天然配对人T细胞受体库的永生化和功能筛选。

IF 2.6 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Protein Engineering Design & Selection Pub Date : 2022-02-17 DOI:10.1093/protein/gzab034
Ahmed S Fahad, Cheng-Yu Chung, Sheila N Lopez Acevedo, Nicoleen Boyle, Bharat Madan, Matias F Gutiérrez-González, Rodrigo Matus-Nicodemos, Amy D Laflin, Rukmini R Ladi, John Zhou, Jacy Wolfe, Sian Llewellyn-Lacey, Richard A Koup, Daniel C Douek, Henry H Balfour, David A Price, Brandon J DeKosky
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引用次数: 0

摘要

对T细胞受体(TCR)景观的功能分析可以揭示有关对疾病的保护和对疫苗的分子反应的关键信息。然而,事实证明,很难将先进的下一代测序技术与解码单个TCR的肽主要组织相容性复合体(pMHC)特异性的方法相结合。我们开发了一种新的高通量方法,以实现对本地配对TCR的曲目规模功能评估。特别是,我们利用物理连接的TCRα:β扩增子文库的永生特性,在库规模上分析针对多个重组pMHC的结合,为了证明这种方法的实用性,我们还结合下一代定量测序进行了基于亲和力的功能定位,以跟踪抗原特异性TCR。这些数据成功验证了一个新的永生化和筛选平台,以促进疾病相关抗原与人类TCR相互作用的详细分子分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Immortalization and functional screening of natively paired human T cell receptor repertoires.

Functional analyses of the T cell receptor (TCR) landscape can reveal critical information about protection from disease and molecular responses to vaccines. However, it has proven difficult to combine advanced next-generation sequencing technologies with methods to decode the peptide-major histocompatibility complex (pMHC) specificity of individual TCRs. We developed a new high-throughput approach to enable repertoire-scale functional evaluations of natively paired TCRs. In particular, we leveraged the immortalized nature of physically linked TCRα:β amplicon libraries to analyze binding against multiple recombinant pMHCs on a repertoire scale, and to exemplify the utility of this approach, we also performed affinity-based functional mapping in conjunction with quantitative next-generation sequencing to track antigen-specific TCRs. These data successfully validated a new immortalization and screening platform to facilitate detailed molecular analyses of disease-relevant antigen interactions with human TCRs.

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来源期刊
Protein Engineering Design & Selection
Protein Engineering Design & Selection 生物-生化与分子生物学
CiteScore
3.30
自引率
4.20%
发文量
14
审稿时长
6-12 weeks
期刊介绍: Protein Engineering, Design and Selection (PEDS) publishes high-quality research papers and review articles relevant to the engineering, design and selection of proteins for use in biotechnology and therapy, and for understanding the fundamental link between protein sequence, structure, dynamics, function, and evolution.
期刊最新文献
TIMED-Design: flexible and accessible protein sequence design with convolutional neural networks. Correction to: De novo design of a polycarbonate hydrolase. Interactive computational and experimental approaches improve the sensitivity of periplasmic binding protein-based nicotine biosensors for measurements in biofluids. Design of functional intrinsically disordered proteins. The shortest path method (SPM) webserver for computational enzyme design.
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