Skip to main navigation Skip to search Skip to main content

Statistical physics of T-cell development and pathogen specificity

  • Andrej Košmrlj
  • , Mehran Kardar
  • , Arup K. Chakraborty

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

In addition to an innate immune system that battles pathogens in a nonspecific fashion, higher organisms, such as humans, possess an adaptive immune system to combat diverse (and evolving) microbial pathogens. Remarkably, the adaptive immune system mounts pathogen-specific responses, which can be recalled upon reinfection with the same pathogen. It is difficult to see how the adaptive immune system can be preprogrammed to respond specifically to a vast and unknown set of pathogens. Although major advances have been made in understanding pertinent molecular and cellular phenomena, the precise principles that govern many aspects of an immune response are largely unknown. We discuss complementary approaches from statistical mechanics and cell biology that can shed light on how key components of the adaptive immune system, T cells, develop to enable pathogen-specific responses against many diverse pathogens. The mechanistic understanding that emerges has implications for how host genetics may influence the development of T cells with differing responses to the human immunodeficiency virus (HIV) infection.

Original languageEnglish
Pages (from-to)339-360
Number of pages22
JournalAnnual Review of Condensed Matter Physics
Volume4
Issue number1
DOIs
StatePublished - Apr 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • HIV
  • Hamiltonian minimization
  • extreme value distribution
  • immune system

Fingerprint

Dive into the research topics of 'Statistical physics of T-cell development and pathogen specificity'. Together they form a unique fingerprint.

Cite this