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Advances in Astrocyte Computational Models: From Metabolic Reconstructions to Multi-omic Approaches
Frontiers in Neuroinformatics ( IF 2.5 ) Pub Date : 2020-08-07 , DOI: 10.3389/fninf.2020.00035
Janneth González 1 , Andrés Pinzón 2 , Andrea Angarita-Rodríguez 1, 2 , Andrés Felipe Aristizabal 1 , George E Barreto 3, 4 , Cynthia Martín-Jiménez 1
Affiliation  

The growing importance of astrocytes in the field of neuroscience has led to a greater number of computational models devoted to the study of astrocytic functions and their metabolic interactions with neurons. The modeling of these interactions demands a combined understanding of brain physiology and the development of computational frameworks based on genomic-scale reconstructions, system biology, and dynamic models. These computational approaches have helped to highlight the neuroprotective mechanisms triggered by astrocytes and other glial cells, both under normal conditions and during neurodegenerative processes. In the present review, we evaluate some of the most relevant models of astrocyte metabolism, including genome-scale reconstructions and astrocyte-neuron interactions developed in the last few years. Additionally, we discuss novel strategies from the multi-omics perspective and computational models of other glial cell types that will increase our knowledge in brain metabolism and its association with neurodegenerative diseases.

中文翻译:

星形胶质细胞计算模型的进展:从代谢重建到多组学方法

星形胶质细胞在神经科学领域的重要性日益增加,导致出现了大量用于研究星形胶质细胞功能及其与神经元代谢相互作用的计算模型。这些相互作用的建模需要对大脑生理学的综合理解以及基于基因组规模重建、系统生物学和动态模型的计算框架的开发。这些计算方法有助于突出星形胶质细胞和其他神经胶质细胞在正常条件下和神经退行性过程中触发的神经保护机制。在本综述中,我们评估了一些最相关的星形胶质细胞代谢模型,包括过去几年开发的基因组规模重建和星形胶质细胞-神经元相互作用。此外,
更新日期:2020-08-07
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