Evidence map›Paper›PMID 22086957›Full record

ArticleNucleic acids research2012

Do replication forks control late origin firing in Saccharomyces cerevisiae?

Emilie Ma, Olivier Hyrien, Arach Goldar

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. FORK-seq: Single-Molecule Profiling of DNA Replication.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Mathematical modeling of genome replication.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012
    Article
  12. Review
  13. 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

3 authors.

Emilie MaCommissariat à l'Energie Atomique (CEA), iBiTec-S, 91191 Gif-sur-Yvette, France.
Olivier Hyrien
Arach Goldar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies of eukaryotic DNA replication timing profiles suggest that the time-dependent rate of origin firing, I(t), has a universal shape, which ensures a reproducible replication completion time. However, measurements of I(t) are based on population averages, which may bias the shape of the I(t) because of imperfect cell synchrony and cell-to-cell variability. Here, we measure the population-averaged I(t) profile from synchronized Saccharomyces cerevisiae cells using DNA combing and we extract the single-cell I(t) profile using numerical deconvolution. The single cell I(t) and the population-averaged I(t) extracted from DNA combing and replication timing profiles are similar, indicating a genome scale invariance of the replication process, and excluding cell-to-cell variability in replication time as an explanation for the shape of I(t). The single cell I(t) correlates with fork density in wild-type cells, which is specifically loosened in late S phase in the clb5Δ mutant. A previously proposed numerical model that reproduces the wild-type I(t) profile, could also describe the clb5Δ mutant I(t) once modified to incorporate the decline in CDK activity and the looser dependency of initiation on fork density in the absence of Clb5p. Overall, these results suggest that the replication forks emanating from early fired origins facilitate origin firing in later-replicating regions.

Indexed as

DNA Replication TimingReplication OriginCyclin BGene DeletionOligonucleotide Array Sequence AnalysisSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsS PhaseCLB5 protein, S cerevisiaeCyclin BSaccharomyces cerevisiae Proteins

Identifiers

PMID22086957
PMCPMC3300028

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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.