Biomaterial Database

Modeling the lifespan of human T lymphocyte subsets. 1997

A S Hurn, and K A Lindsay, and C A Michie

Brasenose College, University of Oxford, England.

T lymphocytes may be classified as naive or memory cells, depending on whether they possess immunological memory. The central tenet of this work is that memory lymphocytes revert to naive lymphocytes in vivo. This phenomenon is modeled by a mechanism qualitatively similar to Demoivre's law of human mortality. Additionally, both lymphocyte subsets undergo decay. Model parameters and their standard errors are estimated by maximizing a likelihood function constructed by Kalman filtering of the experimental data on the assumption that it is contaminated by measurement noise of constant relative error.

UI	MeSH Term	Description	Entries
D007156	Immunologic Memory	The altered state of immunologic responsiveness resulting from initial contact with antigen, which enables the individual to produce antibodies more rapidly and in greater quantity in response to secondary antigenic stimulus.	Immune Memory,Immunological Memory,Memory, Immunologic,Immune Memories,Immunologic Memories,Immunological Memories,Memory, Immune,Memory, Immunological
D008433	Mathematics	The deductive study of shape, quantity, and dependence. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)	Mathematic
D008954	Models, Biological	Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.	Biological Model,Biological Models,Model, Biological,Models, Biologic,Biologic Model,Biologic Models,Model, Biologic
D002455	Cell Division	The fission of a CELL. It includes CYTOKINESIS, when the CYTOPLASM of a cell is divided, and CELL NUCLEUS DIVISION.	M Phase,Cell Division Phase,Cell Divisions,Division Phase, Cell,Division, Cell,Divisions, Cell,M Phases,Phase, Cell Division,Phase, M,Phases, M
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D016013	Likelihood Functions	Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.	Likelihood Ratio Test,Maximum Likelihood Estimates,Estimate, Maximum Likelihood,Estimates, Maximum Likelihood,Function, Likelihood,Functions, Likelihood,Likelihood Function,Maximum Likelihood Estimate,Test, Likelihood Ratio
D016176	T-Lymphocyte Subsets	A classification of T-lymphocytes, especially into helper/inducer, suppressor/effector, and cytotoxic subsets, based on structurally or functionally different populations of cells.	T-Cell Subset,T-Cell Subsets,T-Lymphocyte Subset,Subset, T-Cell,Subset, T-Lymphocyte,Subsets, T-Cell,Subsets, T-Lymphocyte,T Cell Subset,T Cell Subsets,T Lymphocyte Subset,T Lymphocyte Subsets
D016922	Cellular Senescence	Process by which cells irreversibly stop dividing and enter a state of permanent growth arrest without undergoing CELL DEATH. Senescence can be induced by DNA DAMAGE or other cellular stresses, such as OXIDATIVE STRESS.	Aging, Cell,Cell Aging,Cell Senescence,Replicative Senescence,Senescence, Cellular,Senescence, Replicative,Cell Ageing,Cellular Ageing,Cellular Aging,Ageing, Cell,Ageing, Cellular,Aging, Cellular,Senescence, Cell
D016923	Cell Death	The termination of the cell's ability to carry out vital functions such as metabolism, growth, reproduction, responsiveness, and adaptability.	Death, Cell