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Related Experiment Video

Updated: May 12, 2026

Application of Long-term cultured Interferon-γ Enzyme-linked Immunospot Assay for Assessing Effector and Memory T Cell Responses in Cattle
15:57

Application of Long-term cultured Interferon-γ Enzyme-linked Immunospot Assay for Assessing Effector and Memory T Cell Responses in Cattle

Published on: July 11, 2015

Meta-Analysis of Transcriptomic Datasets Reveals Key Immune Gene Profiles and Signaling Pathways in Bos taurus.

Vennila Kanchana Devi Marimuthu1, Kishore Matheswaran1, Menaka Thambiraja2

  • 1Department of Data Science, School of Arts, Science, Humanities and Education, SASTRA Deemed To Be University, Thanjavur, India.

Animal Genetics
|May 10, 2026
PubMed
Summary
This summary is machine-generated.

This study integrated cattle transcriptomic data to identify consistent immune gene expression patterns. Researchers found 28 differentially expressed genes (DEGs) related to bovine immune responses, enhancing disease resistance understanding.

Keywords:
Bos taurusimmune responsemeta‐analysissignaling pathwaytranscriptomics

Related Experiment Videos

Last Updated: May 12, 2026

Application of Long-term cultured Interferon-γ Enzyme-linked Immunospot Assay for Assessing Effector and Memory T Cell Responses in Cattle
15:57

Application of Long-term cultured Interferon-γ Enzyme-linked Immunospot Assay for Assessing Effector and Memory T Cell Responses in Cattle

Published on: July 11, 2015

Area of Science:

  • Veterinary Immunology
  • Comparative Genomics
  • Bioinformatics

Background:

  • Understanding cattle immune mechanisms is crucial for disease resistance, breeding, and vaccine development.
  • Transcriptomic studies in cattle exhibit significant variability, limiting generalizability.
  • Meta-analysis offers a powerful approach to consolidate findings and identify consistent immune response patterns.

Purpose of the Study:

  • To perform a meta-analysis of bovine RNA-sequencing datasets to identify immune-related differentially expressed genes (DEGs) in Bos taurus.
  • To establish a robust meta-analytic framework for analyzing conserved immune signaling mechanisms in cattle.
  • To enhance understanding of bovine immune responses for improved disease resistance strategies.

Main Methods:

  • Systematic integration of four bovine transcriptomic datasets focused on mycobacterial infections.
  • Utilized a bioinformatics pipeline including FastQC, Trimmomatic, Bowtie2, SAMtools, FeatureCounts, DESeq2, and MetaRNASeq.
  • Identified differentially expressed genes (DEGs) and performed KEGG enrichment analysis.

Main Results:

  • Identified 28 immune-related DEGs (12 upregulated, 16 downregulated) in Bos taurus.
  • Highlighted key genes such as IL1A, RGS2, RCAN1, ZBP1, TIMD4, PPARG, TLR10, and ACP5.
  • KEGG analysis revealed involvement in pathways like necroptosis, osteoclast differentiation, and signaling pathways related to inflammation and immune cell differentiation.

Conclusions:

  • A reproducible meta-analytic framework was developed for bovine immune transcriptomic data.
  • This meta-analysis provides a robust identification of conserved immune signaling mechanisms in cattle.
  • Findings contribute to a deeper understanding of cattle immunity, with implications for disease resistance and translational applications.