Premium
A multi‐compartment mitochondrial model of brain metabolism shows that network topology supports theories in neurochemistry
Author(s) -
Lewis Nathan E,
Cheng Jeff,
Messersmith Michael Paul,
Palsson Bernhard O
Publication year - 2008
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.22.1_supplement.1020.1
Subject(s) - compartment (ship) , neurochemistry , network topology , astrocyte , constraint (computer aided design) , topology (electrical circuits) , neuroscience , computational biology , computer science , metabolic network , mitochondrion , biology , chemistry , microbiology and biotechnology , computer network , mathematics , central nervous system , neurology , oceanography , geometry , combinatorics , geology
We present a network reconstruction of brain mitochondria metabolism built using mass‐spectrometric data, gene expression data, and an extensive literature search to fill in network gaps, determine reaction directionality and to curate reaction presence and properties. Reactions were further parsed into cellular compartments allowing for view of metabolite transfer between cell types. Using constraint based methods to analyze the model, we demonstrate that application of known constraints leads to a network topology that supports experimental results of brain energetics, and theories involving glutamate recycling and the astrocyte‐neuron lactate shuttle. This demonstrates the ability of constraint based methods to predict biological function in systems biology. Funded by NIH Training Grant HL‐07089