Predicting lymph node output efficiency using systems biology

Journal of Theoretical Biology

Volumn 335, Issue , 2013, Pages 169-184

  Gong, Chang ^a   Mattila, Joshua T ^b   Miller, Mark ^c   Flynn, JoAnne L ^b   Linderman, Jennifer J ^d   Kirschner, D ^a  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF MICHIGAN   (United States)

Author keywords

3D; Agent based model; Effector; Priming; T cells

Indexed keywords

T LYMPHOCYTE RECEPTOR;

ANATOMY; ANTIGEN; BIOASSAY; CELL ORGANELLE; IMMUNE RESPONSE; MICROSCOPY; PATHOGEN; SPATIOTEMPORAL ANALYSIS;

AGENT BASED MODEL; ANIMAL CELL; ANIMAL TISSUE; ARTICLE; CD4+ T LYMPHOCYTE; CD8+ T LYMPHOCYTE; CELL DENSITY; CELL EXPANSION; CELL INTERACTION; COMPUTER MODEL; CONTROLLED STUDY; DENDRITIC CELL; EFFECTOR CELL; INFECTION; LEUKOCYTE MIGRATION; LYMPH NODE; LYMPHOCYTE DIFFERENTIATION; LYMPHOCYTE FUNCTION; MICROSCOPY; MOUSE; NONHUMAN; PRIORITY JOURNAL; SIMULATION; T LYMPHOCYTE ACTIVATION; THREE DIMENSIONAL IMAGING; TWO PHOTON MICROSCOPY;

3D; AGENT BASED MODEL; EFFECTOR; PRIMING; T CELLS;

ANIMALS; ANTIGENS; CD4-POSITIVE T-LYMPHOCYTES; CELL MOVEMENT; DENDRITIC CELLS; LYMPH NODES; LYMPHOCYTE ACTIVATION; MICE; MODELS, IMMUNOLOGICAL; RECEPTORS, ANTIGEN, T-CELL;

EID: 84880946832     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2013.06.016     Document Type: Article

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