Evidence map›Paper›PMID 35893032›Full record

ArticleGenes2022

lncRNA-miRNA-mRNA ceRNA Network Involved in Sheep Prolificacy: An Integrated Approach.

Masoumeh Sadeghi, Abolfazl Bahrami, Aliakbar Hasankhani, Hamed Kioumarsi, Reza Nouralizadeh, Sarah Ali Abdulkareem, Farzad Ghafouri, Herman W Barkema

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 7% 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, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 4 countries.

Masoumeh Sadeghi *Environmental Health, Zahedan University of Medical Sciences, Zahedan 98, Iran.
Abolfazl Bahrami *Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj 31, Iran.ORCID 0000-0001-7330-4134
Aliakbar Hasankhani *Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj 31, Iran.ORCID 0000-0002-4757-7099
Hamed KioumarsiDepartment of Animal Science Research, Gilan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Rasht 43, Iran.ORCID 0000-0002-0783-0934
Reza NouralizadehDepartment of Food and Drug Control, Faculty of Pharmacy, Jundishapour University of Medical Sciences, Ahvaz 63, Iran.
Sarah Ali AbdulkareemDepartment of Computer Science, Al-Turath University College, Al Mansour, Baghdad 10011, Iraq.
Farzad GhafouriDepartment of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj 31, Iran.
Herman W BarkemaDepartment of Production Animal Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB T2N4Z6, Canada.ORCID 0000-0002-9678-8378
University of Tehran · IRAhvaz Jundishapur University of Medical Sciences · IRAl-Turath University · IQSoil Conservation and Watershed Management Research · IRUniversity of Calgary · CAZahedan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the molecular pattern of fertility is considered as an important step in breeding of different species, and despite the high importance of the fertility, little success has been achieved in dissecting the interactome basis of sheep fertility. However, the complex mechanisms associated with prolificacy in sheep have not been fully understood. Therefore, this study aimed to use competitive endogenous RNA (ceRNA) networks to evaluate this trait to better understand the molecular mechanisms responsible for fertility. A competitive endogenous RNA (ceRNA) network of the corpus luteum was constructed between Romanov and Baluchi sheep breeds with either good or poor genetic merit for prolificacy using whole-transcriptome analysis. First, the main list of lncRNAs, miRNAs, and mRNA related to the corpus luteum that alter with the breed were extracted, then miRNA−mRNA and lncRNA−mRNA interactions were predicted, and the ceRNA network was constructed by integrating these interactions with the other gene regulatory networks and the protein−protein interaction (PPI). A total of 264 mRNAs, 14 lncRNAs, and 34 miRNAs were identified by combining the GO and KEGG enrichment analyses. In total, 44, 7, 7, and 6 mRNAs, lncRNAs, miRNAs, and crucial modules, respectively, were disclosed through clustering for the corpus luteum ceRNA network. All these RNAs involved in biological processes, namely proteolysis, actin cytoskeleton organization, immune system process, cell adhesion, cell differentiation, and lipid metabolic process, have an overexpression pattern (Padj < 0.01). This study increases our understanding of the contribution of different breed transcriptomes to phenotypic fertility differences and constructed a ceRNA network in sheep (Ovis aries) to provide insights into further research on the molecular mechanism and identify new biomarkers for genetic improvement.

Indexed as

MicroRNAsRNA, Long NoncodingAnimalsFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksRNA, MessengerSheepMicroRNAsRNA, Long NoncodingRNA, Messengercorpus luteumlncRNA–miRNA–mRNA ceRNA networkprolificacyprotein–protein interactionRNA-seqsheep

Identifiers

PMID35893032
PMCPMC9332185
OpenAlexW4286697706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.