Evidence map›Paper›PMID 40437520›Full record

ArticleBMC biology2025

RNA multi-omics in single cells reveal rhythmical RNA reshaping during human and mouse oocyte maturation.

Huan Yao, Danru Zhang, Haixia Jin, Yanjie Guo, Yan Liu, Shengnan Wang, Tong Li, Shenli Yuan, Gang Lu, Yingpu Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Huan Yao *Center for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. huanyao@cuhk.edu.hk.
Danru Zhang *CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.
Haixia Jin *Center for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yanjie Guo *Center for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yan LiuCenter for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shengnan WangCenter for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tong LiCenter for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shenli YuanCUHK-SDU Joint Laboratory On Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong.
Gang LuCUHK-SDU Joint Laboratory On Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong. lugang@cuhk.edu.hk.
Yingpu SunCenter for Reproductive Medicine, Henan Key Laboratory of Reproduction and Genetics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. syp2008@vip.sina.com.

Funding

Chinese Postdoctoral Science Foundation 2023M743202Joint Construction Youth Fund Project of Henan Provincial Health Commission and Provincial Ministry SBGJ202303035National Natural Science Foundation of China 32370917National Natural Science Foundation of China 82301866
6 · The paper itself

Abstract

backgroundOmics technologies are widely applied in assisted reproductive technology (ART), such as embryo selection, investigation of infertility causes, and mechanisms underlying reproductive cell development. While RNAomics has shown great potential in investigating the physiology and pathology in female reproductive system, its applications are still not fully developed. More studies on epitranscriptomic regulation mechanisms and novel sequencing methods are needed to advance the field.

resultsHere, we developed a method named Cap to Tail sequencing application (C2T-APP) and simultaneously characterized the m

conclusionsOur results provided a valuable tool for RNAomics research and data resources provided novel insights into human oocyte maturation, which is helpful for IVM and oocyte selection for ART.

Indexed as

OocytesOogenesisRNASingle-Cell AnalysisAdenosineAnimalsFemaleHumansMiceMultiomicsSequence Analysis, RNATranscriptomeAdenosineRNAMaternal RNA decayOocyte maturationRNA modificationsRNA multi-omics in single cellsRNA terminal structure detection

Identifiers

PMID40437520
PMCPMC12121112

What Socratic holds

Textmetadata
LicenceCC BY
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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.