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Team:Berkeley
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| - | + | Current library screening methods typically discard all information regarding a majority of phenotypes that fail to meet a given threshold. Often, information from phenotypes beyond this threshold is of value—to demonstrate that the library has been fully explored, or to validate models correlating genotype and phenotype. To characterize the entire spectrum of phenotypes with a high-throughput method, we propose to apply microscopy to library screening. This requires a phenotype observable by microscopy connected to a construct genotype. MiCodes (microscopy barcodes) provide a unique phenotypic tag for each library member, which we generated by targeting combinations of fluorophores to several organelles within yeast. MiCodes can potentially scale to library sizes of 1,000,000 or more, using an automatable method to measure many cells in parallel. MiCodes act as a consistent, high throughput technology that connects genetic information to a visible phenotype for each member of the library. | |
| + | Please visit our [[Team:Berkeley/Project|Project page]] for more details! | ||
<!--- The Mission, Experiments ---> | <!--- The Mission, Experiments ---> | ||
Revision as of 17:56, 7 September 2012
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Current library screening methods typically discard all information regarding a majority of phenotypes that fail to meet a given threshold. Often, information from phenotypes beyond this threshold is of value—to demonstrate that the library has been fully explored, or to validate models correlating genotype and phenotype. To characterize the entire spectrum of phenotypes with a high-throughput method, we propose to apply microscopy to library screening. This requires a phenotype observable by microscopy connected to a construct genotype. MiCodes (microscopy barcodes) provide a unique phenotypic tag for each library member, which we generated by targeting combinations of fluorophores to several organelles within yeast. MiCodes can potentially scale to library sizes of 1,000,000 or more, using an automatable method to measure many cells in parallel. MiCodes act as a consistent, high throughput technology that connects genetic information to a visible phenotype for each member of the library.
Please visit our Project page for more details!
