NanoHLA: A Method for Human Leukocyte Antigen Class I Genes Typing Without Error Correction Based on Nanopore Sequencing Data.

Human leukocyte antigen (HLA) typing is of great importance in clinical applications such as organ transplantation, blood transfusion, disease diagnosis and treatment, and forensic analysis. In recent years, nanopore sequencing technology has emerged as a rapid and cost-effective option for HLA typing. However, due to the principles and data characteristics of nanopore sequencing, there was a scarcity of robust and generalizable bioinformatics tools for its downstream analysis, posing a significant challenge in deciphering the thousands of HLA alleles present in the human population. To address this challenge, we developed NanoHLA as a tool for high-resolution typing of HLA class I genes without error correction based on nanopore sequencing. The method integrated the concepts of HLA type coverage analysis and the data conversion techniques employed in Nano2NGS, which was characterized by applying nanopore sequencing data to NGS-liked data analysis pipelines. In validation with public nanopore sequencing datasets, NanoHLA showed an overall concordance rate of 84.34% for HLA-A, HLA-B, and HLA-C, and demonstrated superior performance in comparison to existing tools such as HLA-LA. NanoHLA provides tools and solutions for use in HLA typing related fields, and look forward to further expanding the application of nanopore sequencing technology in both research and clinical settings. The code is available at https://github.com/langjidong/NanoHLA .

Untranslated regions (UTRs) are a potential novel source of neoantigens for personalised immunotherapy.

Background: Neoantigens, mutated tumour-specific antigens, are key targets of anti-tumour immunity during checkpoint inhibitor (CPI) treatment. Their identification is fundamental to designing neoantigen-directed therapy. Non-canonical neoantigens arising from the untranslated regions (UTR) of the genome are an overlooked source of immunogenic neoantigens. Here, we describe the landscape of UTR-derived neoantigens and release a computational tool, PrimeCUTR, to predict UTR neoantigens generated by start-gain and stop-loss mutations. Methods: We applied PrimeCUTR to a whole genome sequencing dataset of pre-treatment tumour samples from CPI-treated patients (n = 341). Cancer immunopeptidomic datasets were interrogated to identify MHC class I presentation of UTR neoantigens. Results: Start-gain neoantigens were predicted in 72.7% of patients, while stop-loss mutations were found in 19.3% of patients. While UTR neoantigens only accounted 2.6% of total predicted neoantigen burden, they contributed 12.4% of neoantigens with high dissimilarity to self-proteome. More start-gain neoantigens were found in CPI responders, but this relationship was not significant when correcting for tumour mutational burden. While most UTR neoantigens are private, we identified two recurrent start-gain mutations in melanoma. Using immunopeptidomic datasets, we identify two distinct MHC class I-presented UTR neoantigens: one from a recurrent start-gain mutation in melanoma, and one private to Jurkat cells. Conclusion: PrimeCUTR is a novel tool which complements existing neoantigen discovery approaches and has potential to increase the detection yield of neoantigens in personalised therapeutics, particularly for neoantigens with high dissimilarity to self. Further studies are warranted to confirm the expression and immunogenicity of UTR neoantigens.

Identification of the novel HLA-B*13:191 allele by next-generation sequencing.

The novel HLA-B*13:191 allele was detected during the HLA typing for kidney transplantation.

Characterization of the novel HLA-C*06:376N allele by Pacific Biosciences HiFi sequencing in a Chinese individual.

HLA-C*06:376N differs from HLA-C*06:02:01:01 by seven nucleotide changes in exon 2, intron 2, and exon 3.

Detection of the HLA-C*07:04:29 allele in a Chinese individual.

HLA-C*07:04:29 differs from HLA-C*07:04:01:01 by a single substitution in exon 4.

Identification of the novel HLA-C allele, HLA-C*07:02:150.

A novel HLA-C*07 allele, now officially designated HLA-C*07:02:150, was identified by next-generation sequencing.

Characterisation of the novel HLA-B*58:02:04 allele by next-generation sequencing.

HLA-B*58:02:04 differs from HLA-B*58:02:01 by one synonymous nucleotide in codon 215 in exon 4.

Characterization of the novel HLA-B*40:538 allele by next-generation sequencing.

The HLA-B*40:538 allele differs from HLA-B*40:01:02:01 at position 905 C→T in exon 5.

The novel HLA-C*07:02:147 allele characterised by two different sequencing-based typing techniques.

The novel allele HLA-C*07:02:147 differs from HLA-C*07:02:01:01 by one synonymous nucleotide substitution in exon 2.

The novel HLA-C*03:94:02 allele identified by next-generation sequencing in a Chinese individual.

HLA-C*03:94:02 differs from HLA-C*03:94:01 by a single nucleotide substitution in exon 2 (codon 17 GGA->GGG).

Detection of the novel HLA-B*55:01:31, HLA-C*07:1113 alleles and confirmation of HLA-C*12:392.

Novel HLA-B*55:01:31, HLA-C*07:1113 alleles and confirmatory HLA-C*12:392 allele were detected during the HLA typing process.

Detection of two HLA-B*35 variants: HLA-B*35:01:01:39 and -B*35:03:01:32.

Two nucleotide substitutions in intronic regions give rise to the novel alleles: HLA-B*35:01:01:39 and -B*35:03:01:32.

The novel HLA-B*46:01:42 allele, identified by Sanger dideoxy nucleotide sequencing in a Chinese individual.

HLA-B*46:01:42 differs from HLA-B*46:01:01:01 by one nucleotide in exon 5.

Identification of the novel HLA-C*14:159 allele by next-generation sequencing.

The novel HLA-C*14:159 allele was detected during the routine HLA typing for kidney transplantation.

A novel HLA-C*17 variant, HLA-C*17:01:01:29, identified in a healthy individual from Greece.

HLA-C*17:01:01:29 differs from the HLA-C*17:01:01:05 allele by one nucleotide substitution in the 3'UTR.

A novel HLA-C*04 variant, HLA-C*04:01:01:174, identified in a healthy individual from Greece.

HLA-C*04:01:01:174 differs from the HLA-C*04:01:01:06 allele by one nucleotide substitution in the intron 5.

A novel HLA-C*01 variant, HLA-C*01:02:01:70, identified in a healthy individual from Greece.

HLA-C*01:02:01:70 differs from the HLA-C*01:02:01:01 allele by one nucleotide substitution in the intron 4.

NLRC5/MHC class I transactivator: A key target for immune escape by SARS-CoV-2.

Antigen presentation to CD8+ T cells by MHC class I molecules is essential for host defense against viral infections. Various mechanisms have evolved in multiple viruses to escape immune surveillance and defense to support viral proliferation in host cells. Through in vitro SARS-CoV-2 infection studies and analysis of COVID-19 patient samples, we found that SARS-CoV-2 suppresses the induction of the MHC class I pathway by inhibiting the expression and function of NLRC5, a major transcriptional regulator of MHC class I genes. In this review, we discuss the molecular mechanisms for suppression of the MHC class I pathway and clinical implications for COVID-19.

Full-length sequence of the novel allele, HLA-B*58:01:40, identified in a Chinese individual.

HLA-B*58:01:40 differs from HLA-B*58:01:01 by a single nucleotide change in exon 3, 507 C- > T (codon 145.3 CGC- > CGT).

Genomic sequence of the novel HLA-B*41:02:01:11, and -C*08:266 alleles identified in a solid organ recipient.

HLA-B*41:02:01:11 and -C*08:266 were detected in a solid organ recipient during the HLA typing process.