Evidence map›Paper›PMID 41160204›Full record

ReviewJournal of assisted reproduction and genetics2025

Transcriptomics empower assisted reproductive technology in decoding gamete and embryo development potential: a review.

Panpan Zhao, Xiaomei Tong

Abstract readReview
In one paragraph

Review in Journal of assisted reproduction and genetics, 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

2 authors.

Panpan ZhaoAssisted Reproduction Unit, Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID http://orcid.org/0000-0003-4622-5945
Xiaomei TongAssisted Reproduction Unit, Department of Obstetrics and Gynecology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China. 3406028@zju.edu.cn.ORCID http://orcid.org/0000-0002-6982-445X

Funding

National Natural Science Foundation of China 82401950
6 · The paper itself

Abstract

Transcriptomics has emerged as a crucial methodology for deciphering gene expression and regulatory networks, offering novel insights and robust scientific support for advancing assisted reproductive technologies (ART). This review synthesizes current knowledge on the transcriptome profiles of germ cells and early embryos, elucidating key molecular signatures associated with developmental potential, maturation processes, and embryo quality. It further demonstrates the application of transcriptomics in preimplantation genetic testing (PGT), enhancing embryo selection precision through the screening of chromosomal abnormalities and genetic disorders. Additionally, the review highlights the significant value of transcriptomic approaches in evaluating embryonic developmental potential and optimizing in vitro culture conditions. Collectively, these applications provide a strong foundation for improving ART success rates and advancing personalized treatment strategies.

Indexed as

Embryonic DevelopmentGerm CellsReproductive Techniques, AssistedTranscriptomeBlastocystFemaleGene Expression ProfilingHumansPregnancyPreimplantation DiagnosisARTEarly embryo developmentEmbryo development potentialPGTTranscriptomics

Identifiers

PMID41160204
PMCPMC12705511

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.