Single-Molecule Analysis beyond Dwell Times: Demonstration and Assessment in and out of Equilibrium.

We present a simple and robust technique for extracting kinetic rate models and thermodynamic quantities from single-molecule time traces. Single-molecule analysis of complex kinetic sequences (SMACKS) is a maximum-likelihood approach that resolves all statistically relevant rates and also their uncertainties. This is achieved by optimizing one global kinetic model based on the complete data set while allowing for experimental variations between individual trajectories. In contrast to dwell-time analysis, which is the current standard method, SMACKS includes every experimental data point, not only dwell times. As a result, it works as well for long trajectories as for an equivalent set of short ones. In addition, the previous systematic overestimation of fast over slow rates is solved. We demonstrate the power of SMACKS on the kinetics of the multidomain protein Hsp90 measured by single-molecule Förster resonance energy transfer. Experiments in and out of equilibrium are analyzed and compared to simulations, shedding new light on the role of Hsp90's ATPase function. SMACKS resolves accurate rate models even if states cause indistinguishable signals. Thereby, it pushes the boundaries of single-molecule kinetics beyond those of current methods.

Shedding light on the expansion and diversification of the Cdc48 protein family during the rise of the eukaryotic cell.

BACKGROUND: A defining feature of eukaryotic cells is the presence of various distinct membrane-bound compartments with different metabolic roles. Material exchange between most compartments occurs via a sophisticated vesicle trafficking system. This intricate cellular architecture of eukaryotes appears to have emerged suddenly, about 2 billion years ago, from much less complex ancestors. How the eukaryotic cell acquired its internal complexity is poorly understood, partly because no prokaryotic precursors have been found for many key factors involved in compartmentalization. One exception is the Cdc48 protein family, which consists of several distinct classical ATPases associated with various cellular activities (AAA+) proteins with two consecutive AAA domains. RESULTS: Here, we have classified the Cdc48 family through iterative use of hidden Markov models and tree building. We found only one type, Cdc48, in prokaryotes, although a set of eight diverged members that function at distinct subcellular compartments were retrieved from eukaryotes and were probably present in the last eukaryotic common ancestor (LECA). Pronounced changes in sequence and domain structure during the radiation into the LECA set are delineated. Moreover, our analysis brings to light lineage-specific losses and duplications that often reflect important biological changes. Remarkably, we also found evidence for internal duplications within the LECA set that probably occurred during the rise of the eukaryotic cell. CONCLUSIONS: Our analysis corroborates the idea that the diversification of the Cdc48 family is closely intertwined with the development of the compartments of the eukaryotic cell.

Unique double-ring structure of the peroxisomal Pex1/Pex6 ATPase complex revealed by cryo-electron microscopy.

Members of the AAA family of ATPases assemble into hexameric double rings and perform vital functions, yet their molecular mechanisms remain poorly understood. Here, we report structures of the Pex1/Pex6 complex; mutations in these proteins frequently cause peroxisomal diseases. The structures were determined in the presence of different nucleotides by cryo-electron microscopy. Models were generated using a computational approach that combines Monte Carlo placement of structurally homologous domains into density maps with energy minimization and refinement protocols. Pex1 and Pex6 alternate in an unprecedented hexameric double ring. Each protein has two N-terminal domains, N1 and N2, structurally related to the single N domains in p97 and N-ethylmaleimide sensitive factor (NSF); N1 of Pex1 is mobile, but the others are packed against the double ring. The N-terminal ATPase domains are inactive, forming a symmetric D1 ring, whereas the C-terminal domains are active, likely in different nucleotide states, and form an asymmetric D2 ring. These results suggest how subunit activity is coordinated and indicate striking similarities between Pex1/Pex6 and p97, supporting the hypothesis that the Pex1/Pex6 complex has a role in peroxisomal protein import analogous to p97 in ER-associated protein degradation.

Tension on the linker gates the ATP-dependent release of dynein from microtubules.

Cytoplasmic dynein is a dimeric motor that transports intracellular cargoes towards the minus end of microtubules (MTs). In contrast to other processive motors, stepping of the dynein motor domains (heads) is not precisely coordinated. Therefore, the mechanism of dynein processivity remains unclear. Here, by engineering the mechanical and catalytic properties of the motor, we show that dynein processivity minimally requires a single active head and a second inert MT-binding domain. Processivity arises from a high ratio of MT-bound to unbound time, and not from interhead communication. In addition, nucleotide-dependent microtubule release is gated by tension on the linker domain. Intramolecular tension sensing is observed in dynein's stepping motion at high interhead separations. On the basis of these results, we propose a quantitative model for the stepping characteristics of dynein and its response to chemical and mechanical perturbation.

