Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Ramin Norousi , Stephan Wickles , Christoph Leidig , Thomas Becker , Volker J. Schmid , Roland Beckmann , Achim Tresch

Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction are extensively used to reveal structural information on macromolecular complexes. Aiming at the highest achievable resolution, state of the art electron microscopes automatically acquire thousands of high-quality micrographs. Particles are detected on and boxed out from each micrograph using fully- or semi-automated approaches. However, the obtained particles still require laborious manual post-picking classification, which is one major bottleneck for single particle analysis of large datasets. We introduce MAPPOS, a supervised post-picking strategy for the classification of boxed particle images, as additional strategy adding to the already efficient automated particle picking routines. MAPPOS employs machine learning techniques to train a robust classifier from a small number of characteristic image features. In order to accurately quantify the performance of MAPPOS we used simulated particle and non-particle images. In addition, we verified our method by applying it to an experimental cryo-EM dataset and comparing the results to the manual classification of the same dataset. Comparisons between MAPPOS and manual post-picking classification by several human experts demonstrated that merely a few hundred sample images are sufficient for MAPPOS to classify an entire dataset with a human-like performance. MAPPOS was shown to greatly accelerate the throughput of large datasets by reducing the manual workload by orders of magnitude while maintaining a reliable identification of non-particle images.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Aqeel Ahmed , Florence Tama

Cryo-electron microscopy (cryo-EM) can provide low-resolution density maps of large macromolecular assemblies. As the number of structures deposited in the Protein Data Bank by fitting a high-resolution structure into a low-resolution cryo-EM map is increasing, there is a need to revise the protocols and improve the measures for fitting. A recent study suggested using a combination of multiple automated flexible fitting approaches to improve the interpretation of cryo-EM data. The current work further explores the use of multiple approaches by validating this “consensus” fitting approach and deriving a local reliability measure. Here four different flexible fitting approaches are applied for fitting an initial structure into a simulated density map of known target structure from a dataset of proteins. It is found that the models produced from different approaches often have a consensus in conformation and are also near to the target structure, whereas cases not showing consensus are away from the target. A high correlation is also observed between the RMSF profiles calculated with respect to the average and the target structures, which indicates that the relation between consensus and accuracy can also be extended to a per-residue level. Therefore, the RMSF among the fitted models is proposed as a local reliability measure, which can be used to assess the reliability of the fit at specific regions. Hence, we encourage the community to use consensus flexible fitting with different methods to report on local reliability of the resulting models and improve the interpretation of cryo-EM data.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): David Zanuy , Rohith Kotla , Ruth Nussinov , Tambet Teesalu , Kazuki N. Sugahara , Carlos Alemán , Nurit Haspel

Neuropilin-1 (NRP-1) is a hub receptor that plays an essential role in angiogenesis and vascular permeability. It is over-expressed in the new blood vessels grown by tumor cells and is a target for anti-tumor treatments. Peptides that expose the consensus sequence R/K/XXR/K at the C-terminus (C-end rule or CendR peptides) bind to NRP-1 and are internalized into the cell. We used peptide phage display binding assays and molecular dynamics (MD) simulations to study the potential role of the central residues of CendR peptides in binding and activation of the NRP-1 receptor. The high stability of RPAR–receptor domain complex stems from the formation of a characteristic pattern of three hydrogen bonds between the peptide C-terminus and the residues in the NRP-1 loop III. Any changes in the peptide structure that fail to preserve this triad result in a less-stable complex. We performed a systematic study of RXXR mutants, where X =A/D/S/R/P, in order to test the effect of replacement of A or P on the binding capabilities. Our results, both experimental and computational, show that RRAR, RDAR, RPDR, RPRR and RPPR are capable of binding NRP-1. However, only RPPR and RPRR segments form an optimal organization around loop III with low potential energy. In other analogs, the absence of these stabilizing interactions always results in higher potential energy of the complexes. The binding of RPAR analogs does not guarantee receptor activation; only stable complexes that are properly stabilized via loop III appear able to trigger NRP-1 activation.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Stefano Trapani , Jorge Navaza

