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Systems Biology & Systems Medicine

Design Principles of Life, Disease, and Aging

An independent primer on systems biology, network motifs, physiological circuit fragilities, the Periodic Table of Diseases, and quantitative approaches to aging.

3 modules · 9 lessons · 1h · mastery threshold 80

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About this course

Background for Research in the Uri Alon Lab This independent educational primer introduces scientific concepts relevant to research themes in the Uri Alon Lab at Weizmann Institute of Science. It is not an official Weizmann Institute of Science or Uri Alon Lab course and does not imply endorsement or affiliation. For ambitious high-school students and early undergraduates. Video-first lessons with concise written companions. Approximately one hour with assessments; mastery-only certificate eligibility at 80%, without a capstone or Research Defense.

Syllabus

Module 1

Systems Biology and Design Principles

From complex biology to circuits, dynamics, experiments, and design principles.

Module 2

From Systems Biology to Systems Medicine

Function, design, fragility, and disease in physiological circuits.

Module 3

The Periodic Table of Diseases and Systems Aging

Disease patterns, damage removal, and inference of tissue dynamics.

Concepts you'll master

  • Bistability and inflammatory/fibrotic circuit dynamics

    Interpret alternative stable states and history dependence in fibrosis models.

  • Dynamical compensation and hormone feedback

    Explain dynamical compensation in glucose-insulin models.

  • Fast signaling versus slow tissue adaptation

    Distinguish fast hormone signals from slow gland-mass adaptation.

  • Feed-forward loops and autoregulatory circuit functions

    Predict conditional functions of feed-forward loops and negative autoregulation.

  • Feedback, mutant surveillance, and physiological fragility

    Distinguish feedback hypotheses from universal explanations of autoimmunity.

  • Fixed points, stability, nonlinearity, and experiment

    Test fixed-point stability and predictions against dynamic measurements.

  • Function → design → fragility → disease

    Treat disease fragility as a testable systems-medicine hypothesis.

  • Gompertz mortality and quantitative aging patterns

    Interpret approximate population mortality patterns.

  • Inferring tissue dynamics from spatial snapshots

    Explain model-based inference of tissue dynamics from spatial snapshots.

  • Minimal dynamical models and ordinary differential equations

    Interpret production-minus-removal ordinary differential equations.

  • Network motifs and randomized null models

    Compare motif counts with a degree-preserving randomized null model.

  • Periodic Table of Diseases framework

    Read the periodic table as a systems-medicine teaching framework.

  • Recurrent disease classes from circuit fragilities

    Use tissue-design patterns to formulate limited disease hypotheses.

  • Robustness and circuit-level explanation

    Distinguish robustness of one function from robustness of every property.

  • Saturated removal model and damage accumulation

    Distinguish saturating damage removal from a universally established aging mechanism.

  • Systems biology and biological design principles

    Explain biological behavior through interacting components and dynamics.

  • Systems medicine and physiological circuit design

    Relate physiological function to circuit design.

  • Systems-level prediction in aging and medicine

    Interpret population heritability and predictive findings within their assumptions.