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Overview of methodologies for T-cell receptor repertoire analysis
BACKGROUND: The T-cell receptor (TCR), located on the surface of T cells, is responsible for the recognition of the antigen-major histocompatibility complex, leading to the initiation of an inflammatory response. Analysing the TCR repertoire may help to gain a better understanding of the immune syst...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504616/ https://www.ncbi.nlm.nih.gov/pubmed/28693542 http://dx.doi.org/10.1186/s12896-017-0379-9 |
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author | Rosati, Elisa Dowds, C Marie Liaskou, Evaggelia Henriksen, Eva Kristine Klemsdal Karlsen, Tom H Franke, Andre |
author_facet | Rosati, Elisa Dowds, C Marie Liaskou, Evaggelia Henriksen, Eva Kristine Klemsdal Karlsen, Tom H Franke, Andre |
author_sort | Rosati, Elisa |
collection | PubMed |
description | BACKGROUND: The T-cell receptor (TCR), located on the surface of T cells, is responsible for the recognition of the antigen-major histocompatibility complex, leading to the initiation of an inflammatory response. Analysing the TCR repertoire may help to gain a better understanding of the immune system features and of the aetiology and progression of diseases, in particular those with unknown antigenic triggers. The extreme diversity of the TCR repertoire represents a major analytical challenge; this has led to the development of specialized methods which aim to characterize the TCR repertoire in-depth. Currently, next generation sequencing based technologies are most widely employed for the high-throughput analysis of the immune cell repertoire. RESULTS: Here, we report on the latest methodological advancements in the field by describing and comparing the available tools; from the choice of the starting material and library preparation method, to the sequencing technologies and data analysis. Finally, we provide a practical example and our own experience by reporting some exemplary results from a small internal benchmark study, where current approaches from the literature and the market are employed and compared. CONCLUSIONS: Several valid methods for clonotype identification and TCR repertoire analysis exist, however, a gold standard method for the field has not yet been identified. Depending on the purpose of the scientific study, some approaches may be more suitable than others. Finally, due to possible method specific biases, scientists must be careful when comparing results obtained using different methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12896-017-0379-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5504616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55046162017-07-12 Overview of methodologies for T-cell receptor repertoire analysis Rosati, Elisa Dowds, C Marie Liaskou, Evaggelia Henriksen, Eva Kristine Klemsdal Karlsen, Tom H Franke, Andre BMC Biotechnol Methodology Article BACKGROUND: The T-cell receptor (TCR), located on the surface of T cells, is responsible for the recognition of the antigen-major histocompatibility complex, leading to the initiation of an inflammatory response. Analysing the TCR repertoire may help to gain a better understanding of the immune system features and of the aetiology and progression of diseases, in particular those with unknown antigenic triggers. The extreme diversity of the TCR repertoire represents a major analytical challenge; this has led to the development of specialized methods which aim to characterize the TCR repertoire in-depth. Currently, next generation sequencing based technologies are most widely employed for the high-throughput analysis of the immune cell repertoire. RESULTS: Here, we report on the latest methodological advancements in the field by describing and comparing the available tools; from the choice of the starting material and library preparation method, to the sequencing technologies and data analysis. Finally, we provide a practical example and our own experience by reporting some exemplary results from a small internal benchmark study, where current approaches from the literature and the market are employed and compared. CONCLUSIONS: Several valid methods for clonotype identification and TCR repertoire analysis exist, however, a gold standard method for the field has not yet been identified. Depending on the purpose of the scientific study, some approaches may be more suitable than others. Finally, due to possible method specific biases, scientists must be careful when comparing results obtained using different methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12896-017-0379-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-10 /pmc/articles/PMC5504616/ /pubmed/28693542 http://dx.doi.org/10.1186/s12896-017-0379-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Rosati, Elisa Dowds, C Marie Liaskou, Evaggelia Henriksen, Eva Kristine Klemsdal Karlsen, Tom H Franke, Andre Overview of methodologies for T-cell receptor repertoire analysis |
title | Overview of methodologies for T-cell receptor repertoire analysis |
title_full | Overview of methodologies for T-cell receptor repertoire analysis |
title_fullStr | Overview of methodologies for T-cell receptor repertoire analysis |
title_full_unstemmed | Overview of methodologies for T-cell receptor repertoire analysis |
title_short | Overview of methodologies for T-cell receptor repertoire analysis |
title_sort | overview of methodologies for t-cell receptor repertoire analysis |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5504616/ https://www.ncbi.nlm.nih.gov/pubmed/28693542 http://dx.doi.org/10.1186/s12896-017-0379-9 |
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