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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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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749342/
https://www.ncbi.nlm.nih.gov/pubmed/33257578
http://dx.doi.org/10.1073/pnas.2007931117
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author 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.
author_facet 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.
author_sort Liu, Xingyu
collection PubMed
description 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.
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spelling pubmed-77493422020-12-24 Driving integrative structural modeling with serial capture affinity purification 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. Proc Natl Acad Sci U S A Biological Sciences 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. National Academy of Sciences 2020-12-15 2020-11-30 /pmc/articles/PMC7749342/ /pubmed/33257578 http://dx.doi.org/10.1073/pnas.2007931117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
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.
Driving integrative structural modeling with serial capture affinity purification
title Driving integrative structural modeling with serial capture affinity purification
title_full Driving integrative structural modeling with serial capture affinity purification
title_fullStr Driving integrative structural modeling with serial capture affinity purification
title_full_unstemmed Driving integrative structural modeling with serial capture affinity purification
title_short Driving integrative structural modeling with serial capture affinity purification
title_sort driving integrative structural modeling with serial capture affinity purification
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749342/
https://www.ncbi.nlm.nih.gov/pubmed/33257578
http://dx.doi.org/10.1073/pnas.2007931117
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