Literature DB >> 12682227

A fractal clonotype distribution in the CD8+ memory T cell repertoire could optimize potential for immune responses.

Yuri N Naumov1, Elena N Naumova, Kevin T Hogan, Liisa K Selin, Jack Gorski.   

Abstract

The nature of CD8(+) T cell memory is still incompletely understood. We have previously reported that the response to an HLA-A2-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 approximately 1.6. 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.

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Year:  2003        PMID: 12682227     DOI: 10.4049/jimmunol.170.8.3994

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  39 in total

Review 1.  Heterologous immunity between viruses.

Authors:  Raymond M Welsh; Jenny W Che; Michael A Brehm; Liisa K Selin
Journal:  Immunol Rev       Date:  2010-05       Impact factor: 12.988

2.  The polyclonal CD8 T cell response to influenza M158-66 generates a fully connected network of cross-reactive clonotypes to structurally related peptides: a paradigm for memory repertoire coverage of novel epitopes or escape mutants.

Authors:  Galina V Petrova; Elena N Naumova; Jack Gorski
Journal:  J Immunol       Date:  2011-04-25       Impact factor: 5.422

3.  Simulation studies for a multistage dynamic process of immune memory response to influenza: experiment in silico.

Authors:  Elena N Naumova; Jack Gorski; Yuri N Naumov
Journal:  Ann Zool Fennici       Date:  2008-01-01       Impact factor: 1.324

4.  Narrowed TCR repertoire and viral escape as a consequence of heterologous immunity.

Authors:  Markus Cornberg; Alex T Chen; Lee A Wilkinson; Michael A Brehm; Sung-Kwon Kim; Claudia Calcagno; Dario Ghersi; Roberto Puzone; Franco Celada; Raymond M Welsh; Liisa K Selin
Journal:  J Clin Invest       Date:  2006-04-13       Impact factor: 14.808

Review 5.  The two faces of heterologous immunity: protection or immunopathology.

Authors:  Shalini Sharma; Paul G Thomas
Journal:  J Leukoc Biol       Date:  2013-11-08       Impact factor: 4.962

6.  Broad cross-reactive TCR repertoires recognizing dissimilar Epstein-Barr and influenza A virus epitopes.

Authors:  Shalyn C Clute; Yuri N Naumov; Levi B Watkin; Nuray Aslan; John L Sullivan; David A Thorley-Lawson; Katherine Luzuriaga; Raymond M Welsh; Roberto Puzone; Franco Celada; Liisa K Selin
Journal:  J Immunol       Date:  2010-11-03       Impact factor: 5.422

7.  Cross-reactive influenza virus-specific CD8+ T cells contribute to lymphoproliferation in Epstein-Barr virus-associated infectious mononucleosis.

Authors:  Shalyn C Clute; Levi B Watkin; Markus Cornberg; Yuri N Naumov; John L Sullivan; Katherine Luzuriaga; Raymond M Welsh; Liisa K Selin
Journal:  J Clin Invest       Date:  2005-11-23       Impact factor: 14.808

8.  Visual analytics for immunologists: Data compression and fractal distributions.

Authors:  Elena N Naumova
Journal:  Self Nonself       Date:  2010-06-30

9.  Diversification of memory B cells drives the continuous adaptation of secretory antibodies to gut microbiota.

Authors:  Cornelia Lindner; Irene Thomsen; Benjamin Wahl; Milas Ugur; Maya K Sethi; Michaela Friedrichsen; Anna Smoczek; Stephan Ott; Ulrich Baumann; Sebastian Suerbaum; Stefan Schreiber; André Bleich; Valérie Gaboriau-Routhiau; Nadine Cerf-Bensussan; Helena Hazanov; Ramit Mehr; Preben Boysen; Philip Rosenstiel; Oliver Pabst
Journal:  Nat Immunol       Date:  2015-06-29       Impact factor: 25.606

10.  Multiple glycines in TCR alpha-chains determine clonally diverse nature of human T cell memory to influenza A virus.

Authors:  Yuri N Naumov; Elena N Naumova; Maryam B Yassai; Kalyani Kota; Raymond M Welsh; Liisa K Selin
Journal:  J Immunol       Date:  2008-11-15       Impact factor: 5.422

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