A general-purpose and simple expression for the coefficients of symmetry adapted functions referred to conveniently oriented symmetry axes is given for all rotational point groups. The expression involves the computation of reduced Wigner-matrix elements corresponding to an angle specific to each group and has the computational advantage of leading to Fourier-space TEM (transmission electron microscopy) reconstruction procedures involving only real valued unknowns. Using this expression, a protocol for ab initio view and center assignment and reconstruction so far used for icosahedral particles has been tested with experimental data in other point groups.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Lingbo Yu , Robert R. Snapp , Teresa Ruiz , Michael Radermacher

When heterogeneous samples of macromolecular assemblies are being examined by 3D electron microscopy (3DEM), often multiple reconstructions are obtained. For example, subtomograms of individual particles can be acquired from tomography, or volumes of multiple 2D classes can be obtained by random conical tilt reconstruction. Of these, similar volumes can be averaged to achieve higher resolution. Volume alignment is an essential step before 3D classification and averaging. Here we present a projection-based volume alignment (PBVA) algorithm. We select a set of projections to represent the reference volume and align them to a second volume. Projection alignment is achieved by maximizing the cross-correlation function with respect to rotation and translation parameters. If data are missing, the cross-correlation functions are normalized accordingly. Accurate alignments are obtained by averaging and quadratic interpolation of the cross-correlation maximum. Comparisons of the computation time between PBVA and traditional 3D cross-correlation methods demonstrate that PBVA outperforms the traditional methods. Performance tests were carried out with different signal-to-noise ratios using modeled noise and with different percentages of missing data using a cryo-EM dataset. All tests show that the algorithm is robust and highly accurate. PBVA was applied to align the reconstructions of a subcomplex of the NADH: ubiquinone oxidoreductase (Complex I) from the yeast Yarrowia lipolytica, followed by classification and averaging.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Christian Dumas , Arie van der Lee , Lukáš Palatinus

Diffractive imaging using the intense and coherent beam of X-ray free-electron lasers opens new perspectives for structural studies of single nanoparticles and biomolecules. Simulations were carried out to generate 3D oversampled diffraction patterns of non-crystalline biological samples, ranging from peptides and proteins to megadalton complex assemblies, and to recover their molecular structure from nanometer to near-atomic resolutions. Using these simulated data, we show here that iterative reconstruction methods based on standard and variant forms of the charge flipping algorithm, can efficiently solve the phase retrieval problem and extract a unique and reliable molecular structure. Contrary to the case of conventional algorithms, where the estimation and the use of a compact support is imposed, our approach does not require any prior information about the molecular assembly, and is amenable to a wide range of biological assemblies. Importantly, the robustness of this ab initio approach is illustrated by the fact that it tolerates experimental noise and incompleteness of the intensity data at the center of the speckle pattern.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Hanspeter Winkler , Kenneth A. Taylor

Dual-axis tilt series in electron tomography are collected by successively tilting the object about two approximately orthogonal tilt axes. Here we report on the extension of marker-free image registration based on cross-correlation techniques to dual-axis tilt series. A simultaneous geometry refinement yields accurate parameters for the computation of the final reconstruction. Both, image registration and 3D-reconstruction operate on the combined data from the paired single axis series rather than computing individual single axis tomograms followed by a separate combination step. We show that with simultaneous registration and reconstruction of dual-axis tilt series, tomograms with higher resolution are obtained than by merging separately computed tomograms.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Zuanning Yuan , Bo Yin , Dongzhi Wei , Yu-ren Adam Yuan

