Topological gene-expression networks recapitulate brain anatomy and function

Alice Patania; Pierluigi Selvaggi; Mattia Veronese; Ottavia Dipasquale; Paul Jean-Louis Expert; Giovanni Petri

doi:10.1162/netn_a_00094

Topological gene-expression networks recapitulate brain anatomy and function

Alice Patania, Pierluigi Selvaggi, Mattia Veronese, Ottavia Dipasquale, Paul Jean-Louis Expert, Giovanni Petri

Research output: Contribution to journal › Article › peer-review

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Abstract

Understanding how gene expression translates to and affects human behavior is one of the ultimate goals of neuroscience. In this paper, we present a pipeline based on Mapper, a topological simplification tool, to analyze gene co-expression data. We first validate the method by reproducing key results from the literature on the Allen Human Brain Atlas and the correlations between resting-state fMRI and gene co-expression maps. We then analyze a dopamine-related gene set and find that co-expression networks produced by Mapper return a structure that matches the well-known anatomy of the dopaminergic pathway. Our results suggest that network based descriptions can be a powerful tool to explore the relationships between genetic pathways and their association with brain function and its perturbation due to illness and/or pharmacological challenges.

Original language	English
Pages (from-to)	744-762
Number of pages	19
Journal	Network Neuroscience
Volume	3
Issue number	3
Early online date	15 Jul 2019
DOIs	https://doi.org/10.1162/netn_a_00094
Publication status	E-pub ahead of print - 15 Jul 2019

Keywords

Allen Human Brain Atlas
Dopamine Topological Data Analysis
FMRI
MRNA expression
Mapper

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10.1162/netn_a_00094Licence: CC BY

Topological gene expression networks_PATANIA_Accepted30April2019_GOLD VoRFinal published version, 3.28 MBLicence: CC BY

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AU - Petri, Giovanni

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Topological gene-expression networks recapitulate brain anatomy and function

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