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Biological robustness

Biological robustness. observation that biological systems stably perform their functions in highly variable external (environment) and internal (cellular content, including genetic variations) conditions

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Biological robustness

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  1. Biological robustness • observation that biological systems stably perform their functions in highly variable external (environment) and internal (cellular content, including genetic variations) conditions • robustness is one of the most ubiquitous emergent properties of living organisms as complex systems

  2. Distributed robustness Robust control? Critical parameters Identifiably of robust systems Robust biological system design How robust systems can evolve? Robustness vs adaptability Biological robustness Robustness: feedbacks and redundancy Robustness and multiscaleness (in time and space) Robustness and resource limits Functional robustness vs stability Robustnesvs fragility Robustness and modules

  3. Cancer, cell cycle and developmental program as robust systems

  4. Mathematical frameworks • Sensitivity analysis • Model reduction • Law of big numbers • Measure concentration phenomenon • Canalization • Robustness conservation • Evolutionary models • HOT, SOC, CAS, etc., etc.

  5. MATBRAC project deliverables • Established contacts and common projects with the group of Hiroaki Kitano (Japan) • Methodology of model reduction and identification of critical parameters (Radulescu et al. BMC Systems Biology), presentation of this methodology on national and international levels (INSERM workshop on modeling networks, BGRS-2008, ICSB-2008) • Established contacts with the group of Upi Bhala (India), work on the robustness of biological switches • Submission of two SYSCOMM ANR projects (CALAMAR has been financed, on studying modules and robust behavior of RB/E2F pathway) • UK-France research consortium for preparing project on studying robustness

  6. Questions for discussion • What is biological intuition to distinguish robust/non robust? • What could be the robust features: gene expression, phenotype, but in between? • What are the experimental plans to test robustness? • Do we have right methodology to create mechanistical models of robust systems? Bottom-up or top-down modeling? • Robustness and high-throughput data

  7. abyss hill Genomic plasticity in BRCA1 mutated breast cancers • We believe that few casual genetic events lead to genomic instabilities which increase after at random • SNP profiles for measuring gene copy numbers are highly correlated Everything that can be lost, will be lost, Everything that can’t be lost, will be amplified

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