Worm-like Ising model for protein mechanical unfolding under the effect of osmolytes.

We show via single-molecule mechanical unfolding experiments that the osmolyte glycerol stabilizes the native state of the human cardiac I27 titin module against unfolding without shifting its unfolding transition state on the mechanical reaction coordinate. Taken together with similar findings on the immunoglobulin-binding domain of streptococcal protein G (GB1), these experimental results suggest that osmolytes act on proteins through a common mechanism that does not entail a shift of their unfolding transition state. We investigate the above common mechanism via an Ising-like model for protein mechanical unfolding that adds worm-like-chain behavior to a recent generalization of the Wako-Saitô-Muñoz-Eaton model with support for group-transfer free energies. The thermodynamics of the model are exactly solvable, while protein kinetics under mechanical tension can be simulated via Monte Carlo algorithms. Notably, our force-clamp and velocity-clamp simulations exhibit no shift in the position of the unfolding transition state of GB1 and I27 under the effect of various osmolytes. The excellent agreement between experiment and simulation strongly suggests that osmolytes do not assume a structural role at the mechanical unfolding transition state of proteins, acting instead by adjusting the solvent quality for the protein chain analyte.

Open source platform for the execution and analysis of mechanical refolding experiments.

MOTIVATION: Single-molecule force spectroscopy has facilitated the experimental investigation of biomolecular force-coupled kinetics, from which the kinetics at zero force can be extrapolated via explicit theoretical models. The atomic force microscope (AFM) in particular is routinely used to study protein unfolding kinetics, but only rarely protein folding kinetics. The discrepancy arises because mechanical protein refolding studies are more technically challenging. RESULTS: We developed software that can drive and analyse mechanical refolding experiments when used with the commercial AFM setup 'Picoforce AFM', Bruker (previously Digital Instruments). We expect the software to be easily adaptable to other AFM setups. We also developed an improved method for the statistical characterization of protein folding kinetics, and implemented it into an AFM-independent software module. AVAILABILITY: Software and documentation are available at http://code.google.com/p/refolding under Apache License 2.0.

Evidence of Orientation-Dependent Early States of Prion Protein Misfolded Structures from Single Molecule Force Spectroscopy.

Prion diseases are neurodegenerative disorders characterized by the presence of oligomers and amyloid fibrils. These are the result of protein aggregation processes of the cellular prion protein (PrPC) into amyloidal forms denoted as prions or PrPSc. We employed atomic force microscopy (AFM) for single molecule pulling (single molecule force spectroscopy, SMFS) experiments on the recombinant truncated murine prion protein (PrP) domain to characterize its conformations and potential initial oligomerization processes. Our AFM-SMFS results point to a complex scenario of structural heterogeneity of PrP at the monomeric and dimer level, like other amyloid proteins involved in similar pathologies. By applying this technique, we revealed that the PrP C-terminal domain unfolds in a two-state process. We used two dimeric constructs with different PrP reciprocal orientations: one construct with two sequential PrP in the N- to C-terminal orientation (N-C dimer) and a second one in the C- to C-terminal orientation (C-C dimer). The analysis revealed that the different behavior in terms of unfolding force, whereby the dimer placed C-C dimer unfolds at a higher force compared to the N-C orientation. We propose that the C-C dimer orientation may represent a building block of amyloid fibril formation.

Observing the osmophobic effect in action at the single molecule level.

Protecting osmolytes are widespread small organic molecules able to stabilize the folded state of most proteins against various denaturing stresses in vivo. The osmophobic model explains thermodynamically their action through a preferential exclusion of the osmolyte molecules from the protein surface, thus favoring the formation of intrapeptide hydrogen bonds. Few works addressed the influence of protecting osmolytes on the protein unfolding transition state and kinetics. Among those, previous single molecule force spectroscopy experiments evidenced a complexation of the protecting osmolyte molecules at the unfolding transition state of the protein, in apparent contradiction with the osmophobic nature of the protein backbone. We present single-molecule evidence that glycerol, which is a ubiquitous protecting osmolyte, stabilizes a globular protein against mechanical unfolding without binding into its unfolding transition state structure. We show experimentally that glycerol does not change the position of the unfolding transition state as projected onto the mechanical reaction coordinate. Moreover, we compute theoretically the projection of the unfolding transition state onto two other common reaction coordinates, that is, the number of native peptide bonds and the weighted number of native contacts. To that end, we augment an analytic Ising-like protein model with support for group-transfer free energies. Using this model, we find again that the position of the unfolding transition state does not change in the presence of glycerol, giving further support to the conclusions based on the single-molecule experiments.

