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Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses

Assays linking cellular phenotypes with T cell or B cell antigen receptor sequences are crucial for characterizing adaptive immune responses. Existing methodologies are limited by low sample throughput and high cost. Here, we present INtraCEllular Reverse Transcription with Sorting and sequencing (I...

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Autores principales: Jayaraman, Sahana, Montagne, Janelle M., Nirschl, Thomas R., Marcisak, Emily, Johnson, Jeanette, Huff, Amanda, Hsiao, Meng-Hsuan, Nauroth, Julie, Heumann, Thatcher, Zarif, Jelani C., Jaffee, Elizabeth M., Azad, Nilo, Fertig, Elana J., Zaidi, Neeha, Larman, H. Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626196/
https://www.ncbi.nlm.nih.gov/pubmed/37776855
http://dx.doi.org/10.1016/j.crmeth.2023.100600
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author Jayaraman, Sahana
Montagne, Janelle M.
Nirschl, Thomas R.
Marcisak, Emily
Johnson, Jeanette
Huff, Amanda
Hsiao, Meng-Hsuan
Nauroth, Julie
Heumann, Thatcher
Zarif, Jelani C.
Jaffee, Elizabeth M.
Azad, Nilo
Fertig, Elana J.
Zaidi, Neeha
Larman, H. Benjamin
author_facet Jayaraman, Sahana
Montagne, Janelle M.
Nirschl, Thomas R.
Marcisak, Emily
Johnson, Jeanette
Huff, Amanda
Hsiao, Meng-Hsuan
Nauroth, Julie
Heumann, Thatcher
Zarif, Jelani C.
Jaffee, Elizabeth M.
Azad, Nilo
Fertig, Elana J.
Zaidi, Neeha
Larman, H. Benjamin
author_sort Jayaraman, Sahana
collection PubMed
description Assays linking cellular phenotypes with T cell or B cell antigen receptor sequences are crucial for characterizing adaptive immune responses. Existing methodologies are limited by low sample throughput and high cost. Here, we present INtraCEllular Reverse Transcription with Sorting and sequencing (INCERTS), an approach that combines molecular indexing of receptor repertoires within intact cells and fluorescence-activated cell sorting (FACS). We demonstrate that INCERTS enables efficient processing of millions of cells from pooled human peripheral blood mononuclear cell (PBMC) samples while retaining robust association between T cell receptor (TCR) sequences and cellular phenotypes. We used INCERTS to discover antigen-specific TCRs from patients with cancer immunized with a novel mutant KRAS peptide vaccine. After ex vivo stimulation, 28 uniquely barcoded samples were pooled prior to FACS into peptide-reactive and non-reactive CD4(+) and CD8(+) populations. Combining complementary patient-matched single-cell RNA sequencing (scRNA-seq) data enabled retrieval of full-length, paired TCR alpha and beta chain sequences for future validation of therapeutic utility.
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spelling pubmed-106261962023-11-07 Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses Jayaraman, Sahana Montagne, Janelle M. Nirschl, Thomas R. Marcisak, Emily Johnson, Jeanette Huff, Amanda Hsiao, Meng-Hsuan Nauroth, Julie Heumann, Thatcher Zarif, Jelani C. Jaffee, Elizabeth M. Azad, Nilo Fertig, Elana J. Zaidi, Neeha Larman, H. Benjamin Cell Rep Methods Report Assays linking cellular phenotypes with T cell or B cell antigen receptor sequences are crucial for characterizing adaptive immune responses. Existing methodologies are limited by low sample throughput and high cost. Here, we present INtraCEllular Reverse Transcription with Sorting and sequencing (INCERTS), an approach that combines molecular indexing of receptor repertoires within intact cells and fluorescence-activated cell sorting (FACS). We demonstrate that INCERTS enables efficient processing of millions of cells from pooled human peripheral blood mononuclear cell (PBMC) samples while retaining robust association between T cell receptor (TCR) sequences and cellular phenotypes. We used INCERTS to discover antigen-specific TCRs from patients with cancer immunized with a novel mutant KRAS peptide vaccine. After ex vivo stimulation, 28 uniquely barcoded samples were pooled prior to FACS into peptide-reactive and non-reactive CD4(+) and CD8(+) populations. Combining complementary patient-matched single-cell RNA sequencing (scRNA-seq) data enabled retrieval of full-length, paired TCR alpha and beta chain sequences for future validation of therapeutic utility. Elsevier 2023-09-29 /pmc/articles/PMC10626196/ /pubmed/37776855 http://dx.doi.org/10.1016/j.crmeth.2023.100600 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Report
Jayaraman, Sahana
Montagne, Janelle M.
Nirschl, Thomas R.
Marcisak, Emily
Johnson, Jeanette
Huff, Amanda
Hsiao, Meng-Hsuan
Nauroth, Julie
Heumann, Thatcher
Zarif, Jelani C.
Jaffee, Elizabeth M.
Azad, Nilo
Fertig, Elana J.
Zaidi, Neeha
Larman, H. Benjamin
Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses
title Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses
title_full Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses
title_fullStr Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses
title_full_unstemmed Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses
title_short Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses
title_sort barcoding intracellular reverse transcription enables high-throughput phenotype-coupled t cell receptor analyses
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626196/
https://www.ncbi.nlm.nih.gov/pubmed/37776855
http://dx.doi.org/10.1016/j.crmeth.2023.100600
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