A dataset of Screening of immunity-Related miRNAs in Bovine Milk

Remaining sequences were used for known miRNA analysis, aligned to the reference genome using bowtie, and identified by comparison with the miRBase database. miRNA expression profiles were normalized.10-12 Differential expression analysis was performed using T-test, with P-value ≤0.05 as the screening criterion.miRNA Target Gene Prediction and Functional AnalysisTarget genes of significantly different miRNAs were predicted using TargetScan (V5.0)13-15 and miRanda (V3.3a)16-18.

Removing target genes with context score percentile less than 50 in TargetScan algorithm, and in the miRanda algorithm, target genes with a Max Energy less than -10 are removed (i.e., the threshold is TargetScan_score≥ 50), miranda_Energy < -10）.Genes predicted by both software were retained as final target genes, which were then subjected to GO and KEGG enrichment analysis to annotate their biological functions and identify immune-related miRNAs and their target genes.miRNA-gene-KEGG Network ConstructionCytoscape software was used to construct miRNA-gene and gene-KEGG networks, illustrating the regulatory pathways involving key miRNAs and their target genes.