Evidence map›Paper›PMID 25251848›Full record

ArticleGenomics, proteomics & bioinformatics2014

A comprehensive transcriptomic analysis of infant and adult mouse ovary.

Linlin Pan, Wei Gong, Yuanyuan Zhou, Xiaonuan Li, Jun Yu, Songnian Hu

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Characterization of Ovarian Cell Types and Molecular Signatures in Mauremys reevesii Using Single-Cell Sequencing.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. Ribo-Seq Analysis-Based Elucidation of the Dynamic Translation Landscape of Yak Ovarian Tissues in Different Reproductive Stages.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Selected Genetic Factors Associated with Primary Ovarian Insufficiency.International journal of molecular sciences · 2023
    Review
  7. Review
  8. Cell cycle (Georgetown, Tex.) · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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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

6 authors at 2 institutions in 1 country.

Linlin PanJames D. Watson Institute of Genome Sciences, Zhejiang University, Hangzhou 310058, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Wei GongCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Yuanyuan ZhouCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Xiaonuan LiJames D. Watson Institute of Genome Sciences, Zhejiang University, Hangzhou 310058, China; CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Jun YuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: junyu@big.ac.cn.
Songnian HuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: husn@big.ac.cn.
Beijing Institute of Genomics · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovary development is a complex process involving numerous genes. A well-developed ovary is essential for females to keep fertility and reproduce offspring. In order to gain a better insight into the molecular mechanisms related to the process of mammalian ovary development, we performed a comparative transcriptomic analysis on ovaries isolated from infant and adult mice by using next-generation sequencing technology (SOLiD). We identified 15,454 and 16,646 transcriptionally active genes at the infant and adult stage, respectively. Among these genes, we also identified 7021 differentially expressed genes. Our analysis suggests that, in general, the adult ovary has a higher level of transcriptomic activity. However, it appears that genes related to primordial follicle development, such as those encoding Figla and Nobox, are more active in the infant ovary, whereas expression of genes vital for follicle development, such as Gdf9, Bmp4 and Bmp15, is upregulated in the adult. These data suggest a dynamic shift in gene expression during ovary development and it is apparent that these changes function to facilitate follicle maturation, when additional functional gene studies are considered. Furthermore, our investigation has also revealed several important functional pathways, such as apoptosis, MAPK and steroid biosynthesis, that appear to be much more active in the adult ovary compared to those of the infant. These findings will provide a solid foundation for future studies on ovary development in mice and other mammals and help to expand our understanding of the complex molecular and cellular events that occur during postnatal ovary development.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsBiomarkersFemaleHigh-Throughput Nucleotide SequencingMiceMice, Inbred BALB COvarySignal TransductionTranscriptomeBiomarkersFolliculogenesisPostnatal ovary developmentRNA-seqTranscriptome

Identifiers

PMID25251848
PMCPMC4411413
OpenAlexW1982323837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.