Driving integrative structural modeling with serial capture affinity purification

Streamlined characterization of protein complexes remains a challenge for the study of protein interaction networks. Here we describe serial capture affinity purification (SCAP), in which two separate proteins are tagged with either the HaloTag or the SNAP-tag, permitting a multistep affinity enrich...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 2020-12, Vol.117 (50), p.31861-31870
Hauptverfasser: Liu, Xingyu, Zhang, Ying, Wen, Zhihui, Hao, Yan, Banks, Charles A. S., Lange, Jeffrey J., Slaughter, Brian D., Unruh, Jay R., Florens, Laurence, Abmayr, Susan M., Workman, Jerry L., Washburn, Michael P.
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Sprache:eng
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Zusammenfassung:Streamlined characterization of protein complexes remains a challenge for the study of protein interaction networks. Here we describe serial capture affinity purification (SCAP), in which two separate proteins are tagged with either the HaloTag or the SNAP-tag, permitting a multistep affinity enrichment of specific protein complexes. The multifunctional capabilities of this protein-tagging system also permit in vivo validation of interactions using acceptor photobleaching Förster resonance energy transfer and fluorescence cross-correlation spectroscopy quantitative imaging. By coupling SCAP to cross-linking mass spectrometry, an integrative structural model of the complex of interest can be generated. We demonstrate this approach using the Spindlin1 and SPINDOC protein complex, culminating in a structural model with two SPINDOC molecules docked on one SPIN1 molecule. In this model, SPINDOC interacts with the SPIN1 interface previously shown to bind a lysine and arginine methylated sequence of histone H3. Our approach combines serial affinity purification, live cell imaging, and cross-linking mass spectrometry to build integrative structural models of protein complexes.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.2007931117