Project description
Molecular origin of aging
Complex human diseases and ageing begin with slow changes that involve a large number of genes. Preventive medicine is therefore difficult to implement. To study the origins of late-life diseases, a multi-dimensional analysis of molecular changes and physiological parameters during ageing is required. SYSAGING proposes to use C. elegans as a model of a small but fast-growing and aging animal to analyse the molecular origins of complex diseases. Automated microscopy and an image processing platform will be integrated with transcriptomic profiling and in vivo biosensors to collect data at the molecular, cellular, individual and population levels to map factors that increase disease risks. This project will help identify the potential targets for preventive medicine at the molecular and physiological level.
Objective
A central goal of molecular medicine is to understand how genetics, diet, and environment interact to determine health. However, most complex diseases arise from slow, stochastic changes involving large numbers of genes, making it difficult to systematically develop preventative therapies. To study the early and mid-life origins of late-life diseases, we need new methods capable of measuring the high-dimensional dynamics of physiologic change during aging.
C. elegans is a small, fast-aging animal and a powerful model for asking fundamental questions about the conserved molecular origins of complex diseases. However, it is not yet feasible to systematically collect molecular and phenotypic time-series at the precision and scale needed to build quantitative dynamic models of aging. Recently, I developed an automated microscopy and image processing technology that allows life-long observation of large populations. In this proposal, we develop this prototype into an integrative platform combining transcriptomic profiling, in vivo biosensors, and new imaging technology. Collecting data at multiple spatial scales—molecules, cells, individuals, and populations—we can map the causal steps through which slow, stochastic molecular changes drive increases in disease risk. We will then apply this method at scale to characterize all known lifespan-altering interventions in C. elegans, including many being explored for clinical application.
Combining molecular genetics with theoretic approaches, we will build quantitative models of how complex diseases emerge from slow molecular-level changes, and make methodological progress toward rapid characterization of the determinants of age-associated diseases. This work will help isolate the physiologic changes whose disruption delays aging and reduces disease risk, including new targets for preventative therapies.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsbiosensors
- natural sciencesphysical sciencesopticsmicroscopy
- medical and health scienceshealth sciencesnutrition
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Keywords
- Ageing
- health
- lifespan
- age-related diseases
- interventions in ageing
- Fundamental Mechanisms of Ageing
- dynamical systems
- stochastic processes
- causality
- statistical inference
- complexity theory
- microscopy
- fluorescent imaging
- longitudinal imaging
- genetics
- molecular genetics
- transcriptomics
- single-cell sequencing
- Caenorhabditis elegans
- nematodes
Programme(s)
Topic(s)
Funding Scheme
ERC-STG - Starting GrantHost institution
08003 Barcelona
Spain