Evidence map›Paper›PMID 27526722›Full record

ArticleBMC genomics2016

Motif oriented high-resolution analysis of ChIP-seq data reveals the topological order of CTCF and cohesin proteins on DNA.

Gergely Nagy, Erik Czipa, László Steiner, Tibor Nagy, Sándor Pongor, László Nagy, Endre Barta

Abstract read
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Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Review
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  8. Smc5/6 silences episomal transcription by a three-step function.Nature structural & molecular biology · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. CTCF mediates chromatin looping via N-terminal domain-dependent cohesin retention.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. On the problem of confounders in modeling gene expression.Bioinformatics (Oxford, England) · 2019
    Review
  18. Review
  19. 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

7 authors.

Gergely NagyDepartment of Biochemistry and Molecular Biology, University of Debrecen, Debrecen, H-4032, Hungary.
Erik CzipaDepartment of Biochemistry and Molecular Biology, University of Debrecen, Debrecen, H-4032, Hungary.
László SteinerUD-GenoMed Medical Genomic Technologies Research & Development Services Ltd., Nagyerdei krt. 98., Debrecen, H-4032, Hungary.
Tibor NagyAgricultural Genomics and Bioinformatics Group, Agricultural Biotechnology Institute, NARIC, Gödöllő, H-2100, Hungary.
Sándor PongorFaculty of Information Technology and Bionics, Pázmány Péter Catholic University Budapest H-1083, Gödöllő, Hungary.
László NagyDepartment of Biochemistry and Molecular Biology, University of Debrecen, Debrecen, H-4032, Hungary.
Endre BartaDepartment of Biochemistry and Molecular Biology, University of Debrecen, Debrecen, H-4032, Hungary. barta.endre@unideb.hu.ORCID 0000-0002-6753-0714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChIP-seq provides a wealth of information on the approximate location of DNA-binding proteins genome-wide. It is known that the targeted motifs in most cases can be found at the peak centers. A high resolution mapping of ChIP-seq peaks could in principle allow the fine mapping of the protein constituents within protein complexes, but the current ChIP-seq analysis pipelines do not target the basepair resolution strand specific mapping of peak summits.

resultsThe approach proposed here is based on i) locating regions that are bound by a sufficient number of proteins constituting a complex; ii) determining the position of the underlying motif using either a direct or a de novo motif search approach; and iii) determining the exact location of the peak summits with respect to the binding motif in a strand specific manner. We applied this method for analyzing the CTCF/cohesin complex, which holds together DNA loops. The relative positions of the constituents of the complex were determined with one-basepair estimated accuracy. Mapping the positions on a 3D model of DNA made it possible to deduce the approximate local topology of the complex that allowed us to predict how the CTCF/cohesin complex locks the DNA loops. As the positioning of the proteins was not compatible with previous models of loop closure, we proposed a plausible "double embrace" model in which the DNA loop is held together by two adjacent cohesin rings in such a way that the ring anchored by CTCF to one DNA duplex encircles the other DNA double helix and vice versa.

conclusionsA motif-centered, strand specific analysis of ChIP-seq data improves the accuracy of determining peak positions. If a genome contains a large number of binding sites for a given protein complex, such as transcription factor heterodimers or transcription factor/cofactor complexes, the relative position of the constituent proteins on the DNA can be established with an accuracy that allow one to deduce the local topology of the protein complex. The proposed high resolution mapping approach of ChIP-seq data is applicable for detecting the contact topology of DNA-binding protein complexes.

Indexed as

AnimalsBinding SitesCCCTC-Binding FactorCell Cycle ProteinsChromatin ImmunoprecipitationChromosomal Proteins, Non-HistoneCohesinsDNAHigh-Throughput Nucleotide SequencingHumansMiceNuclear ProteinsNucleic Acid ConformationProtein BindingRepressor ProteinsSequence Analysis, DNACCCTC-Binding FactorCell Cycle ProteinsChromosomal Proteins, Non-HistoneCohesinsCTCF protein, humanCtcf protein, mouseDNANuclear ProteinsRepressor ProteinsChIP-seqcohesinCTCFDNA loop

Identifiers

PMID27526722
PMCPMC4986361

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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.