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Validation of a Combined Transcriptome and T Cell Receptor Alpha/Beta (TRA/TRB) Repertoire Assay at the Single Cell Level for Paucicellular Samples
Transcriptomics can be combined with TRA and TRB clonotype analysis at the single cell level. The aim of this study was to validate this approach on the ICELL8 Single-Cell system and to evaluate its usefulness to analyse clinical paucicellular samples. For this purpose, we carefully selected T cell...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500136/ https://www.ncbi.nlm.nih.gov/pubmed/33013853 http://dx.doi.org/10.3389/fimmu.2020.01999 |
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author | Litjens, Nicolle H. R. Langerak, Anton W. van der List, Amy C. J. Klepper, Mariska de Bie, Maaike Azmani, Zakia den Dekker, Alexander T. Brouwer, Rutger W. W. Betjes, Michiel G. H. Van IJcken, Wilfred F. J. |
author_facet | Litjens, Nicolle H. R. Langerak, Anton W. van der List, Amy C. J. Klepper, Mariska de Bie, Maaike Azmani, Zakia den Dekker, Alexander T. Brouwer, Rutger W. W. Betjes, Michiel G. H. Van IJcken, Wilfred F. J. |
author_sort | Litjens, Nicolle H. R. |
collection | PubMed |
description | Transcriptomics can be combined with TRA and TRB clonotype analysis at the single cell level. The aim of this study was to validate this approach on the ICELL8 Single-Cell system and to evaluate its usefulness to analyse clinical paucicellular samples. For this purpose, we carefully selected T cell lines with defined TRA/TRB clonotypes as well as clinical samples enriched for CD3(+) T cells that possess a complex TCR repertoire. Low cell numbers of the different samples were dispensed in a chip on the ICELL8 Single-Cell System. Two sequencing libraries were generated from each single cell cDNA preparation, one for the TRA/TRB repertoire and one for the 5′ ends of transcripts, and subsequently sequenced. Transcriptome analysis revealed that the cell lines on average express 2,268 unique genes/cell and T cells of clinical samples 770 unique genes/cell. The expected combined TRA/TRB clonotype was determined for on average 71% of the cells of the cell lines. In the clinical samples the TRA/TRB repertoire was more complex than those of the cell lines. Furthermore, the TRB clonotype distribution of the clinical samples was positively correlated to frequencies of TCRVβ families in CD3(+) T cells obtained by a flow cytometry-based approach (Spearman's Rho correlation coefficient 0.81, P = 6.49 (*) 10(−7)). Combined analyses showed that transcriptome-based cell type-specific clusters in clinical samples corresponded to clinical features such as CMV status. In conclusion, we showed that the ICELL8 Single-Cell System enabled combined interrogation of both TRA/TRB repertoire and transcriptome of paucicellular clinical samples. This opens the way to study the response of single T cells within heterogeneous samples for both their transcriptome and TRA/TRB clonotypes in disease or upon treatment. |
format | Online Article Text |
id | pubmed-7500136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75001362020-10-02 Validation of a Combined Transcriptome and T Cell Receptor Alpha/Beta (TRA/TRB) Repertoire Assay at the Single Cell Level for Paucicellular Samples Litjens, Nicolle H. R. Langerak, Anton W. van der List, Amy C. J. Klepper, Mariska de Bie, Maaike Azmani, Zakia den Dekker, Alexander T. Brouwer, Rutger W. W. Betjes, Michiel G. H. Van IJcken, Wilfred F. J. Front Immunol Immunology Transcriptomics can be combined with TRA and TRB clonotype analysis at the single cell level. The aim of this study was to validate this approach on the ICELL8 Single-Cell system and to evaluate its usefulness to analyse clinical paucicellular samples. For this purpose, we carefully selected T cell lines with defined TRA/TRB clonotypes as well as clinical samples enriched for CD3(+) T cells that possess a complex TCR repertoire. Low cell numbers of the different samples were dispensed in a chip on the ICELL8 Single-Cell System. Two sequencing libraries were generated from each single cell cDNA preparation, one for the TRA/TRB repertoire and one for the 5′ ends of transcripts, and subsequently sequenced. Transcriptome analysis revealed that the cell lines on average express 2,268 unique genes/cell and T cells of clinical samples 770 unique genes/cell. The expected combined TRA/TRB clonotype was determined for on average 71% of the cells of the cell lines. In the clinical samples the TRA/TRB repertoire was more complex than those of the cell lines. Furthermore, the TRB clonotype distribution of the clinical samples was positively correlated to frequencies of TCRVβ families in CD3(+) T cells obtained by a flow cytometry-based approach (Spearman's Rho correlation coefficient 0.81, P = 6.49 (*) 10(−7)). Combined analyses showed that transcriptome-based cell type-specific clusters in clinical samples corresponded to clinical features such as CMV status. In conclusion, we showed that the ICELL8 Single-Cell System enabled combined interrogation of both TRA/TRB repertoire and transcriptome of paucicellular clinical samples. This opens the way to study the response of single T cells within heterogeneous samples for both their transcriptome and TRA/TRB clonotypes in disease or upon treatment. Frontiers Media S.A. 2020-08-28 /pmc/articles/PMC7500136/ /pubmed/33013853 http://dx.doi.org/10.3389/fimmu.2020.01999 Text en Copyright © 2020 Litjens, Langerak, van der List, Klepper, de Bie, Azmani, den Dekker, Brouwer, Betjes and Van IJcken. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Litjens, Nicolle H. R. Langerak, Anton W. van der List, Amy C. J. Klepper, Mariska de Bie, Maaike Azmani, Zakia den Dekker, Alexander T. Brouwer, Rutger W. W. Betjes, Michiel G. H. Van IJcken, Wilfred F. J. Validation of a Combined Transcriptome and T Cell Receptor Alpha/Beta (TRA/TRB) Repertoire Assay at the Single Cell Level for Paucicellular Samples |
title | Validation of a Combined Transcriptome and T Cell Receptor Alpha/Beta (TRA/TRB) Repertoire Assay at the Single Cell Level for Paucicellular Samples |
title_full | Validation of a Combined Transcriptome and T Cell Receptor Alpha/Beta (TRA/TRB) Repertoire Assay at the Single Cell Level for Paucicellular Samples |
title_fullStr | Validation of a Combined Transcriptome and T Cell Receptor Alpha/Beta (TRA/TRB) Repertoire Assay at the Single Cell Level for Paucicellular Samples |
title_full_unstemmed | Validation of a Combined Transcriptome and T Cell Receptor Alpha/Beta (TRA/TRB) Repertoire Assay at the Single Cell Level for Paucicellular Samples |
title_short | Validation of a Combined Transcriptome and T Cell Receptor Alpha/Beta (TRA/TRB) Repertoire Assay at the Single Cell Level for Paucicellular Samples |
title_sort | validation of a combined transcriptome and t cell receptor alpha/beta (tra/trb) repertoire assay at the single cell level for paucicellular samples |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500136/ https://www.ncbi.nlm.nih.gov/pubmed/33013853 http://dx.doi.org/10.3389/fimmu.2020.01999 |
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