Back to Search Start Over

Driving integrative structural modeling with serial capture affinity purification.

Authors :
Liu X
Zhang Y
Wen Z
Hao Y
Banks CAS
Lange JJ
Slaughter BD
Unruh JR
Florens L
Abmayr SM
Workman JL
Washburn MP
Source :
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2020 Dec 15; Vol. 117 (50), pp. 31861-31870. Date of Electronic Publication: 2020 Nov 30.
Publication Year :
2020

Abstract

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.<br />Competing Interests: The authors declare no competing interest.<br /> (Copyright © 2020 the Author(s). Published by PNAS.)

Details

Language :
English
ISSN :
1091-6490
Volume :
117
Issue :
50
Database :
MEDLINE
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
33257578
Full Text :
https://doi.org/10.1073/pnas.2007931117