Aldehyde dehydrogenase (ALDH) catalyzes the oxidation of aldehydes to carboxylic acids. Cyanobacterium Synechococcus contains one ALDH enzyme (Sp2771), together with a novel 2-oxoglutarate decarboxylase, to complete a non-canonical tricarboxylic acid cycle. However, the molecular mechanisms for substrate selection and cofactor preference by Sp2771 are largely unknown. Here, we report crystal structures of wild type Sp2771, Sp2771 S419A mutant and ternary structure of Sp2771 C262A mutant in complex with NADP+ and SSA, as well as binary structure of Gluconobacter oxydans aldehyde dehydrogenase (Gox0499) in complex with PEG. Structural comparison of Sp2771 with Gox0499, coupled with mutational analysis, demonstrates that Ser157 residue in Sp2771 and corresponding Pro159 residue in Gox0499 play critical structural roles in determining NADP+ and NAD+ preference for Sp2771 and Gox0499, respectively, whereas size and distribution of hydrophobic residues along the substrate binding funnel determine substrate selection. Hence, our work has provided insightful structural information into cofactor and substrate selection by ALDH.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Sébastien Moniot , Mike Schutkowski , Clemens Steegborn

Sirtuins are NAD+-dependent protein deacetylases that regulate metabolism and aging-related processes. Sirt2 is the only cytoplasmic isoform among the seven mamalian Sirtuins (Sirt1-7) and structural information concerning this isoform is limited. We crystallized Sirt2 in complex with a product analog, ADP-ribose, and solved this first crystal structure of a Sirt2 ligand complex at 2.3Å resolution. Additionally, we re-refined the structure of the Sirt2 apoform and analyzed the conformational changes associated with ligand binding to derive insights into the dynamics of the enzyme. Our analyses also provide information on Sirt2 peptide substrate binding and structural states of a Sirt2-specific protein region, and our insights and the novel Sirt2 crystal form provide helpful tools for the development of Sirt2 specific inhibitors.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Tri-Nhan Nguyen , Dong-Ju You , Hiroyuki Matsumoto , Eiko Kanaya , Yuichi Koga , Shigenori Kanaya

LC11-RNase H1 is a Sulfolobus tokodaii RNase H1 (Sto-RNase H1) homologue isolated by metagenomic approach. In this study, the crystal structure of LC11-RNase H1 in complex with an RNA/DNA substrate was determined. Unlike Bacillus halodurans RNase H1 without hybrid binding domain (HBD) (Bh-RNase HC) and human RNase H1 without HBD (Hs-RNase HC), LC11-RNase H1 interacts with four non-consecutive 2′-OH groups of the RNA strand. The lack of interactions with four consecutive 2′-OH groups leads to a dramatic decrease in the ability of LC11-RNase H1 to cleave the DNA–RNA–DNA/DNA substrate containing four ribonucleotides as compared to those to cleave the substrates containing five and six ribonucleotides. The interaction of LC11-RNase H1 with the DNA strand is also different from those of Bh-RNase HC and Hs-RNase HC. Beside the common phosphate-binding pocket, LC11-RNase H1 has a unique DNA-binding channel. Furthermore, the active-site residues of LC11-RNase H1 are located farther away from the scissile phosphate group than those of Bh-RNase HC and Hs-RNase HC. Modeling of Sto-RNase H1 in complex with the 14bp RNA/DNA substrate, together with the structure-based mutational analyses, suggest that the ability of Sto-RNase H1 to cleave double-stranded RNA is dependent on the local conformation of the basic residues located at the DNA binding site.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Craig Yoshioka , Dmitry Lyumkis , Bridget Carragher , Clinton S. Potter

