Routine single particle CryoEM sample and grid characterization by tomography

Alex J. Noble(New York Structural Biology Center), Venkata P. Dandey(New York Structural Biology Center), Hui Wei(New York Structural Biology Center), Julia Brasch(New York Structural Biology Center), Jillian Chase(The Graduate Center, CUNY), Priyamvada Acharya(National Institutes of Health), Yong Zi Tan(New York Structural Biology Center), Zhening Zhang(New York Structural Biology Center), Laura Y. Kim(New York Structural Biology Center), Giovanna Scapin(Merck & Co., Inc., Rahway, NJ, USA (United States)), Micah Rapp(New York Structural Biology Center), Edward T. Eng(New York Structural Biology Center), William J. Rice(New York Structural Biology Center), Anchi Cheng(New York Structural Biology Center), Carl J. Negro(New York Structural Biology Center), Lawrence Shapiro(Columbia University), Peter D. Kwong(National Institutes of Health), David Jeruzalmi(The Graduate Center, CUNY), Amédée des Georges(The Graduate Center, CUNY), Clinton S. Potter(New York Structural Biology Center), Bridget Carragher(New York Structural Biology Center)
eLife
May 29, 2018
Cited by 312Open Access
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Abstract

Single particle cryo-electron microscopy (cryoEM) is often performed under the assumption that particles are not adsorbed to the air-water interfaces and in thin, vitreous ice. In this study, we performed fiducial-less tomography on over 50 different cryoEM grid/sample preparations to determine the particle distribution within the ice and the overall geometry of the ice in grid holes. Surprisingly, by studying particles in holes in 3D from over 1000 tomograms, we have determined that the vast majority of particles (approximately 90%) are adsorbed to an air-water interface. The implications of this observation are wide-ranging, with potential ramifications regarding protein denaturation, conformational change, and preferred orientation. We also show that fiducial-less cryo-electron tomography on single particle grids may be used to determine ice thickness, optimal single particle collection areas and strategies, particle heterogeneity, and de novo models for template picking and single particle alignment.


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