Difference between revisions of "Bi/BE 250c Winter 2011"

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* Intrinsic and extrinsic noise
 
* Intrinsic and extrinsic noise
 
* Stochastic modeling
 
* Stochastic modeling
 +
Probabilistic differentiation (?)
 
|  
 
|  
 
* BFS, Ch 4 and App C
 
* BFS, Ch 4 and App C
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* [http://www.nature.com/ng/journal/v36/n2/full/ng1293.html Dynamics of the p53-Mdm2 feedback loop in individual cells], Galit Lahav ''et al''.  ''Nature Genetics'',  36:147-150, 2004.
 
* [http://www.nature.com/ng/journal/v36/n2/full/ng1293.html Dynamics of the p53-Mdm2 feedback loop in individual cells], Galit Lahav ''et al''.  ''Nature Genetics'',  36:147-150, 2004.
 
* [http://www.nature.com/nature/journal/v455/n7212/full/nature07292.html Frequency-modulated nuclear localization bursts coordinate gene regulation], Long Cai, Chiraj K. Dalal and Michael B. Elowitz.  Nature 455:485-490, 2008.
 
* [http://www.nature.com/nature/journal/v455/n7212/full/nature07292.html Frequency-modulated nuclear localization bursts coordinate gene regulation], Long Cai, Chiraj K. Dalal and Michael B. Elowitz.  Nature 455:485-490, 2008.
* [Single-cell NF-kB dynamics reveal digital activation and analogue information processing], S. Tay ''et al''.  ''Nature'', 466(7303):267-271, 2010
+
* [http://www.nature.com/nature/journal/v466/n7303/full/nature09145.html Single-cell NF-kB dynamics reveal digital activation and analogue information processing], S. Tay ''et al''.  ''Nature'', 466(7303):267-271, 2010
 
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| 7
 
| 7
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|  
 
|  
 
* Alon, Ch 8: Robust Patterning in Development
 
* Alon, Ch 8: Robust Patterning in Development
 +
* [http://linkinghub.elsevier.com/retrieve/pii/S0959437X04000887 Elucidating mechanisms underlying robustness of morphogen gradients], Avigdor Eldar, Ben-Zion Shilo and Naama Barkai. ''Curr Opin Genet Dev.'', 14(4):435-439, 2004.
 +
* [http://www.pnas.org/content/107/15/6924.short Scaling of morphogen gradients by an expansion-repression integral feedback control], Danny Ben-Zvia and Naama Barkai.  ''PNAS'',  107(15):6924-6929, 2010.
 
| rowspan=2 |  <!-- Homework -->
 
| rowspan=2 |  <!-- Homework -->
 
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| 9
 
| 9
 
| 1 Mar <br> 3 Mar
 
| 1 Mar <br> 3 Mar
| Epistasis and modulatory (Keasling) - ???
+
| Epistasis and modularity
| <!-- Reading -->
+
* Flux balance analysis and yeast metabolism
 +
* Antibiotic interactions
 +
* Principle of monochroniticity (?)
 +
|  
 +
* [http://www.nature.com/ng/journal/v37/n1/abs/ng1489.html Modular epistasis in yeast metabolism], Daniel Segrè, Alexander DeLuna, George M Church and Roy Kishony.  ''Nature Genetics'',  37:77-83, 2004.
 
| <!-- Homework -->
 
| <!-- Homework -->
 
|- valign=top
 
|- valign=top
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| <!-- Homework -->
 
| <!-- Homework -->
 
|}
 
|}
 +
 +
Other possible topics (if time):
 +
* Population dynamics, infection dynamics (after week 5)
 +
* Signaling cascades (MAPK cascades) - after motifs
 +
* Data analysis (tutorial)?
  
 
=== Grading ===
 
=== Grading ===
The final grade will be based on homework and a final exam:
+
The final grade will be based on biweekly homework sets.  The homework will be due in class one week after they are assigned. Late homework will not be accepted without prior permission from the instructor.
* Homework (75%) - There will be 9 one-week problem sets, due in class one week after they are assigned. Late homework will not be accepted without prior permission from the instructor.
 
* Final exam (25%) - The final will be handed out the last day of class and is due back at the end of finals week.  Open book, time limit to be decided (likely N hours over a 4-8N hour period).  
 
  
 
The lowest homework score you receive will be dropped in computing your homework average.  In addition, if your score on the final is higher than the weighted average of your homework and final, your final will be used to determine your course grade.
 
The lowest homework score you receive will be dropped in computing your homework average.  In addition, if your score on the final is higher than the weighted average of your homework and final, your final will be used to determine your course grade.
Line 161: Line 171:
 
=== Collaboration Policy ===
 
=== Collaboration Policy ===
 
Collaboration on homework assignments is encouraged. You may  consult outside reference materials, other students, the TA, or the instructor.  Use of solutions from previous years in the course is not allowed.  All solutions that are handed should reflect your understanding of the subject matter at the time of writing.  
 
