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Biomedical subjects

Scott M Stagg

Publications and source records attributed to Scott M Stagg.

9 recordsLinked to original sources

Automated cryoEM data acquisition and analysis of 284742 particles of GroEL.

One of the goals in developing our automated electron microscopy data acquisition system, Leginon, was to improve both the ease of use and the throughput of the process of acquiring low dose images of macromolecular specimens embedded in vitreous ice. In this article, we demonstrate the potential of the Leginon system for high-throughput data acquisition by describing an experiment in which we acquired images of more than 280,000 particles of GroEL in a single 25 h session at the microscope. We also demonstrate the potential for an automated pipeline for molecular microscopy by showing that these particles can be subjected to completely automated procedures to reconstruct a three-dimensional (3D) density map to a resolution better than 8 A. In generating the 3D maps, we used a variety of metadata associated with the data acquisition and processing steps to sort and select the particles. These metadata provide a number of insights into factors that affect the quality of the acquired images and the resulting reconstructions. In particular, we show that the resolution of the reconstructed 3D density maps improves with decreasing ice thickness. These data provide a basis for assessing the capabilities of high-throughput macromolecular microscopy.

Chaperonin 60↗

Structure of the Sec13/31 COPII coat cage.

Endomembranes of eukaryotic cells are dynamic structures that are in continuous communication through the activity of specialized cellular machineries, such as the coat protein complex II (COPII), which mediates cargo export from the endoplasmic reticulum (ER). COPII consists of the Sar1 GTPase, Sec23 and Sec24 (Sec23/24), where Sec23 is a Sar1-specific GTPase-activating protein and Sec24 functions in cargo selection, and Sec13 and Sec31 (Sec13/31), which has a structural role. Whereas recent results have shown that Sec23/24 and Sec13/31 can self-assemble to form COPII cage-like particles, we now show that Sec13/31 can self-assemble to form minimal cages in the absence of Sec23/24. We present a three-dimensional reconstruction of these Sec13/31 cages at 30 A resolution using cryo-electron microscopy and single particle analysis. These results reveal a novel cuboctahedron geometry with the potential to form a flexible lattice and to generate a diverse range of containers. Our data are consistent with a model for COPII coat complex assembly in which Sec23/24 has a non-structural role as a multivalent ligand localizing the self-assembly of Sec13/31 to form a cage lattice driving ER cargo export.

Animals↗

The COPII cage: unifying principles of vesicle coat assembly.

Communication between compartments of the exocytic and endocytic pathways in eukaryotic cells involves transport carriers - vesicles and tubules - that mediate the vectorial movement of cargo. Recent studies of transport-carrier formation in the early secretory pathway have provided new insights into the mechanisms of cargo selection by coat protein complex-II (COPII) adaptor proteins, the construction of cage-protein scaffolds and fission. These studies are beginning to produce a unifying molecular and structural model of coat function in the formation and fission of vesicles and tubules in endomembrane traffic.

Animals↗

Exploring the flexibility of ribosome recycling factor using molecular dynamics.

Ribosome recycling factor is proposed to be flexible, and that flexibility is believed to be important to its function. Here we use molecular dynamics to test the flexibility of Escherichia coli RRF (ecRRF) with and without decanoic acid bound to a hydrophobic pocket between domains 1 and 2, and Thermus thermophilus RRF (ttRRF) with and without a mutation in the hinge between domains 1 and 2. Our simulations show that the structure of ecRRF rapidly goes from having an interdomain angle of 124 degrees to an angle of 98 degrees independently of the presence of decanoic acid. The simulations also show that the presence or absence of decanoic acid leads to changes in ecRRF flexibility. Simulations of wild-type and mutant ttRRF (R32G) show that mutating Arg-32 to glycine decreases RRF flexibility. This was unexpected because the range of dihedral angles for arginine is limited relative to glycine. Furthermore, the interdomain angle of wild-type T. thermophilus goes from 81 degrees to 118 degrees whereas the R32G mutant remains very close to the crystallographic angle of 78 degrees . We propose that this difference accounts for the fact that mutant ttRRF complements an RRF deficient strain of E. coli whereas wild-type ttRRF does not. When the ensemble of RRF structures is modeled into the ribosomal crystal structure, a series of overlaps is found that corresponds with regions where conformational changes have been found in the cryoelectron microscopic structure of the RRF/ribosome complex, and in the crystal structure of a cocomplex of RRF with the 50S subunit. There are also overlaps with the P-site, suggesting that RRF flexibility plays a role in removing the deacylated P-site tRNA during termination of translation.

