HLA

HLA determines human leukocyte antigen (HLA) alleles from paired-end RNA-seq reads by analyzing k-mer content and comparing aggregated k-mer profiles to reference k-mer profiles.

Key Features:

• K-mer content analysis: Utilizes unique k-mer content present within each paired-end RNA-seq read pair to extract HLA-specific signals.
• Read-pair assignment to HLA genes: Assigns each read pair to a specific HLA gene based on its k-mer profile.
• Reference k-mer profile comparison: Aggregates k-mer profiles per gene and compares them against reference k-mer profiles to determine HLA type.
• Support for paired-end RNA-seq data: Optimized for paired-end RNA sequencing to enhance allele-calling accuracy.
• Integration with immunogenomics analyses: Facilitates characterization of tumor microenvironment and analysis of gene expression patterns associated with immune cell populations.
• RNA-seq workflow compatibility: Fits into RNA-seq workflows that include RNA extraction from diverse tissue types such as formalin-fixed, paraffin-embedded (FFPE) and fresh-frozen samples.
• Support for downstream immunogenomic feature extraction: Enables downstream analyses including differential gene expression and immune gene signature analysis.
• Compatibility with sequencing platforms and library methods: Operates with a range of RNA-seq library preparation methods and sequencing platforms.
• Viral transcript and immune response analysis support: Can be applied in analyses that quantify viral transcripts and assess immune responses.

Scientific Applications:

• Tumor microenvironment characterization: Infers HLA alleles to support analysis of immune cell interactions and transcriptomic patterns within tumors.
• Immunotherapy research: Provides HLA typing information relevant to antigen presentation and personalized immunotherapy studies.
• Viral transcript quantification and immune response analysis: Supports studies quantifying viral transcripts and evaluating host immune responses.
• Immunogenomic feature extraction in RNA-seq workflows: Integrates with RNA-seq pipelines to enable differential expression and immune gene signature analyses alongside HLA inference.

Methodology:

Computational steps include k-mer content analysis of paired-end RNA-seq read pairs, assignment of read pairs to HLA genes by k-mer profile, aggregation of gene-specific k-mer profiles, and comparison of aggregated profiles to reference k-mer profiles to infer HLA alleles; optimized for paired-end RNA-seq data.