Journal
FEBS JOURNAL
Volume 287, Issue 9, Pages 1899-1918Publisher
WILEY
DOI: 10.1111/febs.15114
Keywords
inflammation; mastitis; microRNA; next-generation sequencing; RNU2
Categories
Funding
- Project of the Bio-oriented Technology Research Advancement Institution, NARO (special scheme project on advanced research and the development for next-generation technology)
- JSPS KAKENHI [25660243, 17H03926]
- Grants-in-Aid for Scientific Research [25660243, 17H03926] Funding Source: KAKEN
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Mastitis is a common inflammatory infectious disease in dairy cows. To understand the microRNA (miRNA) expression profile changes during bovine mastitis, we undertook a genome-wide miRNA study of normal milk and milk that tested positive on the California mastitis test for bovine mastitis (CMT+). Twenty-five miRNAs were differentially expressed (23 miRNAs upregulated and two downregulated) during bovine mastitis relative to their expression in normal milk. Upregulated mature miR-1246 probably derived from a U2 small nuclear RNA rather than an miR-1246 precursor. The significantly upregulated miRNA precursors and RNU2 were significantly enriched on bovine chromosome 19, which is homologous to human chromosome 17. A gene ontology analysis of the putative mRNA targets of the significantly upregulated miRNAs showed that these miRNAs were involved in binding target mRNA transcripts and regulating target gene expression, and a Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that the upregulated miRNAs were predominantly related to cancer and immune system pathways. Three novel miRNAs were associated with bovine mastitis and were relatively highly expressed in milk. We confirmed that one of the novel mastitis-related miRNAs was significantly upregulated using a digital PCR system. The differentially expressed miRNAs were involved in human cancers, infections, and immune-related diseases. The genome-wide analysis of miRNA profiles in this study provides insight into bovine mastitis and inflammatory diseases. Databases The miRNAseq generated for this study can be found in the Sequence Read Archive (SRA) under BioProject Number PRJNA421075 and SRA Study Number SRP126134 ().
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