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Differential microRNAs expression profiles in liver from three different lifestyle modification mice models
- Source :
- BMC Genomics, Vol 22, Iss 1, Pp 1-14 (2021), BMC Genomics
- Publication Year :
- 2021
- Publisher :
- BMC, 2021.
-
Abstract
- Background MicroRNAs play an important role in many fundamental biological and pathological processes. Defining the microRNAs profile underlying the processes by beneficial and detrimental lifestyles, including caloric restriction (CR), exercise and high-fat diet (HF), is necessary for understanding both normal physiology and the pathogenesis of metabolic disease. We used the microarray to detect microRNAs expression in livers from CR, EX and HF mice models. After predicted potential target genes of differentially expressed microRNAs with four algorithms, we applied GO and KEGG to analyze the function of predicted microRNA targets. Results We describe the overall microRNAs expression pattern, and identified 84 differentially expressed microRNAs changed by one or two or even all the three lifestyle modifications. The common and different enriched categories of gene function and main biochemical and signal transduction pathways were presented. Conclusions We provided for the first time a comprehensive and thorough comparison of microRNAs expression profiles in liver among these lifestyle modifications. With this knowledge, our findings provide us with an overall vision of microRNAs in the molecular impact of lifestyle on health as well as useful clues for future and thorough research of the role of microRNAs.
- Subjects :
- Microarray
lcsh:QH426-470
lcsh:Biotechnology
Caloric restriction
Computational biology
Biology
Proteomics
Diet, High-Fat
03 medical and health sciences
Mice
0302 clinical medicine
lcsh:TP248.13-248.65
microRNA
Genetics
Animals
KEGG
Gene
Life Style
Exercise
030304 developmental biology
0303 health sciences
Gene Expression Profiling
Lifestyle modifications
MicroRNAs
lcsh:Genetics
High-fat diet
Liver
Signal transduction
DNA microarray
030217 neurology & neurosurgery
Function (biology)
Biotechnology
Signal Transduction
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 14712164
- Volume :
- 22
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Genomics
- Accession number :
- edsair.doi.dedup.....913e85029ca22d9d2ca22c3e61ec8ba6