Evidence map›Paper›PMID 35663314›Full record

ArticleFrontiers in endocrinology2022

Transcriptome Analysis Reveals Key miRNA-mRNA Pathways in Ovarian Tissues of Yunshang Black Goats With Different Kidding Numbers.

Yufang Liu, Zuyang Zhou, Siwu Guo, Kunyu Li, Peng Wang, Yekai Fan, Xiaoyun He, Yanting Jiang, Rong Lan, Shuangzhao Chen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

8 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

13 authors at 4 institutions in 1 country.

Yufang LiuKey Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Zuyang ZhouKey Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Siwu GuoCollege of Life Sciences and Food Engineering, Hebei University of Engineering, Handan, China.
Kunyu LiCollege of Life Sciences and Food Engineering, Hebei University of Engineering, Handan, China.
Peng WangCollege of Life Sciences and Food Engineering, Hebei University of Engineering, Handan, China.
Yekai FanCollege of Life Sciences and Food Engineering, Hebei University of Engineering, Handan, China.
Xiaoyun HeKey Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Yanting JiangYunnan Animal Science and Veterinary Institute, Kunming, China.
Rong LanYunnan Animal Science and Veterinary Institute, Kunming, China.
Shuangzhao ChenWuhan Frasergen Bioinformatics Co., Ltd., Wuhan, China.
Shenghong DaiWuhan Frasergen Bioinformatics Co., Ltd., Wuhan, China.
Qionghua HongYunnan Animal Science and Veterinary Institute, Kunming, China.
Mingxing ChuKey Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Hebei University of Engineering · CNYunnan Animal Science and Veterinary Institute · CNMinistry of Agriculture and Rural Affairs · CNChinese Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The granulosa cell (GC) is the basic functional unit of follicles, and it is important for promoting follicle growth and sex hormones, as well as growth factor secretion in the process of reproduction. A variety of factors influence granulocyte proliferation, yet there are still many gaps to be filled in target and non-coding RNA regulation. In our study, the differentially expressed (DE) mRNAs and miRNAs were detected by using RNA-seq, and we constructed a mRNA-miRNA network related to goat prolificacy. Then, the goat primary GCs were isolated from the follicle for the function validation of candidate genes and their regulator miRNAs. A total of 2,968 DE mRNAs and 99 DE miRNAs were identified in the high- and low-prolificacy goat by RNA-seq, of which there were 1,553 upregulated and 1,415 downregulated mRNAs, and 80 upregulated and 19 downregulated miRNAs, respectively.

Indexed as

MicroRNAsAnimalsGene Expression ProfilingGoatsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, MessengerMicroRNAsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, Messengerchi-miR-493-3pgoatJAK3reproduction traitsteroid hormone secretion

Identifiers

PMID35663314
PMCPMC9160789
OpenAlexW4280605890

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.