A fractal clonotype distribution in the CD8+ memory T cell repertoire could optimize potential for immune responses
A fractal clonotype distribution in the CD8+ memory T cell repertoire could optimize potential for immune responses
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DOI:
10.4049/jimmunol.170.8.3994
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发表时间:
2003-04-15
影响因子:
4.4
通讯作者:
Gorski, J
中科院分区:
文献类型:
--
作者:
Naumov, YN;Naumova, EN;Gorski, J
The nature of CD8(+) T cell memory is still incompletely understood. We have previously reported that the response to an HLA-42-restricted influenza-derived peptide results in a complex T cell repertoire. In this study we extend this analysis and describe the repertoire with more rigor. In one individual we defined 141 distinct T cell clonotypes on the basis of the unique DNA sequence of the third complementarity-determining region of the TCR beta-chain. The frequency distribution of the clonotypes; is not what is expected of a normal distribution but is characterized by a large low-frequency tail. The existence of a complex population indicates a mechanism for maintaining a large number of Ag-specific clonotypes at a low frequency in the memory pool. Ranking the clonotypes allowed us to describe the population in terms of a power law-like distribution with a parameter of decay of similar to1.6. If the repertoire is divided into subsets, such as clonotypes that use BJ2.7 or those whose third complementarity-determining region encodes the amino acid sequence IRSS, the clonotype frequencies could also be described by a power law-like distribution. This indicates a self similarity to the repertoire in which smaller pieces are slightly altered copies of the larger piece. The power law-like description is stable with time and was observed in a second individual. The distribution of clonotypes in the repertoire could be mapped onto a polygonal spiral using a recursive algorithm. Self similarity, power laws, and recursive mapping algorithms are associated with fractal systems. Thus, Ag-specific memory CD8 T cell repertoires can be considered as fractal, which could indicate optimized flexibility and robustness.