”FDT” Violation in Proteins

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Description
Bio-molecules and proteins are building blocks of life as is known, and understanding

their dynamics and functions are necessary to better understand life and improve its

quality. While ergodicity and fluctuation dissipation theorem (FDT) are fundamental

and crucial concepts regarding study of dynamics…

Bio-molecules and proteins are building blocks of life as is known, and understanding

their dynamics and functions are necessary to better understand life and improve its

quality. While ergodicity and fluctuation dissipation theorem (FDT) are fundamental

and crucial concepts regarding study of dynamics of systems in equilibrium, biological

function is not possible in equilibrium.

In this work, dynamical and orientational structural crossovers in low-temperature

glycerol are investigated. A sudden and notable increase in the orientational Kirk-

wood factor and the dielectric constant is observed, which appears in the same range

of temperatures that dynamic crossover of translational and rotational dynamics oc-

cur.

Theory and electrochemistry of cytochrome c is also investigated. The seeming

discrepancy in reorganization energies of protein electron transfer produced by atom-

istic simulations and those reported by protein electrochemistry (which are smaller)

is resolved. It is proposed in this thesis that ergodicity breaking results in an effective

reorganization energy (0.57 eV) consistent with experiment.

Ergodicity breaking also affects the iron displacement in heme proteins. A model

for dynamical transition of atomic displacements in proteins is provided. Different

temperatures for rotational and translational crossovers of water molecules are re-

ported, which all are ergodicity breaking transitions depending on the corresponding

observation windows. The comparison with Mössbauer spectroscopy is presented.

Biological function at low temperatures and its termination is also investigated in

this research. Here, it is proposed that ergodicity breaking gives rise to the violation

of the FDT, and this violation is maintained in the entire range of physiological

temperatures for cytochrome c. Below the crossover temperature, the protein returns

to the FDT, which leads to a sudden jump in the activation barrier for electron

itransfer.

Finally the interaction of charges in dielectric materials is discussed. It is shown

that the potential of mean force between ions in polar liquids becomes oscillatory at

short distances.
Date Created
2018
Agent

Computational Study of Conformation Dynamics and Allostery in WW Protein Domains

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Description
Proteins continually and naturally incur evolutionary selection through mutagenesis that optimizes their fitness, which is primarily determined by their function. It is known that allosteric regulation alters a protein's conformational dynamics leading to functional changes. We have computationally introduced a…

Proteins continually and naturally incur evolutionary selection through mutagenesis that optimizes their fitness, which is primarily determined by their function. It is known that allosteric regulation alters a protein's conformational dynamics leading to functional changes. We have computationally introduced a mutation at a predicted regulatory site of a short, 46 residue-long, protein interaction module composed of a WW domain and corresponding polyproline ligand (PDB id: 1k9r). The dynamic flexibility index (DFI) was computed for the binding site of the wild type and mutant WW domains to quantify the mutations effect on the rigidity of the binding pocket. DFI is used as a metric to quantify the resilience of a given position to perturbation along the chain. Using steered molecular dynamics (SMD), we also measure the effect of the point mutation on allosteric regulation by approximating the binding free energy of the system calculated using Jarzynski's Equality. Calculation of the DFI shows that the overall flexibility of the protein complex increases as a result of the distal point mutation. Total change in DFI percentile of the binding site showed a 0.067 increase suggesting an allosteric, loss of function mutation. Furthermore, we see that the change in the binding free energy is greater for that of the mutated complex supporting the idea that an increase in flexibility is correlated to a decrease in proteinlig and binding affinity. We show that sequence mutation of an allosteric site affects the mechanical stability and functionality of the binding pocket.
Date Created
2018-05
Agent

HDL Particles Incorporate Into Lipid Bilayers – A Combined AFM and Single Molecule Fluorescence Microscopy Study

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Description

The process, how lipids are removed from the circulation and transferred from high density lipoprotein (HDL) – a main carrier of cholesterol in the blood stream – to cells, is highly complex. HDL particles are captured from the blood stream…

The process, how lipids are removed from the circulation and transferred from high density lipoprotein (HDL) – a main carrier of cholesterol in the blood stream – to cells, is highly complex. HDL particles are captured from the blood stream by the scavenger receptor, class B, type I (SR-BI), the so-called HDL receptor. The details in subsequent lipid-transfer process, however, have not yet been completely understood. The transfer has been proposed to occur directly at the cell surface across an unstirred water layer, via a hydrophobic channel in the receptor, or after HDL endocytosis. The role of the target lipid membrane for the transfer process, however, has largely been overlooked. Here, we studied at the single molecule level how HDL particles interact with synthetic lipid membranes. Using (high-speed) atomic force microscopy and fluorescence correlation spectroscopy (FCS) we found out that, upon contact with the membrane, HDL becomes integrated into the lipid bilayer. Combined force and single molecule fluorescence microscopy allowed us to directly monitor the transfer process of fluorescently labelled amphiphilic lipid probe from HDL particles to the lipid bilayer upon contact.

