Immunosequencing identifies signatures of cytomegalovirus exposure history and HLA-mediated effects on the T cell repertoire
Ryan Emerson and colleagues report immunosequencing of the variable region of the TCRβ chain in 666 individuals with known cytomegalovirus (CMV) status. They show that CMV status and HLA genotype shape the T cell repertoire and demonstrate proof of principle that TCRβ sequencing can be used as a spe...
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Published in | Nature genetics Vol. 49; no. 5; pp. 659 - 665 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.05.2017
Nature Publishing Group |
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Abstract | Ryan Emerson and colleagues report immunosequencing of the variable region of the TCRβ chain in 666 individuals with known cytomegalovirus (CMV) status. They show that CMV status and HLA genotype shape the T cell repertoire and demonstrate proof of principle that TCRβ sequencing can be used as a specific diagnostic of pathogen exposure.
An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by documenting public T cell receptors (TCRs), we profiled the T cell repertoire of 666 subjects with known cytomegalovirus (CMV) serostatus by immunosequencing. We developed a statistical classification framework that could diagnose CMV status from the resulting catalog of TCRβ sequences with high specificity and sensitivity in both the original cohort and a validation cohort of 120 different subjects. We also confirmed that three of the identified CMV-associated TCRβ molecules bind CMV
in vitro
, and, moreover, we used this approach to accurately predict the
HLA-A
and
HLA-B
alleles of most subjects in the first cohort. As all memory T cell responses are encoded in the common format of somatic TCR recombination, our approach could potentially be generalized to a wide variety of disease states, as well as other immunological phenotypes, as a highly parallelizable diagnostic strategy. |
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AbstractList | An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by documenting public T cell receptors (TCRs), we profiled the T cell repertoire of 666 subjects with known cytomegalovirus (CMV) serostatus by immunosequencing. We developed a statistical classification framework that could diagnose CMV status from the resulting catalog of TCRβ sequences with high specificity and sensitivity in both the original cohort and a validation cohort of 120 different subjects. We also confirmed that three of the identified CMV-associated TCRβ molecules bind CMV in vitro, and, moreover, we used this approach to accurately predict the HLA-A and HLA-B alleles of most subjects in the first cohort. As all memory T cell responses are encoded in the common format of somatic TCR recombination, our approach could potentially be generalized to a wide variety of disease states, as well as other immunological phenotypes, as a highly parallelizable diagnostic strategy.An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by documenting public T cell receptors (TCRs), we profiled the T cell repertoire of 666 subjects with known cytomegalovirus (CMV) serostatus by immunosequencing. We developed a statistical classification framework that could diagnose CMV status from the resulting catalog of TCRβ sequences with high specificity and sensitivity in both the original cohort and a validation cohort of 120 different subjects. We also confirmed that three of the identified CMV-associated TCRβ molecules bind CMV in vitro, and, moreover, we used this approach to accurately predict the HLA-A and HLA-B alleles of most subjects in the first cohort. As all memory T cell responses are encoded in the common format of somatic TCR recombination, our approach could potentially be generalized to a wide variety of disease states, as well as other immunological phenotypes, as a highly parallelizable diagnostic strategy. An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by documenting public T cell receptors (TCRs), we profiled the T cell repertoire of 666 subjects with known cytomegalovirus (CMV) serostatus by immunosequencing. We developed a statistical classification framework that could diagnose CMV status from the resulting catalog of TCRβ sequences with high specificity and sensitivity in both the original cohort and a validation cohort of 120 different subjects. We also confirmed that three of the identified CMV-associated TCRβ molecules bind CMV in vitro, and, moreover, we used this approach to accurately predict the HLA-A and HLA-B alleles of most subjects in the first cohort. As all memory T cell responses are encoded in the common format of somatic TCR recombination, our approach could potentially be generalized to a wide variety of disease states, as well as other immunological phenotypes, as a highly parallelizable diagnostic strategy. Ryan Emerson and colleagues report immunosequencing of the variable region of the TCRβ chain in 666 individuals with known cytomegalovirus (CMV) status. They show that CMV status and HLA genotype shape the T cell repertoire and demonstrate proof of principle that TCRβ sequencing can be used as a specific diagnostic of pathogen exposure. An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by documenting public T cell receptors (TCRs), we profiled the T cell repertoire of 666 subjects with known cytomegalovirus (CMV) serostatus by immunosequencing. We developed a statistical