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dc.contributor.authorSonn-Segev, Adar
dc.contributor.authorBelacic, Katarina
dc.contributor.authorBodrug, Tatyana
dc.contributor.authorYoung, Gavin
dc.contributor.authorVanderLinden, Ryan T
dc.contributor.authorSchulman, Brenda A
dc.contributor.authorSchimpf, Johannes
dc.contributor.authorFriedrich, Thorsten
dc.contributor.authorDip, Phat Vinh
dc.contributor.authorSchwartz, Thomas U
dc.contributor.authorBauer, Benedikt
dc.contributor.authorPeters, Jan-Michael
dc.contributor.authorStruwe, Weston B
dc.contributor.authorBenesch, Justin LP
dc.contributor.authorBrown, Nicholas G
dc.contributor.authorHaselbach, David
dc.contributor.authorKukura, Philipp
dc.date.accessioned2021-10-27T20:30:00Z
dc.date.available2021-10-27T20:30:00Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/135933
dc.description.abstract© 2020, The Author(s). Sample purity is central to in vitro studies of protein function and regulation, and to the efficiency and success of structural studies using techniques such as x-ray crystallography and cryo-electron microscopy (cryo-EM). Here, we show that mass photometry (MP) can accurately characterize the heterogeneity of a sample using minimal material with high resolution within a matter of minutes. To benchmark our approach, we use negative stain electron microscopy (nsEM), a popular method for EM sample screening. We include typical workflows developed for structure determination that involve multi-step purification of a multi-subunit ubiquitin ligase and chemical cross-linking steps. When assessing the integrity and stability of large molecular complexes such as the proteasome, we detect and quantify assemblies invisible to nsEM. Our results illustrate the unique advantages of MP over current methods for rapid sample characterization, prioritization and workflow optimization.
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.relation.isversionof10.1038/S41467-020-15642-W
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceNature
dc.titleQuantifying the heterogeneity of macromolecular machines by mass photometry
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biology
dc.relation.journalNature Communications
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-08-02T17:33:14Z
dspace.orderedauthorsSonn-Segev, A; Belacic, K; Bodrug, T; Young, G; VanderLinden, RT; Schulman, BA; Schimpf, J; Friedrich, T; Dip, PV; Schwartz, TU; Bauer, B; Peters, J-M; Struwe, WB; Benesch, JLP; Brown, NG; Haselbach, D; Kukura, P
dspace.date.submission2021-08-02T17:33:17Z
mit.journal.volume11
mit.journal.issue1
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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