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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6109231/ https://www.ncbi.nlm.nih.gov/pubmed/29972786 http://dx.doi.org/10.1016/j.celrep.2018.06.022 |
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author | Verbeke, Eric J. Mallam, Anna L. Drew, Kevin Marcotte, Edward M. Taylor, David W. |
author_facet | Verbeke, Eric J. Mallam, Anna L. Drew, Kevin Marcotte, Edward M. Taylor, David W. |
author_sort | Verbeke, Eric J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6109231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-61092312018-08-25 Classification of Single Particles from Human Cell Extract Reveals Distinct Structures Verbeke, Eric J. Mallam, Anna L. Drew, Kevin Marcotte, Edward M. Taylor, David W. Cell Rep Article 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. 2018-07-03 /pmc/articles/PMC6109231/ /pubmed/29972786 http://dx.doi.org/10.1016/j.celrep.2018.06.022 Text en This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Verbeke, Eric J. Mallam, Anna L. Drew, Kevin Marcotte, Edward M. Taylor, David W. Classification of Single Particles from Human Cell Extract Reveals Distinct Structures |
title | Classification of Single Particles from Human Cell Extract Reveals Distinct Structures |
title_full | Classification of Single Particles from Human Cell Extract Reveals Distinct Structures |
title_fullStr | Classification of Single Particles from Human Cell Extract Reveals Distinct Structures |
title_full_unstemmed | Classification of Single Particles from Human Cell Extract Reveals Distinct Structures |
title_short | Classification of Single Particles from Human Cell Extract Reveals Distinct Structures |
title_sort | classification of single particles from human cell extract reveals distinct structures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6109231/ https://www.ncbi.nlm.nih.gov/pubmed/29972786 http://dx.doi.org/10.1016/j.celrep.2018.06.022 |
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