MRC2014: Extensions to the MRC format header for electron cryo-microscopy and tomography

Open Access funded by Medical Research CouncilThe MRC binary file format is widely used in the three-dimensional electron microscopy field for storing image and volume data. Files contain a header which describes the kind of data held, together with other important metadata. In response to advances in electron microscopy techniques, a number of variants to the file format have emerged which contain useful additional data, but which limit interoperability between different software packages. Following extensive discussions, the authors, who represent leading software packages in the field, propose a set of extensions to the MRC format standard designed to accommodate these variants, while restoring interoperability. The MRC format is equivalent to the map format used in the CCP4 suite for macromolecular crystallography, and the proposal also maintains interoperability with crystallography software. This Technical Note describes the proposed extensions, and serves as a reference for the standard.We thank Chris Booth and Steffen Meyer from Gatan Inc. for clarifying the format definition used by Digital Micrograph. Acknowledgement for support from National Institute of Health, USA includes: NIGMS grant P41GM103310 (AC and SD), NIBIB grant 5R01-EB005027 (DM), and R01GM080139 (SJL). RH and MW would like to thank the UK Medical Research Council for the award of Partnership Grant MR/J000825/1 to support the establishment of CCP-EM. RH and JS are also supported by MRC grant U105184322

Structure-based vaccine design by electron microscopy

Modern vaccine design relies on multiscale, interdisciplinary efforts that take advantage of innovative technologies such as in silico identification of antigens, high throughput screening of antigen immunogenicity, and gene expression profiling to predict host immune responses. In recent years, structural analysis has played an increasingly important role in vaccine development as a means to improve antigen stability, immunogenicity and large scale production. Transmission electron microscopy (TEM), and in particular cryo-TEM, is an established and powerful imaging technique applicable to many specimens, including the three-dimensional (3D) reconstruction of macromolecules and their associated complexes to high resolution. The technique is parsimonious in its material requirements and captures the specimens in their fully hydrated state, close to their native environment. The resolution of cryo-TEM reconstructions was limited to the subnanometer range until the recent development of direct electron detectors and improvements in image processing software, which has led to a so-called “resolution revolution” in the cryo-TEM field. Several protein structures have now been solved at near atomic resolution, establishing the technique as a viable alternative to X-ray analysis for high resolution structure determination. We have determined several structures with and without bound compounds at 2.9 Å – 3.6 Å resolution, which are being integrated into drug discovery and development workflows by our clients. Here we present the 2.4Å resolution structure of apoferritin determined with our Titan Krios electron microscope as an example of the cryo-TEM services available at NIS. These services are significantly enhanced with unique access by NIS to a new instrument, Spotiton, a robotic device that dispenses picoliter-volumes of sample onto a self-blotting nanowire grid as it flies past en route to vitrification. This provides several advantages over standard vitrification methods, including more automated and reproducible preparation of specimens and reducing the deleterious effects of particles interacting with the air-water interface. While high resolution 3D structure determination by cryo-TEM is at the forefront of structural biology, averages of 2D projection images at moderate resolution in negative stain or vitreous ice can also provide a wealth of information that may be difficult to obtain using other methods. This is illustrated in a number of case studies, including (1) mapping of neutralizing epitopes on the CMV pentameric glycoprotein complex; (2) mapping of neutralizing epitopes on the HIV-1 envelope glycoprotein trimer; (3) assessment of structure and conformational stability of pre- and post-fusion RSV-F protein; (4) characterization of novel adjuvants and protein delivery systems. In summary, both the moderate resolution TEM and high resolution cryo-TEM methods are well suited to extensively characterize antigen structure-function relationships, some of which may be refractory to other experimental methods

Hydrogen bond networks determine emergent mechanical and thermodynamic properties across a protein family

<p>Abstract</p> <p>Background</p> <p>Gram-negative bacteria use periplasmic-binding proteins (bPBP) to transport nutrients through the periplasm. Despite immense diversity within the recognized substrates, all members of the family share a common fold that includes two domains that are separated by a conserved hinge. The hinge allows the protein to cycle between open (apo) and closed (ligated) conformations. Conformational changes within the proteins depend on a complex interplay of mechanical and thermodynamic response, which is manifested as an increase in thermal stability and decrease of flexibility upon ligand binding.</p> <p>Results</p> <p>We use a distance constraint model (DCM) to quantify the give and take between thermodynamic stability and mechanical flexibility across the bPBP family. Quantitative stability/flexibility relationships (QSFR) are readily evaluated because the DCM links mechanical and thermodynamic properties. We have previously demonstrated that QSFR is moderately conserved across a mesophilic/thermophilic RNase H pair, whereas the observed variance indicated that different enthalpy-entropy mechanisms allow similar mechanical response at their respective melting temperatures. Our predictions of heat capacity and free energy show marked diversity across the bPBP family. While backbone flexibility metrics are mostly conserved, cooperativity correlation (long-range couplings) also demonstrate considerable amount of variation. Upon ligand removal, heat capacity, melting point, and mechanical rigidity are, as expected, lowered. Nevertheless, significant differences are found in molecular cooperativity correlations that can be explained by the detailed nature of the hydrogen bond network.</p> <p>Conclusion</p> <p>Non-trivial mechanical and thermodynamic variation across the family is explained by differences within the underlying H-bond networks. The mechanism is simple; variation within the H-bond networks result in altered mechanical linkage properties that directly affect intrinsic flexibility. Moreover, varying numbers of H-bonds and their strengths control the likelihood for energetic fluctuations as H-bonds break and reform, thus directly affecting thermodynamic properties. Consequently, these results demonstrate how unexpected large differences, especially within cooperativity correlation, emerge from subtle differences within the underlying H-bond network. This inference is consistent with well-known results that show allosteric response within a family generally varies significantly. Identifying the hydrogen bond network as a critical determining factor for these large variances may lead to new methods that can predict such effects.</p

Elucidating Protein Thermodynamics from the Three-Dimensional Structure of the Native State Using Network Rigidity

ABSTRACT Given the three-dimensional structure of a protein, its thermodynamic properties are calculated using a recently introduced distance constraint model (DCM) within a mean-field treatment. The DCM is constructed from a free energy decomposition that partitions microscopic interactions into a variety of constraint types, i.e., covalent bonds, salt-bridges, hydrogen-bonds, and torsional-forces, each associated with an enthalpy and entropy contribution. A Gibbs ensemble of accessible microstates is defined by a set of topologically distinct mechanical frameworks generated by perturbing away from the native constraint topology. The total enthalpy of a given framework is calculated as a linear sum of enthalpy components over all constraints present. Total entropy is generally a nonadditive property of free energy decompositions. Here, we calculate total entropy as a linear sum of entropy components over a set of independent constraints determined by a graph algorithm that builds up a mechanical framework one constraint at a time, placing constraints with lower entropy before those with greater entropy. This procedure provides a natural mechanism for enthalpy-entropy compensation. A minimal DCM with five phenomenological parameters is found to capture the essential physics relating thermodynamic response to network rigidity. Moreover, two parameters are fixed by simultaneously fitting to heat capacity curves for histidine binding protein and ubiquitin at five different pH conditions. The three free parameter DCM provides a quantitative characterization of conformational flexibility consistent with thermodynamic stability. It is found that native hydrogen bond topology provides a key signature in governing molecular cooperativity and the folding-unfolding transition