Electron microscopy (EM) is an important tool for determining the composition, arrangement and structure of biological macromolecules. When studying structurally heterogeneous samples using EM, classification is a critical step toward achieving higher resolution and identifying biologically significant conformations. We have developed an interactive, web-based tool, called Maskiton, for creating custom masks and performing 2D classifications on aligned single-particle EM images. The Maskiton interface makes it considerably easier and faster to explore the significance of heterogeneity in single-particle datasets. Maskiton features include: resumable uploads to facilitate transfer of large datasets to the server, custom mask creation in the browser, continual progress updates, and interactive viewing of classification results. To demonstrate the value of this tool, we provide examples of its use on several experimental datasets and include analyses of the independent terminus mobility within the Ltn1 E3 ubiquitin ligase, the in vitro assembly of 30S ribosomal subunits, and classification complexity reduction within Immunoglobulin M. This work also serves as a proof-of-concept for the development of future cross-platform, interactive user interfaces for electron microscopy data processing.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Beata Jastrzebska , Philippe Ringler , Krzysztof Palczewski , Andreas Engel

Upon illumination the visual receptor rhodopsin (Rho) transitions to the activated form Rho∗, which binds the heterotrimeric G protein, transducin (Gt) causing GDP to GTP exchange and Gt dissociation. Using succinylated concanavalin A (sConA) as a probe, we visualized native Rho dimers solubilized in 1mM n-dodecyl-β-d-maltoside (DDM) and Rho monomers in 5mM DDM. By nucleotide depletion and affinity chromatography together with crosslinking and size exclusion chromatography, we trapped and purified nucleotide-free Rho∗·Gt and sConA-Rho∗·Gt complexes kept in solution by either DDM or lauryl-maltose-neopentyl-glycol (LMNG). The 3 D envelope calculated from projections of negatively stained Rho∗·Gt-LMNG complexes accommodated two Rho molecules, one Gt heterotrimer and a detergent belt. Visualization of triple sConA-Rho∗·Gt complexes unequivocally demonstrated a pentameric assembly of the Rho∗·Gt complex in which the photoactivated Rho∗ dimer serves as a platform for binding the Gt heterotrimer. Importantly, individual monomers of the Rho∗ dimer in the heteropentameric complex exhibited different capabilities for regeneration with either 11-cis or 9-cis-retinal.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Andreas D. Schenk , Ansgar Philippsen , Andreas Engel , Thomas Walz

Electron crystallography of two-dimensional crystals allows the structural study of membrane proteins in their native environment, the lipid bilayer. Determining the structure of a membrane protein at near-atomic resolution by electron crystallography remains, however, a very labor-intense and time-consuming task. To simplify and accelerate the data processing aspect of electron crystallography, we implemented a pipeline for the processing of electron diffraction data using the Image Processing Library and Toolbox (IPLT), which provides a modular, flexible, integrated, and extendable cross-platform, open-source framework for image processing. The diffraction data processing pipeline is organized as several independent modules implemented in Python. The modules can be accessed either from a graphical user interface or through a command line interface, thus meeting the needs of both novice and expert users. The low-level image processing algorithms are implemented in C++ to achieve optimal processing performance, and their interface is exported to Python using a wrapper. For enhanced performance, the Python processing modules are complemented with a central data managing facility that provides a caching infrastructure. The validity of our data processing algorithms was verified by processing a set of aquaporin-0 diffraction patterns with the IPLT pipeline and comparing the resulting merged data set with that obtained by processing the same diffraction patterns with the classical set of MRC programs.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Konstantin V. Korotkov , Wim G.J. Hol

Bacteria contain several sophisticated macromolecular machineries responsible for translocating proteins across the cell envelope. One prominent example is the type II secretion system (T2SS), which contains a large outer membrane channel, called the secretin. These gated channels require specialized proteins, so-called pilotins, to reach and assemble in the outer membrane. Here we report the crystal structure of the pilotin GspS from the T2SS of enterohemorrhagic Escherichia coli (EHEC), an important pathogen that can cause severe disease in cases of food poisoning. In this four-helix protein, the straight helix α2, the curved helix α3 and the bent helix α4 surround the central N-terminal helix α1. The helices of GspS create a prominent groove, mainly formed by side chains of helices α1, α2 and α3. In the EHEC GspS structure this groove is occupied by extra electron density which is reminiscent of an α-helix and corresponds well with a binding site observed in a homologous pilotin. The residues forming the groove are well conserved among homologs, pointing to a key role of this groove in this class of T2SS pilotins. At the same time, T2SS pilotins in different species can be entirely different in structure, and the pilotins for secretins in non-T2SS machineries have yet again unrelated folds, despite a common function. It is striking that a common complex function, such as targeting and assembling an outer membrane multimeric channel, can be performed by proteins with entirely different folds.