Conformational equilibria in monomeric alpha-synuclein at the single-molecule level.

Human alpha-Synuclein (alphaSyn) is a natively unfolded protein whose aggregation into amyloid fibrils is involved in the pathology of Parkinson disease. A full comprehension of the structure and dynamics of early intermediates leading to the aggregated states is an unsolved problem of essential importance to researchers attempting to decipher the molecular mechanisms of alphaSyn aggregation and formation of fibrils. Traditional bulk techniques used so far to solve this problem point to a direct correlation between alphaSyn's unique conformational properties and its propensity to aggregate, but these techniques can only provide ensemble-averaged information for monomers and oligomers alike. They therefore cannot characterize the full complexity of the conformational equilibria that trigger the aggregation process. We applied atomic force microscopy-based single-molecule mechanical unfolding methodology to study the conformational equilibrium of human wild-type and mutant alphaSyn. The conformational heterogeneity of monomeric alphaSyn was characterized at the single-molecule level. Three main classes of conformations, including disordered and "beta-like" structures, were directly observed and quantified without any interference from oligomeric soluble forms. The relative abundance of the "beta-like" structures significantly increased in different conditions promoting the aggregation of alphaSyn: the presence of Cu2+, the pathogenic A30P mutation, and high ionic strength. This methodology can explore the full conformational space of a protein at the single-molecule level, detecting even poorly populated conformers and measuring their distribution in a variety of biologically important conditions. To the best of our knowledge, we present for the first time evidence of a conformational equilibrium that controls the population of a specific class of monomeric alphaSyn conformers, positively correlated with conditions known to promote the formation of aggregates. A new tool is thus made available to test directly the influence of mutations and pharmacological strategies on the conformational equilibrium of monomeric alphaSyn.

Hooke: an open software platform for force spectroscopy.

SUMMARY: Hooke is an open source, extensible software intended for analysis of atomic force microscope (AFM)-based single molecule force spectroscopy (SMFS) data. We propose it as a platform on which published and new algorithms for SMFS analysis can be integrated in a standard, open fashion, as a general solution to the current lack of a standard software for SMFS data analysis. Specific features and support for file formats are coded as independent plugins. Any user can code new plugins, extending the software capabilities. Basic automated dataset filtering and semi-automatic analysis facilities are included. AVAILABILITY: Software and documentation are available at (http://code.google.com/p/hooke). Hooke is a free software under the GNU Lesser General Public License.

Plzf mediates transcriptional repression of HoxD gene expression through chromatin remodeling.

The molecular mechanisms that regulate coordinated and colinear activation of Hox gene expression in space and time remain poorly understood. Here we demonstrate that Plzf regulates the spatial expression of the AbdB HoxD gene complex by binding to regulatory elements required for restricted Hox gene expression and can recruit histone deacetylases to these sites. We show by scanning forced microscopy that Plzf, via homodimerization, can form DNA loops and bridge distant Plzf binding sites located within HoxD gene regulatory elements. Furthermore, we demonstrate that Plzf physically interacts with Polycomb proteins on DNA. We propose a model by which the balance between activating morphogenic signals and transcriptional repressors such as Plzf establishes proper Hox gene expression boundaries in the limb bud.

Pathogenic mutations shift the equilibria of alpha-synuclein single molecules towards structured conformers.

