Memory CD4+ T cell receptor repertoire data mining as a tool for identifying cytomegalovirus serostatus
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| Title: | Memory CD4+ T cell receptor repertoire data mining as a tool for identifying cytomegalovirus serostatus |
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| Authors: | Nicolas De Neuter, Esther Bartholomeus, George Elias, Nina Keersmaekers, Arvid Suls, Hilde Jansens, Evelien Smits, Niel Hens, Philippe Beutels, Pierre Van Damme, Geert Mortier, Viggo Van Tendeloo, Kris Laukens, Pieter Meysman, Benson Ogunjimi |
| Contributors: | Pediatrics |
| Source: | Genes & Immunity. 20:255-260 |
| Publisher Information: | Springer Science and Business Media LLC, 2018. |
| Publication Year: | 2018 |
| Subject Terms: | Adult, CD4-Positive T-Lymphocytes, 0301 basic medicine, 0303 health sciences, Receptors, Antigen, T-Cell/genetics, Serologic Tests/methods, Receptors, Antigen, T-Cell, Data Mining/methods, 3. Good health, 03 medical and health sciences, Cytomegalovirus Infections, CD4-Positive T-Lymphocytes/immunology, Cytomegalovirus Infections/blood, Data Mining, Humans, Serologic Tests, Immunologic Memory |
| Description: | Pathogens of past and current infections have been identified directly by means of PCR or indirectly by measuring a specific immune response (e.g., antibody titration). Using a novel approach, Emerson and colleagues showed that the cytomegalovirus serostatus can also be accurately determined by using a T cell receptor repertoire data mining approach. In this study, we have sequenced the CD4+ memory T cell receptor repertoire of a Belgian cohort with known cytomegalovirus serostatus. A random forest classifier was trained on the CMV specific T cell receptor repertoire signature and used to classify individuals in the Belgian cohort. This study shows that the novel approach can be reliably replicated with an equivalent performance as that reported by Emerson and colleagues. Additionally, it provides evidence that the T cell receptor repertoire signature is to a large extent present in the CD4+ memory repertoire. |
| Document Type: | Article |
| Language: | English |
| ISSN: | 1476-5470 1466-4879 |
| DOI: | 10.1038/s41435-018-0035-y |
| Access URL: | https://repository.uantwerpen.be/docman/irua/13c56c/151704_2018_12_16.pdf https://pubmed.ncbi.nlm.nih.gov/29904098 https://www.nature.com/articles/s41435-018-0035-y https://www.nature.com/articles/s41435-018-0035-y.pdf https://europepmc.org/article/MED/29904098 https://pubmed.ncbi.nlm.nih.gov/29904098/ https://www.ncbi.nlm.nih.gov/pubmed/29904098 https://hdl.handle.net/20.500.14017/62b67f31-de4e-4ebe-af37-2c978636bf5f https://biblio.vub.ac.be/vubir/memory-cd4-t-cell-receptor-repertoire-data-mining-as-a-tool-for-identifying-cytomegalovirus-serostatus(62b67f31-de4e-4ebe-af37-2c978636bf5f).html https://doi.org/10.1038/s41435-018-0035-y |
| Rights: | Springer TDM |
| Accession Number: | edsair.doi.dedup.....9f25cd289d6b9a5a9796a28ea7781ddc |
| Database: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | Pathogens of past and current infections have been identified directly by means of PCR or indirectly by measuring a specific immune response (e.g., antibody titration). Using a novel approach, Emerson and colleagues showed that the cytomegalovirus serostatus can also be accurately determined by using a T cell receptor repertoire data mining approach. In this study, we have sequenced the CD4+ memory T cell receptor repertoire of a Belgian cohort with known cytomegalovirus serostatus. A random forest classifier was trained on the CMV specific T cell receptor repertoire signature and used to classify individuals in the Belgian cohort. This study shows that the novel approach can be reliably replicated with an equivalent performance as that reported by Emerson and colleagues. Additionally, it provides evidence that the T cell receptor repertoire signature is to a large extent present in the CD4+ memory repertoire. |
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| ISSN: | 14765470 14664879 |
| DOI: | 10.1038/s41435-018-0035-y |