BFS GOTChAs, April 2010: Difference between revisions
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This page contains some [[GOTChA Chart|GOTChA charts]] for possible rotation projects in the lab this summer. __NOTOC__ | This page contains some [[GOTChA Chart|GOTChA charts]] for possible rotation projects in the lab this summer. __NOTOC__ | ||
= Active = | |||
=== Consistent Gene Expression Level (ES and JTM) === | |||
{| width=100% border=1 | |||
|- valign=top | |||
| width=50% | | |||
==== Goals ==== | |||
* Design, synthesize and characterize an inducible gene circuit that will express a constant level of a protein regardless of inducer concentration | |||
| | |||
==== Technical Challenges ==== | |||
* Might have issues designing an ACR circuit synthetically | |||
* Getting an inducible circuit might be difficult, may start with the simpler problem of just expressing a protein at a constant level | |||
|- | |||
| width=50% | | |||
==== Objectives ==== | |||
* Design a circuit that exhibits a constant concentration of gene of interest (probably an xFP at steady state) we might be able to use ACR theory [http://www.sciencemag.org/cgi/content/abstract/327/5971/1389?ijkey=c777f236d838b71911625aae954a625090cf51ca&keytype2=tf_ipsecsha] | |||
* Construct and characterize designed circuit | |||
| | |||
==== Approach ==== | |||
* Incorporate feedback into current inducer systems, possibly tie into a gene that is known to be tightly controlled | |||
* Design theoretical circuit, then use canonical examples of reactions | |||
* Try the a fusion protein with the circuit that is tightly regulated in paper as a crutch | |||
|} | |||
<br> | |||
=== State Transition Modeling in Chemical Reaction Networks (JTM and ES) === | |||
{| width=100% border=1 | |||
|- valign=top | |||
| width=50% | | |||
==== Goals ==== | |||
* Develop an enumeration algorithm to find distinct "states" for a chemical reaction network | |||
* Look at transition criteria between states | |||
* Test analysis on simple circuits and biological networks | |||
* Use transition criteria to develop robustness metrics | |||
| | |||
==== Technical Challenges ==== | |||
* Not immediately clear how to classify/cluster output | |||
* Not sure how to deal with continuous relationships vs. more discrete relationships (thresholding?) | |||
* May be useful to use analytical techniques () in addition to blind sampling | |||
|- | |||
| width=50% | | |||
==== Objectives ==== | |||
* Program a library of well-characterized reaction circuits (bi-stable flipflops, oscillators, etc) | |||
* Demonstrate proper time-evolution of circuits via numerical analysis | |||
* Run each circuit with a variety of initial conditions and mid-time-course perturbations | |||
* Cluster end states, evaluate quality of clustering, and match to known circuit behavior | |||
* Measure transition criteria between states | |||
| | |||
==== Approach ==== | |||
* Attempt naive exhausive approach to evaluation - sweep through all plausible initial conditions and cluster results (fuzzy c-means?) | |||
* Attempt theorem/network solver approach to evaluation - sweep through initial conditions and use Bayesian network analysis and/or theorem postulators (eureqa) to enumerate states | |||
|} | |||
= Archive == | |||
== Device Projects == | == Device Projects == | ||
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|} | |} | ||
== | <br> | ||
=== Stoichiometric Protein Expression (JTM) === | |||
{| width=100% border=1 | |||
|- valign=top | |||
| width=50% | | |||
==== Goals ==== | |||
* Design a modular genetic construct that allows proteins to be maintained at a precise relative stoichiometry | |||
** Allowing variable absolute expression, perhaps? | |||
** A faculty member here once said that this might be useful for membrane protein crystallography | |||
| | |||
==== Technical Challenges ==== | |||
* Western blots/ELISA are time-consuming, require certain equipment | |||
* Expression may vary too much for modularity to work | |||
* Variable degradation rates may make this difficult | |||
|-valign=top | |||
| width=50% | | |||
==== Objectives ==== | |||
* Review existing literature | |||
* Investigate gene fusions and degradation control | |||
