为什么要重新思考调节 TCR 行为的结构-功能关系?

Q4 Medicine
Current Trends in Immunology Pub Date : 2009-01-01
Melvin Cohn
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引用次数: 0

摘要

尽管人们普遍接受的 TCR(标准)模型为大量关键数据的积累提供了动力,但由于其基本原理--等位基因特异性识别 MHC 编码的限制性元件可通过对随机序列的体细胞选择而产生--的失败,该模型仍存在不足。标准模型因这一信条而受到的限制,以及对竞争模型可能的一瞥,使我们对 TCR 的结构-功能关系有了一个令人惊讶的新看法。本文将讨论一个已发表的实验,以说明这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why rethink the structure-function relationships regulating TCR behavior?

Although the generally accepted (Standard) Model of the TCR has powered the accumulation of a large body of crucial data, it is lacking because of the failure of its basic tenet that allele-specific recognition of MHC-encoded restricting elements can be derived by somatic selection on a random repertoire. The limitations of the Standard Model due to this tenet and a glimpse at what a competing model might look like add up to yield a surprising new view of the structure-function relationships of the TCR. A published experiment illustrating this is discussed.

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来源期刊
Current Trends in Immunology
Current Trends in Immunology Medicine-Immunology and Allergy
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and animal/livestock farming. The journal publishes original papers, reviews, and applications notes on topics pertaining to advances in the use of computers or electronics in plant or animal agricultural production, including agricultural soils, water, pests, controlled environments, structures, and wastes, as well as the plants and animals themselves. Post-harvest operations considered part of agriculture (such as drying, storage, logistics, production assessment, trimming and separation of plant and animal material) are also covered. Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics, networking, and simulation modelling.
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