Classification of Single Particles from Human Cell Extract Reveals Distinct Structures
Multi-protein complexes are necessary for nearly all cellular processes, and understanding their structure is required for elucidating their function. Current high-resolution strategies in structural biology are effective but lag behind other fields (e.g., genomics and proteomics) due to their relia...
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Published in | Cell reports (Cambridge) Vol. 24; no. 1; pp. 259 - 268.e3 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
03.07.2018
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 2211-1247 2211-1247 |
DOI | 10.1016/j.celrep.2018.06.022 |
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Abstract | Multi-protein complexes are necessary for nearly all cellular processes, and understanding their structure is required for elucidating their function. Current high-resolution strategies in structural biology are effective but lag behind other fields (e.g., genomics and proteomics) due to their reliance on purified samples rather than heterogeneous mixtures. Here, we present a method combining single-particle analysis by electron microscopy with protein identification by mass spectrometry to structurally characterize macromolecular complexes from human cell extract. We identify HSP60 through two-dimensional classification and obtain three-dimensional structures of native proteasomes directly from ab initio classification of a heterogeneous mixture of protein complexes. In addition, we reveal an ∼1-MDa-size structure of unknown composition and reference our proteomics data to suggest possible identities. Our study shows the power of using a shotgun approach to electron microscopy (shotgun EM) when coupled with mass spectrometry as a tool to uncover the structures of macromolecular machines.
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•Whole-cell extract can be fractionated and visualized using electron microscopy•Multiple 3D structures can be recovered from fractionated cell extract•Mass spectrometry data can inform on the identity of the resulting 3D structures•Using this method, proteasomes in two different biological states are observed
Verbeke et al. demonstrate a shotgun approach to macromolecular structure determination by combining single-particle electron microscopy with mass spectrometry to reconstruct multiple three-dimensional models in a single experiment. This approach provides a method for investigating the structure and function of cellular machinery in parallel. |
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AbstractList | Multi-protein complexes are necessary for nearly all cellular processes, and understanding their structure is required for elucidating their function. Current high-resolution strategies in structural biology are effective but lag behind other fields (e.g., genomics and proteomics) due to their reliance on purified samples rather than heterogeneous mixtures. Here, we present a method combining single-particle analysis by electron microscopy with protein identification by mass spectrometry to structurally characterize macromolecular complexes from human cell extract. We identify HSP60 through two-dimensional classification and obtain three-dimensional structures of native proteasomes directly from ab initio classification of a heterogeneous mixture of protein complexes. In addition, we reveal an ∼1-MDa-size structure of unknown composition and reference our proteomics data to suggest possible identities. Our study shows the power of using a shotgun approach to electron microscopy (shotgun EM) when coupled with mass spectrometry as a tool to uncover the structures of macromolecular machines.Multi-protein complexes are necessary for nearly all cellular processes, and understanding their structure is required for elucidating their function. Current high-resolution strategies in structural biology are effective but lag behind other fields (e.g., genomics and proteomics) due to their reliance on purified samples rather than heterogeneous mixtures. Here, we present a method combining single-particle analysis by electron microscopy with protein identification by mass spectrometry to structurally characterize macromolecular complexes from human cell extract. We identify HSP60 through two-dimensional classification and obtain three-dimensional structures of native proteasomes directly from ab initio classification of a heterogeneous mixture of protein complexes. In addition, we reveal an ∼1-MDa-size structure of unknown composition and reference our proteomics data to suggest possible identities. Our study shows the power of using a shotgun approach to electron microscopy (shotgun EM) when coupled with mass spectrometry as a tool to uncover the structures of macromolecular machines. Multi-protein complexes are necessary for nearly all cellular processes, and understanding their structure is required for elucidating their function. Current high-resolution strategies in structural biology are effective but lag behind other fields (e.g., genomics and proteomics) due to their reliance on purified samples rather than heterogeneous mixtures. Here, we present a method combining single-particle analysis by electron microscopy with protein identification by mass spectrometry to structurally characterize macromolecular complexes from human cell extract. We identify HSP60 through two-dimensional classification and obtain three-dimensional structures of native proteasomes directly from ab initio classification of a heterogeneous mixture of protein complexes. In addition, we reveal an ∼1-MDa-size structure of unknown composition and reference our proteomics data to suggest possible identities. Our study shows the power of using a shotgun approach to electron microscopy (shotgun EM) when coupled with mass spectrometry as a tool to uncover the structures of macromolecular machines. [Display omitted] •Whole-cell extract can be fractionated and visualized using electron microscopy•Multiple 3D structures can be recovered from fractionated cell extract•Mass spectrometry data can inform on the identity of the resulting 3D structures•Using this method, proteasomes in two different biological states are observed Verbeke et al. demonstrate a shotgun approach to macromolecular structure determination by combining single-particle electron microscopy with mass spectrometry to reconstruct multiple three-dimensional models in a single experiment. This approach provides a method for investigating the structure and