Leo Gross, Fabian Mohn, Nikolaj Moll, Bruno Schuler, Alejandro Criado, Enrique Guitián, Diego Peña, André Gourdon, Gerhard Meyer
We show that the different bond orders of individual carbon-carbon bonds in polycyclic aromatic hydrocarbons and fullerenes can be distinguished by noncontact atomic force microscopy (AFM) with a carbon monoxide (CO)–functionalized tip. We found two different contrast mechanisms, which were corroborated by density functional theory calculations: The greater electron density in bonds of higher bond order led to a stronger Pauli repulsion, which enhanced the brightness of these bonds in high-resolution AFM images. The apparent bond length in the AFM images decreased with increasing bond order because of tilting of the CO molecule at the tip apex.
DOI
Journal: Science
Friday, September 14, 2012
Thursday, September 13, 2012
Protein folding – simplicity in complexity
M.M. Lin, A.H. Zewail
Understanding and predicting protein folding would elucidate how misfolded proteins cause aggregation and amyloid formation, for example in Alzheimer's disease. Despite the seemingly bewildering complexity of protein biology, simple analytic models can still capture the basic physics and predict the fundamental limits for protein domain size and folding speed.
DOI
Journal: Annalen der Physik
Understanding and predicting protein folding would elucidate how misfolded proteins cause aggregation and amyloid formation, for example in Alzheimer's disease. Despite the seemingly bewildering complexity of protein biology, simple analytic models can still capture the basic physics and predict the fundamental limits for protein domain size and folding speed.
DOI
Journal: Annalen der Physik
Molecular Mechanics of Cardiac Myosin-Binding Protein C in Native Thick Filaments
M. J. Previs, S. Beck Previs, J. Gulick, J. Robbins, D. M. Warshaw
The heart’s pumping capacity results from highly regulated interactions of actomyosin molecular motors. Mutations in the gene for a potential regulator of these motors, cardiac myosin-binding protein C (cMyBP-C), cause hypertrophic cardiomyopathy. However, cMyBP-C’s ability to modulate cardiac contractility is not well understood. Using single-particle fluorescence imaging techniques, transgenic protein expression, proteomics, and modeling, we found that cMyBP-C slowed actomyosin motion generation in native cardiac thick filaments. This mechanical effect was localized to where cMyBP-C resides within the thick filament (i.e., the C-zones) and was modulated by phosphorylation and site-specific proteolytic degradation. These results provide molecular insight into why cMyBP-C should be considered a member of a tripartite complex with actin and myosin that allows fine tuning of cardiac muscle contraction.
DOI
Journal: Science
Wednesday, September 12, 2012
Initiation of transcription-coupled repair characterized at single-molecule resolution
Kévin Howan, Abigail J. Smith, Lars F. Westblade, Nicolas Joly, Wilfried Grange, Sylvain Zorman, Seth A. Darst, Nigel J. Savery, and Terence R. Strick
Transcription-coupled DNA repair uses components of the transcription machinery to identify DNA lesions and initiate their repair. These repair pathways are complex, so their mechanistic features remain poorly understood. Bacterial transcription-coupled repair is initiated when RNA polymerase stalled at a DNA lesion is removed by Mfd, an ATP-dependent DNA translocase. Here we use single-molecule DNA nanomanipulation to observe the dynamic interactions of Escherichia coli Mfd with RNA polymerase elongation complexes stalled by a cyclopyrimidine dimer or by nucleotide starvation. We show that Mfd acts by catalysing two irreversible, ATP-dependent transitions with different structural, kinetic and mechanistic features. Mfd remains bound to the DNA in a long-lived complex that could act as a marker for sites of DNA damage, directing assembly of subsequent DNA repair factors. These results provide a framework for considering the kinetics of transcription-coupled repair in vivo, and open the way to reconstruction of complete DNA repair pathways at single-molecule resolution.
DOI
Journal: Nature
Transcription-coupled DNA repair uses components of the transcription machinery to identify DNA lesions and initiate their repair. These repair pathways are complex, so their mechanistic features remain poorly understood. Bacterial transcription-coupled repair is initiated when RNA polymerase stalled at a DNA lesion is removed by Mfd, an ATP-dependent DNA translocase. Here we use single-molecule DNA nanomanipulation to observe the dynamic interactions of Escherichia coli Mfd with RNA polymerase elongation complexes stalled by a cyclopyrimidine dimer or by nucleotide starvation. We show that Mfd acts by catalysing two irreversible, ATP-dependent transitions with different structural, kinetic and mechanistic features. Mfd remains bound to the DNA in a long-lived complex that could act as a marker for sites of DNA damage, directing assembly of subsequent DNA repair factors. These results provide a framework for considering the kinetics of transcription-coupled repair in vivo, and open the way to reconstruction of complete DNA repair pathways at single-molecule resolution.
