Unknown

Dataset Information

0

Quantitative modeling of the terminal differentiation of B cells and mechanisms of lymphomagenesis.


ABSTRACT: Mature B-cell exit from germinal centers is controlled by a transcriptional regulatory module that integrates antigen and T-cell signals and, ultimately, leads to terminal differentiation into memory B cells or plasma cells. Despite a compact structure, the module dynamics are highly complex because of the presence of several feedback loops and self-regulatory interactions, and understanding its dysregulation, frequently associated with lymphomagenesis, requires robust dynamical modeling techniques. We present a quantitative kinetic model of three key gene regulators, BCL6, IRF4, and BLIMP, and use gene expression profile data from mature human B cells to determine appropriate model parameters. The model predicts the existence of two different hysteresis cycles that direct B cells through an irreversible transition toward a differentiated cellular state. By synthetically perturbing the interactions in this network, we can elucidate known mechanisms of lymphomagenesis and suggest candidate tumorigenic alterations, indicating that the model is a valuable quantitative tool to simulate B-cell exit from the germinal center under a variety of physiological and pathological conditions.

SUBMITTER: Martinez MR 

PROVIDER: S-EPMC3289327 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Quantitative modeling of the terminal differentiation of B cells and mechanisms of lymphomagenesis.

Martínez María Rodríguez MR   Corradin Alberto A   Klein Ulf U   Álvarez Mariano Javier MJ   Toffolo Gianna M GM   di Camillo Barbara B   Califano Andrea A   Stolovitzky Gustavo A GA  

Proceedings of the National Academy of Sciences of the United States of America 20120130 7


Mature B-cell exit from germinal centers is controlled by a transcriptional regulatory module that integrates antigen and T-cell signals and, ultimately, leads to terminal differentiation into memory B cells or plasma cells. Despite a compact structure, the module dynamics are highly complex because of the presence of several feedback loops and self-regulatory interactions, and understanding its dysregulation, frequently associated with lymphomagenesis, requires robust dynamical modeling techniq  ...[more]

Similar Datasets

2012-03-20 | E-GEOD-36618 | biostudies-arrayexpress
| S-EPMC2859749 | biostudies-literature
| S-EPMC5226962 | biostudies-literature
2012-03-20 | GSE36618 | GEO
2020-06-20 | GSE142078 | GEO
| S-EPMC5390990 | biostudies-literature
| S-EPMC7759999 | biostudies-literature