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A Kmer-based paired-end read de novo assembler and genotyper for canine MHC class I genotyping.
Feng, Yuan; Hess, Paul R; Tompkins, Stephen M; Hildebrand, William H; Zhao, Shaying.
Afiliação
  • Feng Y; Department of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.
  • Hess PR; Department of Clinical Sciences, North Carolina State University, College of Veterinary Medicine, Raleigh, NC 27607, USA.
  • Tompkins SM; Center for Vaccines and Immunology, University of Georgia, UGA, Athens, GA 30602, USA.
  • Hildebrand WH; Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
  • Zhao S; Department of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.
iScience ; 26(2): 105996, 2023 Feb 17.
Article em En | MEDLINE | ID: mdl-36798440
The major histocompatibility complex class I (MHC-I) genes are highly polymorphic. MHC-I genotyping is required for determining the peptide epitopes available to an individual's T-cell repertoire. Current genotyping software tools do not work for the dog, due to very limited known canine alleles. To address this, we developed a Kmer-based paired-end read (KPR) de novo assembler and genotyper, which assemble paired-end RNA-seq reads from MHC-I regions into contigs, and then genotype each contig and estimate its expression level. KPR tools outperform other popular software examined in typing new alleles. We used KPR tools to successfully genotype152 dogs from a published dataset. The study discovers 33 putative new alleles, finds dominant alleles in 4 dog breeds, and builds allele diversity and expression landscapes among the 152 dogs. Our software meets a significant need in biomedical research.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article