Evidence map›Paper›PMID 35781769›Full record

ArticleChromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology2022

Optimized Repli-seq: improved DNA replication timing analysis by next-generation sequencing.

Juan Carlos Rivera-Mulia, Claudia Trevilla-Garcia, Santiago Martinez-Cifuentes

Abstract read
In one paragraph

Article in Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. PARTAGE: Parallel analysis of replication timing and gene expression.bioRxiv : the preprint server for biology · 2025
    Article
  5. Review
  6. Article
  7. 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.

Juan Carlos Rivera-MuliaDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota Medical School, Minneapolis, MN, USA. riveramj@umn.edu.ORCID 0000-0002-7566-3875
Claudia Trevilla-GarciaDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota Medical School, Minneapolis, MN, USA.
Santiago Martinez-CifuentesDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota Medical School, Minneapolis, MN, USA.

Funding

Minnesota Tissue Mapping Center for Senescent CellsU54AG076041 · NIA · UNIVERSITY OF MINNESOTA · PI LAURA Jane NIEDERNHOFER · 2021 to 2026
$10.5M
Regulatory elements of replication timing and 3D genome organizationR35GM137950 · NIGMS · UNIVERSITY OF MINNESOTA · PI RIVERA-MULIA, JUAN CARLOS · 2020 to 2024
$2.3M
NIA NIH HHS U54 AG076041NIGMS NIH HHS R35 GM137950NIGMS NIH HHS R35GM137950
6 · The paper itself

Abstract

The human genome is divided into functional units that replicate at specific times during S-phase. This temporal program is known as replication timing (RT) and is coordinated with the spatial organization of the genome and transcriptional activity. RT is also cell type-specific, dynamically regulated during development, and alterations in RT are observed in multiple diseases. Thus, the precise measure of RT is critical to understand the role of RT in gene function regulation. Distinct methods for assaying the RT program exist; however, conventional methods require thousands of cells as input, prohibiting its applicability to samples with limited cell numbers such as those from disease patients or from early developing embryos. Although single-cell RT analyses have been developed, these methods are low throughput, require generation of numerous libraries, increased sequencing costs, and produce low resolution data. Here, we developed an improved method to measure RT genome-wide that enables high-resolution analysis of low input samples. This method incorporates direct cell sorting into lysis buffer, as well as DNA fragmentation and library preparation in a single tube, resulting in higher yields, increased quality, and reproducibility with decreased costs. We also performed a systematic data processing analysis to provide standardized parameters for RT measurement. This optimized method facilitates RT analysis and will enable its application to a broad range of studies investigating the role of RT in gene expression, nuclear architecture, and disease.

Indexed as

DNA Replication TimingGenome, HumanDNA ReplicationGene LibraryHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsDNA replicationgenomicslibrary preparationnext-generation sequencingreplication timing

Identifiers

PMID35781769
PMCPMC10124313

What Socratic holds

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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 Socratic graph.