Evidence map›Paper›PMID 32051615›Full record

ArticleNature protocols2020

DNA copy-number measurement of genome replication dynamics by high-throughput sequencing: the sort-seq, sync-seq and MFA-seq family.

Dzmitry G Batrakou, Carolin A Müller, Rosemary H C Wilson, Conrad A Nieduszynski

Abstract read
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In one paragraph

Article in Nature protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 50 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Dzmitry G Batrakou *Sir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Carolin A Müller *Sir William Dunn School of Pathology, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-7422-5582
Rosemary H C Wilson *Sir William Dunn School of Pathology, University of Oxford, Oxford, UK.
Conrad A NieduszynskiSir William Dunn School of Pathology, University of Oxford, Oxford, UK. conrad.nieduszynski@path.ox.ac.uk.ORCID http://orcid.org/0000-0003-2001-076X
University of Oxford · GB

Funding

Biotechnology and Biological Sciences Research Council BB/K007211/2Biotechnology and Biological Sciences Research Council BB/N016858/1
6 · The paper itself

Abstract

Genome replication follows a defined temporal programme that can change during cellular differentiation and disease onset. DNA replication results in an increase in DNA copy number that can be measured by high-throughput sequencing. Here we present a protocol to determine genome replication dynamics using DNA copy-number measurements. Cell populations can be obtained in three variants of the method. First, sort-seq reveals the average replication dynamics across S phase in an unperturbed cell population; FACS is used to isolate replicating and non-replicating subpopulations from asynchronous cells. Second, sync-seq measures absolute replication time at specific points during S phase using a synchronized cell population. Third, marker frequency analysis can be used to reveal the average replication dynamics using copy-number analysis in any proliferating asynchronous cell culture. These approaches have been used to reveal genome replication dynamics in prokaryotes, archaea and a wide range of eukaryotes, including yeasts and mammalian cells. We have found this approach straightforward to apply to other organisms and highlight example studies from across the three domains of life. Here we present a Saccharomyces cerevisiae version of the protocol that can be performed in 7-10 d. It requires basic molecular and cellular biology skills, as well as a basic understanding of Unix and R.

Indexed as

DNA Copy Number VariationsGenome, FungalDNA, FungalDNA ReplicationFlow CytometryGenomicsHigh-Throughput Nucleotide SequencingSaccharomyces cerevisiaeDNA, Fungal

Identifiers

PMID32051615
OpenAlexW3006497290

What OpenQuestion holds

Textmetadata
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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.