Boolean Networks: A Primer
Contino S, Bertolazzi G, Calì F, Cantone M, Vera González J, Romano V (2021)
Publication Language: English
Publication Type: Book chapter / Article in edited volumes
Publication year: 2021
Publisher: Academic Press
Edited Volumes: Systems Medicine: Integrative, Qualitative and Computational Approaches. Volume 2: Application Areas
City/Town: London / San Diege, CA / Cambridge, MA / Oxford
Pages Range: 41-53
ISBN: 9780128160770
DOI: 10.1016/B978-0-12-801238-3.11518-1
Abstract
Autism Spectrum Disorders (ASDs) stand out as a relevant example where omics-data approaches have been extensively and successfully employed. For instance, an outstanding outcome of the Autism Genome Project relies in the identification of biomarkers and the mapping of biological processes potentially implicated in ASDs’ pathogenesis. Several of these mapped processes are related to molecular and cellular events (e.g., synaptogenesis and synapse function, axon growth and guidance, etc.) that are required for the development of a correct neuronal connectivity. Interestingly, these data are consistent with results of brain imaging studies of some patients. Despite these remarkable progresses it is still quite a challenge to reconstruct the causal chain of events linking mutations, epimutations and other molecular defects to the spectrum of phenotypes and endophenotypes present in autistic patients. In this article we review the state-of-art of omics-data research in ASDs and present how the use of in silico dynamics modeling of biochemical networks becomes a powerful approach to investigate ASDs omics-data from a different perspective to extract more information. To this end, we generated—for the first time—a protein network regulating the dynamics of the growth cone and we then transformed it into the equivalent Boolean model. Using in silico mutagenesis we show that simulations of this model lead to a more comprehensive and systemic understanding of the cellular and molecular effects of gene mutations in ASDs compared to conventional analyses of static pathways. Such powerful tool might constitute a significant twist in the analysis of in silico genotype-phenotype relationship for ASDs and other multi-genic neurodevelopmental disorders, especially when combined with the latest sequencing technologies applied to single patients.
Authors with CRIS profile
Martina Cantone
Professur für Tumorimmunologie (Schwerpunkt Systembiologie)
Julio Vera González
Professur für Tumorimmunologie (Schwerpunkt Systembiologie)
Involved external institutions
Italy (IT)How to cite
APA:
Contino, S., Bertolazzi, G., Calì, F., Cantone, M., Vera González, J., & Romano, V. (2021). Boolean Networks: A Primer. In Olaf Wolkenhauer (Eds.), Systems Medicine: Integrative, Qualitative and Computational Approaches. Volume 2: Application Areas. (pp. 41-53). London / San Diege, CA / Cambridge, MA / Oxford: Academic Press.
MLA:
Contino, Salvatore, et al. "Boolean Networks: A Primer." Systems Medicine: Integrative, Qualitative and Computational Approaches. Volume 2: Application Areas. Ed. Olaf Wolkenhauer, London / San Diege, CA / Cambridge, MA / Oxford: Academic Press, 2021. 41-53.
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