Tereshchenko Valeriy, Shevyrev Daniil, Fisher Marina, Bulygin Aleksei, Khantakova Julia, Sennikov Sergey
Laboratory of Molecular Immunology, Research Institute of Fundamental and Clinical Immunology, 630099 Novosibirsk, Russia.
Resource Center for Cellular Technologies and Immunology, Sirius University of Science and Technology, 354340 Sochi, Russia.
Int J Mol Sci. 2023 Jul 28;24(15):12075. doi: 10.3390/ijms241512075.
Allorecognition is known to involve a large number of lymphocytes carrying diverse T-cell receptor repertoire. Thus, one way to understand allorecognition and rejection mechanisms is via high-throughput sequencing of T-cell receptors. In this study, in order to explore and systematize the properties of the alloreactive T-cell receptor repertoire, we modeled direct and indirect allorecognition pathways using material from inbred mice in vitro and in vivo. Decoding of the obtained T-cell receptor genes using high-throughput sequencing revealed some features of the alloreactive repertoires. Thus, alloreactive T-cell receptor repertoires were characterized by specific V-gene usage patterns, changes in CDR3 loop length, and some amino acid occurrence probabilities in the CDR3 loop. Particularly pronounced changes were observed for directly alloreactive clonotypes. We also revealed a clustering of directly and indirectly alloreactive clonotypes by their ability to bind a single antigen; amino acid patterns of the CDR3 loop of alloreactive clonotypes; and the presence in alloreactive repertoires of clonotypes also associated with infectious, autoimmune, and tumor diseases. The obtained results were determined by the modeling of the simplified allorecognition reaction in inbred mice in which stimulation was performed with a single MHCII molecule. We suppose that the decomposition of the diverse alloreactive TCR repertoire observed in humans with transplants into such simple reactions will help to find alloreactive repertoire features; e.g., a dominant clonotype or V-gene usage pattern, which may be targeted to correct the entire rejection reaction in patients. In this work, we propose several technical ways for such decomposition analysis, including separate modeling of the indirect alloreaction pathway and clustering of alloreactive clonotypes according to their ability to bind a single antigen, among others.
已知同种异体识别涉及大量携带不同T细胞受体库的淋巴细胞。因此,了解同种异体识别和排斥机制的一种方法是通过对T细胞受体进行高通量测序。在本研究中,为了探索和系统化同种异体反应性T细胞受体库的特性,我们利用近交系小鼠的材料在体外和体内对直接和间接同种异体识别途径进行了建模。使用高通量测序对获得的T细胞受体基因进行解码,揭示了同种异体反应性库的一些特征。因此,同种异体反应性T细胞受体库的特征在于特定的V基因使用模式、CDR3环长度的变化以及CDR3环中一些氨基酸出现的概率。对于直接同种异体反应性克隆型,观察到了特别明显的变化。我们还通过它们结合单一抗原的能力、同种异体反应性克隆型CDR3环的氨基酸模式以及同种异体反应性库中与感染性、自身免疫性和肿瘤疾病相关的克隆型的存在,揭示了直接和间接同种异体反应性克隆型的聚类。所获得的结果是通过对近交系小鼠中简化的同种异体识别反应进行建模而确定的,其中用单个MHCII分子进行刺激。我们认为,将移植患者中观察到的多样化同种异体反应性TCR库分解为这种简单反应,将有助于找到同种异体反应性库的特征;例如,可能靶向纠正患者整个排斥反应的优势克隆型或V基因使用模式。在这项工作中,我们提出了几种进行这种分解分析的技术方法,包括间接同种异体反应途径的单独建模以及根据同种异体反应性克隆型结合单一抗原的能力进行聚类等。