DOI
Journal: Nature
Tuesday, September 11, 2012
Collective many-body van der Waals interactions in molecular systems
Robert A. DiStasio, Jr., O. Anatole von Lilienfeld, and Alexandre Tkatchenko
Van der Waals (vdW) interactions are ubiquitous in molecules and condensed matter, and play a crucial role in determining the structure, stability, and function for a wide variety of systems. The accurate prediction of these interactions from first principles is a substantial challenge because they are inherently quantum mechanical phenomena that arise from correlations between many electrons within a given molecular system. We introduce an efficient method that accurately describes the nonadditive many-body vdW energy contributions arising from interactions that cannot be modeled by an effective pairwise approach, and demonstrate that such contributions can significantly exceed the energy of thermal fluctuations—a critical accuracy threshold highly coveted during molecular simulations—in the prediction of several relevant properties. Cases studied include the binding affinity of ellipticine, a DNA-intercalating anticancer agent, the relative energetics between the A- and B-conformations of DNA, and the thermodynamic stability among competing paracetamol molecular crystal polymorphs. Our findings suggest that inclusion of the many-body vdW energy is essential for achieving chemical accuracy and therefore must be accounted for in molecular simulations.
DOI
Journal: Proceedings of the National Academy of Sciences
Van der Waals (vdW) interactions are ubiquitous in molecules and condensed matter, and play a crucial role in determining the structure, stability, and function for a wide variety of systems. The accurate prediction of these interactions from first principles is a substantial challenge because they are inherently quantum mechanical phenomena that arise from correlations between many electrons within a given molecular system. We introduce an efficient method that accurately describes the nonadditive many-body vdW energy contributions arising from interactions that cannot be modeled by an effective pairwise approach, and demonstrate that such contributions can significantly exceed the energy of thermal fluctuations—a critical accuracy threshold highly coveted during molecular simulations—in the prediction of several relevant properties. Cases studied include the binding affinity of ellipticine, a DNA-intercalating anticancer agent, the relative energetics between the A- and B-conformations of DNA, and the thermodynamic stability among competing paracetamol molecular crystal polymorphs. Our findings suggest that inclusion of the many-body vdW energy is essential for achieving chemical accuracy and therefore must be accounted for in molecular simulations.
DOI
Journal: Proceedings of the National Academy of Sciences
Friday, September 7, 2012
Direct observation of a force-induced switch in the anisotropic mechanical unfolding pathway of a protein
Bharat Jagannathan, Phillip J. Elms, Carlos Bustamante, and Susan Marqusee
Many biological processes generate force, and proteins have evolved to resist and respond to tension along different force axes. Single-molecule force spectroscopy allows for molecular insight into the behavior of proteins under force and the mechanism of protein folding in general. Here, we have used src SH3 to investigate the effect of different pulling axes under the low-force regime afforded by an optical trap. We find that this small cooperatively folded protein shows an anisotropic response to force; the protein is more mechanically resistant to force applied along a longitudinal axis compared to force applied perpendicular to the terminal β strand. In the longitudinal axis, we observe an unusual biphasic behavior revealing a force-induced switch in the unfolding mechanism suggesting the existence of two parallel unfolding pathways. A site-specific variant can selectively affect one of these pathways. Thus, even this simple two-state protein demonstrates a complex mechanical unfolding trajectory, accessing multiple unfolding pathways under the low-force regime of the optical trap; the specific unfolding pathway depends on the perturbation axis and the applied force.
DOI
Journal: Proceedings of the National Academy of Sciences
Thursday, September 6, 2012
OpenFovea: open-source AFM data processing software
Charles Roduit, Bhaskar Saha, Livan Alonso-Sarduy, Andrea Volterra, Giovanni Dietler, and Sandor Kasas
The atomic force microscope (AFM) is often used to detect specific molecules on the surfaces of specimens and to measure a specimen's mechanical properties. This information can be deduced from the force-distance curves generated by the deflection of the cantilever as it approaches, indents and recedes from the sample. Force-volume images can be generated from a series of successive force-distance curves recorded while scanning an area of the specimen. This imaging mode has been used since 1997 to image, among others, proteins at molecular resolution, molecular patterns, bacteria, fungi and living cells. Algorithms for processing force-volume data files have been published3, but there is no universal ready-to-use software for analysis of force-distance curves, and investigators must develop their own custom software.