classification framework that could diagnose CMV status from the resulting catalog of TCRβ sequences with high specificity and sensitivity in both the original cohort and a validation cohort of 120 different subjects. We also confirmed that three of the identified CMV-associated TCRβ molecules bind CMV in vitro , and, moreover, we used this approach to accurately predict the HLA-A and HLA-B alleles of most subjects in the first cohort. As all memory T cell responses are encoded in the common format of somatic TCR recombination, our approach could potentially be generalized to a wide variety of disease states, as well as other immunological phenotypes, as a highly parallelizable diagnostic strategy. An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by documenting public T cell receptors (TCRs), we profiled the T cell repertoire of 666 subjects with known cytomegalovirus (CMV) serostatus by immunosequencing. We developed a statistical classification framework that could diagnose CMV status from the resulting catalog of TCRb sequences with high specificity and sensitivity in both the original cohort and a validation cohort of 120 different subjects. We also confirmed that three of the identified CMV-associated TCRb molecules bind CMV in vitro, and, moreover, we used this approach to accurately predict the HLA-A and HLA-B alleles of most subjects in the first cohort. As all memory T cell responses are encoded in the common format of somatic TCR recombination, our approach could potentially be generalized to a wide variety of disease states, as well as other immunological phenotypes, as a highly parallelizable diagnostic strategy. |
Author | Hansen, John A DeWitt, William S Vignali, Marissa Desmarais, Cindy Rieder, Mark Robins, Harlan S Hu, Joyce K Gravley, Jenna Klinger, Mark Carlson, Christopher S Emerson, Ryan O Osborne, Edward J |
Author_xml | – sequence: 1 givenname: Ryan O surname: Emerson fullname: Emerson, Ryan O email: remerson@adaptivebiotech.com organization: Adaptive Biotechnologies – sequence: 2 givenname: William S orcidid: 0000-0002-6802-9139 surname: DeWitt fullname: DeWitt, William S organization: Adaptive Biotechnologies, Computational Biology Program, Fred Hutchinson Cancer Research Center – sequence: 3 givenname: Marissa surname: Vignali fullname: Vignali, Marissa organization: Adaptive Biotechnologies – sequence: 4 givenname: Jenna surname: Gravley fullname: Gravley, Jenna organization: Fred Hutchinson Cancer Research Center – sequence: 5 givenname: Joyce K surname: Hu fullname: Hu, Joyce K organization: Adaptive Biotechnologies – sequence: 6 givenname: Edward J surname: Osborne fullname: Osborne, Edward J organization: Adaptive Biotechnologies – sequence: 7 givenname: Cindy surname: Desmarais fullname: Desmarais, Cindy organization: Adaptive Biotechnologies – sequence: 8 givenname: Mark surname: Klinger fullname: Klinger, Mark organization: Adaptive Biotechnologies – sequence: 9 givenname: Christopher S surname: Carlson fullname: Carlson, Christopher S organization: Fred Hutchinson Cancer Research Center – sequence: 10 givenname: John A surname: Hansen fullname: Hansen, John A organization: Fred Hutchinson Cancer Research Center – sequence: 11 givenname: Mark surname: Rieder fullname: Rieder, Mark organization: Adaptive Biotechnologies – sequence: 12 givenname: Harlan S surname: Robins fullname: Robins, Harlan S organization: Adaptive Biotechnologies, Computational Biology Program, Fred Hutchinson Cancer Research Center |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28369038$$D View this record in MEDLINE/PubMed |
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Snippet | Ryan Emerson and colleagues report immunosequencing of the variable region of the TCRβ chain in 666 individuals with known cytomegalovirus (CMV) status. They... An individual's T cell repertoire dynamically encodes their pathogen exposure history. To determine whether pathogen exposure signatures can be identified by... |
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SubjectTerms | 45 45/23 631/114 631/208/248 631/208/514/1948 631/250 Agriculture Algorithms Animal Genetics and Genomics Antigens Biomedicine Cancer Research Coding Cohort Studies Cytomegalovirus Cytomegalovirus - genetics Cytomegalovirus - immunology Cytomegalovirus - physiology Cytotoxicity Diagnostic systems Epitopes, T-Lymphocyte - genetics Epitopes, T-Lymphocyte - immunology Exposure Gene Function High-Throughput Nucleotide Sequencing - methods Histocompatibility Testing - methods HLA Antigens - genetics HLA Antigens - immunology HLA-A Antigens - genetics HLA-A Antigens - immunology HLA-B Antigens - genetics HLA-B Antigens - immunology Host-Pathogen Interactions - immunology Human Genetics Humans Immunology In vitro methods and tests Infections Lymphocytes Lymphocytes T Medical research Models, Immunological Pathogens Receptors Receptors, Antigen, T-Cell - genetics Receptors, Antigen, T-Cell - immunology Reproducibility of Results Signatures T cell receptors T-Lymphocytes - immunology T-Lymphocytes - metabolism T-Lymphocytes - virology Viral infections |
Title | Immunosequencing identifies signatures of cytomegalovirus exposure history and HLA-mediated effects on the T cell repertoire |
URI | https://link.springer.com/article/10.1038/ng.3822 https://www.ncbi.nlm.nih.gov/pubmed/28369038 https://www.proquest.com/docview/1894954845 https://www.proquest.com/docview/1884166002 |
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