Literature DB >> 31669229

Using Nanopore Whole-Transcriptome Sequencing for Human Leukocyte Antigen Genotyping and Correlating Donor Human Leukocyte Antigen Expression with Flow Cytometric Crossmatch Results.

Maureen C Montgomery1, Chang Liu2, Rosanne Petraroia3, Eric T Weimer4.   

Abstract

Transplant centers are increasingly using virtual crossmatching to evaluate recipient and donor compatibility. However, the current state of virtual crossmatching fails to incorporate donor human leukocyte antigen (HLA) expression in the assessment, despite numerous studies that have demonstrated the impact of donor HLA expression on physical crossmatch outcomes. Whole-transcriptome sequencing (RNA-Seq) for HLA enables simultaneous determination of HLA genotyping and relative HLA expression. Ultimately the RNA-Seq needs to be faster to be incorporated into the virtual crossmatching process. However, to demonstrate feasibility, the utility of the MinION sequencer (Oxford Nanopore Technologies, Oxford, UK) was evaluated in combination with RNA-Seq to generate HLA genotypes and to determine HLA class I expression. Although HLA class I expression varied among individuals, the pattern of HLA expression remained relatively consistent (HLA-B > HLA-A = HLA-C). HLA-A and -C had similar expression profiles. The impact of donor HLA expression was evaluated using serum samples containing a single donor-specific antibody (DSA). By making DSA consistent, donor HLA expression variability could be assessed. With consistent DSA mean fluorescence intensity, there was a direct relationship between the donor HLA expression to which the DSA is against and flow cytometric crossmatch median channel shifts.
Copyright © 2020 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31669229     DOI: 10.1016/j.jmoldx.2019.09.005

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  5 in total

1.  Regulation of HLA class I expression by non-coding gene variations.

Authors:  Florence Bettens; Halit Ongen; Guillaume Rey; Stéphane Buhler; Zuleika Calderin Sollet; Emmanouil Dermitzakis; Jean Villard
Journal:  PLoS Genet       Date:  2022-06-06       Impact factor: 6.020

Review 2.  A long road/read to rapid high-resolution HLA typing: The nanopore perspective.

Authors:  Chang Liu
Journal:  Hum Immunol       Date:  2020-05-01       Impact factor: 2.211

3.  Unique Molecular Identifier-Based High-Resolution HLA Typing and Transcript Quantitation Using Long-Read Sequencing.

Authors:  Caleb Cornaby; Maureen C Montgomery; Chang Liu; Eric T Weimer
Journal:  Front Genet       Date:  2022-06-13       Impact factor: 4.772

4.  HLA-B evolutionary divergence is associated with outcomes after SARS-CoV-2 infection.

Authors:  Patricia V Hernandez; Brian Duffy; Karl Hock; Christopher Farnsworth; Emily Schindler; Chang Liu
Journal:  Hum Immunol       Date:  2022-09-12       Impact factor: 2.211

Review 5.  HLA allele-specific expression: Methods, disease associations, and relevance in hematopoietic stem cell transplantation.

Authors:  Tiira Johansson; Jukka Partanen; Päivi Saavalainen
Journal:  Front Immunol       Date:  2022-09-28       Impact factor: 8.786

  5 in total

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