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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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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. |
format | Online Article Text |
id | pubmed-7749342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
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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