Evidence map›Paper›PMID 35464385›Full record

ArticleFrontiers in veterinary science2022

Comparison of miRNA and mRNA Expression in Sika Deer Testes With Age.

Boyin Jia, Linlin Zhang, Fuquan Ma, Xue Wang, Jianming Li, Naichao Diao, Xue Leng, Kun Shi, Fanli Zeng, Ying Zong and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 21 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

16 authors at 3 institutions in 1 country.

Boyin JiaCollege of Animal Medicine/College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Linlin ZhangCollege of Animal Medicine/College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Fuquan MaCollege of Animal Medicine/College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Xue WangCollege of Animal Medicine/College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Jianming LiLaboratory of Production and Product Application of Sika Deer of Jilin Province, Jilin Agricultural University, Changchun, China.
Naichao DiaoCollege of Animal Medicine/College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Xue LengLaboratory of Production and Product Application of Sika Deer of Jilin Province, Jilin Agricultural University, Changchun, China.
Kun ShiLaboratory of Production and Product Application of Sika Deer of Jilin Province, Jilin Agricultural University, Changchun, China.
Fanli ZengLaboratory of Production and Product Application of Sika Deer of Jilin Province, Jilin Agricultural University, Changchun, China.
Ying ZongLaboratory of Production and Product Application of Sika Deer of Jilin Province, Jilin Agricultural University, Changchun, China.
Fei LiuCollege of Animal Medicine/College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Qinglong GongCollege of Animal Medicine/College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Ruopeng CaiCollege of Animal Medicine/College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Fuhe YangInstitute of Wild Economic Animals and Plants and State Key Laboratory for Molecular Biology of Special Economical Animals, Chinese Academy of Agricultural Sciences, Changchun, China.
Rui DuLaboratory of Production and Product Application of Sika Deer of Jilin Province, Jilin Agricultural University, Changchun, China.
Zhiguang ChangThe Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Jilin Agricultural University · CNChinese Academy of Agricultural Sciences · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To elucidate the complex physiological process of testis development and spermatogenesis in Sika deer, this study evaluated the changes of miRNA and mRNA profiles in the four developmental stages of testis in the juvenile (1-year-old), adolescence (3-year-old), adult (5-year-old), and aged (10-year-old) stages. The results showed that a total of 198 mature, 66 novel miRNAs, and 23,558 differentially expressed (DE) unigenes were obtained; 14,918 (8,413 up and 6,505 down), 4,988 (2,453 up and 2,535 down), and 5,681 (2,929 up and 2,752 down) DE unigenes, as well as 88 (43 up and 45 down), 102 (44 up and 58 down), and 54 (18 up and 36 down) DE miRNAs were identified in 3- vs. 1-, 5- vs. 3-, and 10- vs. 5-year-old testes, respectively. By integrating miRNA and mRNA expression profiles, we predicted 10,790 mRNA-mRNA and 69,883 miRNA-mRNA interaction sites. The target genes were enriched by GO and KEGG pathways to obtain DE mRNA (IGF1R, ALKBH5, Piwil, HIF1A, BRDT, etc.) and DE miRNA (miR-140, miR-145, miR-7, miR-26a, etc.), which play an important role in testis development and spermatogenesis. The data show that DE miRNAs could regulate testis developmental and spermatogenesis through signaling pathways, including the MAPK signaling pathway, p53 signaling pathway, PI3K-Akt signaling pathway, Hippo signaling pathway, etc. miR-140 was confirmed to directly target mutant IGF1R-3'UTR by the Luciferase reporter assays. This study provides a useful resource for future studies on the role of miRNA regulation in testis development and spermatogenesis.

Indexed as

miRNAmRNAsika deerspermatogenesistestis development

Identifiers

PMID35464385
PMCPMC9019638
OpenAlexW4225935494

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.