Evidence map›Paper›PMID 32958757›Full record

ArticleNature communications2020

A predictable conserved DNA base composition signature defines human core DNA replication origins.

Ildem Akerman, Bahar Kasaai, Alina Bazarova, Pau Biak Sang, Isabelle Peiffer, Marie Artufel, Romain Derelle, Gabrielle Smith, Marta Rodriguez-Martinez, Manuela Romano and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

61 citing papers in PubMed, 104 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

16 authors at 5 institutions in 4 countries.

Ildem Akerman *Institute of Human Genetics, CNRS - University of Montpellier, Montpellier, France. i.akerman@bham.ac.uk.ORCID http://orcid.org/0000-0002-9875-1421
Bahar Kasaai *Institute of Human Genetics, CNRS - University of Montpellier, Montpellier, France.
Alina Bazarova *Centre for Computational Biology (CCB), University of Birmingham, Birmingham, UK.
Pau Biak SangInstitute of Human Genetics, CNRS - University of Montpellier, Montpellier, France.ORCID http://orcid.org/0000-0001-7261-5117
Isabelle PeifferInstitute of Human Genetics, CNRS - University of Montpellier, Montpellier, France.
Marie ArtufelAix-Marseille University, INSERM, TAGC, UMR S1090, Marseille, France.
Romain DerelleLife and Environmental Sciences (LES), University of Birmingham, Birmingham, UK.
Gabrielle SmithInstitute of Metabolism and Systems Research (IMSR), University of Birmingham, Birmingham, UK.
Marta Rodriguez-MartinezInstitute of Human Genetics, CNRS - University of Montpellier, Montpellier, France.
Manuela RomanoInstitut de Génétique Moléculaire de Montpellier (IGMM), University of Montpellier, CNRS, Montpellier, France.
Sandrina KinetInstitut de Génétique Moléculaire de Montpellier (IGMM), University of Montpellier, CNRS, Montpellier, France.ORCID http://orcid.org/0000-0003-0699-108X
Peter TinoCentre for Computational Biology (CCB), University of Birmingham, Birmingham, UK.
Charles TheilletInstitut de Recherche en Cancérologie de Montpellier (IRCM), Montpellier, France.ORCID http://orcid.org/0000-0001-5555-2759
Naomi TaylorInstitut de Génétique Moléculaire de Montpellier (IGMM), University of Montpellier, CNRS, Montpellier, France.ORCID http://orcid.org/0000-0002-2459-4558
Benoit BallesterAix-Marseille University, INSERM, TAGC, UMR S1090, Marseille, France.ORCID http://orcid.org/0000-0002-0834-7135
Marcel MéchaliInstitute of Human Genetics, CNRS - University of Montpellier, Montpellier, France. marcel.mechali@igh.cnrs.fr.
Centre National de la Recherche Scientifique · FRUniversity of Birmingham · GBInserm · FRInstitut de Recherche en Cancérologie de Montpellier · FRUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA replication initiates from multiple genomic locations called replication origins. In metazoa, DNA sequence elements involved in origin specification remain elusive. Here, we examine pluripotent, primary, differentiating, and immortalized human cells, and demonstrate that a class of origins, termed core origins, is shared by different cell types and host ~80% of all DNA replication initiation events in any cell population. We detect a shared G-rich DNA sequence signature that coincides with most core origins in both human and mouse genomes. Transcription and G-rich elements can independently associate with replication origin activity. Computational algorithms show that core origins can be predicted, based solely on DNA sequence patterns but not on consensus motifs. Our results demonstrate that, despite an attributed stochasticity, core origins are chosen from a limited pool of genomic regions. Immortalization through oncogenic gene expression, but not normal cellular differentiation, results in increased stochastic firing from heterochromatin and decreased origin density at TAD borders.

Indexed as

AnimalsBase CompositionBase SequenceCarcinogenesisCell DifferentiationCells, CulturedDNADNA ReplicationGenome, HumanHeterochromatinHumansMiceNucleotide MotifsReplication OriginTranscription, GeneticDNAHeterochromatin

Identifiers

PMID32958757
PMCPMC7506530
OpenAlexW3087179545

What OpenQuestion holds

Textmetadata
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.