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Covalent protein labeling by SpyTag-SpyCatcher in fixed cells for super-resolution microscopy

Veronica Pessino, Rose Citron, Siyu Feng, Bo Huang
doi: https://doi.org/10.1101/125013
Veronica Pessino
1 Graduate Program of Biophysics, University of California, San Francisco, San Francisco, CA 94143, USA
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Rose Citron
1 Graduate Program of Biophysics, University of California, San Francisco, San Francisco, CA 94143, USA
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Siyu Feng
2 The UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA 94143, USA
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Bo Huang
3 Department Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94143, USA
4 Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94143, USA
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  • For correspondence: bo.huang@ucsf.edu
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Abstract

Labeling proteins with high specificity and efficiency is a fundamental prerequisite for microscopic visualization of subcellular protein structures and interactions. While the comparatively small size of epitope tags makes them less perturbative to fusion proteins, they require the use of large antibodies that often limit probe accessibility and effective resolution. Here we use the covalent SpyTag-SpyCatcher system as an epitope-like tag for fluorescent labeling of intracellular proteins in fixed cells for both conventional and super-resolution microscopy. We have also applied this method to endogenous proteins via gene editing, demonstrating its high labeling efficiency and capability for isoform-specific labeling.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted May 14, 2017.
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Covalent protein labeling by SpyTag-SpyCatcher in fixed cells for super-resolution microscopy
Veronica Pessino, Rose Citron, Siyu Feng, Bo Huang
bioRxiv 125013; doi: https://doi.org/10.1101/125013
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Covalent protein labeling by SpyTag-SpyCatcher in fixed cells for super-resolution microscopy
Veronica Pessino, Rose Citron, Siyu Feng, Bo Huang
bioRxiv 125013; doi: https://doi.org/10.1101/125013

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