DOI
Journal: Nature Methods
The atomic force microscope (AFM) is often used to detect specific molecules on the surfaces of specimens and to measure a specimen's mechanical properties. This information can be deduced from the force-distance curves generated by the deflection of the cantilever as it approaches, indents and recedes from the sample. Force-volume images can be generated from a series of successive force-distance curves recorded while scanning an area of the specimen. This imaging mode has been used since 1997 to image, among others, proteins at molecular resolution, molecular patterns, bacteria, fungi and living cells. Algorithms for processing force-volume data files have been published3, but there is no universal ready-to-use software for analysis of force-distance curves, and investigators must develop their own custom software.
DOI
Journal: Nature Methods
Wednesday, September 5, 2012
Key stabilizing elements of protein structure identified through pressure and temperature perturbation of its hydrogen bond network
Lydia Nisius, and Stephan Grzesiek
Hydrogen bonds are key constituents of biomolecular structures, and their response to external perturbations may reveal important insights about the most stable components of a structure. NMR spectroscopy can probe hydrogen bond deformations at very high resolution through hydrogen bond scalar couplings (HBCs). However, the small size of HBCs has so far prevented a comprehensive quantitative characterization of protein hydrogen bonds as a function of the basic thermodynamic parameters of pressure and temperature. Using a newly developed pressure cell, we have now mapped pressure- and temperature-dependent changes of 31 hydrogen bonds in ubiquitin by measuring HBCs with very high precision. Short-range hydrogen bonds are only moderately perturbed, but many hydrogen bonds with large sequence separations (high contact order) show greater changes. In contrast, other high-contact-order hydrogen bonds remain virtually unaffected. The specific stabilization of such topologically important connections may present a general principle with which to achieve protein stability and to preserve structural integrity during protein function.
DOI
Journal: Nature Chemistry
Hydrogen bonds are key constituents of biomolecular structures, and their response to external perturbations may reveal important insights about the most stable components of a structure. NMR spectroscopy can probe hydrogen bond deformations at very high resolution through hydrogen bond scalar couplings (HBCs). However, the small size of HBCs has so far prevented a comprehensive quantitative characterization of protein hydrogen bonds as a function of the basic thermodynamic parameters of pressure and temperature. Using a newly developed pressure cell, we have now mapped pressure- and temperature-dependent changes of 31 hydrogen bonds in ubiquitin by measuring HBCs with very high precision. Short-range hydrogen bonds are only moderately perturbed, but many hydrogen bonds with large sequence separations (high contact order) show greater changes. In contrast, other high-contact-order hydrogen bonds remain virtually unaffected. The specific stabilization of such topologically important connections may present a general principle with which to achieve protein stability and to preserve structural integrity during protein function.
DOI
Journal: Nature Chemistry
Experimental free-energy measurements of kinetic molecular states using fluctuation theorems
Anna Alemany, Alessandro Mossa, Ivan Junier, and Felix Ritort
Recent advances in non-equilibrium statistical mechanics and single-molecule technologies have made it possible to use irreversible work measurements to extract free-energy differences associated with the mechanical (un)folding of molecules. To date, free-energy recovery has been focused on native (or equilibrium) molecular states, but free-energy measurements of kinetic states have remained unexplored. Kinetic states are metastable, finite-lifetime states that are generated dynamically, and play important roles in diverse physical processes. In biophysics, there are many examples in which these states determine the fate of molecular reactions, including protein binding, enzymatic reactions, as well as the formation of transient intermediate states during molecular-folding processes. Here we demonstrate that it is possible to obtain free energies of kinetic states by applying extended fluctuation relations, using optical tweezers to mechanically unfold and refold deoxyribonucleic acid (DNA) structures exhibiting intermediate and misfolded kinetic states.
