Introduction to Systems Biology

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Course Date: 02 September 2014 to 11 November 2014 (10 weeks)

Price: free

Course Summary

An introduction to current concepts of how cellular molecules come together to form systems, how these systems exhibit emergent properties, and how these properties are used to make cellular decisions.

Estimated Workload: 6-8 hours/week

Course Instructors

Ravi Iyengar

Dr. Ravi Iyengar is a Professor in the Department of Pharmacology and Systems Therapeutics at Icahn School of Medicine at Mount Sinai in New York City. He is the Principal Investigator and Director of the Systems Biology Center New York, a transdisciplinary center funded in part by the NIGMS. His expertise are in signal transduction and cell signaling networks and in Systems Biology. 

For more details see the Iyengar Laboratory website: ( 

Course Description

This course will introduce the student to contemporary Systems Biology focused on mammalian cells, their constituents and their functions. Biology is moving from molecular to modular. As our knowledge of our genome and gene expression deepens and we develop lists of molecules (proteins, lipids, ions) involved in cellular processes, we need to understand how these molecules interact with each other to form modules that act as discrete functional systems. These systems underlie core subcellular processes such as signal transduction, transcription, motility and electrical excitability. In turn these processes come together to exhibit cellular behaviors such as secretion, proliferation and action potentials. What are the properties of such subcellular and cellular systems? What are the mechanisms by which emergent behaviors of systems arise? What types of experiments inform systems-level thinking? Why do we need computation and simulations to understand these systems?

The course will develop multiple lines of reasoning to answer the questions listed above. Two major reasoning threads are: the design, execution and interpretation of multivariable experiments that produce large data sets; quantitative reasoning, models and simulations. Examples will be discussed to demonstrate “how” cell- level functions arise and “why” mechanistic knowledge allows us to predict cellular behaviors leading to disease states and drug responses.


  • Will I get a Statement of Accomplishment after completing this class?

    Yes. Students who successfully complete the class will receive a Statement of Accomplishment signed by the Course Director.


Topics covered include:
  • Systems Level Reasoning: Bottom-Up and Top-Down Approaches for Complex Systems
  • Cell Signaling Pathways: Molecules to Pathways, cAMP and MAP-kinase Pathways
  • Signal Flow: Pathways to Networks
  • The Actin Cytoskeleton: The Cell Motility Machine
  • Mathematical Representations of Cell Biological Systems Time and Space
  • Gathering Large Data Sets in Genomics and Proteomics
  • Inferring Modules: Computational Analysis of Large Data Sets; Building Networks
  • Small Scale Systems Biology Experiments
  • Identifying Emergent Properties by Computation: Dynamical Models
  • Emergent Properties: Ultrasensitivity, Bistability, Robustness and Fragility
  • Modules to Functions: Control Systems
  • Module-Boundaries: Sharp and Fuzzy, Interactions between Subcellular Modules
  • Emergence of Cellular Functions from Subcellular Modules
  • Systems Analysis of Complex Diseases
  • Systems Pharmacology: Understanding Drug Action from a Systems Perspective


Each class session will consist of an approximately one hour lecture, divided into multiple shorter segments.

For evaluation, students will be given homework assignments that will require critical reasoning and problem solving skills. Questions may be multiple choice or short (100 -300 word) essays.

Suggested Reading

Review articles and selected original research articles are discussed in the lectures. A set of review articles will be required reading. Reading primary articles is not required to complete the course, but can be quite useful. All materials will be from open access journals or will be provided as links to e-reprints, so there will be no cost to the student.

Course Workload

6-8 hours/week

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