Evidence map›Paper›PMID 35524115›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

FORK-seq: Single-Molecule Profiling of DNA Replication.

Magali Hennion, Bertrand Theulot, Jean-Michel Arbona, Benjamin Audit, Olivier Hyrien

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

5 authors.

Magali HennionEpigenetics and Cell Fate, CNRS, Université de Paris, Paris, France.
Bertrand TheulotInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France.
Jean-Michel ArbonaUniversité de Lyon, CNRS, INSERM, Laboratory of Biology and Modelling of the Cell, Lyon, France.
Benjamin AuditUniv Lyon, ENS de Lyon, CNRS, Laboratoire de Physique, Lyon, France.
Olivier HyrienInstitut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France. hyrien@bio.ens.psl.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most genome replication mapping methods profile cell populations, masking cell-to-cell heterogeneity. Here, we describe FORK-seq, a nanopore sequencing method to map replication of single DNA molecules at 200 nucleotide resolution using a nanopore current interpretation tool allowing the quantification of BrdU incorporation. Along pulse-chased replication intermediates from Saccharomyces cerevisiae, we can orient replication tracks and reproduce population-based replication directionality profiles. Additionally, we can map individual initiation and termination events. Thus, FORK-seq reveals the full extent of cell-to-cell heterogeneity in DNA replication.

Indexed as

NanoporesNanopore SequencingDNADNA ReplicationReplication OriginSaccharomyces cerevisiaeDNAConvolutional neural networkDNA replicationNanopore sequencingReplication fork directionReplication originsSingle-molecule analysisTermination sitesWhole-genome

Identifiers

PMID35524115

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.