Evidence map›Paper›PMID 24886377›Full record

ArticleBMC genomics2014

Identification and characterization of microRNAs in the ovaries of multiple and uniparous goats (Capra hircus) during follicular phase.

Ying-Hui Ling, Chun-Huan Ren, Xiao-Fei Guo, Li-Na Xu, Ya-Feng Huang, Jian-Chuan Luo, Yun-Hai Zhang, Xiao-Rong Zhang, Zi-Jun Zhang

Abstract readValidation Study
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. International journal of molecular sciences · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. MicroRNAs in ovarian follicular atresia and granulosa cell apoptosis.Reproductive biology and endocrinology : RB&E · 2019
    Review
  19. Article
  20. Article
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

9 authors.

Ying-Hui Ling
Chun-Huan Ren
Xiao-Fei Guo
Li-Na Xu
Ya-Feng Huang
Jian-Chuan Luo
Yun-Hai Zhang
Xiao-Rong ZhangCollege of Animal Science and Technology, Anhui Agricultural University, No, 130 Changjiang west road, Hefei 230036, P,R, China. zhangxiaorong01@163.com.
Zi-Jun Zhang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuperior kidding rate is an important economic trait in production of meat goat, and ovulation rate is the precondition of kidding rate. MicroRNAs (miRNAs) play critical roles in almost all ovarian biological processes, including folliculogenesis, follicle development, follicle atresia, luteal development and regression. To find out the different ovarian activity and follicle recruitment with miRNA-mediated posttranscriptional regulation, the small RNAs expressed pattern in the ovarian tissues of multiple and uniparous Anhui White goats during follicular phase was analyzed using Solexa sequencing data.

results1008 miRNAs co-expressed, 309 and 433 miRNAs specifically expressed in the ovaries of multiple and uniparous goats during follicular phase were identified. The 10 most highly expressed miRNAs in the multiple library were also the highest expressed in the uniparous library, and there were no significantly different between each other. The highest specific expressed miRNA in the multiple library was miR-29c, and the one in the uniparous library was miR-6406. 35 novel miRNAs were predicted in total. GO annotation and KEGG Pathway analyses were implemented on target genes of all miRNA in two libraries. RT-PCR was applied to detect the expression level of 5 randomly selected miRNAs in multiple and uniparous hircine ovaries, and the results were consistent with the Solexa sequencing data.

conclusionsIn the present study, the different expression of miRNAs in the ovaries of multiple and uniparous goats during follicular phase were characterized and investigated using deep sequencing technology. The result will help to further understand the role of miRNAs in kidding rate regulation and also may help to identify miRNAs which could be potentially used to increase hircine ovulation rate and kidding rate in the future.

Indexed as

Follicular PhaseAnimalsFemaleGoatsMicroRNAsOvaryPolymerase Chain ReactionRNA Processing, Post-TranscriptionalMicroRNAs

Identifiers

PMID24886377
PMCPMC4035069

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.