TY - JOUR
T1 - Advances in Astrocyte Computational Models
T2 - From Metabolic Reconstructions to Multi-omic Approaches
AU - González, Janneth
AU - Pinzón, Andrés
AU - Angarita-Rodríguez, Andrea
AU - Aristizabal, Andrés Felipe
AU - Barreto, George E.
AU - Martín-Jiménez, Cynthia
N1 - Publisher Copyright:
© Copyright © 2020 González, Pinzón, Angarita-Rodríguez, Aristizabal, Barreto and Martín-Jiménez.
PY - 2020/8/7
Y1 - 2020/8/7
N2 - 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.
AB - 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.
KW - astrocytes
KW - computational model
KW - data integration
KW - high-throughput data
KW - omics
KW - system biology
UR - http://www.scopus.com/inward/record.url?scp=85089840641&partnerID=8YFLogxK
U2 - 10.3389/fninf.2020.00035
DO - 10.3389/fninf.2020.00035
M3 - Review article
AN - SCOPUS:85089840641
SN - 1662-5196
VL - 14
SP - -
JO - Frontiers in Neuroinformatics
JF - Frontiers in Neuroinformatics
M1 - 35
ER -