Bioinformatics results of exosomal miRNA analysis in MAP-infected goats

Supplementary bioinformatics data for exosomal miRNA profiling in Johne’s disease

This folder contains supplementary bioinformatics analysis results from the study titled
“Exosomal microRNA profiling reveals candidate biomarkers and regulatory signatures associated with Johne’s disease progression in goats”.

All files were generated using exosomal small RNA sequencing data. Analyses were performed using IPA (Qiagen) and statistical tools such as DESeq2 (R).

Included files:

DEmiRs_analysis_results.xlsx: Differentially expressed miRNAs across disease stages, including log2 fold changes and adjusted p-values.

Diseases_and_Functions_results.xlsx: Functional enrichment and disease category predictions associated with altered miRNAs.

Upstream_Regulators_results.xlsx: Predicted upstream regulators based on expression patterns and regulatory networks.

Network_Analysis_results.xlsx: Molecular interaction network visualization based on key miRNAs and target genes.

miRNA_mRNA_pairing_results.xlsx: Predicted miRNA–mRNA interactions with pairing confidence and gene annotation details.

License: CC BY 4.0
Corresponding author:
Jae Kyeom Kim, MS, PhD
Department of Food and Biotechnology, Korea University, Sejong 30019, Republic of Korea
Department of Health Behavior and Nutrition Sciences, University of Delaware, Newark, DE 19711, USA
E-mail: [e-mail] or [e-mail]
Related manuscript: Submitted to Developmental and Comparative Immunology (DOI pending)