Binding Sites↗

Incorporation of aminoacyl-tRNA into the ribosome as seen by cryo-electron microscopy.

Aminoacyl-tRNAs (aa-tRNAs) are delivered to the ribosome as part of the ternary complex of aa-tRNA, elongation factor Tu (EF-Tu) and GTP. Here, we present a cryo-electron microscopy (cryo-EM) study, at a resolution of approximately 9 A, showing that during the incorporation of the aa-tRNA into the 70S ribosome of Escherichia coli, the flexibility of aa-tRNA allows the initial codon recognition and its accommodation into the ribosomal A site. In addition, a conformational change observed in the GTPase-associated center (GAC) of the ribosomal 50S subunit may provide the mechanism by which the ribosome promotes a relative movement of the aa-tRNA with respect to EF-Tu. This relative rearrangement seems to facilitate codon recognition by the incoming aa-tRNA, and to provide the codon-anticodon recognition-dependent signal for the GTPase activity of EF-Tu. From these new findings we propose a mechanism that can explain the sequence of events during the decoding of mRNA on the ribosome.

Cryoelectron Microscopy↗

Study of the structural dynamics of the E coli 70S ribosome using real-space refinement.

Cryo-EM density maps showing the 70S ribosome of E. coli in two different functional states related by a ratchet-like motion were analyzed using real-space refinement. Comparison of the two resulting atomic models shows that the ribosome changes from a compact structure to a looser one, coupled with the rearrangement of many of the proteins. Furthermore, in contrast to the unchanged inter-subunit bridges formed wholly by RNA, the bridges involving proteins undergo large conformational changes following the ratchet-like motion, suggesting an important role of ribosomal proteins in facilitating the dynamics of translation.

Bacterial Proteins↗

A structural model for the assembly of the 30S subunit of the ribosome.

The order in which proteins bind to 16S rRNA, the assembly map, was determined by Nomura and co-workers in the early 1970s. The assembly map shows the dependencies of binding of successive proteins but fails to address the relationship of these dependencies to the three-dimensional folding of the ribosome. Here, using molecular mechanics techniques, we rationalize the order of protein binding in terms of ribosomal folding. We determined the specific contacts between the ribosomal proteins and 16S rRNA from a crystal structure of the 30S subunit (1FJG). We then used these contacts as restraints in a rigid body Monte-Carlo simulation with reduced-representation models of the RNA and proteins. Proteins were added sequentially to the RNA in the order that they appear in the assembly map. Our results show that proteins nucleate the folding of the head, platform, and body domains, but they do not strongly restrict the orientations of the domains relative to one another. We also examined the contributions of individual proteins to the formation of binding sites for sequential proteins in the assembly process. Binding sites for the primary binding proteins are generally more ordered in the naked RNA than those for other proteins. Furthermore, we examined one pathway in the assembly map and found that the addition of early binding proteins helps to organize the RNA around the binding sites of proteins that bind later. It appears that the order of assembly depends on the degree of pre-organization of each protein's binding site at a given stage of assembly, and the impact that the binding of each protein has on the organization of the remaining unoccupied binding sites.

Binding Sites↗

Modeling a minimal ribosome based on comparative sequence analysis.

We have determined the three-dimensional organization of ribosomal RNAs and proteins essential for minimal ribosome function. Comparative sequence analysis identifies regions of the ribosome that have been evolutionarily conserved, and the spatial organization of conserved domains is determined by mapping these onto structures of the 30S and 50S subunits determined by X-ray crystallography. Several functional domains of the ribosome are conserved in their three-dimensional organization in the Archaea, Bacteria, Eucaryotic nuclear, mitochondria and chloroplast ribosomes. In contrast, other regions from both subunits have shifted their position in three-dimensional space during evolution, including the L11 binding domain and the alpha-sarcin-ricin loop (SRL). We examined conserved bridge interactions between the two ribosomal subunits, giving an indication of which contacts are more significant. The tRNA contacts that are conserved were also determined, highlighting functional interactions as the tRNA moves through the ribosome during protein synthesis. To augment these studies of a large collection of comparative structural models sampled from all major branches on the phylogenetic tree, Caenorhabditis elegans mitochondrial rRNA is considered individually because it is among the smallest rRNA sequences known. The C.elegans model supports the large collection of comparative structure models while providing insight into the evolution of mitochondrial ribosomes.

Animals↗