{"title":"为什么要重新思考调节 TCR 行为的结构-功能关系?","authors":"Melvin Cohn","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":34989,"journal":{"name":"Current Trends in Immunology","volume":"10 ","pages":"105-111"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3345953/pdf/nihms241699.pdf","citationCount":"0","resultStr":"{\"title\":\"Why rethink the structure-function relationships regulating TCR behavior?\",\"authors\":\"Melvin Cohn\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":34989,\"journal\":{\"name\":\"Current Trends in Immunology\",\"volume\":\"10 \",\"pages\":\"105-111\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3345953/pdf/nihms241699.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Trends in Immunology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Trends in Immunology","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
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.
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.