** Are there paths in degradation that could connect the rate of degradation to expression in a specific way? | |||
** Could some signaling peptide be integrated into the protein such that it's released upon degradation via a non-processive protease? | |||
** For a 1:1 stoichiometry, one could imagine simply fusing the two proteins and then also expressing a protease to separate them after translation | |||
| | |||
==== Approach ==== | |||
* TBD | |||
|} | |||
=== | <br> | ||
=== Use of photoactive proteins to access multiple time-scale control (JTM) === | |||
{| width=100% border=1 | {| width=100% border=1 | ||
|- valign=top | |- valign=top | ||
| width=50% | | | width=50% | | ||
==== Goals ==== | ==== Goals ==== | ||
* | * Photoactive yellow protein (PYP) has multiple states, actuated by light | ||
* | ** Upon being hit by a photon of appropriate energy, a picosecond-scale transition occurs, followed by a millisecond-scale reversible photobleaching, then a second-scale reversion. | ||
** There are fast-recovery and slow-recovery PYPs [ref:http://pubs.acs.org/doi/full/10.1021/bi020690e] | |||
** PYP typically mediates negative phototaxis | |||
* Want to take Ppr-PYP (a PYP attached to a histidine kinase from Rc. centenum) and... | |||
| | | | ||
==== Technical Challenges ==== | ==== Technical Challenges ==== | ||
|- | * TBD | ||
|-valign=top | |||
| width=50% | | | width=50% | | ||
==== Objectives ==== | ==== Objectives ==== | ||
* TBD | |||
| | | | ||
==== Approach ==== | ==== Approach ==== | ||
* TBD | |||
|} | |} | ||
=== | <br> | ||
=== Manipulation of the integral controller in photo/chemotaxis (JTM) === | |||
{| width=100% border=1 | {| width=100% border=1 | ||
|- valign=top | |- valign=top | ||
| width=50% | | | width=50% | | ||
==== Goals ==== | ==== Goals ==== | ||
* | * Substitute heterologous che-like signal transducers between organisms such as H. salinarum, E. coli, and others | ||
* Observe preservation or destruction of integral controller after recombination and after evolution | |||
* TBD | |||
| | | | ||
==== Technical Challenges ==== | ==== Technical Challenges ==== | ||
* | * TBD | ||
|-valign=top | |||
|- | |||
| width=50% | | | width=50% | | ||
==== Objectives ==== | ==== Objectives ==== | ||
* | * Put che-like transducers in mutator plasmid and observe recovery of integral control if damaged after recombination | ||
| | | | ||
==== Approach ==== | ==== Approach ==== | ||
* | * TBD | ||
|} | |} | ||
=== | == Robustness Projects == | ||
=== CAGEN (RMM) === | |||
{| width=100% border=1 | {| width=100% border=1 | ||
|- valign=top | |- valign=top | ||
| width=50% | | | width=50% | | ||
==== Goals ==== | ==== Goals ==== | ||
* | * Design, synthesize and characterize a circuit that provides robust transcriptional regulation | ||
* Win the 2011 [[CAGEN]] competition | |||
* | |||
| | | | ||
==== Technical Challenges ==== | ==== Technical Challenges ==== | ||
|- | |- | ||
| width=50% | | | width=50% | | ||
==== Objectives ==== | ==== Objectives ==== | ||
| | | | ||
==== Approach ==== | ==== Approach ==== | ||
|} | |} |
Latest revision as of 17:39, 1 May 2010
This page contains some GOTChA charts for possible rotation projects in the lab this summer.
Active
Consistent Gene Expression Level (ES and JTM)
Goals
|
Technical Challenges
|
Objectives
|
Approach
|
State Transition Modeling in Chemical Reaction Networks (JTM and ES)
Goals
|
Technical Challenges
|
Objectives
|
Approach
|
Archive =
Device Projects
The following GOTChAs are for projects that involve building new device technologies that can be used to push biological circuit design forward.
Integrated Load and Context Compensation (RMM)
Goals
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Technical Challenges |
Objectives
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Approach |
Fast Mechanisms for Biomolecular Feedback (RMM)
Goals
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Technical Challenges |
Objectives
|
Approach |
Cell Division Tracker (ES)
Goals
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Technical Challenges
|
Objectives
|
Approach
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Stoichiometric Protein Expression (JTM)
Goals
|
Technical Challenges
|
Objectives
|
Approach
|
Use of photoactive proteins to access multiple time-scale control (JTM)
Goals
|
Technical Challenges
|
Objectives
|
Approach
|
Manipulation of the integral controller in photo/chemotaxis (JTM)
Goals
|
Technical Challenges
|
Objectives
|
Approach
|
Robustness Projects
CAGEN (RMM)
Goals
|
Technical Challenges |
Objectives |
Approach |