Kinetic and Structural Characterization of the Self-Labeling Protein Tags HaloTag7, SNAP-tag, and CLIP-tag

  • Biochemistry. 2021 Aug 24;60(33):2560-2575. doi: 10.1021/acs.biochem.1c00258.
Jonas Wilhelm  1 Stefanie Kühn  1 Miroslaw Tarnawski  2 Guillaume Gotthard  3 Jana Tünnermann  1 Timo Tänzer  4 Julie Karpenko  4 Nicole Mertes  1 Lin Xue  1 Ulrike Uhrig  5 Jochen Reinstein  6 Julien Hiblot  1  4 Kai Johnsson  1  4
Affiliations
  • 1. Department of Chemical Biology, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.
  • 2. Protein Expression and Characterization Facility, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.
  • 3. Structural Biology Group, European Synchrotron Radiation Facility (ESRF), 38043 Grenoble, France.
  • 4. Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
  • 5. Chemical Biology Core Facility, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
  • 6. Department of Biomolecular Mechanisms, Max Planck Institute for Medical Research, 69120 Heidelberg, Germany.
Abstract

The self-labeling protein tags (SLPs) HaloTag7, SNAP-tag, and CLIP-tag allow the covalent labeling of fusion proteins with synthetic molecules for applications in bioimaging and biotechnology. To guide the selection of an SLP-substrate pair and provide guidelines for the design of substrates, we report a systematic and comparative study of the labeling kinetics and substrate specificities of HaloTag7, SNAP-tag, and CLIP-tag. HaloTag7 reaches almost diffusion-limited labeling rate constants with certain rhodamine substrates, which are more than 2 orders of magnitude higher than those of SNAP-tag for the corresponding substrates. SNAP-tag labeling rate constants, however, are less affected by the structure of the label than those of HaloTag7, which vary over 6 orders of magnitude for commonly employed substrates. Determining the crystal structures of HaloTag7 and SNAP-tag labeled with fluorescent substrates allowed us to rationalize their substrate preferences. We also demonstrate how these insights can be exploited to design substrates with improved labeling kinetics.

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