Evidence map›Paper›PMID 31781648›Full record

ArticleBioMed research international2019

Dynamic Changes of DNA Methylation and Transcriptome Expression in Porcine Ovaries during Aging.

Xiaoyu Xi, Qin Zou, Yingying Wei, Yan Chen, Xue Wang, Daojun Lv, Peilin Li, Anxiang Wen, Li Zhu, Guoqing Tang and 4 more

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

14 citing papers in PubMed, 14 citations in OpenAlex.

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  12. Knockout of the HMG domain of the porcine SRY gene causes sex reversal in gene-edited pigs.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

14 authors at 1 institution in 1 country.

Xiaoyu Xi *Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan 625014, China.
Qin Zou *Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan 625014, China.
Yingying Wei *Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan 625014, China.
Yan ChenDepartment of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan 625014, China.
Xue WangDepartment of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan 625014, China.
Daojun LvSichuan Weimu Modern Agricultural Science and Technology Co., Ltd., Chengdu, Sichuan 611536, China.
Peilin LiSichuan Weimu Modern Agricultural Science and Technology Co., Ltd., Chengdu, Sichuan 611536, China.
Anxiang WenDepartment of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan 625014, China.
Li ZhuInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan 611130, China.ORCID https://orcid.org/0000-0001-7342-0880
Guoqing TangInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan 611130, China.
Jideng MaInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan 611130, China.
Mingzhou LiInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan 611130, China.ORCID https://orcid.org/0000-0001-8681-7684
Xuewei LiInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan 611130, China.ORCID https://orcid.org/0000-0003-0485-3599
Yanzhi JiangDepartment of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan 625014, China.ORCID https://orcid.org/0000-0002-9568-557X
Sichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biological function of human ovaries declines along with aging. To identify the underlying molecular changes during ovarian aging, pigs were used as model animals. Genome-wide DNA methylation and transcriptome-wide RNA expression analyses were performed via high-throughput sequencing of ovaries from young pigs (180 days, puberty stage of first ovulation) and old pigs (eight years, reproductive exhaustion stage). The results identified 422 different methylation regions between old and young pigs; furthermore, a total of 2,243 mRNAs, 95 microRNAs, 248 long noncoding RNAs (lncRNAs), and 116 circular RNAs (circRNAs) were differentially expressed during both developmental stages. Gene ontology analysis showed that these genes related to different methylation and expression are involved in the ovarian aging cycle. Specifically, these are involved in cell apoptosis, death effector domain binding, embryonic development, reproduction and fertilization process, ovarian cumulus expansion, and the ovulation cycle. Multigroup cooperative control relationships were also assessed, and competing endogenous RNA (ceRNA) networks were constructed in the ovarian aging cycle. These data will help to clarify ovary age-associated potential molecular changes in DNA methylation and transcriptional patterns over time.

Indexed as

AgingDNA MethylationTranscriptomeAnimalsFemaleFertilizationGene ExpressionGene Expression ProfilingGene OntologyGene Regulatory NetworksGenomeHigh-Throughput Nucleotide SequencingMicroRNAsOvaryReproductionRNA, CircularMicroRNAsRNA, CircularRNA, Long NoncodingRNA, Messenger

Identifiers

PMID31781648
PMCPMC6874880
OpenAlexW2982407292

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.