Publication date: May 2013
Source:Journal of Structural Biology, Volume 182, Issue 2

Author(s): Kazutaka Murayama , Kota Kano , Yusaku Matsumoto , Daisuke Sugimori

The metal-independent lipase from Streptomyces albidoflavus NA297 (SaPLA1) is a phospholipase A1 as it preferentially hydrolyzes the sn-1 acyl ester in glycerophospholipids, yielding a fatty acid and 2-acyl-lysophospholipid. The molecular mechanism underlying the substrate binding by SaPLA1 is currently unknown. In this study, the crystal structure of SaPLA1 was determined at 1.75Å resolutions by molecular replacement. A structural similarity search indicated the highest structural similarity to an esterase from Streptomyces scabies, followed by GDSL family enzymes. The SaPLA1 active site is composed of a Ser-His dyad (Ser11 and His218), whereby stabilization of the imidazole is provided by the main-chain carbonyl oxygen of Ser216, a common variation of the catalytic triad in many serine hydrolases, where this carbonyl maintains the orientation of the active site histidine residue. The hydrophobic pocket and cleft for lipid binding are adjacent to the active site, and are approximately 13–15Å deep and 14–16Å long. A partial polyethylene glycol structure was found in this hydrophobic pocket.

Publication date: Available online 25 April 2013
Source:Journal of Structural Biology

Author(s): Paul H. Backe , Roger Simm , Jon K. Laerdahl , Bjørn Dalhus , Annette Fagerlund , Ole A. Økstad , Torbjørn Rognes , Ingrun Alseth , Anne-Brit Kolstø , Magnar Bjørås

The recently discovered HEAT-like repeat (HLR) DNA glycosylase superfamily is widely distributed in all domains of life. The present bioinformatics and phylogenetic analysis shows that HLR DNA glycosylase superfamily members in the genus Bacillus form three subfamilies: AlkC, AlkD and AlkF/AlkG. The crystal structure of AlkF shows structural similarity with the DNA glycosylases AlkC and AlkD, however neither AlkF nor AlkG display any DNA glycosylase activity. Instead, both proteins have affinity to branched DNA structures such as three-way and Holliday junctions. A unique β-hairpin in the AlkF/AlkG subfamily is most likely inserted into the DNA major groove, and could be a structural determinant regulating DNA substrate affinity. We conclude that AlkF and AlkG represent a new family of HLR proteins with affinity for branched DNA structures.

Publication date: Available online 18 April 2013
Source:Journal of Structural Biology

Author(s): Wei Zhang , Bärbel Kaufmann , Paul R. Chipman , Richard J. Kuhn , Michael G. Rossmann

Coordinated interplay between membrane proteins and the lipid bilayer is required for such processes as transporter function and the entrance of enveloped viruses into host cells. In this study, three-dimensional cryo-electron microscopy density maps of mature and immature flaviviruses were analyzed to assess the curvature of the membrane leaflets and its relation to membrane-bound viral glycoproteins. The overall morphology of the viral membrane is determined by icosahedral scaffolding composed of envelope (E) and membrane (M) proteins through interaction of the proteins’ stem-anchor regions with the membrane. In localized regions, small membrane regions exhibit convex, concave, flat or saddle-shaped surfaces that are constrained by the specific protein organization within each membrane leaflet. These results suggest that the organization of membrane proteins in small enveloped viruses mediate the formation of membrane curvature.