotifopen chromatinperturbationRNA-seqtranscription factor

Identifiers

PMID29748466
PMCPMC6099720
OpenAlexW2800927494

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.