In Silico HLA Typing Using Standard RNA-Seq Sequence Reads

Methods Mol Biol. 2015:1310:247-58. doi: 10.1007/978-1-4939-2690-9_20.

Abstract

Next-generation sequencing (NGS) enables high-throughput transcriptome profiling using the RNA-Seq assay, resulting in billions of short sequence reads. Worldwide adoption has been rapid: many laboratories worldwide generate transcriptome sequence reads daily. Here, we describe methods for obtaining a sample's human leukocyte antigen (HLA) class I and II types and HLA expression using standard NGS RNA-Seq sequence reads. We demonstrate the application using our algorithm, seq2HLA, and a publicly available RNA-Seq dataset from the Burkitt lymphoma cell line Raji.

MeSH terms

  • Burkitt Lymphoma / genetics
  • Cell Line, Tumor
  • Computer Simulation
  • Gene Expression Profiling / methods*
  • HLA Antigens / genetics*
  • High-Throughput Nucleotide Sequencing / methods*
  • Histocompatibility Testing / methods*
  • Humans
  • RNA / genetics
  • Sequence Analysis, RNA / methods*
  • Software

Substances

  • HLA Antigens
  • RNA