Quantifying the heterogeneity of macromolecular machines by mass photometry

Adar Sonn-Segev(University of Oxford), Katarina Belačić(Research Institute of Molecular Pathology), Tatyana Bodrug(University of North Carolina at Chapel Hill), Gavin Young(University of Oxford), Ryan T. VanderLinden(St. Jude Children's Research Hospital), Brenda A. Schulman(St. Jude Children's Research Hospital), Johannes Schimpf(University of Freiburg), Thorsten Friedrich(University of Freiburg), Phat Vinh Dip(Massachusetts Institute of Technology), Thomas Schwartz(Massachusetts Institute of Technology), Benedikt Bauer(Research Institute of Molecular Pathology), Jan‐Michael Peters(Research Institute of Molecular Pathology), Weston B. Struwe(University of Oxford), Justin L. P. Benesch(University of Oxford), Nicholas G. Brown(University of North Carolina at Chapel Hill), David Haselbach(Research Institute of Molecular Pathology), Philipp Kukura(University of Oxford)
Nature Communications
April 14, 2020
Cited by 230Open Access
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Abstract

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.


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