Evidence map›Paper›PMID 33465072›Full record

ArticlePLoS computational biology2021

Genome-wide prediction of topoisomerase IIβ binding by architectural factors and chromatin accessibility.

Pedro Manuel Martínez-García, Miguel García-Torres, Federico Divina, José Terrón-Bautista, Irene Delgado-Sainz, Francisco Gómez-Vela, Felipe Cortés-Ledesma

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Modulation of AAV transduction and integration targeting by topoisomerase poisons.Molecular therapy. Methods & clinical development · 2024
    Article
  7. Article
  8. Article
  9. Loss of Adaptive DNA Breaks in Alzheimer's Disease Brains.Journal of Alzheimer's disease : JAD · 2024
    Article
  10. Loss of Adaptive DNA Breaks in Alzheimer's Disease Brains.bioRxiv : the preprint server for biology · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Review
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 at 3 institutions in 1 country.

Pedro Manuel Martínez-GarcíaCentro Andaluz de Biología Molecular y Medicina Regenerativa (CABIMER), CSIC-Universidad de Sevilla-Universidad Pablo de Olavide, Seville, Spain.ORCID 0000-0002-2119-2465
Miguel García-TorresDivision of Computer Science, Universidad Pablo de Olavide, Seville, Spain.ORCID 0000-0002-6867-7080
Federico DivinaDivision of Computer Science, Universidad Pablo de Olavide, Seville, Spain.ORCID 0000-0002-0964-9506
José Terrón-BautistaCentro Andaluz de Biología Molecular y Medicina Regenerativa (CABIMER), CSIC-Universidad de Sevilla-Universidad Pablo de Olavide, Seville, Spain.ORCID 0000-0002-8621-8021
Irene Delgado-SainzCentro Andaluz de Biología Molecular y Medicina Regenerativa (CABIMER), CSIC-Universidad de Sevilla-Universidad Pablo de Olavide, Seville, Spain.
Francisco Gómez-VelaDivision of Computer Science, Universidad Pablo de Olavide, Seville, Spain.ORCID 0000-0001-7376-5790
Felipe Cortés-LedesmaCentro Andaluz de Biología Molecular y Medicina Regenerativa (CABIMER), CSIC-Universidad de Sevilla-Universidad Pablo de Olavide, Seville, Spain.ORCID 0000-0002-0440-6783
Centro Andaluz de Biología Molecular y Medicina Regenerativa · ESUniversidad Pablo de Olavide · ESSpanish National Cancer Research Centre · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA topoisomerase II-β (TOP2B) is fundamental to remove topological problems linked to DNA metabolism and 3D chromatin architecture, but its cut-and-reseal catalytic mechanism can accidentally cause DNA double-strand breaks (DSBs) that can seriously compromise genome integrity. Understanding the factors that determine the genome-wide distribution of TOP2B is therefore not only essential for a complete knowledge of genome dynamics and organization, but also for the implications of TOP2-induced DSBs in the origin of oncogenic translocations and other types of chromosomal rearrangements. Here, we conduct a machine-learning approach for the prediction of TOP2B binding using publicly available sequencing data. We achieve highly accurate predictions, with accessible chromatin and architectural factors being the most informative features. Strikingly, TOP2B is sufficiently explained by only three features: DNase I hypersensitivity, CTCF and cohesin binding, for which genome-wide data are widely available. Based on this, we develop a predictive model for TOP2B genome-wide binding that can be used across cell lines and species, and generate virtual probability tracks that accurately mirror experimental ChIP-seq data. Our results deepen our knowledge on how the accessibility and 3D organization of chromatin determine TOP2B function, and constitute a proof of principle regarding the in silico prediction of sequence-independent chromatin-binding factors.

Indexed as

ChromatinDNA Topoisomerases, Type IIModels, GeneticAnimalsCells, CulturedGenomeGenomicsHumansMachine LearningMCF-7 CellsMiceProtein BindingThymocytesChromatinDNA Topoisomerases, Type II

Identifiers

PMID33465072
PMCPMC7845959
OpenAlexW3125842174

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.