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Team:Berkeley/Project/Localization
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| - | We used RFP, GFP, and CFP and our four organelles that could be easily distinguished: the nucleus, vacuolar membrane, cellular periphery, and actin. Our number of MiCodes | + | We used RFP, GFP, and CFP (which show up in red, green, and blue imaging channels, respectively) and our four organelles that could be easily distinguished: the nucleus, vacuolar membrane, cellular periphery, and actin. Our number of MiCodes can by calculated by the function 2^x^y where x represents the number of imaging channels while y represents the number of organelles to which the fluorophores are targeted. With three imaging channels and four organelles, we can create '''4,096'''unique MiCode combinations! |
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<img src="https://static.igem.org/mediawiki/2012/b/b2/Number_of_micodes.png" width="800" class="addborder"> | <img src="https://static.igem.org/mediawiki/2012/b/b2/Number_of_micodes.png" width="800" class="addborder"> | ||
| - | <p align="center">With three | + | <p align="center">With three channels and four organelles, our MiCode set can accommodate up to 4096 members. |
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Revision as of 09:22, 3 October 2012
By localizing fluorescent proteins to specific organelles, each cell can be given a "microscopic barcode", or MiCode. Below you can see a single sample MiCode. Each member of a library will get a unique MiCode, distinguishing it from the rest of the library and tying the MiCode phenotype to a specific genotype.
This example MiCode has four targeted organelles: nucleus-red, vacuolar membrane-red, cellular periphery-blue, actin-green.
Our first main challenge of the summer was to determine which organelles we could easily and distinctly target in order to produce our MiCodes. We referenced the YeastGFP database of global analysis of protein localization studies in the budding yeast, S.cerevisiae, which was put together by the O'Shea and Weissman labs at UCSF. This database consists of microscopy analysis of GFP tagged to every ORF in yeast.
We found proteins that localized to various organelles and PCR'd them off of the genome tagged with fluorescent protein. After analyzing their specific localizations through microscopy, we narrowed our choices hoping to find consistent morphology and geometry.
We chose four organelles from a list of over ten candidates based on the following criteria: (1) there existed targeting sequences in the literature, and (2) this organelle was visibly distinct from the other chosen organelles. The following were our favorites from those we constructed!
Nucleus tagged with Venus. Registry Part:BBa_K900002
Cellular Periphery-We targeted GFP to the cell periphery using a signal sequence derived from the Ras protein, a signal protein located in the cell membrane that activates in response to extracellular signals for growth and differentiation. Registry Part:BBa_K900005
Actin. Registry Part:BBa_K900004
Vacuolar Membrane. Registry Part:BBa_K900003
We used RFP, GFP, and CFP (which show up in red, green, and blue imaging channels, respectively) and our four organelles that could be easily distinguished: the nucleus, vacuolar membrane, cellular periphery, and actin. Our number of MiCodes can by calculated by the function 2^x^y where x represents the number of imaging channels while y represents the number of organelles to which the fluorophores are targeted. With three imaging channels and four organelles, we can create '''4,096'''unique MiCode combinations!
With three channels and four organelles, our MiCode set can accommodate up to 4096 members.
When choosing promoters for our cassettes, we had to find promoters that would make each element of the MiCode visible under the microscope. Furthermore, the promoters would have to adjust for differences in protein abundances and consequently the relative brightness for each localization tag. A portion of our project was to decide on this optimum set of promoters.
Out of the 7000+ promoters in the yeast genome, we decided to experiment with 5 promoters: pTEF1, pTDH3, pRPL18B, pRNR2, and pREV1 - listed from strongest to weakest. These were chosen based on the data from a paper from UCSF (Huh et al, 2003) in which every yeast genome open reading frame was tagged with GFP and observed for protein abundance. The 5 promoters listed above were simply 5 promoters that spanned a reasonable range in promoter strength and were promoters that Dueber lab was already familiar with. The promoter library we created allowed us to systematically compare all 5 promoters. Each yeast strain in the library expressed only one organelle localization tag, with one promoter, and we imaged them all under the same microscope settings. Two modes of image analysis were used for thorough comparison: one with the pixel brightness range set from 0-4095, and another with range 25-1000. The data can be seen here.
To assay their potential use in our project, we characterized the strength of several registry yeast promoters. We wanted to compare their consistency of expression and relative fluorescence, then quantify them against a standard promoter fluorescence. The promoters we used in our assay:
Experimental Design: We designed our promoters to express a fluorescent protein so that we could quickly measure bulk fluorescence via TECAN. To test if downstream sequence affected expression, we cloned the promoter in front of two different fluorescent proteins, yellow fluorescent Venus and red fluorescent mKate in different strains. If expression was sequence-independent, we expected similar fluorescence intensity from both channels. The device was cloned on a backbone with Leu2 marker and Cen6 origin of replication and transformed into S228C S. cerevisiae.
Ideally, we wanted the calibration curve to span several orders of magnitude and exhibit a linear relationship, which was true for all the promoters we characterized except for pCYC1. We collected data for 8 samples per strain; the averaged data that we acquired is shown below:
Calibration curve of fluorescence intensity. Error bars are +/- one standard deviation.
