Bioinformatics results of exosomal miRNA analysis in MAP-infected goats
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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: jkkim@udel.edu or nutrigenomics@korea.ac.kr Related manuscript: Submitted to Developmental and Comparative Immunology (DOI pending)
副结核病(Johne’s disease)山羊外泌体microRNA(miRNA)谱分析补充生物信息学数据集 本文件夹包含题为《外泌体microRNA谱分析揭示山羊副结核病进展相关候选生物标志物及调控特征》的研究的补充生物信息学分析结果。 所有文件均基于外泌体小RNA测序数据生成,分析工作采用IPA(Qiagen公司)及DESeq2(R语言统计工具)完成。 包含以下文件: DEmiRs_analysis_results.xlsx:涵盖不同疾病阶段的差异表达microRNA分析结果,包含log2倍变化值与校正后P值。 Diseases_and_Functions_results.xlsx:与差异表达microRNA相关的功能富集分析及疾病类别预测结果。 Upstream_Regulators_results.xlsx:基于表达模式与调控网络预测得到的上游调控因子分析结果。 Network_Analysis_results.xlsx:基于核心microRNA与靶基因构建的分子互作网络可视化结果。 miRNA_mRNA_pairing_results.xlsx:预测得到的miRNA-mRNA互作结果,包含配对置信度与基因注释详情。 授权协议:CC BY 4.0 通讯作者: 金在谦(Jae Kyeom Kim),理学硕士、哲学博士 韩国高丽大学食品与生物技术系,韩国世宗特别自治市30019 美国特拉华大学健康行为与营养科学系,美国特拉华州纽瓦克市19711 电子邮箱:jkkim@udel.edu 或 nutrigenomics@korea.ac.kr 相关稿件:已提交至《Developmental and Comparative Immunology》(DOI待公布)




