The gremlin in the works: why T cell receptor researchers need to pay more attention to germline reference sequences

James M. Heather , Ayelet Peres , Gur Yaari , William Lees
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引用次数: 0

Abstract

The rise of T cell receptor (TCR) sequencing technologies is driving both new understandings of the immune system and the development of novel clinical platforms. Such analyses rely on comparing recombined TCR sequences to unrearranged germline reference sequences during V(D)J annotation. In this study we observed that, despite the importance of this step in TCR analysis, most published studies do not properly report the reference used. We use public datasets to illustrate why references should be explicitly specified: using IMGT/GENE-DB as an example, we document how the reference set changes over time. Furthermore we illustrate how prescriptivist interpretations of reference metadata may be obscuring rather than illuminating TCR biology, and demonstrate the need to perform full V gene sequencing in order to unambiguously determine the final translated TCR polypeptide sequence. In summary, we argue that in order to ensure the accuracy and reproducibility of TCR sequencing – an ever more pressing task as more TCR-based diagnostics and therapeutics are developed – we should all take more care with the development, use, and reporting of the TCR germline references used in our science.

Abstract Image

工作中的小妖精:为什么T细胞受体研究人员需要更多地关注种系参考序列
T细胞受体(TCR)测序技术的兴起正在推动对免疫系统的新理解和新的临床平台的发展。这种分析依赖于在V(D)J注释期间将重组的TCR序列与未重组的种系参考序列进行比较。在本研究中,我们观察到,尽管这一步在TCR分析中很重要,但大多数已发表的研究并未正确报告所使用的参考文献。我们使用公共数据集来说明为什么应该明确指定引用:以IMGT/GENE-DB为例,我们记录了引用集如何随时间变化。此外,我们说明了参考元数据的规范解释如何模糊而不是阐明TCR生物学,并证明需要执行全V基因测序,以便明确确定最终翻译的TCR多肽序列。总之,我们认为,为了确保TCR测序的准确性和可重复性——随着越来越多基于TCR的诊断和治疗方法的开发,这是一项越来越紧迫的任务——我们都应该更加注意在我们的科学中使用的TCR生殖系参考文献的开发、使用和报告。
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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来源期刊
Immunoinformatics (Amsterdam, Netherlands)
Immunoinformatics (Amsterdam, Netherlands) Immunology, Computer Science Applications
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