Computer simulation of assembly and co-operativity of hexameric AAA ATPases.

AAA ATPases form a functionally diverse superfamily of proteins. Most members form homo-hexameric ring complexes, are catalytically active only in the fully assembled state, and show co-operativity among the six subunits. The mutual dependence among the subunits is clearly evidenced by the fact that incorporation of mutated, inactive subunits can decrease the activity of the remaining wild type subunits. For the first time, we develop here models to describe this form of allostery, evaluate them in a simulation study, and test them on experimental data. We show that it is important to consider the assembly reactions in the kinetic model, and to define a formal inhibition scheme. We simulate three inhibition scenarios explicitly, and demonstrate that they result in differing outcomes. Finally, we deduce fitting formulas, and test them on real and simulated data. A non-competitive inhibition formula fitted experimental and simulated data best. To our knowledge, our study is the first one that derives and tests formal allosteric schemes to explain the inhibitory effects of mutant subunits on oligomeric enzymes.

In silico identification and characterization of the ion transport specificity for P-type ATPases in the Mycobacterium tuberculosis complex.

BACKGROUND: P-type ATPases hydrolyze ATP and release energy that is used in the transport of ions against electrochemical gradients across plasma membranes, making these proteins essential for cell viability. Currently, the distribution and function of these ion transporters in mycobacteria are poorly understood. RESULTS: In this study, probabilistic profiles were constructed based on hidden Markov models to identify and classify P-type ATPases in the Mycobacterium tuberculosis complex (MTBC) according to the type of ion transported across the plasma membrane. Topology, hydrophobicity profiles and conserved motifs were analyzed to correlate amino acid sequences of P-type ATPases and ion transport specificity. Twelve candidate P-type ATPases annotated in the M. tuberculosis H37Rv proteome were identified in all members of the MTBC, and probabilistic profiles classified them into one of the following three groups: heavy metal cation transporters, alkaline and alkaline earth metal cation transporters, and the beta subunit of a prokaryotic potassium pump. Interestingly, counterparts of the non-catalytic beta subunits of Hydrogen/Potassium and Sodium/Potassium P-type ATPases were not found. CONCLUSIONS: The high content of heavy metal transporters found in the MTBC suggests that they could play an important role in the ability of M. tuberculosis to survive inside macrophages, where tubercle bacilli face high levels of toxic metals. Finally, the results obtained in this work provide a starting point for experimental studies that may elucidate the ion specificity of the MTBC P-type ATPases and their role in mycobacterial infections.

Disparity in the DNA translocase domains of SWI/SNF and ISW2.

An ATP-dependent DNA translocase domain consisting of seven conserved motifs is a general feature of all ATP-dependent chromatin remodelers. While motifs on the ATPase domains of the yeast SWI/SNF and ISWI families of remodelers are highly conserved, the ATPase domains of these complexes appear not to be functionally interchangeable. We found one reason that may account for this is the ATPase domains interact differently with nucleosomes even though both associate with nucleosomal DNA 17-18 bp from the dyad axis. The cleft formed between the two lobes of the ISW2 ATPase domain is bound to nucleosomal DNA and Isw2 associates with the side of nucleosomal DNA away from the histone octamer. The ATPase domain of SWI/SNF binds to the same region of nucleosomal DNA, but is bound outside of the cleft region. The catalytic subunit of SWI/SNF also appears to intercalate between the DNA gyre and histone octamer. The altered interactions of SWI/SNF with DNA are specific to nucleosomes and do not occur with free DNA. These differences are likely mediated through interactions with the histone surface. The placement of SWI/SNF between the octamer and DNA could make it easier to disrupt histone-DNA interactions.

Assessment of the morphology of mixed SAMs on Au nanoparticles using a fluorescent probe.

The distribution of thiols in mixed SAMs can be determined in a straightforward manner from spectrophotometric titrations using a fluorescent probe. A plot of saturation concentration as a function of mole fraction provides information on the number of headgroups involved in binding.

High-throughput measurements of biochemical responses using the plate::vision multimode 96 minilens array reader.

The plate::vision is a high-throughput multimode reader capable of reading absorbance, fluorescence, fluorescence polarization, time-resolved fluorescence, and luminescence. Its performance has been shown to be quite comparable with other readers. When the reader is integrated into the plate::explorer, an ultrahigh-throughput screening system with event-driven software and parallel plate-handling devices, it becomes possible to run complicated assays with kinetic readouts in high-density microtiter plate formats for high-throughput screening. For the past 5 years, we have used the plate::vision and the plate::explorer to run screens and have generated more than 30 million data points. Their throughput, performance, and robustness have speeded up our drug discovery process greatly.