Collaboration on homework assignments is encouraged. You may  consult outside reference materials, other students, the TA, or the instructor.  Use of solutions from previous years in the course is not allowed.  All solutions that are handed should reflect your understanding of the subject matter at the time of writing.  
 
No collaboration is allowed on the final exam.
 
  
 
== Old Announcements ==
 
== Old Announcements ==
  
 
[[Category:Courses]]
 
[[Category:Courses]]

Revision as of 03:05, 29 November 2010

Systems Biology

Instructors

  • Michael Elowitz (Bi/BE)
  • Richard Murray (CDS/BE)
  • Lectures: Tu/Th, 1-2:30 pm, 151 Braun

Teaching Assistants

  • Vanessa Jonsson
  • Fiona Chandra

Course Description

The class will focus on quantitative studies of cellular and developmental systems in biology. It will examine the architecture of specific genetic circuits controlling microbial behaviors and multicellular development in model organisms. The course will approach most topics from both experimental and theoretical/computational perspectives. Specific topics include chemotaxis, multistability and differentiation, biological oscillations, stochastic effects in circuit operation, as well as higher-level circuit properties such as robustness. The course will also consider the organization of transcriptional and protein-protein interaction networks at the genomic scale.

Announcements

  • 24 Oct 2010: web page creation

Textbook

The primary text for the course (available via the online bookstore) is

 [Alon]  U. Alon, An Introduction to Systems Biology: Design Principles of Biological Circuits, CRC Press, 2006.

The following additional texts and notes may be useful for some students:

 [BFS]  D. Del Vecchio and R. M. Murray, Biomolecular Feedback Systems. Available online at http://www.cds.caltech.edu/~murray/amwiki/BFS.
 [Klipp]  Edda Klipp, Wolfram Liebermeister, Christoph Wierling, Axel Kowald, Hans Lehrach, Ralf Herwig, Systems biology: a textbook. Wiley, 2009.

Lecture Schedule

Week Date Topic Reading Homework
1 4 Jan
6 Jan
Course overview; gene circuit dynamics
  • Core processes in cells
  • Modeling transcription, translation and regulation using ODEs
  • Negative auto-regulation

Recitation section(s):

  • Ordinary differential equations
  • MATLAB tutorial
  • Alon, Ch 2: Transcription networks : basic concepts
  • BFS, Ch 2: Modeling of Core Processes
  • Alon, Ch 3: Autoregulation : a network motif
2 11 Jan
13 Jan
Circuit motifs
  • Finding "motifs"
  • Feedforward loops (FFLs)
  • SIMS and multi-output FFLs
  • Alon, Ch 4: The feed-forward loop network motif
  • Alon, Ch 5: Temporal programs and the global structure of transcription networks
  • Alon, Ch 6: Network motifs in developmental, signal transduction, and neuronal networks
3 18 Jan?
20 Jan
Biological clocks: how to produce oscillations in cells
  • Synthetic oscillators (repressilator, dual-feedback oscillator)
  • Circadian clocks in cyanobacteria
  • Optional: plant clocks/circadian rhythm
4 25 Jan
27 Jan
Robustness
  • Chemotaxis and perfect adaptation
  • Controls analysis of robustness
5 1 Feb*
3 Feb
Noise
  • Random processes
  • Intrinsic and extrinsic noise
  • Stochastic modeling

Probabilistic differentiation (?)

6 8 Feb*
10 Feb
Dynamic signal coding
  • PWM
  • FM
  • NFkB example
7 15 Feb
17 Feb
Patterning
  • Morphogenesis
  • Robust morphagen gradient
  • Proportionality and scaling
8 22 Feb
24 Feb
Fine grain patterns
  • Lateral inhibition
  • Notch-delta
9 1 Mar
3 Mar
Epistasis and modularity
  • Flux balance analysis and yeast metabolism
  • Antibiotic interactions
  • Principle of monochroniticity (?)
10 8 Mar

Other possible topics (if time):

  • Population dynamics, infection dynamics (after week 5)
  • Signaling cascades (MAPK cascades) - after motifs
  • Data analysis (tutorial)?

Grading

The final grade will be based on biweekly homework sets. The homework will be due in class one week after they are assigned. Late homework will not be accepted without prior permission from the instructor.

The lowest homework score you receive will be dropped in computing your homework average. In addition, if your score on the final is higher than the weighted average of your homework and final, your final will be used to determine your course grade.

Collaboration Policy

Collaboration on homework assignments is encouraged. You may consult outside reference materials, other students, the TA, or the instructor. Use of solutions from previous years in the course is not allowed. All solutions that are handed should reflect your understanding of the subject matter at the time of writing.

Old Announcements