ArticleBMC bioinformatics2016
Statistical ensemble of gene regulatory networks of macrophage differentiation.
Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
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- Pancreatic cancer mutationscape: revealing the link between modular restructuring and intervention efficacy amidst common mutations.bioRxiv : the preprint server for biology · 2024Article
- Expression Profile of Genes Related to the Th17 Pathway in Macrophages Infected byFrontiers in cellular and infection microbiology · 2022Article
- From Infection to Immunity: Understanding the Response to SARS-CoV2 ThroughFrontiers in immunology · 2021Article
- Potential predictors of type-2 diabetes risk: machine learning, synthetic data and wearable health devices.BMC bioinformatics · 2020Article
- A generalizable data-driven multicellular model of pancreatic ductal adenocarcinoma.GigaScience · 2020Article
- The greater inflammatory pathway-high clinical potential by innovative predictive, preventive, and personalized medical approach.The EPMA journal · 2020Review
- A mechanistic integrative computational model of macrophage polarization: Implications in human pathophysiology.PLoS computational biology · 2019Article
- Modeling the Effect of High Calorie Diet on the Interplay between Adipose Tissue, Inflammation, and Diabetes.Computational and mathematical methods in medicine · 2019Article
- Gene Regulatory Network Modeling of Macrophage Differentiation Corroborates the Continuum Hypothesis of Polarization States.Frontiers in physiology · 2018Article
- Recent advances in the treatment of skin involvement in systemic sclerosis.Inflammation and regeneration · 2017Review
- Bioinformatics and systems biology research update from the 15BMC bioinformatics · 2016Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMacrophages cover a major role in the immune system, being the most plastic cell yielding several key immune functions.
methodsHere we derived a minimalistic gene regulatory network model for the differentiation of macrophages into the two phenotypes M1 (pro-) and M2 (anti-inflammatory).
resultsTo test the model, we simulated a large number of such networks as in a statistical ensemble. In other words, to enable the inter-cellular crosstalk required to obtain an immune activation in which the macrophage plays its role, the simulated networks are not taken in isolation but combined with other cellular agents, thus setting up a discrete minimalistic model of the immune system at the microscopic/intracellular (i.e., genetic regulation) and mesoscopic/intercellular scale.
conclusionsWe show that within the mesoscopic level description of cellular interaction and cooperation, the gene regulatory logic is coherent and contributes to the overall dynamics of the ensembles that shows, statistically, the expected behaviour.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.