Immunoglobulin gene analysis as a tool for investigating human immune responses.
Immunoglobulin gene analysis as a tool for investigating human immune responses.
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DOI：
10.1111/imr.12659
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发表时间：
2018-07
影响因子：
8.7
通讯作者：
Stewart A
中科院分区：
文献类型：
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作者：
Dunn-Walters D;Townsend C;Sinclair E;Stewart A
人类免疫球蛋白库是由基因重排、重链和轻链基因配搭、类转换和体细胞超突变等过程形成的一组非常多样化的序列。早期B细胞发育在B细胞表面产生多种IgM和IgD B细胞受体，从而形成可以结合许多外来抗原的库，但这些抗原已被自身反应性B细胞清除。随后抗原依赖的发育过程通过体细胞超突变调节受体的抗原亲和力。根据所需的功能，通过将抗体的类别从IgM切换到其他七种类别之一，也可以调整抗体的效应机制。在人类生物学中有许多例子，正选择力和负选择力可以作用于形成免疫球蛋白库，因此库分析可以提供有关感染控制、疫苗接种效果、自身免疫性疾病和癌症的有用信息。它也可用于鉴定抗原特异性序列，可能用于治疗。淋巴细胞发育和免疫功能库的数值评估的并列性导致了免疫学中一个新的亚专业的发展，免疫学家和计算机科学家/物理学家合作评估免疫功能库并开发免疫作用模型。
The human immunoglobulin repertoire is a hugely diverse set of sequences that are formed by processes of gene rearrangement, heavy and light chain gene assortment, class switching and somatic hypermutation. Early B cell development produces diverse IgM and IgD B cell receptors on the B cell surface, resulting in a repertoire that can bind many foreign antigens but which has had self‐reactive B cells removed. Later antigen‐dependent development processes adjust the antigen affinity of the receptor by somatic hypermutation. The effector mechanism of the antibody is also adjusted, by switching the class of the antibody from IgM to one of seven other classes depending on the required function. There are many instances in human biology where positive and negative selection forces can act to shape the immunoglobulin repertoire and therefore repertoire analysis can provide useful information on infection control, vaccination efficacy, autoimmune diseases, and cancer. It can also be used to identify antigen‐specific sequences that may be of use in therapeutics. The juxtaposition of lymphocyte development and numerical evaluation of immune repertoires has resulted in the growth of a new sub‐speciality in immunology where immunologists and computer scientists/physicists collaborate to assess immune repertoires and develop models of immune action.
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影响因子：
2.7
作者：
Almagro, Juan Carlos;Raghunathan, Gopalan;Fransson, Johan
通讯作者：
Fransson, Johan
影响因子：
64.5
作者：
BEREK, C;BERGER, A;APEL, M
通讯作者：
APEL, M
影响因子：
4.6
作者：
Apeltsin, Leonard;Wang, Shengzhi;Sirota, Marina
通讯作者：
Sirota, Marina
DOI：
10.1073/pnas.76.7.3416
发表时间：
1979-01-01
影响因子：
11.1
作者：
CROCE, CM;SHANDER, M;KOPROWSKI, H
通讯作者：
KOPROWSKI, H
个体化 V 基因数据库的产生揭示了高水平的免疫球蛋白遗传多样性。
影响因子：
16.6
作者：
通讯作者：
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