Evidence map›Paper›PMID 27915232›Full record

ArticleNucleic acids research2017

Quantitative profiling of selective Sox/POU pairing on hundreds of sequences in parallel by Coop-seq.

Yiming K Chang, Yogesh Srivastava, Caizhen Hu, Adam Joyce, Xiaoxiao Yang, Zheng Zuo, James J Havranek, Gary D Stormo, Ralf Jauch

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  14. Genome wide identification, phylogeny, and synteny analysis ofBiotechnology reports (Amsterdam, Netherlands) · 2021
    Article
  15. Article
  16. Article
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  19. Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    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

9 authors.

Yiming K ChangDepartment of Genetics and Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA.
Yogesh SrivastavaGenome Regulation Laboratory, Drug Discovery Pipeline, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
Caizhen HuGenome Regulation Laboratory, Drug Discovery Pipeline, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
Adam JoyceDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA.
Xiaoxiao YangGenome Regulation Laboratory, Drug Discovery Pipeline, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
Zheng ZuoDepartment of Genetics and Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA.
James J HavranekDepartment of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA.
Gary D StormoDepartment of Genetics and Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA stormo@wustl.edu.
Ralf JauchGenome Regulation Laboratory, Drug Discovery Pipeline, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China ralf@gibh.ac.cn.

Funding

DNA PATTERN IDENTIFICATION AND ANALYSISR01HG000249 · NHGRI · WASHINGTON UNIVERSITY · PI STORMO, GARY D · 1990 to 2017
$5.6M
A MOLECULAR TOOLKIT FOR SINGLE-MOLECULE PROTEIN SEQUENCINGR01GM101602 · NIGMS · WASHINGTON UNIVERSITY · PI HAVRANEK, JAMES J · 2012 to 2016
$1.4M
NHGRI NIH HHS R01 HG000249NIGMS NIH HHS R01 GM101602
6 · The paper itself

Abstract

Cooperative binding of transcription factors is known to be important in the regulation of gene expression programs conferring cellular identities. However, current methods to measure cooperativity parameters have been laborious and therefore limited to studying only a few sequence variants at a time. We developed Coop-seq (cooperativity by sequencing) that is capable of efficiently and accurately determining the cooperativity parameters for hundreds of different DNA sequences in a single experiment. We apply Coop-seq to 12 dimer pairs from the Sox and POU families of transcription factors using 324 unique sequences with changed half-site orientation, altered spacing and discrete randomization within the binding elements. The study reveals specific dimerization profiles of different Sox factors with Oct4. By contrast, Oct4 and the three neural class III POU factors Brn2, Brn4 and Oct6 assemble with Sox2 in a surprisingly indistinguishable manner. Two novel half-site configurations can support functional Sox/Oct dimerization in addition to known composite motifs. Moreover, Coop-seq uncovers a nucleotide switch within the POU half-site when spacing is altered, which is mirrored in genomic loci bound by Sox2/Oct4 complexes.

Indexed as

AnimalsDNAMiceModels, MolecularOctamer Transcription Factor-3POU Domain FactorsProtein BindingProtein ConformationProtein MultimerizationSOXB1 Transcription FactorsSOX Transcription FactorsDNAOctamer Transcription Factor-3POU Domain FactorsSOXB1 Transcription FactorsSOX Transcription Factors

Identifiers

PMID27915232
PMCPMC5314778

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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.