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Driving integrative structural modeling with serial capture affinity purification

delete2020-11-30
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OA
AI
X
Xingyu Liu
张英 cover
张英 (Ying Zhang)
温志辉 cover
温志辉 (Zhihui Wen)
Y
Yan Hao
C
Charles A.S. Banks
J
Jeffrey J. Lange
B
Brian D. Slaughter
J
Jay R. Unruh
L
Laurence Florens
S
Susan M. Abmayr
J
Jerry L. Workman
M
Michael P. Washburn *
DOI:10.1073/pnas.2007931117delete
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Abstract

Abstract

En 中文
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 SNAPtag, 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 Forster 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.
Keywords:
chromatin
epigenetics
integrative structural modeling
cross-linking mass spectrometry
quantitative imaging
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Journal

P
Proceedings of the National Academy of Sciences of the United States of America
IF:
9.1
Papers:
10.8W
Citations:
73.5W

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Stowers Institute for Medical Research cover
Stowers Institute for Medical Research
Scholars:
1.2K
Papers: 893
Citations: 1.3K