Evidence map›Paper›PMID 25578969›Full record

ArticleNucleic acids research2015

DNA-mediated cooperativity facilitates the co-selection of cryptic enhancer sequences by SOX2 and PAX6 transcription factors.

Kamesh Narasimhan, Shubhadra Pillay, Yong-Heng Huang, Sriram Jayabal, Barath Udayasuryan, Veeramohan Veerapandian, Prasanna Kolatkar, Vlad Cojocaru, Konstantin Pervushin, Ralf Jauch

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 42 citations in OpenAlex.

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  11. Allosterism and signal transfer in DNA.Nucleic acids research · 2018
    Article
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  13. Review
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  18. Mechanisms of Specificity for Hox Factor Activity.Journal of developmental biology · 2016
    Article
  19. 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

10 authors at 7 institutions in 5 countries.

Kamesh NarasimhanDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.
Shubhadra PillayGenome Regulation Laboratory, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences,190 Kai Yuan Avenue, Science Park, Guangzhou 510530, China.
Yong-Heng HuangLaboratory for Structural Biochemistry, Genome Institute of Singapore, Singapore 138672, Singapore.
Sriram JayabalDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada Integrated Program in Neuroscience, McGill University, Montreal, Quebec H3G 0B1, Canada.
Barath UdayasuryanDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada.
Veeramohan VeerapandianLaboratory for Structural Biochemistry, Genome Institute of Singapore, Singapore 138672, Singapore University of Chinese Academy of Sciences, No. 19A Yuquanlu, Beijing 100049, China.
Prasanna KolatkarQatar Biomedical Research Institute, Qatar Foundation, PO Box 5825, Doha, Qatar.
Vlad CojocaruComputational Structural Biology Laboratory, Department of Cell and Developmental Biology, Max Planck Institute for Molecular Biomedicine, Röntgenstrasse 20, Münster 48149, Germany.
Konstantin PervushinGenome Regulation Laboratory, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences,190 Kai Yuan Avenue, Science Park, Guangzhou 510530, China.
Ralf JauchLaboratory for Structural Biochemistry, Genome Institute of Singapore, Singapore 138672, Singapore ralf@gibh.ac.cn.
Genome Institute of Singapore · SGGuangzhou Institutes of Biomedicine and Health · CNMax Planck Institute for Molecular Biomedicine · DEMcGill University · CANanyang Technological University · SGQatar Foundation · QAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sox2 and Pax6 are transcription factors that direct cell fate decision during neurogenesis, yet the mechanism behind how they cooperate on enhancer DNA elements and regulate gene expression is unclear. By systematically interrogating Sox2 and Pax6 interaction on minimal enhancer elements, we found that cooperative DNA recognition relies on combinatorial nucleotide switches and precisely spaced, but cryptic composite DNA motifs. Surprisingly, all tested Sox and Pax paralogs have the capacity to cooperate on such enhancer elements. NMR and molecular modeling reveal very few direct protein-protein interactions between Sox2 and Pax6, suggesting that cooperative binding is mediated by allosteric interactions propagating through DNA structure. Furthermore, we detected and validated several novel sites in the human genome targeted cooperatively by Sox2 and Pax6. Collectively, we demonstrate that Sox-Pax partnerships have the potential to substantially alter DNA target specificities and likely enable the pleiotropic and context-specific action of these cell-lineage specifiers.

Indexed as

Enhancer Elements, GeneticAmino Acid SequenceBase SequenceDNADNA PrimersElectrophoretic Mobility Shift AssayEye ProteinsHomeodomain ProteinsHumansMolecular Sequence DataNuclear Magnetic Resonance, BiomolecularPaired Box Transcription FactorsPAX6 Transcription FactorRepressor ProteinsSequence Homology, Amino AcidSOXB1 Transcription FactorsDNADNA PrimersEye ProteinsHomeodomain ProteinsPaired Box Transcription FactorsPAX6 protein, humanPAX6 Transcription FactorRepressor ProteinsSOX2 protein, humanSOXB1 Transcription Factors

Identifiers

PMID25578969
PMCPMC4330359
OpenAlexW1985265438

What OpenQuestion holds

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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.