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|a Baker, David
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|a Massachusetts Institute of Technology. Department of Biology
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|a Massachusetts Institute of Technology. Department of Chemistry
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|a Drennan, Catherine L.
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|a Ting, Alice Y.
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|a Liu, Daniel S.
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|a Yao, Jennifer Z.
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|a Phipps, William S.
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|a Ye, Anne Z.
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|a Goldman, Peter J.
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|a Ting, Alice Y.
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|a Liu, Daniel S.
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|a Nivon, Lucas G.
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|a Richter, Florian
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|a Goldman, Peter J.
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|a Yao, Jennifer Z.
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|a Phipps, William S.
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|a Ye, Anne Z.
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|a Deerinck, Thomas J.
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|a Richardson, Douglas
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|a Ellisman, Mark H.
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|a Drennan, Catherine L
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|a Computational design of a red fluorophore ligase for site-specific protein labeling in living cells
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|b National Academy of Sciences (U.S.),
|c 2015-04-01T15:48:59Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/96304
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|a Chemical fluorophores offer tremendous size and photophysical advantages over fluorescent proteins but are much more challenging to target to specific cellular proteins. Here, we used Rosetta-based computation to design a fluorophore ligase that accepts the red dye resorufin, starting from Escherichia coli lipoic acid ligase. X-ray crystallography showed that the design closely matched the experimental structure. Resorufin ligase catalyzed the site-specific and covalent attachment of resorufin to various cellular proteins genetically fused to a 13-aa recognition peptide in multiple mammalian cell lines and in primary cultured neurons. We used resorufin ligase to perform superresolution imaging of the intermediate filament protein vimentin by stimulated emission depletion and electron microscopies. This work illustrates the power of Rosetta for major redesign of enzyme specificity and introduces a tool for minimally invasive, highly specific imaging of cellular proteins by both conventional and superresolution microscopies.
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|a National Institutes of Health (U.S.) (Grant DP1 OD003961)
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|a National Institutes of Health (U.S.) (R01 GM072670)
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|a American Chemical Society
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|a en_US
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|a Article
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|t Proceedings of the National Academy of Sciences of the United States of America
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