A Transcriptome Community-and-Module Approach of the Human Mesoconnectome

Autor: Omar Paredes, Jhonatan B. López, César Covantes-Osuna, Vladimir Ocegueda-Hernández, Rebeca Romo-Vázquez, J. Alejandro Morales
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Entropy, Vol 23, Iss 8, p 1031 (2021)
Druh dokumentu: article
ISSN: 23081031
1099-4300
DOI: 10.3390/e23081031
Popis: Graph analysis allows exploring transcriptome compartments such as communities and modules for brain mesostructures. In this work, we proposed a bottom-up model of a gene regulatory network to brain-wise connectome workflow. We estimated the gene communities across all brain regions from the Allen Brain Atlas transcriptome database. We selected the communities method to yield the highest number of functional mesostructures in the network hierarchy organization, which allowed us to identify specific brain cell functions (e.g., neuroplasticity, axonogenesis and dendritogenesis communities). With these communities, we built brain-wise region modules that represent the connectome. Our findings match with previously described anatomical and functional brain circuits, such the default mode network and the default visual network, supporting the notion that the brain dynamics that carry out low- and higher-order functions originate from the modular composition of a GRN complex network
Databáze: Directory of Open Access Journals
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