DOI
Journal: Nature Physics
Recent advances in non-equilibrium statistical mechanics and single-molecule technologies have made it possible to use irreversible work measurements to extract free-energy differences associated with the mechanical (un)folding of molecules. To date, free-energy recovery has been focused on native (or equilibrium) molecular states, but free-energy measurements of kinetic states have remained unexplored. Kinetic states are metastable, finite-lifetime states that are generated dynamically, and play important roles in diverse physical processes. In biophysics, there are many examples in which these states determine the fate of molecular reactions, including protein binding, enzymatic reactions, as well as the formation of transient intermediate states during molecular-folding processes. Here we demonstrate that it is possible to obtain free energies of kinetic states by applying extended fluctuation relations, using optical tweezers to mechanically unfold and refold deoxyribonucleic acid (DNA) structures exhibiting intermediate and misfolded kinetic states.
DOI
Journal: Nature Physics
Tuesday, September 4, 2012
A Whole-Cell Computational Model Predicts Phenotype from Genotype
Jonathan R. Karr, Jayodita C. Sanghvi, Derek N. Macklin, Miriam V. Gutschow, Jared M. Jacobs, Benjamin Bolival Jr., Nacyra Assad-Garcia, John I. Glass, Markus W. Covert
Understanding how complex phenotypes arise from individual molecules and their interactions is a primary challenge in biology that computational approaches are poised to tackle. We report a whole-cell computational model of the life cycle of the human pathogen Mycoplasma genitalium that includes all of its molecular components and their interactions. An integrative approach to modeling that combines diverse mathematics enabled the simultaneous inclusion of fundamentally different cellular processes and experimental measurements. Our whole-cell model accounts for all annotated gene functions and was validated against a broad range of data. The model provides insights into many previously unobserved cellular behaviors, including in vivo rates of protein-DNA association and an inverse relationship between the durations of DNA replication initiation and replication. In addition, experimental analysis directed by model predictions identified previously undetected kinetic parameters and biological functions. We conclude that comprehensive whole-cell models can be used to facilitate biological discovery.
DOI
Journal: Cell
Understanding how complex phenotypes arise from individual molecules and their interactions is a primary challenge in biology that computational approaches are poised to tackle. We report a whole-cell computational model of the life cycle of the human pathogen Mycoplasma genitalium that includes all of its molecular components and their interactions. An integrative approach to modeling that combines diverse mathematics enabled the simultaneous inclusion of fundamentally different cellular processes and experimental measurements. Our whole-cell model accounts for all annotated gene functions and was validated against a broad range of data. The model provides insights into many previously unobserved cellular behaviors, including in vivo rates of protein-DNA association and an inverse relationship between the durations of DNA replication initiation and replication. In addition, experimental analysis directed by model predictions identified previously undetected kinetic parameters and biological functions. We conclude that comprehensive whole-cell models can be used to facilitate biological discovery.
DOI
Journal: Cell
Interaction landscape of membrane-protein complexes in Saccharomyces cerevisiae
Mohan Babu et. al
Macromolecular assemblies involving membrane proteins (MPs) serve vital biological roles and are prime drug targets in a variety of diseases1. Large-scale affinity purification studies of soluble-protein complexes have been accomplished for diverse model organisms, but no global characterization of MP-complex membership has been described so far. Here we report a complete survey of 1,590 putative integral, peripheral and lipid-anchored MPs from Saccharomyces cerevisiae, which were affinity purified in the presence of non-denaturing detergents. The identities of the co-purifying proteins were determined by tandem mass spectrometry and subsequently used to derive a high-confidence physical interaction map encompassing 1,726 membrane protein–protein interactions and 501 putative heteromeric complexes associated with the various cellular membrane systems. Our analysis reveals unexpected physical associations underlying the membrane biology of eukaryotes and delineates the global topological landscape of the membrane interactome.
DOI
Journal: Nature
Macromolecular assemblies involving membrane proteins (MPs) serve vital biological roles and are prime drug targets in a variety of diseases1. Large-scale affinity purification studies of soluble-protein complexes have been accomplished for diverse model organisms, but no global characterization of MP-complex membership has been described so far. Here we report a complete survey of 1,590 putative integral, peripheral and lipid-anchored MPs from Saccharomyces cerevisiae, which were affinity purified in the presence of non-denaturing detergents. The identities of the co-purifying proteins were determined by tandem mass spectrometry and subsequently used to derive a high-confidence physical interaction map encompassing 1,726 membrane protein–protein interactions and 501 putative heteromeric complexes associated with the various cellular membrane systems. Our analysis reveals unexpected physical associations underlying the membrane biology of eukaryotes and delineates the global topological landscape of the membrane interactome.
DOI
Journal: Nature
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