MODELLING THE DYNAMIC PROGRESSION OF CELLULAR AGING THROUGH THE DEVELOPMENT OF SYSTEMS BIOLOGY AND BIOINFORMATICS TOOLS

Abstract: 

Aging, a progressive physiological process, is affected by environmental and genetic factors and is modulated by still unknown underlying mechanisms. A holistic approach that combines genomic, proteomic and phosphoproteomic experiments along with modelling techniques will be applied to reveal the genetic and protein interactions that dominate the progression of cellular aging.

Novel computational methodologies will be developed for high-throughput experimental data analysis using top-down and bottom-up approaches. New Bioinformatics and Systems Biology tools will be developed to conceptualize the dynamics of the aging process and decipher the pathways that govern it.

The goals are:

  • The study of the dynamics of cellular aging process at genomic, proteomic and phosphoproteomic level in two distinct experimental models.
  • The exploration of Gene Regulatory and Protein Interaction Networks to decipher replicative and stress-induced premature senescence. 
  • The identification of bioindicators (molecules or networks of molecules) that drive the process.
  • The development of quantified model of the aging mechanisms.
  • The validation of model based results at organismal level.

The proposal work is divided into 4 Work Packages:

  1. Biological experiments.
  2. Systems Biology and Bioinformatics analysis of genomic, proteomic and phosphoproteomic data.
  3. Experimental evaluation of computational analyses.
  4. Management and dissemination of results.

The expected results are:

  • Database of high-throughput experimental data from two in vitro models.
  • Derivation of molecular networks involved in aging at genomic, proteomic and phosphoproteomic level and systems level functional analysis of the integrated data.
  • Development of new computational intelligence tools and models for the elucidation of aging mechanism.
  • Verification of the derived models through new rounds of in vivo experiments that will reveal preserved evolutionary aspects of aging.

Project info

Acronym:
MAESTRO
Coordinating Institution:
University of Patras
Scientific Coordinator:
Bezerianos Anastasios
Research Team 2 Leader:
Chatziioannou Aristotelis
Research Team 3 Leader:
Alexopoulos Leonidas

Stats

I.D.:
1421
Mis:
377001
Duration (months):
45
Budget:
600 000.00
Diavgeia:
ΑΔΑ: Β4Λ59-ΙΔ0

Document Library

News

(25-06-2012) Ένταξη της Πράξης «ΘΑΛΗΣ – ΠΑΝΕΠΙΣΤΗΜΙΟ ΠΑΤΡΩΝ – Νέα Υπολογιστικά Εργαλεία Συστημικής Βιολογίας και Βιοπληροφορικής  στη Μελέτη της Δυναμικής της Κυτταρικής Γήρανσης», με MIS: 377001 στο Επιχειρησιακό Πρόγραμμα «ΕΚΠΑΙΔΕΥΣΗ ΚΑΙ ΔΙΑ ΒΙΟΥ ΜΑΘΗΣΗ» 2007-2013.  - ΑΠ10 (PDF|2,6 MB)