ArticleFrontiers in physiology2018
Dynamical Analysis of the Regulatory Network Controlling Natural Killer Cells Differentiation.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Using Monoids for the Integration of Genomic and Metabolic Parameters in the Prediction of Phenotypes in Regulatory Cascades.bioRxiv : the preprint server for biology · 2025Article
- CD4+ T Cell Regulatory Network Underlies the Decrease in Th1 and the Increase in Anergic and Th17 Subsets in Severe COVID-19.Pathogens (Basel, Switzerland) · 2022Article
- CANTATA-prediction of missing links in Boolean networks using genetic programming.Bioinformatics (Oxford, England) · 2022Article
- Interleukin 15 in Cell-Based Cancer Immunotherapy.International journal of molecular sciences · 2022Review
- Cyclic Attractors Are Critical for Macrophage Differentiation, Heterogeneity, and Plasticity.Frontiers in molecular biosciences · 2022Article
- Review
- Article
- Leveraging Prior Knowledge to Recover Characteristic Immune Regulatory Motifs in Gulf War Illness.Frontiers in physiology · 2020Article
- From Discrete to Continuous Modeling of Lymphocyte Development and Plasticity in Chronic Diseases.Frontiers in immunology · 2019Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many disease fighting strategies have focused on the generation of NK cells, since they constitute the main immune barrier against cancer and intracellular pathogens such as viruses. Therefore, a predictive model for the development of NK cells would constitute a useful tool to test several hypotheses regarding the production of these cells during both physiological and pathological conditions. Here, we present a boolean network model that reproduces experimental results reported on the literature regarding the progressive stages of the development of NK cells in wild-type and mutant backgrounds. The model allows for the simulation of different conditions, including extracellular micro-environment as well as the simulation of genetic alterations. It also describes how NK cell differentiation depends on a molecular regulatory network that controls the specification of lymphoid lineages, such as T and B cells, which share a common progenitor with NKs. Furthermore, the study shows that the structure of the regulatory network strongly determines the stability of the expression patterns against perturbations.
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Registered trials
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