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Published on: September 22, 2020
Analysis of porcine MHC using microarrays
Yu Gao1, Per Wahlberg, Sylvain Marthey
1INRA, UMR 1313 de Génétique Animale et Biologie Intégrative, Domaine de Vilvert, 78350 Jouy-en-Josas, France.
Veterinary Immunology and Immunopathology
|May 13, 2011
Summary
The Swine Leucocyte Antigen (SLA) complex, crucial for pathogen response, showed altered gene expression in pigs upon immune stimulation. High-density tiling arrays revealed changes in immune gene activity and improved gene annotation.
Area of Science:
- Immunogenetics
- Comparative Genomics
- Molecular Biology
Background:
- The Major Histocompatibility Complex (MHC) is a gene-dense region critical for immune responses and autoimmunity.
- The pig MHC, known as the Swine Leucocyte Antigen (SLA) complex, spans 2.4 megabases with 151 annotated loci.
- Understanding SLA regulation and diversity is vital for swine immunology and breeding.
Purpose of the Study:
- To investigate transcriptome modifications within the SLA complex of pigs.
- To analyze gene expression changes in porcine peripheral blood mononuclear cells upon immune stimulation.
- To evaluate the utility of high-density tiling arrays for SLA gene annotation and expression mapping.
Main Methods:
- Review of previous RNA expression studies using microarrays.
- Novel data generation using high-density tiling arrays across the entire SLA complex.
- Stimulation of porcine peripheral blood mononuclear cells with phorbol myristate acetate and ionomycin.
Main Results:
- Numerous SLA loci were affected by immune cell stimulation.
- A decrease in expression of MHC class I and II genes was observed.
- Upregulation of genes involved in peptide processing and transport was detected.
- Tiling arrays facilitated refined gene annotation, exemplified by SLA-11.
Conclusions:
- High-density tiling arrays are effective for comprehensive transcription mapping of the SLA complex.
- These arrays aid in improving genome annotations for the SLA region.
- Further research will combine tiling arrays with next-generation sequencing to characterize SLA genetic diversity.