Alpha-synuclein (alpha-Syn) is an abundant brain protein whose mutations have been linked to early-onset Parkinson's disease (PD). We recently demonstrated, by means of a single-molecule force spectroscopy (SMFS) methodology, that the conformational equilibrium of monomeric wild-type (WT) alpha-Syn shifts toward beta-containing structures in several unrelated conditions linked to PD pathogenicity. Herein, we follow the same methodology previously employed for WT alpha-Syn to characterize the conformational heterogeneity of pathological alpha-Syn mutants A30P, A53T, and E46K. Contrary to the bulk ensemble-averaged spectroscopies so far employed to this end by different authors, our single-molecule methodology monitored marked differences in the conformational behaviors of the mutants with respect to the WT sequence. We found that all the mutants have a much higher propensity than the WT to adopt a monomeric compact conformation that is compatible with the acquiring of beta structure. Mutants A30P and A53T show a similar conformational equilibrium that is significantly different from that of E46K. Another class of conformations, stabilized by mechanically weak interactions (MWI), shows a higher variety in the mutants than in the WT protein. In the A30P mutant these interactions are relatively stronger, and therefore the corresponding conformations are possibly more structured. The more structured and globular conformations of the mutants can explain their higher propensity to aggregate with respect to the WT.

Screen-printed electrodes based on carbon nanotubes and cytochrome P450scc for highly sensitive cholesterol biosensors.

This paper is concerned with an investigation of electron transfer between cytochrome P450scc (CYP11A1) immobilized on nanostructured rhodium-graphite electrodes. Multi-walled carbon nanotubes (MWCNT) were deposited onto the rhodium-graphite electrodes by drop casting. Cytochrome P450scc was deposited onto MWCNT-modified rhodium-graphite electrodes. Cytochrome P450scc was also deposited onto both gold nanoparticle-modified and bare rhodium-graphite electrodes, in order to have a comparison with our previous works in this field. Cyclic voltammetry indicated largest enhanced activity of the enzyme at the MWCNT-modified surface. The role of the nanotubes in mediating electron transfer to the cytochrome P450scc was verified as further improved with respect to the case of rhodium-graphite electrodes modified by the use of gold nanoparticles. The sensitivity of our system in cholesterol sensing is higher by orders of magnitude with respect to other similar systems very recently published that are based on cholesterol oxidase and esterase. The electron transfer improvement attained by the use of MWCNT in P450-based cholesterol biosensors was demonstrated to be larger than 2.4 times with respect to the use of gold nanoparticles and 17.8 times larger with respect to the case of simple bare electrodes. The sensitivity was equal to 1.12 microA/(mM mm(2)) and the linearity of the biosensor response was improved with respect to the use of gold nanoparticles.

Mastering the complexity of DNA nanostructures.

The self-assembly of oligodeoxynucleotides is a versatile and powerful tool for the construction of objects in the nanoscale. The strictly information-driven pairing of DNA fragments can be used to rationally design and build nanostructures with planned topologies and geometries. Taking advantage of the steadily expanding library of well-characterized DNA motifs, several examples of structures with different dimensionalities have appeared in the literature in the past few years, laying the foundations for a promising DNA-mediated, bottom-up approach to nanotechnology. This article focuses on recent developments in this area of research and proposes a classification of DNA nanostructures based on topological considerations in addition to describing strategies for tackling the inherent complexities of such an endeavor.

DNA codes for nanoscience.

The nanometer scale is a special place where all sciences meet and develop a particularly strong interdisciplinarity. While biology is a source of inspiration for nanoscientists, chemistry has a central role in turning inspirations and methods from biological systems to nanotechnological use. DNA is the biological molecule by which nanoscience and nanotechnology is mostly fascinated. Nature uses DNA not only as a repository of the genetic information, but also as a controller of the expression of the genes it contains. Thus, there are codes embedded in the DNA sequence that serve to control recognition processes on the atomic scale, such as the base pairing, and others that control processes taking place on the nanoscale. From the chemical point of view, DNA is the supramolecular building block with the highest informational content. Nanoscience has therefore the opportunity of using DNA molecules to increase the level of complexity and efficiency in self-assembling and self-directing processes.

Sequence-dependent DNA dynamics by scanning force microscopy time-resolved imaging.

