Routine determination of ice thickness for cryo-EM grids

Recent advances in instrumentation and automation have made cryo-EM a popular method for producing near-atomic resolution structures of a variety of proteins and complexes. Sample preparation is still a limiting factor in collecting high quality data. Thickness of the vitreous ice in which the particles are embedded is one of the many variables that need to be optimized for collection of the highest quality data. Here we present two methods, using either an energy filter or scattering outside the objective aperture, to measure ice thickness for potentially every image collected. Unlike geometrical or tomographic methods, these can be implemented directly in the single particle collection workflow without interrupting or significantly slowing down data collection. We describe the methods as implemented into the Leginon/Appion data collection workflow, along with some examples from test cases. Routine monitoring of ice thickness should prove helpful for optimizing sample preparation, data collection, and data processing.

Routine single particle CryoEM sample and grid characterization by tomography

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.

Nuclear localization of aldolase A in pig cardiomyocytes

The subcellular localization of the muscle aldolase (aldolase A) in cardiomyocytes was determined immunocytochemically by light and electron microscopy. The enzyme was localized in the cytoplasm and also in cardiomyocyte nuclei. Inside the nuclei it was preferentially localized in the heterochromatin region. The nuclear localization was confirmed by the measurement of aldolase activity in subcellular fractions of a heart muscle, and in isolated nuclei of cardiomyocytes. There was no detectable aldolase activity in isolated cardiomyocyte nuclei fractions if the fraction was not preincubated with a solution containing Triton X-100 and KCl. The calculated concentration of aldolase in the nucleus was about 0.6 micro M. This paper is the first report on the localization of aldolase A inside cardiomyocyte nuclei.

Colocalization of muscle FBPase and muscle aldolase on both sides of the Z-line

Previously we have reported that in vitro muscle aldolase binds to muscle FBPase [Biochem. Biophys. Res. Commun. 275 (2000) 611-616] which results in the changes of regulatory properties of the latter enzyme. In the present paper, the evidence that aldolase binds to FBPase in living cell is presented. The colocalization experiment, in which aldolase was diffused into skinned fibres that had been pre-incubated with FBPase, has shown that aldolase in the presence of FBPase binds predominantly to the Z-line. The existence of a triple aldolase-FBPase-alpha-actinin complex was confirmed through a real-time interaction analysis using the BIAcore biosensor. The colocalization of FBPase and aldolase on alpha-actinin of the Z-line indicates the existence of glyconeogenic metabolon in vertebrates' myocytes.