Evidence map›Paper›PMID 41397953›Full record

ArticleNature communications2025

scRepli-RamDA-seq: a multi-omics technology enabling the analysis of gene expression dynamics during S-phase.

Rawin Poonperm, Taiki Yoneda, Taito Imada, Saori Takahashi, Takako Ichinose, Hisashi Miura, Tetsutaro Hayashi, Mariko Kuse, Mika Yoshimura, Koji Nagao and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Rawin Poonperm *Laboratory for Developmental Epigenetics, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Japan.ORCID http://orcid.org/0000-0002-0098-640X
Taiki Yoneda *Laboratory of Molecular and Cellular Biology, Graduate School of Bioresources, Mie University, Tsu, Japan.
Taito ImadaLaboratory of Molecular and Cellular Biology, Graduate School of Bioresources, Mie University, Tsu, Japan.
Saori TakahashiLaboratory for Developmental Epigenetics, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Japan.ORCID http://orcid.org/0000-0001-9195-3656
Takako IchinoseLaboratory for Developmental Epigenetics, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Japan.
Hisashi MiuraLaboratory for Developmental Epigenetics, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Japan.ORCID http://orcid.org/0000-0003-1270-776X
Tetsutaro HayashiOmics AI Research Team, Advanced General Intelligence in Science Program (AGIS), TRIP Headquarters, RIKEN, Wako, Saitama, Japan.ORCID http://orcid.org/0000-0003-1679-5525
Mariko KuseOmics AI Research Team, Advanced General Intelligence in Science Program (AGIS), TRIP Headquarters, RIKEN, Wako, Saitama, Japan.ORCID http://orcid.org/0009-0008-0667-6227
Mika YoshimuraOmics AI Research Team, Advanced General Intelligence in Science Program (AGIS), TRIP Headquarters, RIKEN, Wako, Saitama, Japan.ORCID http://orcid.org/0000-0003-0429-7959
Koji NagaoDepartment of Biological Sciences, Graduate School of Science, The University of Osaka, Toyonaka, Japan.ORCID http://orcid.org/0000-0003-1418-6988
Chikashi ObuseDepartment of Biological Sciences, Graduate School of Science, The University of Osaka, Toyonaka, Japan.
Itoshi NikaidoOmics AI Research Team, Advanced General Intelligence in Science Program (AGIS), TRIP Headquarters, RIKEN, Wako, Saitama, Japan. itoshi.nikaido@riken.jp.ORCID http://orcid.org/0000-0002-7261-2570
Ichiro HirataniLaboratory for Developmental Epigenetics, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Japan. ichiro.hiratani@riken.jp.ORCID http://orcid.org/0000-0003-3710-3540
Shin-Ichiro TakebayashiLaboratory of Molecular and Cellular Biology, Graduate School of Bioresources, Mie University, Tsu, Japan. stake@bio.mie-u.ac.jp.ORCID http://orcid.org/0000-0002-1968-9800

Funding

MEXT | JST | Core Research for Evolutional Science and Technology (CREST) JPMJCR1926MEXT | JST | Core Research for Evolutional Science and Technology (CREST) JPMJCR20S5MEXT | JST | Core Research for Evolutional Science and Technology (CREST) JPMJCR21N6Ministry of Education, Culture, Sports, Science and Technology (MEXT) 20K20582Ministry of Education, Culture, Sports, Science and Technology (MEXT) 23H02411Ministry of Education, Culture, Sports, Science and Technology (MEXT) 23K23862Ministry of Education, Culture, Sports, Science and Technology (MEXT) 24K21835Ministry of Education, Culture, Sports, Science and Technology (MEXT) 25H01445Ministry of Education, Culture, Sports, Science and Technology (MEXT) 25K02254
6 · The paper itself

Abstract

Single-cell sequencing has advanced our understanding of cell-type diversity and heterogeneity. However, existing single-cell multi-omics methods lack the ability to monitor gene expression dynamics during S-phase progression. Here, we introduce single-cell (sc)Repli-RamDA-seq (scRR-seq), a multi-omics method that enables high-resolution DNA replication profiling and full-length total RNA sequencing from the same single cell in a haplotype-specific manner. scRR-seq generates DNA replication and RNA sequencing data comparable to individually obtained scRepli-seq and scRamDA-seq data, respectively. Unlike other scDNA/RNA-seq methods, scRR-seq allows one to tell the S-phase stage of a given cell based on the percentage of the replicated genome derived from scRepli-seq data. This facilitates analysis of gene expression dynamics during S-phase progression, enabling the identification of S-phase progression markers. scRR-seq also detects copy-number variation in non-S-phase cells and outperforms other scDNA/RNA-seq methods in various measures. Taken together, scRR-seq is a robust single-cell multi-omics method with promising potential for comprehensive genome/transcriptome analysis.

Indexed as

Gene Expression ProfilingSingle-Cell AnalysisS PhaseDNA Copy Number VariationsDNA ReplicationHigh-Throughput Nucleotide SequencingHumansMultiomicsRNA-SeqSequence Analysis, RNA

Identifiers

PMID41397953
PMCPMC12705686

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.