Systems Immunology: Learning the Rules of the Immune System.
Annu Rev Immunol
; 36: 813-842, 2018 04 26.
Article
em En
| MEDLINE
| ID: mdl-29677477
ABSTRACT
Given the many cell types and molecular components of the human immune system, along with vast variations across individuals, how should we go about developing causal and predictive explanations of immunity? A central strategy in human studies is to leverage natural variation to find relationships among variables, including DNA variants, epigenetic states, immune phenotypes, clinical descriptors, and others. Here, we focus on how natural variation is used to find patterns, infer principles, and develop predictive models for two areas (a) immune cell activation-how single-cell profiling boosts our ability to discover immune cell types and states-and (b) antigen presentation and recognition-how models can be generated to predict presentation of antigens on MHC molecules and their detection by T cell receptors. These are two examples of a shift in how we find the drivers and targets of immunity, especially in the human system in the context of health and disease.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Sistema Imunitário
/
Imunidade
Tipo de estudo:
Prognostic_studies
Limite:
Animals
/
Humans
Idioma:
En
Revista:
Annu Rev Immunol
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Estados Unidos