Quantifying the heterogeneity of macromolecular machines by mass photometry

Mass photometry is a label-free optical approach capable of detecting, imaging and accurately measuring the mass of single biomolecules in solution. Here, the authors demonstrate the potential of mass photometry for quantitatively characterizing sample heterogeneity of purified protein complexes wit...

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Autores principales:	Adar Sonn-Segev, Katarina Belacic, Tatyana Bodrug, Gavin Young, Ryan T. VanderLinden, Brenda A. Schulman, Johannes Schimpf, Thorsten Friedrich, Phat Vinh Dip, Thomas U. Schwartz, Benedikt Bauer, Jan-Michael Peters, Weston B. Struwe, Justin L. P. Benesch, Nicholas G. Brown, David Haselbach, Philipp Kukura
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/64c64280b6c2419aa33abdbde3459820
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spelling	oai:doaj.org-article:64c64280b6c2419aa33abdbde34598202021-12-02T14:41:25ZQuantifying the heterogeneity of macromolecular machines by mass photometry10.1038/s41467-020-15642-w2041-1723https://doaj.org/article/64c64280b6c2419aa33abdbde34598202020-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15642-whttps://doaj.org/toc/2041-1723Mass photometry is a label-free optical approach capable of detecting, imaging and accurately measuring the mass of single biomolecules in solution. Here, the authors demonstrate the potential of mass photometry for quantitatively characterizing sample heterogeneity of purified protein complexes with implications for structural studies specifically and in vitro studies more generally.Adar Sonn-SegevKatarina BelacicTatyana BodrugGavin YoungRyan T. VanderLindenBrenda A. SchulmanJohannes SchimpfThorsten FriedrichPhat Vinh DipThomas U. SchwartzBenedikt BauerJan-Michael PetersWeston B. StruweJustin L. P. BeneschNicholas G. BrownDavid HaselbachPhilipp KukuraNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Adar Sonn-Segev Katarina Belacic Tatyana Bodrug Gavin Young Ryan T. VanderLinden Brenda A. Schulman Johannes Schimpf Thorsten Friedrich Phat Vinh Dip Thomas U. Schwartz Benedikt Bauer Jan-Michael Peters Weston B. Struwe Justin L. P. Benesch Nicholas G. Brown David Haselbach Philipp Kukura Quantifying the heterogeneity of macromolecular machines by mass photometry
description	Mass photometry is a label-free optical approach capable of detecting, imaging and accurately measuring the mass of single biomolecules in solution. Here, the authors demonstrate the potential of mass photometry for quantitatively characterizing sample heterogeneity of purified protein complexes with implications for structural studies specifically and in vitro studies more generally.
format	article
author	Adar Sonn-Segev Katarina Belacic Tatyana Bodrug Gavin Young Ryan T. VanderLinden Brenda A. Schulman Johannes Schimpf Thorsten Friedrich Phat Vinh Dip Thomas U. Schwartz Benedikt Bauer Jan-Michael Peters Weston B. Struwe Justin L. P. Benesch Nicholas G. Brown David Haselbach Philipp Kukura
author_facet	Adar Sonn-Segev Katarina Belacic Tatyana Bodrug Gavin Young Ryan T. VanderLinden Brenda A. Schulman Johannes Schimpf Thorsten Friedrich Phat Vinh Dip Thomas U. Schwartz Benedikt Bauer Jan-Michael Peters Weston B. Struwe Justin L. P. Benesch Nicholas G. Brown David Haselbach Philipp Kukura
author_sort	Adar Sonn-Segev
title	Quantifying the heterogeneity of macromolecular machines by mass photometry
title_short	Quantifying the heterogeneity of macromolecular machines by mass photometry
title_full	Quantifying the heterogeneity of macromolecular machines by mass photometry
title_fullStr	Quantifying the heterogeneity of macromolecular machines by mass photometry
title_full_unstemmed	Quantifying the heterogeneity of macromolecular machines by mass photometry
title_sort	quantifying the heterogeneity of macromolecular machines by mass photometry
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/64c64280b6c2419aa33abdbde3459820
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Quantifying the heterogeneity of macromolecular machines by mass photometry

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