Date Created
2017-11-21
Agent

Combined AFM and Fluorescence Measurements for the Investigation of Nanophotonic Effects on Single Fluorophores

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Description
In this project, we introduce a type of microscopy which produces correlated topography and fluorescence lifetime images with nanometer resolution. This technique combines atomic force microscopy (AFM) and time resolved confocal fluorescence microscopy to conduct biological and materials research. This…

In this project, we introduce a type of microscopy which produces correlated topography and fluorescence lifetime images with nanometer resolution. This technique combines atomic force microscopy (AFM) and time resolved confocal fluorescence microscopy to conduct biological and materials research. This method is used to investigate nanophotonic effects on single fluorophores, including quantum dots and fluorescent molecules. For single fluorescent molecules, we investigate the effects of quenching of fluorescence with the probe of an atomic force microscope which is combined and synchronized with a confocal fluorescence lifetime microscope. For quantum dots, we investigate the correlation between the topographic and fluorescence data. With this method of combining an atomic force microscope with a confocal microscope, it is anticipated that there will be applications in nanomaterial characterization and life sciences; such as the determination of the structure of small molecular systems on surfaces, molecular interactions, as well as the structure and properties of fluorescent nanomaterials.
Date Created
2013-05
Agent

Correlating Confocal Microscopy and Atomic Force Indentation Reveals Metastatic Cancer Cells Stiffen During Invasion Into Collagen I Matrices

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Description

Mechanical interactions between cells and their microenvironment dictate cell phenotype and behavior, calling for cell mechanics measurements in three-dimensional (3D) extracellular matrices (ECM). Here we describe a novel technique for quantitative mechanical characterization of soft, heterogeneous samples in 3D. The…

Mechanical interactions between cells and their microenvironment dictate cell phenotype and behavior, calling for cell mechanics measurements in three-dimensional (3D) extracellular matrices (ECM). Here we describe a novel technique for quantitative mechanical characterization of soft, heterogeneous samples in 3D. The technique is based on the integration of atomic force microscopy (AFM) based deep indentation, confocal fluorescence microscopy, finite element (FE) simulations and analytical modeling. With this method, the force response of a cell embedded in 3D ECM can be decoupled from that of its surroundings, enabling quantitative determination of the elastic properties of both the cell and the matrix. We applied the technique to the quantification of the elastic properties of metastatic breast adenocarcinoma cells invading into collagen hydrogels. We found that actively invading and fully embedded cells are significantly stiffer than cells remaining on top of the collagen, a clear example of phenotypical change in response to the 3D environment. Treatment with Rho-associated protein kinase (ROCK) inhibitor significantly reduces this stiffening, indicating that actomyosin contractility plays a major role in the initial steps of metastatic invasion.

Date Created
2016-01-27
Agent

Protein conformational dynamics In genomic analysis

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Description
Proteins are essential for most biological processes that constitute life. The function of a protein is encoded within its 3D folded structure, which is determined by its sequence of amino acids. A variation of a single nucleotide in the DNA…

Proteins are essential for most biological processes that constitute life. The function of a protein is encoded within its 3D folded structure, which is determined by its sequence of amino acids. A variation of a single nucleotide in the DNA during transcription (nSNV) can alter the amino acid sequence (i.e., a mutation in the protein sequence), which can adversely impact protein function and sometimes cause disease. These mutations are the most prevalent form of variations in humans, and each individual genome harbors tens of thousands of nSNVs that can be benign (neutral) or lead to disease. The primary way to assess the impact of nSNVs on function is through evolutionary approaches based on positional amino acid conservation. These approaches are largely inadequate in the regime where positions evolve at a fast rate. We developed a method called dynamic flexibility index (DFI) that measures site-specific conformational dynamics of a protein, which is paramount in exploring mechanisms of the impact of nSNVs on function. In this thesis, we demonstrate that DFI can distinguish the disease-associated and neutral nSNVs, particularly for fast evolving positions where evolutionary approaches lack predictive power. We also describe an additional dynamics-based metric, dynamic coupling index (DCI), which measures the dynamic allosteric residue coupling of distal sites on the protein with the functionally critical (i.e., active) sites. Through DCI, we analyzed 200 disease mutations of a specific enzyme called GCase, and a proteome-wide analysis of 75 human enzymes containing 323 neutral and 362 disease mutations. In both cases we observed that sites with high dynamic allosteric residue coupling with the functional sites (i.e., DARC spots) have an increased susceptibility to harboring disease nSNVs. Overall, our comprehensive proteome-wide analysis suggests that incorporating these novel position-specific conformational dynamics based metrics into genomics can complement current approaches to increase the accuracy of diagnosing disease nSNVs. Furthermore, they provide mechanistic insights about disease development. Lastly, we introduce a new, purely sequence-based model that can estimate the dynamics profile of a protein by only utilizing coevolution information, eliminating the requirement of the 3D structure for determining dynamics.
Date Created
2016
Agent

