Hemmer B, Pinilla C, Appel J, Pascal J, Houghten R, Martin R
Immunology Section, Neuroimmunology Branch, NINDS, National Institutes of Health, Bethesda, Maryland 20892, USA.
J Pept Res. 1998 Nov;52(5):338-45. doi: 10.1111/j.1399-3011.1998.tb00658.x.
T cells identify by their T-cell receptor (TCR) short peptides in the context of major histocompatibility complex (MHC) molecules. The interaction of the trimolecular complex composed of the TCR and MHC bound peptide was extensively studied using substitution analogs of the original peptide ligands to define those residues important for T-cell recognition in the peptide chain. This approach has led to the observation that T-cell recognition is highly flexible and that many different peptides can be recognized by an individual TCR. Others and we have recently introduced synthetic peptide combinatorial libraries (SCL) to investigate T-cell recognition. Here we review the SCL-based approaches and describe our current techniques for mapping TCR motifs for CD4+ T cells. The implications of our findings for the understanding of T-cell recognition, as well as for future applications to study T-cell responses in infectious diseases, autoimmune disorders and cancer are discussed.
T细胞通过其T细胞受体（TCR）在主要组织相容性复合体（MHC）分子的背景下识别短肽。利用原始肽配体的替代类似物对由TCR和MHC结合肽组成的三分子复合物的相互作用进行了广泛研究，以确定肽链中对T细胞识别重要的那些残基。这种方法导致了这样的观察结果，即T细胞识别具有高度灵活性，并且单个TCR可以识别许多不同的肽。我们和其他人最近引入了合成肽组合文库（SCL）来研究T细胞识别。在这里，我们回顾基于SCL的方法，并描述我们目前用于绘制CD4 + T细胞TCR基序的技术。讨论了我们的发现对理解T细胞识别以及对研究传染病、自身免疫性疾病和癌症中T细胞反应的未来应用的意义。
