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Matteo Barberis

About Matteo Barberis:

Reader (Professor) of Systems Biology; Executive Director for the International Society of Systems Biology (ISSB); Editor-in-Chief of Current Opinion in Systems Biology (Elsevier).

SEEK ID: https://fairdomhub.org/people/1629

Location:  United Kingdom

Expertise: Editorial Committee, Modelling, Biochemistry, Computational Systems Biology, Dynamic modelling, Mathematical modelling, Molecular Biology, Systems Biology

Tools: Biochemistry, Dynamic modelling, Molecular Biology, Molecular biology techniques (RNA/DNA/Protein), ODE, Systems Biology

ORCID: https://orcid.org/0000-0001-5640-7422

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Project positions

COVID-19 Disease Map (University of Surrey)

Related items

COVID-19 Disease Map

Here we share resources and best practices to develop a disease map for COVID-19. The project is progressing as a broad community-driven effort. We aim to establish a knowledge repository on virus-host interaction mechanisms specific to the SARS-CoV-2. The COVID-19 Disease Map is an assembly of molecular interaction diagrams established based on literature evidence.

Programme: Disease Maps

Public web page: http://doi.org/10.17881/covid19-disease-map

University of Surrey

Country:  United Kingdom

City: Guildford

Web page: Not specified

ROS networks: designs, aging, Parkinson's disease and precision therapies.
Service to LCSB (Luxembourg) with respect to ROS management in Parkinson’s disease and cancer model (Active NOW), ROS detailed model for MSB manucript, SNAPPER: Synergistic Neurotoxicology APP for Environmental Regulation

Abstract (Expand)

How the network around ROS protects against oxidative stress and Parkinson's disease (PD), and how processes at the minutes timescale cause disease and aging after decades, remains enigmatic. … Challenging whether the ROS network is as complex as it seems, we built a fairly comprehensive version thereof which we disentangled into a hierarchy of only five simpler subnetworks each delivering one type of robustness. The comprehensive dynamic model described in vitro data sets from two independent laboratories. Notwithstanding its five-fold robustness, it exhibited a relatively sudden breakdown, after some 80 years of virtually steady performance: it predicted aging. PD-related conditions such as lack of DJ-1 protein or increased alpha-synuclein accelerated the collapse, while antioxidants or caffeine retarded it. Introducing a new concept (aging-time-control coefficient), we found that as many as 25 out of 57 molecular processes controlled aging. We identified new targets for "life-extending interventions": mitochondrial synthesis, KEAP1 degradation, and p62 metabolism.

Authors: A. N Kolodkin, R. P. Sharma, A. M. Colangelo, A. Ignatenko, F. Martorana, D. Jennen, J. J. Briede, N. Brady, M. Barberis, T. D. G. A. Mondeel, M. Papa, V. Kumar, B. Peters, A. Skupin, L. Alberghina, R. Balling, H. V. Westerhoff

Date Published: 26th Oct 2020

Publication Type: Journal

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