Evidence map›Paper›PMID 38003048›Full record

ArticleGenes2023

Identification of Hub Genes and Target miRNAs Crucial for Milk Production in Holstein Friesian Dairy Cattle.

Zahra Roudbari, Morteza Mokhtari, Abdolvahab Ebrahimpour Gorji, Tomasz Sadkowski, Ayeh Sadat Sadr, Masoud Shirali

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 68% 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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 4 institutions in 3 countries.

Zahra RoudbariDepartment of Animal Science, Faculty of Agriculture, University of Jiroft, Jiroft 7867155311, Iran.ORCID 0000-0002-3357-3126
Morteza MokhtariDepartment of Animal Science, Faculty of Agriculture, University of Jiroft, Jiroft 7867155311, Iran.
Abdolvahab Ebrahimpour GorjiDepartment of Physiological Sciences, Institute of Veterinary Medicine, Warsaw University of Life Science, 02-776 Warsaw, Poland.
Tomasz SadkowskiDepartment of Physiological Sciences, Institute of Veterinary Medicine, Warsaw University of Life Science, 02-776 Warsaw, Poland.ORCID 0000-0001-9175-7110
Ayeh Sadat SadrPreclinical Modelling of Paediatric Cancer Evolution, Molecular Pathology Division, The Institute of Cancer Research, London SW7 3RP, UK.
Masoud ShiraliAgri-Food and Biosciences Institute, Belfast BT9 5PX, UK.ORCID 0000-0002-5401-0541
University of Jiroft · IRWarsaw University of Life Sciences · PLInstitute of Cancer Research · GBQueen's University Belfast · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dairy milk production is a quantitative trait that is controlled by many biological and environmental factors. This study employs a network-driven systems approach and clustering algorithm to uncover deeper insights into its genetic associations. We analyzed the GSE33680 dataset from the GEO database to understand the biological importance of milk production through gene expression and modules. In this study, we employed CytoNCA and ClusterONE plugins within Cytoscape for network analysis. Moreover, miRWalk software was utilized to detect miRNAs, and DAVID was employed to identify gene ontology and pathways. The results revealed 140 up-regulated genes and 312 down-regulated genes. In addition, we have identified 91 influential genes and 47 miRNAs that are closely associated with milk production. Through our examination of the network connecting these genes, we have found significant involvement in important biological processes such as calcium ion transit across cell membranes, the BMP signaling pathway, and the regulation of MAPK cascade. The conclusive network analysis further reveals that

Indexed as

MicroRNAsAnimalsCattleGene Regulatory NetworksMilkPhenotypeSignal TransductionMicroRNAsgene ontologymilk productionmiRNA identificationnetwork analysis

Identifiers

PMID38003048
PMCPMC10671684
OpenAlexW4388834278

What OpenQuestion holds

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LicenceCC BY
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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.