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A cellular automata model of early t cell recognition

Publication ,  Journal Article
Casal, A; Sumen, C; Reddy, T; Alber, M; Lee, PP
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2004

T cells are key components of the immune system, recognizing the presence of foreign antigens by coming in direct contact with specialized antigen-presenting cells (APCs) and scanning the array of surface molecules presented by the APC. During the first 60 seconds of contact, thousands of molecules on both cell surfaces interact. Based on these interactions the T cell makes a first crucial decision to either sustain contact, eventually leading to activation, or to disengage and move on. This paper presents a Cellular Automata model to study how a T cell integrates a varied array of positive and negative signals into its first activation decision. Our simulations use available biological data and support the notion that complex behaviors, such as the signal processing function of a cell, can emerge from the varied local interactions of many cellular receptors. © Springer-Verlag 2004.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2004

Volume

3305

Start / End Page

553 / 560

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Casal, A., Sumen, C., Reddy, T., Alber, M., & Lee, P. P. (2004). A cellular automata model of early t cell recognition. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3305, 553–560. https://doi.org/10.1007/978-3-540-30479-1_57
Casal, A., C. Sumen, T. Reddy, M. Alber, and P. P. Lee. “A cellular automata model of early t cell recognition.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3305 (January 1, 2004): 553–60. https://doi.org/10.1007/978-3-540-30479-1_57.
Casal A, Sumen C, Reddy T, Alber M, Lee PP. A cellular automata model of early t cell recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2004 Jan 1;3305:553–60.
Casal, A., et al. “A cellular automata model of early t cell recognition.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3305, Jan. 2004, pp. 553–60. Scopus, doi:10.1007/978-3-540-30479-1_57.
Casal A, Sumen C, Reddy T, Alber M, Lee PP. A cellular automata model of early t cell recognition. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2004 Jan 1;3305:553–560.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

January 1, 2004

Volume

3305

Start / End Page

553 / 560

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences