Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Proc Natl Acad Sci U S A. 2013 Jan 29;110(5):1839-44. doi: 10.1073/pnas.1222149110. Epub 2013 Jan 14.
Ecology is typically thought of as the study of interactions organisms have with each other and their environment and is focused on the distribution and abundance of organisms both within and between environments. On a molecular level, the capacity to probe analogous questions in the field of T-cell immunology is imperative as we acquire substantial datasets both on epitope-specific T-cell populations through high-resolution analyses of T-cell receptor (TCR) use and on global T-cell populations analyzed via high-throughput DNA sequencing. Here, we present the innovative application of existing statistical measures (used typically in the field of ecology), together with unique statistical analyses, to comprehensively assess how the naïve epitope-specific CD8(+) cytotoxic T lymphocyte (CTL) repertoire translates to that found following an influenza-virus-specific immune response. Such interrogation of our extensive, cumulated TCR CDR3β sequence datasets, derived from both naïve and immune CD8(+) T-cell populations specific for four different influenza-derived epitopes (D(b)NP(366), influenza nucleoprotein amino acid residues 366-374; D(b)PA(224), influenza acid polymerase amino acid residues 224-233; D(b)PB1-F2(62), influenza polymerase B 1 reading frame 2 amino acid residues 62-70; K(b)NS2(114), and influenza nonstructural protein 2 amino acid residues 114-121), demonstrates that epitope-specific TCR use in an antiviral immune response is the consequence of a complex interplay between the intrinsic characteristics of the naïve cytotoxic T lymphocyte precursor pool and extrinsic (likely antigen driven) influences, the contribution of which varies in an epitope-specific fashion.
生态学通常被认为是研究生物体之间及其与环境之间相互作用的学科,其重点是研究环境内和环境间生物体的分布和丰度。在分子水平上,当我们通过高分辨率分析 T 细胞受体 (TCR) 的使用获得大量关于表位特异性 T 细胞群体的数据,以及通过高通量 DNA 测序分析获得大量关于全球 T 细胞群体的数据时,在 T 细胞免疫学领域探究类似问题的能力是至关重要的。在这里,我们提出了现有统计措施(通常用于生态学领域)的创新应用,以及独特的统计分析,以全面评估幼稚表位特异性 CD8(+)细胞毒性 T 淋巴细胞 (CTL) 库如何转化为流感病毒特异性免疫反应后发现的库。通过对我们广泛的、累积的 TCR CDR3β 序列数据集进行这种询问,这些数据集来自针对四个不同流感衍生表位(D(b)NP(366)、流感核蛋白氨基酸残基 366-374;D(b)PA(224)、流感酸聚合酶氨基酸残基 224-233;D(b)PB1-F2(62)、流感聚合酶 B1 阅读框 2 氨基酸残基 62-70;K(b)NS2(114)、流感非结构蛋白 2 氨基酸残基 114-121)的幼稚和免疫 CD8(+) T 细胞群体特异性,证明抗病毒免疫反应中表位特异性 TCR 的使用是幼稚细胞毒性 T 淋巴细胞前体库固有特征与外在(可能是抗原驱动)影响之间复杂相互作用的结果,其贡献以表位特异性的方式变化。