Vivek Mutalik, April 2012
Vivek Mutalik will be visiting Caltech on 3 May (Thu).
Schedule
| 7:30a | (optional) Breakfast with Richard and Domitilla (Ath) |
| 9:30a | Michael Elowtiz, 167 Broad |
| 10:15 | Walk to Steele Lab; seminar prep |
| 10:30 | Seminar, Steele Lab library |
| 11:30 | Meeting with Paul Rothemund |
| 12:15 | Lunch: Dan Siegal-Gaskings (+Domitilla?) |
| 1:15 | Shaunak Sen |
| 2:00 | Emzo de los Santos |
| 2:45 | Zachary Sun |
| 3:15 | Open |
| 4:00 | Anu Thubagere |
| 4:45 | Open |
| 5:30 | Depart for airport |
Abstract
Reliably Reuseable Standard Biological Parts
Vivek K Mutalik,PhD
California Institute for Quantitative Biosciences (QB3)
and Berkeley National Lab, Berkeley
3 May (Thu), 10:30-11:30
114 Steele
The process of engineering biology is limited because many natural genetic elements function differently when reused in novel combinations or across changing contexts. Foundational synthetic biology research aims to standardize biological parts in support of more reliable reuse or develop computational methods that optimize individual parts to work within specific contexts. However, the capabilities realized by current methods remain poor. For example, while it is now possible to re-synthesize natural bacterial genomes, best available methods for engineering novel prokaryotic gene expression systems still require experimental validation on a single gene basis.
In this talk, I will present my recent work at the BIOFAB, an initiative that is committed to the proposition that a collection of well-characterized and refined genetic parts will eventually allow us to achieve this goal.In addition to the development of library of promoters (constitutaive and inducible) and terminators, We have devised a method that allows for reliable functional coupling of prokaryotic transcription and translation control elements thereby enabling a reliable expression of genes regardless of local gene context. Our hope is that these well characterized components will aid genetic engineers to achieve their own design goals faster and in a more predictable way.The datasets for these libraries are freely accessible via our BIoFAB registry.