function of cellular machinery in parallel. Multi-protein complexes are necessary for nearly all cellular processes, and understanding their structure is required for elucidating their function. Current high-resolution strategies in structural biology are effective but lag behind other fields (e.g., genomics and proteomics) due to their reliance on purified samples rather than heterogeneous mixtures. Here, we present a method combining single-particle analysis by electron microscopy with protein identification by mass spectrometry to structurally characterize macromolecular complexes from human cell extract. We identify HSP60 through two-dimensional classification and obtain three-dimensional structures of native proteasomes directly from ab initio classification of a heterogeneous mixture of protein complexes. In addition, we reveal an ∼1-MDa-size structure of unknown composition and reference our proteomics data to suggest possible identities. Our study shows the power of using a shotgun approach to electron microscopy (shotgun EM) when coupled with mass spectrometry as a tool to uncover the structures of macromolecular machines. Multi-protein complexes are necessary for nearly all cellular processes, and understanding their structure is required for elucidating their function. Current high-resolution strategies in structural biology are effective but lag behind other fields (e.g., genomics and proteomics) due to their reliance on purified samples rather than heterogeneous mixtures. Here, we present a method combining single-particle analysis by electron microscopy with protein identification by mass spectrometry to structurally characterize macromolecular complexes from human cell extract. We identify HSP60 through two-dimensional classification and obtain three-dimensional structures of native proteasomes directly from ab initio classification of a heterogeneous mixture of protein complexes. In addition, we reveal an ∼1-MDa-size structure of unknown composition and reference our proteomics data to suggest possible identities. Our study shows the power of using a shotgun approach to electron microscopy (shotgun EM) when coupled with mass spectrometry as a tool to uncover the structures of macromolecular machines. : Verbeke et al. demonstrate a shotgun approach to macromolecular structure determination by combining single-particle electron microscopy with mass spectrometry to reconstruct multiple three-dimensional models in a single experiment. This approach provides a method for investigating the structure and function of cellular machinery in parallel. Keywords: electron microscopy, structural biology, cellular fractionation, mass spectrometry, deep classification, heterogeneity analysis, protein complexes Multi-protein complexes are necessary for nearly all cellular processes, and understanding their structure is required for elucidating their function. Current high-resolution strategies in structural biology are effective but lag behind other fields (e.g., genomics and proteomics) due to their reliance on purified samples rather than heterogeneous mixtures. Here, we present a method combining single-particle analysis by electron microscopy with protein identification by mass spectrometry to structurally characterize macromolecular complexes from human cell extract. We identify HSP60 through two-dimensional classification and obtain three-dimensional structures of native proteasomes directly from ab initio classification of a heterogeneous mixture of protein complexes. In addition, we reveal an ~1-MDa-size structure of unknown composition and reference our proteomics data to suggest possible identities. Our study shows the power of using a shotgun approach to electron microscopy (shotgun EM) when coupled with mass spectrometry as a tool to uncover the structures of macromolecular machines. Verbeke et al. demonstrate a shotgun approach to macromolecular structure determination by combining single-particle electron microscopy with mass spectrometry to reconstruct multiple three-dimensional models in a single experiment. This approach provides a method for investigating the structure and function of cellular machinery in parallel. |
Author | Drew, Kevin Marcotte, Edward M. Verbeke, Eric J. Mallam, Anna L. Taylor, David W. |
AuthorAffiliation | 5 Lead Contact 2 Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712, USA 1 Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA 3 Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA 4 LIVESTRONG Cancer Institute, Dell Medical School, Austin, TX 78712, USA |
AuthorAffiliation_xml | – name: 3 Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA – name: 1 Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA – name: 2 Center for Systems and Synthetic Biology, University of Texas at Austin, Austin, TX 78712, USA – name: 4 LIVESTRONG Cancer Institute, Dell Medical School, Austin, TX 78712, USA – name: 5 Lead Contact |
Author_xml | – sequence: 1 givenname: Eric J. surname: Verbeke fullname: Verbeke, Eric J. organization: Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA – sequence: 2 givenname: Anna L. surname: Mallam fullname: Mallam, Anna L. organization: Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA – sequence: 3 givenname: Kevin surname: Drew fullname: Drew, Kevin organization: Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA – sequence: 4 givenname: Edward M. surname: Marcotte fullname: Marcotte, Edward M. email: marcotte@icmb.utexas.edu organization: Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA – sequence: 5 givenname: David W. surname: Taylor fullname: Taylor, David W. email: dtaylor@utexas.edu organization: Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA |
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Keywords | deep classification heterogeneity analysis electron microscopy mass spectrometry structural biology protein complexes cellular fractionation |
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SubjectTerms | Cell Extracts - chemistry cellular fractionation deep classification electron microscopy HEK293 Cells heterogeneity analysis Humans Macromolecular Substances - metabolism Macromolecular Substances - ultrastructure mass spectrometry Molecular Weight Proteasome Endopeptidase Complex - metabolism protein complexes Protein Subunits - metabolism structural biology |
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Title | Classification of Single Particles from Human Cell Extract Reveals Distinct Structures |
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