The value of inflammatory signals in adaptive immune responses

Soumya Banerjee, Drew Levin, Melanie Moses, Frederick Koster, Stephanie Forrest

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Cells of the immune system search among billions of healthy cells to find and neutralize a small number of infected cells before pathogens replicate to sufficient numbers to cause disease or death. The immune system uses information signals to accomplish this search quickly. Ordinary differential equations and spatially explicit agent-based models are used to quantify how capillary inflammation decreases the time it takes for cytotoxic T lymphocytes to find and kill infected cells. We find that the inflammation signal localized in a small region of infected tissue dramatically reduces search times, suggesting that these signals play an important role in the immune response, especially in larger animals.

Original languageEnglish (US)
Title of host publicationArtificial Immune Systems - 10th International Conference, ICARIS 2011, Proceedings
Pages1-14
Number of pages14
DOIs
StatePublished - Jul 20 2011
Externally publishedYes
Event10th International Conference on Artificial Immune Systems, ICARIS 2011 - Cambridge, United Kingdom
Duration: Jul 18 2011Jul 21 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6825 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Artificial Immune Systems, ICARIS 2011
CountryUnited Kingdom
CityCambridge
Period7/18/117/21/11

Fingerprint

Immune system
Immune Response
Inflammation
T-cells
Information use
Cell
Immune System
Pathogens
Ordinary differential equations
Animals
Cells
Tissue
T Lymphocytes
Agent-based Model
Ordinary differential equation
Quantify
Sufficient
Decrease

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Banerjee, S., Levin, D., Moses, M., Koster, F., & Forrest, S. (2011). The value of inflammatory signals in adaptive immune responses. In Artificial Immune Systems - 10th International Conference, ICARIS 2011, Proceedings (pp. 1-14). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6825 LNCS). https://doi.org/10.1007/978-3-642-22371-6_1

The value of inflammatory signals in adaptive immune responses. / Banerjee, Soumya; Levin, Drew; Moses, Melanie; Koster, Frederick; Forrest, Stephanie.

Artificial Immune Systems - 10th International Conference, ICARIS 2011, Proceedings. 2011. p. 1-14 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6825 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Banerjee, S, Levin, D, Moses, M, Koster, F & Forrest, S 2011, The value of inflammatory signals in adaptive immune responses. in Artificial Immune Systems - 10th International Conference, ICARIS 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6825 LNCS, pp. 1-14, 10th International Conference on Artificial Immune Systems, ICARIS 2011, Cambridge, United Kingdom, 7/18/11. https://doi.org/10.1007/978-3-642-22371-6_1
Banerjee S, Levin D, Moses M, Koster F, Forrest S. The value of inflammatory signals in adaptive immune responses. In Artificial Immune Systems - 10th International Conference, ICARIS 2011, Proceedings. 2011. p. 1-14. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-22371-6_1
Banerjee, Soumya ; Levin, Drew ; Moses, Melanie ; Koster, Frederick ; Forrest, Stephanie. / The value of inflammatory signals in adaptive immune responses. Artificial Immune Systems - 10th International Conference, ICARIS 2011, Proceedings. 2011. pp. 1-14 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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