Scanning force microscopy was used to study in fluid the conformational fluctuations of two double-stranded DNA molecules resulting from differently cut pBR322 circular DNAs. A new approach was conceived to monitor the thermodynamic equilibrium of the chain dynamics on different scale lengths. This method made it possible to demonstrate that both the observed DNA molecules were allowed to equilibrate only on their local small-scale dynamics during the time of the experiment. This capability of monitoring the length scale and the time scale of the equilibration processes in the dynamics of a DNA chain is relevant to give an insight in the thermodynamics of the DNA binding with proteins and synthetic ligands. It was also shown that the small-scale equilibration of the DNA chain during surface-restricted dynamics is enough to allow a valid measurement of the local sequence-dependent curvature.

Automatic intrinsic DNA curvature computation from AFM images.

Critical information on several biological processes such as DNA-protein interactions and DNA transcription can be derived from analysis of DNA curvature. Under thermal perturbation, the curvature is composed of static and dynamic contributions, thus, can be described as the sum of intrinsic curvature and a fluctuation contribution. Without considering thermal agitations, the DNA curvature is reducible to the intrinsic component, which is a function of the DNA nucleotide sequence only. In this paper, we present an automated algorithm to determine the DNA intrinsic curvature profiles and the molecular spatial orientations in Atomic Force Microscope images. The algorithm allows to reconstruct the intrinsic curvature profile by filtering the thermal contribution. It detects fragment orientation on atomic force microscope images without labels with a percentage of correct molecular-orientation detection of 96.79% in computer-generated benchmarks, for molecules with a high curvature peak. The automated algorithm reconstructs the intrinsic curvature profile of DNA molecules with a mean square error of 3.8122 x 10(-4) rads over a profile with a central peak value of 0.196 rads, and 6.1 x 10(-3) rads over a curvature profile with two symmetric peaks of about 0.08 rads. Moreover, it correctly detects the location of the peaks in the molecules with a deviation of about 1% of molecule length.

Staphylococcus epidermidis-fibronectin binding and its inhibition by heparin.

Staphylococcus epidermidis is able to adhere onto biomaterials and to cause implant infections. Recently, host matrix proteins, which in vivo cover the implants, have been indicated as substrates for adhesion by specific bacterial adhesins. Here, the binding of S. epidermidis to fibronectin, a main protein of the extracellular matrix, and the effect of heparin on this interaction were studied by dynamic force spectroscopy (DFS). Novelties are that S. epidermidis strains analysed by DFS were clinical isolates from prosthesis-associated infections, genotyped and phenotyped for their adhesion properties to fibronectin and examined as living cells. Thus, fibronectin-binding staphylococci adhered to the fibronectin-coated substratum and formed a continuous layer assuring their contact with the fibronectin-coated cantilever tip during the approach-retraction cycles of the DFS measurements. Results show that only a single molecular binding site of fibronectin is involved in the interaction with S. epidermidis, that it takes place at the domain near the C-terminus and that it is specifically inhibited by heparin.

Single molecule studies of RNA secondary structure: AFM of TYMV viral RNA.

Nowadays, the development of experimental procedures for the determination of the secondary structure of RNA molecules is taking advantage of the novel single-molecule probing and imaging techniques. We report a method for the mapping of the secondary structure of RNA molecules spread on a flat surface by means of the atomic force microscope. Globular domains comprising groups of RNA secondary and tertiary structure elements separated by unstructured domains can be discerned in the micrographs and their position along the molecule contour can be measured directly on unstained specimens. We have analyzed the morphology of a population of single molecules of 3' fragments of the Turnip Yellow Mosaic Virus RNA shorter than 1 kb in different temperature and electrolytic conditions. We found a satisfying agreement of the shape of the imaged structures with previously available evidence. The method we have developed can be used to map also different types of RNA molecules and has the advantage of showing the distribution of the single molecule conformations within the population.

Stretching, Tearing, and Dissecting Single Molecules of DNA.

Optical tweezers, bendable microneedles, and scanning force microscope probes make it possible to play with individual molecules of DNA, to stretch them beyond their natural length, to unzip and pull apart their strands (see schematic diagram), and to dissect them to create new molecules in situ. Depending on the method of measurement, the mechanical force necessary to separate the strands was in the range of 10-50 pN per base pair.