2021
DOI: 10.3389/fimmu.2021.689091
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Single-Cell TCR and Transcriptome Analysis: An Indispensable Tool for Studying T-Cell Biology and Cancer Immunotherapy

Abstract: T cells have been known to be the driving force for immune response and cancer immunotherapy. Recent advances on single-cell sequencing techniques have empowered scientists to discover new biology at the single-cell level. Here, we review the single-cell techniques used for T-cell studies, including T-cell receptor (TCR) and transcriptome analysis. In addition, we summarize the approaches used for the identification of T-cell neoantigens, an important aspect for T-cell mediated cancer immunotherapy. More impor… Show more

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Cited by 20 publications
(15 citation statements)
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References 125 publications
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“…Current high-throughput sequencing techniques that use genomic DNA (gDNA) or RNA as starting materials to construct a TCR repertoire have advantages and limitations, and the optimal choice depends on the study of interest ( Figure 2A ). Approaches based on gDNA employ multiplex amplification, a set of forward PCR primers complementary to all possible V segments and a set of reverse primers complementary to the J segments ( 98 , 99 ). gDNA is stable, and there is only one copy of single gDNA in each cell to encode TCR.…”
Section: High-throughput Technology Revolutionized Methods For Measuring Alloresponsementioning
confidence: 99%
“…Current high-throughput sequencing techniques that use genomic DNA (gDNA) or RNA as starting materials to construct a TCR repertoire have advantages and limitations, and the optimal choice depends on the study of interest ( Figure 2A ). Approaches based on gDNA employ multiplex amplification, a set of forward PCR primers complementary to all possible V segments and a set of reverse primers complementary to the J segments ( 98 , 99 ). gDNA is stable, and there is only one copy of single gDNA in each cell to encode TCR.…”
Section: High-throughput Technology Revolutionized Methods For Measuring Alloresponsementioning
confidence: 99%
“…This allows to identify whether certain sequences were originally present at high abundance—identical sequences with different UMIs—or the same sequence is highly abundant because it was preferentially amplified by the PCR—equal sequences with the same UMI. Recent advances in TCR repertoire analysis now allow to combine single-cell TCR sequencing with transcriptomics analysis [ 24 , 25 , 26 , 27 ]. This has been specially interesting to link signatures of tumour-reactive T cells with their TCRs, although usually the aim of using these technologies is not to analyse diversity but to describe tumour-specific TCRs [ 28 ].…”
Section: T Cell Receptormentioning
confidence: 99%
“…Even further improved, spatial transcriptomics, developed by Stahl PL et al [ 29 ], now allows to perform a transcriptomic analysis in situ, with the aim to retain the cellular location information. There are still few cancer studies in which the TCR analysis and spatial transcriptomics are combined [ 26 , 30 , 31 , 32 ], but it will likely be increasingly used in the future.…”
Section: T Cell Receptormentioning
confidence: 99%
“…Cancer is derived from a series of genetic alterations that occur in normal cells that are transformed into malignant cells [ 141 ], capable of invading the surrounding normal tissue and generating metastasis.…”
Section: Tcr and Cancermentioning
confidence: 99%