Unknown

Dataset Information

0

Logical modeling of thymus and natural killer lymphocyte differentiation.


ABSTRACT: Thymus (T) and natural killer (NK) lymphocytes are important barriers against diseases. Therefore, it is necessary to understand regulatory mechanisms related to the cell fate decisions involved in the production of these cells. Although some individual information related to T and NK lymphocyte cell fate decisions have been revealed, the related network and its dynamical characteristics still have not been well understood. By integrating individual information and comparing with experimental data, we construct a comprehensive regulatory network and a logical model related to T and NK lymphocyte differentiation. We aim to explore possible mechanisms of how each lineage differentiation is realized by systematically screening individual perturbations. When determining the perturbation strategies, the state transition can be used to identify the roles of specific genes in cell type selection and reprogramming. In agreement with experimental observations, the dynamics of the model correctly restates the cell differentiation processes from common lymphoid progenitors to CD4+ T cells, CD8+ T cells, and NK cells. Our analysis reveals that some specific perturbations can give rise to directional cell differentiation or reprogramming. We test our in silico results by using known experimental observations. The integrated network and the logical model presented here might be a good candidate for providing qualitative mechanisms of cell fate specification involved in T and NK lymphocyte cell fate decisions.

SUBMITTER: Ye J 

PROVIDER: S-EPMC7981374 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Logical modeling of thymus and natural killer lymphocyte differentiation.

Ye Jianting J   Chen Qingxi Q   Wang Ruiqi R  

Journal of biological physics 20210318 1


Thymus (T) and natural killer (NK) lymphocytes are important barriers against diseases. Therefore, it is necessary to understand regulatory mechanisms related to the cell fate decisions involved in the production of these cells. Although some individual information related to T and NK lymphocyte cell fate decisions have been revealed, the related network and its dynamical characteristics still have not been well understood. By integrating individual information and comparing with experimental da  ...[more]

Similar Datasets

| S-EPMC3072878 | biostudies-literature
| S-EPMC2577011 | biostudies-literature
| S-EPMC7662090 | biostudies-literature
| S-EPMC6767057 | biostudies-literature
| S-EPMC1988958 | biostudies-literature
| S-EPMC4600975 | biostudies-other
| S-EPMC10682417 | biostudies-literature
| S-EPMC10583354 | biostudies-literature
| S-EPMC6082967 | biostudies-literature
| S-EPMC11792776 | biostudies-literature