Evidence map›Paper›PMID 33879202›Full record

ArticleJournal of ovarian research2021

Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth.

Derek Toms, Bo Pan, Yinshan Bai, Julang Li

Open access · goldAbstract read
In one paragraph

Article in Journal of ovarian research, 2021. 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
1.2field-weighted citation impact, top 24% 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, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. MicroRNA 195-5p TargetsInternational journal of molecular sciences · 2021
    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

4 authors at 3 institutions in 2 countries.

Derek TomsDepartment of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada. derek.toms@ucalgary.ca.ORCID http://orcid.org/0000-0002-5114-7147
Bo PanDepartment of Animal Biosciences, University of Guelph, Guelph, ON, Canada.
Yinshan BaiDepartment of Animal Biosciences, University of Guelph, Guelph, ON, Canada.
Julang LiDepartment of Animal Biosciences, University of Guelph, Guelph, ON, Canada.
University of Guelph · CAFoshan University · CNUniversity of Calgary · CA

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada 400259
6 · The paper itself

Abstract

Nuclear small RNAs have emerged as an important subset of non-coding RNA species that are capable of regulating gene expression. A type of small RNA, microRNA (miRNA) have been shown to regulate development of the ovarian follicle via canonical targeting and translational repression. Little has been done to study these molecules at a subcellular level. Using cell fractionation and high throughput sequencing, we surveyed cytoplasmic and nuclear small RNA found in the granulosa cells of the pig ovarian antral preovulatory follicle. Bioinformatics analysis revealed a diverse network of small RNA that differ in their subcellular distribution and implied function. We identified predicted genomic DNA binding sites for nucleus-enriched miRNAs that may potentially be involved in transcriptional regulation. The small nucleolar RNA (snoRNA) SNORA73, known to be involved in steroid synthesis, was also found to be highly enriched in the cytoplasm, suggesting a role for snoRNA species in ovarian function. Taken together, these data provide an important resource to study the small RNAome in ovarian follicles and how they may impact fertility.

Indexed as

AnimalsFemaleGranulosa CellsHumansMicroRNAsOvarian FollicleSequence Analysis, RNASwineMicroRNAsCellular fractionationCytoplasmFollicleGranulosa cellsMicrornaNext generation sequencingNucleusOvarianOvaryPigReproductive biologyRNA-seqsmallRNAsnoRNA

Identifiers

PMID33879202
PMCPMC8059229
OpenAlexW3152982364

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.