Modeling AAA+ ring complexes from monomeric structures.

AAA+ proteins form large, ring-shaped complexes, which act as energy-dependent unfoldases of macromolecules. Many crystal structures of proteins in this superfamily have been determined, but mostly in monomeric or non-physiological oligomeric forms. The assembly of ring-shaped complexes from monomer coordinates is, therefore, of considerable interest. We have extracted structural features of complex formation relating to the distance of monomers from the central axis, their relative orientation and the molecular contacts at their interfaces from experimentally determined oligomers and have implemented a semi-automated modeling procedure based on RosettaDock into the iMolTalk server (http://protevo.eb.tuebingen.mpg.de/iMolTalk). As examples of this procedure, we present here models of Apaf-1, MalT and ClpB. We show that the recent EM-based model of the apoptosome is not compatible with the conserved structural features of AAA+ complexes and that the D1 and D2 rings of ClpB are most likely offset by one subunit, in agreement with the structure proposed for ClpA.

Hydrolysis of ATP by aminoglycoside 3'-phosphotransferases: an unexpected cost to bacteria for harboring an antibiotic resistance enzyme.

Aminoglycoside 3'-phosphotransferases (APH(3')s) are common bacterial resistance enzymes to aminoglycoside antibiotics. These enzymes transfer the gamma-phosphoryl group of ATP to the 3'-hydroxyl of the antibiotics, whereby the biological activity of the drugs is lost. Pre-steady-state and steady-state kinetics with two of these enzymes from Gram-negative bacteria, APH(3')-Ia and APH(3')-IIa, were performed. It is demonstrated that these enzymes in both ternary and binary complexes facilitate an ATP hydrolase activity (ATPase), which is competitive with the transfer of phosphate to the antibiotics. Because these enzymes are expressed constitutively in resistant bacteria, the turnover of ATP is continuous during the lifetime of the organism both in the absence and the presence of aminoglycosides. Concentrations of the enzyme in vivo were determined, and it was estimated that in a single generation of bacterial growth there exists the potential that this activity would consume as much as severalfold of the total existing ATP. Studies with bacteria harboring the aph(3')-Ia gene revealed that bacteria are able to absorb the cost of this ATP turnover, as ATP is recycled. However, the cost burden of this adventitious activity manifests a selection pressure against maintenance of the plasmids that harbor the aph(3')-Ia gene, such that approximately 50% of the plasmid is lost in 1500 bacterial generations in the absence of antibiotics. The implication is that, in the absence of selection, bacteria harboring an enzyme that catalyzes the consumption of key metabolites could experience the loss of the plasmid that encodes for the given enzyme.

Functional assessment of the carboxy-terminus of the Wilson disease copper-transporting ATPase, ATP7B.

The carboxy-terminus of ATP7B, the protein defective in the copper-transport disorder Wilson disease, was investigated with respect to its role in copper delivery to the ferroxidase ceruloplasmin. We use yeast as a model system to assess the functional capabilities of ATP7B variants. The yeast ferroxidase, Fet3p, acquires copper from Ccc2p and cannot function if Ccc2p is impaired; expression of wild-type ATP7B in ccc2 yeast complements the iron-deficient phenotype. Our results demonstrate that the C-terminus of ATP7B is necessary for protein stability, as removal of the nonmembranous terminus leads to reduced protein levels and cessation of growth in iron-limited medium. Growth is partially restored when an additional three amino acids are present and is near wild-type levels when only one-third of the C-terminus is present. Measurement of ferroxidase activity is a more sensitive indicator of copper transport function and allowed identification of impaired variants not detected with the growth assay.

An assessment of the biochemical applications of the non-ionic surfactant Hecameg.

A number of properties and effects of the novel non-ionic detergent Hecameg (6-O-(N-heptylcarbamoyl)-methyl-alpha-D-glucopyranoside) have been examined in view of its possible biochemical applications. In particular, its critical micellar concentration has been measured, and its effects on pure lipid membranes, soluble and membrane-bound enzymes have been recorded. Hecameg has some advantageous and some less advantageous properties; its relatively high critical micellar concentration (16.5 mM), almost insensitive to pH or ionic strength changes, makes it suitable for reconstitution procedures in which detergent must be removed by dialysis. It is also an effective lipid-solubilizing agent, producing leakage of vesicle contents at detergent concentrations well below the solubilizing range. Among the drawbacks, the presence of an amide group in the molecule may interfere with the protein amide group in spectroscopic measurements. It also appears to be less gentle than other nonionic surfactants towards certain enzyme activities.