Evidence map›Paper›PMID 37946430›Full record

ArticleAnimal bioscience2024

RNA-Seq explores the functional role of the fibroblast growth factor 10 gene in bovine adipocytes differentiation.

Nurgulsim Kaster, Rajwali Khan, Ijaz Ahmad, Kazhgaliyev Nurlybay Zhigerbayevich, Imbay Seisembay, Akhmetbekov Nurbolat, Shaikenova Kymbat Hamitovna, Omarova Karlygash Mirambekovna, Makhanbetova Aizhan Bekbolatovna, Tlegen Garipovich Amangaliyev and 5 more

Abstract read
In one paragraph

Article in Animal bioscience, 2024. 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
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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.

  1. Article
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4 · The record

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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

15 authors.

Nurgulsim KasterCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Rajwali KhanCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Ijaz AhmadDepartment of Livestock Management, Breeding and Genetics, Faculty of Animal Husbandry and Veterinary Sciences, The University of Agriculture Peshawar, 25130, Pakistan.
Kazhgaliyev Nurlybay ZhigerbayevichDepartment of Livestock Management, Breeding and Genetics, Faculty of Animal Husbandry and Veterinary Sciences, The University of Agriculture Peshawar, 25130, Pakistan.
Imbay SeisembayFaculty of Veterinary and Livestock Technology, S. Seifullin Kazakh Agro Technical University, Astana 010000, Kazakhstan.
Akhmetbekov NurbolatFaculty of Veterinary and Livestock Technology, S. Seifullin Kazakh Agro Technical University, Astana 010000, Kazakhstan.
Shaikenova Kymbat HamitovnaFaculty of Veterinary and Livestock Technology, S. Seifullin Kazakh Agro Technical University, Astana 010000, Kazakhstan.
Omarova Karlygash MirambekovnaFaculty of Veterinary and Livestock Technology, S. Seifullin Kazakh Agro Technical University, Astana 010000, Kazakhstan.
Makhanbetova Aizhan BekbolatovnaFaculty of Veterinary and Livestock Technology, S. Seifullin Kazakh Agro Technical University, Astana 010000, Kazakhstan.
Tlegen Garipovich AmangaliyevDepartment of Livestock Management, Breeding and Genetics, Faculty of Animal Husbandry and Veterinary Sciences, The University of Agriculture Peshawar, 25130, Pakistan.
Ateikhan BolatbekFaculty of Agricultural Sciences, Toraighyrov University, Pavlodar 140000, Kazakhstan.
Titanov Zhanat YeginbaevichFaculty of Agricultural Sciences, Toraighyrov University, Pavlodar 140000, Kazakhstan.
Shakoor AhmadCollege of Veterinary Sciences, Faculty of Animal Husbandry and Veterinary Sciences, The University of Agriculture Peshawar, 25130, Pakistan.
Zan LinsenCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.
Begenova Ainagul BaibolsynovnaCollege of Animal Science and Technology, Northwest A&F University, Yangling 712100, China.

Funding

Development Program of Shaanxi Province 2022ZDLNY01-01National Natural Science Foundation of China 31972994
6 · The paper itself

Abstract

objectiveThe present study was executed to explore the molecular mechanism of fibroblast growth factor 10 (FGF10) gene in bovine adipogenesis.

methodsThe bovine FGF10 gene was overexpressed through Ad-FGF10 or inhibited through siFGF10 and their negative control (NC) in bovine adipocytes, and the multiplicity of infection, transfection efficiency, interference efficiency were evaluated through quantitative real-time polymerase chain reaction, western blotting and fluorescence microscopy. The lipid droplets, triglycerides (TG) content and the expression levels of adipogenic marker genes were measured during preadipocytes differentiation. The differentially expressed genes were explored through deep RNA sequencing.

resultsThe highest mRNA level was found in omasum, subcutaneous fat, and intramuscular fat. Moreover, the highest mRNA level was found in adipocytes at day 4 of differentiation. The results of red-oil o staining showed that overexpression (Ad-FGF10) of the FGF10 gene significantly (p<0.05) reduced the lipid droplets and TG content, and their downregulation (siFGF10) increased the measurement of lipid droplets and TG in differentiated bovine adipocytes. Furthermore, the overexpression of the FGF10 gene down regulated the mRNA levels of adipogenic marker genes such as CCAAT enhancer binding protein alpha (C/EBPα), fatty acid binding protein (FABP4), peroxisome proliferator-activated receptor-γ (PPARγ), lipoprotein lipase (LPL), and Fas cell surface death receptor (FAS), similarly, down-regulation of the FGF10 gene enriched the mRNA levels of C/EBPα, PPARγ, FABP4, and LPL genes (p<0.01). Additionally, the protein levels of PPARγ and FABP4 were reduced (p<0.05) in adipocytes infected with Ad-FGF10 gene and enriched in adipocytes transfected with siFGF10. Moreover, a total of 1,774 differentially expressed genes (DEGs) including 157 up regulated and 1,617 down regulated genes were explored in adipocytes infected with Ad-FGF10 or Ad-NC through deep RNA-sequencing. The top Kyoto encyclopedia of genes and genomes pathways regulated through DEGs were the PPAR signaling pathway, cell cycle, base excision repair, DNA replication, apoptosis, and regulation of lipolysis in adipocytes.

conclusionTherefore, we can conclude that the FGF10 gene is a negative regulator of bovine adipogenesis and could be used as a candidate gene in marker-assisted selection.

Indexed as

Bovine AdipocytesFGF10 GeneIntramuscular FatRNA Sequencing

Identifiers

PMID37946430
PMCPMC11065710

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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.