Evidence map›Paper›PMID 31665425›Full record

ArticleNucleic acids research2020

TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites.

Tsu-Pei Chiu, Beibei Xin, Nicholas Markarian, Yingfei Wang, Remo Rohs

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. 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
–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

28 citing papers in PubMed.

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  14. Harnessing regulatory networks in Actinobacteria for natural product discovery.Journal of industrial microbiology & biotechnology · 2024
    Review
  15. Article
  16. Towards rational computational peptide design.Frontiers in bioinformatics · 2022
    Article
  17. Host-pathogen protein-nucleic acid interactions: A comprehensive review.Computational and structural biotechnology journal · 2022
    Review
  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

5 authors.

Tsu-Pei ChiuQuantitative and Computational Biology, Departments of Biological Sciences, Chemistry, Physics & Astronomy, and Computer Science, University of Southern California, Los Angeles, CA 90089, USA.
Beibei XinQuantitative and Computational Biology, Departments of Biological Sciences, Chemistry, Physics & Astronomy, and Computer Science, University of Southern California, Los Angeles, CA 90089, USA.
Nicholas MarkarianQuantitative and Computational Biology, Departments of Biological Sciences, Chemistry, Physics & Astronomy, and Computer Science, University of Southern California, Los Angeles, CA 90089, USA.
Yingfei WangQuantitative and Computational Biology, Departments of Biological Sciences, Chemistry, Physics & Astronomy, and Computer Science, University of Southern California, Los Angeles, CA 90089, USA.
Remo RohsQuantitative and Computational Biology, Departments of Biological Sciences, Chemistry, Physics & Astronomy, and Computer Science, University of Southern California, Los Angeles, CA 90089, USA.

Funding

Inferring regulatory circuitry from microarray dataR01HG003008 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BUSSEMAKER, HARMEN J · 2004 to 2020
$7.0M
Quantitative Modeling of Transcription Factor-DNA BindingR35GM130376 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Remo Rohs · 2019 to 2026
$3.3M
Genome analysis based on the integration of DNA sequence and shapeR01GM106056 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROHS, REMO · 2014 to 2017
$1.3M
NHGRI NIH HHS R01 HG003008NIGMS NIH HHS R01 GM106056NIGMS NIH HHS R35 GM130376
6 · The paper itself

Abstract

TFBSshape (https://tfbsshape.usc.edu) is a motif database for analyzing structural profiles of transcription factor binding sites (TFBSs). The main rationale for this database is to be able to derive mechanistic insights in protein-DNA readout modes from sequencing data without available structures. We extended the quantity and dimensionality of TFBSshape, from mostly in vitro to in vivo binding and from unmethylated to methylated DNA. This new release of TFBSshape improves its functionality and launches a responsive and user-friendly web interface for easy access to the data. The current expansion includes new entries from the most recent collections of transcription factors (TFs) from the JASPAR and UniPROBE databases, methylated TFBSs derived from in vitro high-throughput EpiSELEX-seq binding assays and in vivo methylated TFBSs from the MeDReaders database. TFBSshape content has increased to 2428 structural profiles for 1900 TFs from 39 different species. The structural profiles for each TFBS entry now include 13 shape features and minor groove electrostatic potential for standard DNA and four shape features for methylated DNA. We improved the flexibility and accuracy for the shape-based alignment of TFBSs and designed new tools to compare methylated and unmethylated structural profiles of TFs and methods to derive DNA shape-preserving nucleotide mutations in TFBSs.

Indexed as

Databases, GeneticBinding SitesDNADNA MethylationMutationNucleotide MotifsProtein BindingSequence Analysis, DNATranscription FactorsDNATranscription Factors

Identifiers

PMID31665425
PMCPMC7145579

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.