ArticleFrontiers in genetics2022
Investigating circulating miRNA in transition dairy cows: What miRNAomics tells about metabolic adaptation.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Serum miRNA Changes Associated with Grape Pomace Supplementation in Dairy Sheep.Animals : an open access journal from MDPI · 2026Article
- Integrated miRNA-seq and RNA-seq analysis reveals stage-specific miRNA-mRNA regulatory networks in Populus yunnanensis under salt stress.BMC genomics · 2026Article
- Negative energy balance by feed deprivation affects the adipose miRNome in the lactating goat.Journal of animal science · 2025Article
- miRNA-protein-metabolite interaction network reveals the regulatory network and players of pregnancy regulation in dairy cows.Frontiers in cell and developmental biology · 2024Review
- Growth and development of the mammary gland in mice-control of the insulin-like growth factor system by hormones and metalloproteases, and putative interference with micro RNAs.Animal frontiers : the review magazine of animal agriculture · 2023Article
- First insight into extracellular vesicle-miRNA characterization in a sheepFrontiers in veterinary science · 2023Article
- Transcriptome Analysis Reveals That NEFA and β-Hydroxybutyrate Induce Oxidative Stress and Inflammatory Response in Bovine Mammary Epithelial Cells.Metabolites · 2022Article
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Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the current study, we investigated dairy cows' circulating microRNA (miRNA) expression signature during several key time points around calving, to get insights into different aspects of metabolic adaptation. In a trial with 32 dairy cows, plasma samples were collected on days -21, 1, 28, and 63 relative to calving. Individually extracted total RNA was subjected to RNA sequencing using NovaSeq 6,000 (Illumina, CA) on the respective platform of IGA Technology Services, Udine, Italy. MiRDeep2 was used to identify known and novel miRNA according to the miRbase collection. Differentially expressed miRNA (DEM) were assessed at a threshold of fold-change > 1.5 and false discovery rate < 0.05 using the edgeR package. The MiRWalk database was used to predict DEM targets and their associated KEGG pathways. Among a total of 1,692 identified miRNA, 445 known miRNA were included for statistical analysis, of which 84, 59, and 61 DEM were found between days -21 to 1, 1 to 28, and 28 to 63, respectively. These miRNA were annotated to KEGG pathways targeting the insulin, MAPK, Ras, Wnt, Hippo, sphingolipid, T cell receptor, and mTOR signaling pathways. MiRNA-mRNA network analysis identified miRNA as master regulators of the biological process including miR-138, miR-149-5p, miR-2466-3p, miR-214, miR-504, and miR-6523a. This study provided new insights into the miRNA signatures of transition to the lactation period. Calving emerged as a critical time point when miRNA were most affected, while the following period appeared to be recovering from massive parturition changes. The primarily affected pathways were key signaling pathways related to establishing metabolic and immune adaptations.
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