Development of a DNA microarray for detection of expressed equine classical MHC class I sequences in a defined population.
Abstract: Development of an accurate and efficient molecular-based equine MHC class I typing method would facilitate the study of T lymphocyte immune responses in horses. Here, a DNA microarray was designed to detect expressed classical MHC class I genes comprising serologically defined equine leukocyte antigen (ELA)-A haplotypes represented in a closed Arabian horse breeding herd. Initially, cloning and sequencing of RT-PCR products were used to identify sequences associated with the ELA-A1, A4, and W11 haplotypes, and one undefined haplotype, in six horses. Subsequently, sequence-specific, conserved (positive control), and random nucleotide (negative control) 23- to 27-mer oligonucleotide microarray probes were designed and spotted onto an epoxy-coated masked slide using a robotic arrayer. Bulk RT-PCR products from each horse were biotinylated by nick translation, hybridized to the array, and detected using tyramide signal amplification. The microarray consistently detected eight of nine classical MHC class I transcripts and allowed ELA haplotypic associations to be made. Cloning and sequencing of RT-PCR products were then performed in a group of ELA disparate horses and ponies, in which six novel sequences were identified. This group was used to determine the specificity of the array. Overall, the microarray was more efficient than cloning and sequencing for detecting expressed classical MHC class I sequences in this defined population of horses, and was significantly more specific than serology. These results confirmed the utility of a microarray-based method for high-resolution MHC class I typing in the horse. With additional probes the array could be useful in a broader population.
Publication Date: 2010-08-04 PubMed ID: 20683590PubMed Central: PMC3359745DOI: 10.1007/s00251-010-0463-yGoogle Scholar: Lookup
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- Journal Article
- Research Support
- N.I.H.
- Extramural
- Research Support
- Non-U.S. Gov't
- Research Support
- U.S. Gov't
- P.H.S.
- Arabian Horses
- Biotechnology
- Cloning
- Diagnosis
- Diagnostic Technique
- Disease Diagnosis
- DNA
- Equine Diseases
- Equine Health
- Equine Science
- Genetics
- Horse Breeds
- Immunology
- In Vitro Research
- Laboratory Methods
- Major Histocompatibility Complex (MHC)
- Microbiology
- Molecular biology
- Reproduction
- Veterinary Research
- Veterinary Science
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
This research paper is about the development of a DNA microarray that successfully detects major histocompatibility complex (MHC) class I sequences (part of the immune system) in horses, which can aid in studying T lymphocyte immune responses.
Research Purpose and Method
- The main aim of the research was to create an accurate and efficient molecular-based typing method for equine MHC class I, which would improve the study of T lymphocyte immune responses in horses.
- The authors decided to use a DNA microarray as it is a high-throughput technology that allows for the detection of different sequences at a time, thus enabling an efficient approach to identifying MHC class I.
- The study started with cloning and sequencing of RT-PCR products to identify sequences associated with the ELA-A1, A4, and W11 haplotypes, and one undefined haplotype, in six horses from a closed Arabian horse breeding herd.
- After the identification phase, sequence-unique, conserved and random nucleotide oligonucleotide microarray probes were designed and spotted onto an epoxy-coated mask slide. This set up allows for precise detection of individual sequences.
Results and Conclusions
- The microarray was successful in consistently detecting eight out of nine classical MHC class I transcripts, thus proving its efficiency over regular cloning and sequencing methods.
- Further, the researchers were able to make ELA haplotypic associations using the detected MHC class I sequences.
- The microarray was then tested on a group of ELA disparate horses and ponies, where it was able to find six new sequences that were previously undetected, further proving the efficiency and specificity of the array method over serology and cloning and sequencing.
- The authors concluded that the microarray method is more efficient at detecting expressed classical MHC class I sequences in this defined population of horses than traditional methodologies.
- Moreover, they proposed that the microarray could be made useful in a broader population with the additions of more probes.
- The overall contribution of this study lies in its development of a high-resolution MHC class I typing method for horse immune studies which can be deployed in a broader horse population in future.
Cite This Article
APA
Ramsay JD, Leib SR, Orfe L, Call DR, Tallmadge RL, Fraser DG, Mealey RH.
(2010).
Development of a DNA microarray for detection of expressed equine classical MHC class I sequences in a defined population.
Immunogenetics, 62(9), 633-639.
https://doi.org/10.1007/s00251-010-0463-y Publication
Researcher Affiliations
- Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, WA 99164-7040, USA.
MeSH Terms
- Animals
- Biomarkers / metabolism
- Gene Expression Profiling
- Genes, MHC Class I / genetics
- Haplotypes / genetics
- Horses / genetics
- Oligonucleotide Array Sequence Analysis
- RNA, Messenger / genetics
- Reverse Transcriptase Polymerase Chain Reaction
Grant Funding
- K02 AI073101 / NIAID NIH HHS
- AI073101 / NIAID NIH HHS
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Citations
This article has been cited 2 times.- Vasoya D, Tzelos T, Benedictus L, Karagianni AE, Pirie S, Marr C, Oddsdóttir C, Fintl C, Connelley T. High-Resolution Genotyping of Expressed Equine MHC Reveals a Highly Complex MHC Structure.. Genes (Basel) 2023 Jul 10;14(7).
- Sadeghi R, Moradi-Shahrbabak M, Miraei Ashtiani SR, Miller DC, Antczak DF. MHC haplotype diversity in Persian Arabian horses determined using polymorphic microsatellites.. Immunogenetics 2018 May;70(5):305-315.
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