Protein Interaction Network Biology in Neuroscience

Mapping the intricate networks of cellular proteins in the human brain has the potential to address unsolved questions in molecular neuroscience, including the molecular basis of cognition, synaptic plasticity, long‐term potentiation, learning, and memory. Perturbations to the protein–protein intera...

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Bibliographic Details
Published in:Proteomics (Weinheim) 2021-02, Vol.21 (3-4), p.e1900311-n/a
Main Authors: Basu, Avik, Ash, Peter EA, Wolozin, Benjamin, Emili, Andrew
Format: Article
Language:English
Subjects:
Alzheimer's disease
Biology
Brain
Cellular communication
Central nervous system
Cognition
mass‐spectrometry
Nervous system
Neurodegenerative diseases
Neurodevelopment
Neurodevelopmental disorders
Neurological diseases
Neuronal-glial interactions
neuroscience
Neurosciences
Peptide mapping
Potentiation
Proteins
protein–protein interaction network
Proteomics
Questions
Review
Reviews
Synaptic plasticity
systems biology
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Summary:Mapping the intricate networks of cellular proteins in the human brain has the potential to address unsolved questions in molecular neuroscience, including the molecular basis of cognition, synaptic plasticity, long‐term potentiation, learning, and memory. Perturbations to the protein–protein interaction networks (PPIN) present in neurons, glia, and other cell‐types have been linked to multifactorial neurological disorders. Yet while knowledge of brain PPINs is steadily improving, the complexity and dynamic nature of the heterogeneous central nervous system in normal and disease contexts poses a formidable experimental challenge. In this review, the recent applications of functional proteomics and systems biology approaches to study PPINs central to normal neuronal function, during neurodevelopment, and in neurodegenerative disorders are summarized. How systematic PPIN analysis offers a unique mechanistic framework to explore intra‐ and inter‐cellular functional modules governing neuronal activity and brain function is also discussed. Finally, future technological advancements needed to address outstanding questions facing neuroscience are outlined.
ISSN:1615-9853
1615-9861
DOI:10.1002/pmic.201900311