Evidence map›Paper›PMID 38053167›Full record

ArticleJournal of animal science and biotechnology2023

Single-cell transcriptomic atlas of goat ovarian aging.

Dejun Xu, Shuaifei Song, Fuguo Wang, Yawen Li, Ziyuan Li, Hui Yao, Yongju Zhao, Zhongquan Zhao

Open access · goldAbstract read
In one paragraph

Article in Journal of animal science and biotechnology, 2023. 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
4.1field-weighted citation impact, top 6% 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, 13 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Dejun XuChongqing Key Laboratory of Herbivore Science, College of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Shuaifei SongChongqing Key Laboratory of Herbivore Science, College of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Fuguo WangChongqing Key Laboratory of Herbivore Science, College of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Yawen LiChongqing Key Laboratory of Herbivore Science, College of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Ziyuan LiChongqing Key Laboratory of Herbivore Science, College of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Hui YaoChongqing Key Laboratory of Herbivore Science, College of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Yongju ZhaoChongqing Key Laboratory of Herbivore Science, College of Animal Science and Technology, Southwest University, Chongqing, 400715, China.
Zhongquan ZhaoChongqing Key Laboratory of Herbivore Science, College of Animal Science and Technology, Southwest University, Chongqing, 400715, China. zhaozhongquan@swu.edu.cn.ORCID http://orcid.org/0000-0002-6268-8539
Southwest University · CN

Funding

National Key Research and Development Program of China 2022YFD1300202National Natural Science Foundation of China 32102623National Natural Science Foundation of Chongqing cstc2021jcyj-msxmX0875PhD Train Scientific Research Project of Chongqing CSTB2022BSXM-JCX0002Technology Innovation and Application Development Special Project of Chongqing cstc2021jscx-gksbX0008
6 · The paper itself

Abstract

backgroundThe ovaries are one of the first organs that undergo degenerative changes earlier in the aging process, and ovarian aging is shown by a decrease in the number and quality of oocytes. However, little is known about the molecular mechanisms of female age-related fertility decline in different types of ovarian cells during aging, especially in goats. Therefore, the aim of this study was to reveal the mechanisms driving ovarian aging in goats at single-cell resolution.

resultsFor the first time, we surveyed the single-cell transcriptomic landscape of over 27,000 ovarian cells from newborn, young and aging goats, and identified nine ovarian cell types with distinct gene-expression signatures. Functional enrichment analysis showed that ovarian cell types were involved in their own unique biological processes, such as Wnt beta-catenin signalling was enriched in germ cells, whereas ovarian steroidogenesis was enriched in granulosa cells (GCs). Further analysis showed that ovarian aging was linked to GCs-specific changes in the antioxidant system, oxidative phosphorylation, and apoptosis. Subsequently, we identified a series of dynamic genes, such as AMH, CRABP2, THBS1 and TIMP1, which determined the fate of GCs. Additionally, FOXO1, SOX4, and HIF1A were identified as significant regulons that instructed the differentiation of GCs in a distinct manner during ovarian aging.

conclusionsThis study revealed a comprehensive aging-associated transcriptomic atlas characterizing the cell type-specific mechanisms during ovarian aging at the single-cell level and offers new diagnostic biomarkers and potential therapeutic targets for age-related goat ovarian diseases.

Indexed as

GoatGranulosa cellsOvarian agingSingle-cell transcriptomic

Identifiers

PMID38053167
PMCPMC10699009
OpenAlexW4389358413

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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 OpenQuestion graph.