Evidence map›Paper›PMID 29599440›Full record

ArticleNature protocols2018

Genome-wide analysis of replication timing by next-generation sequencing with E/L Repli-seq.

Claire Marchal, Takayo Sasaki, Daniel Vera, Korey Wilson, Jiao Sima, Juan Carlos Rivera-Mulia, Claudia Trevilla-García, Coralin Nogues, Ebtesam Nafie, David M Gilbert

Abstract read
In one paragraph

Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

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  18. PARTAGE: Parallel analysis of replication timing and gene expression.bioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Mitigating Cell Cycle Effects in Multi-Omics Data: Solutions and Analytical Frameworks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article

57 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

10 authors.

Claire MarchalDepartment of Biological Science, Florida State University, Tallahassee, Florida, USA.
Takayo SasakiDepartment of Biological Science, Florida State University, Tallahassee, Florida, USA.
Daniel VeraCenter for Genomics and Personalized Medicine, Florida State University, Tallahassee, Florida, USA.ORCID 0000-0003-2202-7397
Korey WilsonDepartment of Biological Science, Florida State University, Tallahassee, Florida, USA.
Jiao SimaDepartment of Biological Science, Florida State University, Tallahassee, Florida, USA.
Juan Carlos Rivera-MuliaDepartment of Biological Science, Florida State University, Tallahassee, Florida, USA.
Claudia Trevilla-GarcíaDepartment of Biological Science, Florida State University, Tallahassee, Florida, USA.
Coralin NoguesDepartment of Biological Science, Florida State University, Tallahassee, Florida, USA.
Ebtesam NafieDepartment of Zoology, Benha University, Benha, Egypt.ORCID 0000-0002-0604-6689
David M GilbertDepartment of Biological Science, Florida State University, Tallahassee, Florida, USA.

Funding

UNDERSTANDING MECHANISMS OF hESC SELF-RENEWAL AND CELL FATE COMMITMENTP01GM085354 · NIGMS · UNIVERSITY OF GEORGIA · PI DALTON, STEPHEN · 2008 to 2018
$18.3M
Mapping Technology DevelopmentU54DK107965 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BELMONT, ANDREW STEVEN · 2015 to 2019
$8.6M
Genome Plasticity during ES Cell Differentiation to Neural LineagesR01GM083337 · NIGMS · SAN DIEGO BIOMEDICAL RESEARCH INSTITUTE · PI David M Gilbert · 2007 to 2026
$6.1M
NIDDK NIH HHS U54 DK107965NIGMS NIH HHS P01 GM085354NIGMS NIH HHS R01 GM083337
6 · The paper itself

Abstract

This protocol is an extension to: Nat. Protoc. 6, 870-895 (2014); doi:10.1038/nprot.2011.328; published online 02 June 2011Cycling cells duplicate their DNA content during S phase, following a defined program called replication timing (RT). Early- and late-replicating regions differ in terms of mutation rates, transcriptional activity, chromatin marks and subnuclear position. Moreover, RT is regulated during development and is altered in diseases. Here, we describe E/L Repli-seq, an extension of our Repli-chip protocol. E/L Repli-seq is a rapid, robust and relatively inexpensive protocol for analyzing RT by next-generation sequencing (NGS), allowing genome-wide assessment of how cellular processes are linked to RT. Briefly, cells are pulse-labeled with BrdU, and early and late S-phase fractions are sorted by flow cytometry. Labeled nascent DNA is immunoprecipitated from both fractions and sequenced. Data processing leads to a single bedGraph file containing the ratio of nascent DNA from early versus late S-phase fractions. The results are comparable to those of Repli-chip, with the additional benefits of genome-wide sequence information and an increased dynamic range. We also provide computational pipelines for downstream analyses, for parsing phased genomes using single-nucleotide polymorphisms (SNPs) to analyze RT allelic asynchrony, and for direct comparison to Repli-chip data. This protocol can be performed in up to 3 d before sequencing, and requires basic cellular and molecular biology skills, as well as a basic understanding of Unix and R.

Indexed as

Cell DivisionDNA ReplicationTimeAnimalsBromodeoxyuridineCell LineChromatin ImmunoprecipitationDNAHigh-Throughput Nucleotide SequencingMiceMouse Embryonic Stem CellsStaining and LabelingBromodeoxyuridineDNA

Identifiers

PMID29599440
PMCPMC6044726

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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.