A first dynamical model is given to explain maturation steps of B limphocytic cells in human body, based on Metabolic P systems with genetic regression of regulation maps. In humans, B cell development constitutes the steps that lead to B cell commitment and to expression of surface immunoglobulin, which is essential for B cell survival and function. Mature and fully functional B cells population (CD19+) include phenotypically and functionally different subgroups which persist during all stages of B-cell maturation. Quantities of eight different subgroups of B cells, identified by presence or absence of given receptors, were measured in about six thousands patients of all ages. Here we present a long work of preparation and analysis of (ex-vivo) data, and a preliminary model to explain the eight statistically refined time series, which opened up interesting questions about network inference and methodologies to analyze cross sectional data.

Towards an MP model for B lymphocytes maturation

CASTELLINI, ALBERTO;FRANCO, Giuditta;MANCA, Vincenzo;ORTOLANI, RICCARDO;VELLA, ANTONIO
2014-01-01

Abstract

A first dynamical model is given to explain maturation steps of B limphocytic cells in human body, based on Metabolic P systems with genetic regression of regulation maps. In humans, B cell development constitutes the steps that lead to B cell commitment and to expression of surface immunoglobulin, which is essential for B cell survival and function. Mature and fully functional B cells population (CD19+) include phenotypically and functionally different subgroups which persist during all stages of B-cell maturation. Quantities of eight different subgroups of B cells, identified by presence or absence of given receptors, were measured in about six thousands patients of all ages. Here we present a long work of preparation and analysis of (ex-vivo) data, and a preliminary model to explain the eight statistically refined time series, which opened up interesting questions about network inference and methodologies to analyze cross sectional data.
2014
978-3-319-08122-9
B lymphocytic cells maturation; cross sectional data; genetic algorithms; MP systems; parameter regression, dynamical model; network inference
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/934331
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