Solving the mechanism of Na+/H+ antiporters using molecular dynamics simulations

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Description
Na+/H+ antiporters are vital membrane proteins for cell homeostasis, transporting Na+ ions in exchange for H+ across the lipid bilayer. In humans, dysfunction of these transporters are implicated in hypertension, heart failure, epilepsy, and autism, making them well-established drug targets.…

Na+/H+ antiporters are vital membrane proteins for cell homeostasis, transporting Na+ ions in exchange for H+ across the lipid bilayer. In humans, dysfunction of these transporters are implicated in hypertension, heart failure, epilepsy, and autism, making them well-established drug targets. Although experimental structures for bacterial homologs of the human Na+/H+ have been obtained, the detailed mechanism for ion transport is still not well-understood. The most well-studied of these transporters, Escherichia coli NhaA, known to transport 2 H+ for every Na+ extruded, was recently shown to bind H+ and Na+ at the same binding site, for which the two ion species compete. Using molecular dynamics simulations, the work presented in this dissertation shows that Na+ binding disrupts a previously-unidentified salt bridge between two conserved residues, suggesting that one of these residues, Lys300, may participate directly in transport of H+. This work also demonstrates that the conformational change required for ion translocation in a homolog of NhaA, Thermus thermophilus NapA, thought by some to involve only small helical movements at the ion binding site, is a large-scale, rigid-body movement of the core domain relative to the dimerization domain. This elevator-like transport mechanism translates a bound Na+ up to 10 Å across the membrane. These findings constitute a major shift in the prevailing thought on the mechanism of these transporters, and serve as an exciting launchpad for new developments toward understanding that mechanism in detail.
Date Created
2016
Agent

Single cell force spectroscopy for quantification of cellular adhesion on surfaces

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Description
Cell adhesion is an important aspect of many biological processes. The atomic force microscope (AFM) has made it possible to quantify the forces involved in cellular adhesion using a technique called single cell force spectroscopy (SCFS). AFM based SCFS offers…

Cell adhesion is an important aspect of many biological processes. The atomic force microscope (AFM) has made it possible to quantify the forces involved in cellular adhesion using a technique called single cell force spectroscopy (SCFS). AFM based SCFS offers versatile control over experimental conditions for probing directly the interaction between specific cell types and specific proteins, surfaces, or other cells. Transmembrane integrins are the primary proteins involved in cellular adhesion to the extra cellular matix (ECM). One of the chief integrins involved in the adhesion of leukocyte cells is αMβ2 (Mac-1). The experiments in this dissertation quantify the adhesion of Mac-1 expressing human embryonic kidney (HEK Mac-1), platelets, and neutrophils cells on substrates with different concentrations of fibrinogen and on fibrin gels and multi-layered fibrinogen coated fibrin gels. It was shown that multi-layered fibrinogen reduces the adhesion force of these cells considerably. A novel method was developed as part of this research combining total internal reflection microscopy (TIRFM) with SCFS allowing for optical microscopy of HEK Mac-1 cells interacting with bovine serum albumin (BSA) coated glass after interacting with multi-layered fibrinogen. HEK Mac-1 cells are able to remove fibrinogen molecules from the multi-layered fibrinogen matrix. An analysis methodology for quantifying the kinetic parameters of integrin-ligand interactions from SCFS experiments is proposed, and the kinetic parameters of the Mac-1 fibrinogen bond are quantified. Additional SCFS experiments quantify the adhesion of macrophages and HEK Mac-1 cells on functionalized glass surfaces and normal glass surfaces. Both cell types show highest adhesion on a novel functionalized glass surface that was prepared to induce macrophage fusion. These experiments demonstrate the versatility of AFM based SCFS, and how it can be applied to address many questions in cellular biology offering quantitative insights.
Date Created
2016
Agent

Electronic single molecule measurements with the scanning tunneling microscope

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Description
Richard Feynman said “There’s plenty of room at the bottom”. This inspired the techniques to improve the single molecule measurements. Since the first single molecule study was in 1961, it has been developed in various field and evolved into powerful…

Richard Feynman said “There’s plenty of room at the bottom”. This inspired the techniques to improve the single molecule measurements. Since the first single molecule study was in 1961, it has been developed in various field and evolved into powerful tools to understand chemical and biological property of molecules. This thesis demonstrates electronic single molecule measurement with Scanning Tunneling Microscopy (STM) and two of applications of STM; Break Junction (BJ) and Recognition Tunneling (RT). First, the two series of carotenoid molecules with four different substituents were investigated to show how substituents relate to the conductance and molecular structure. The measured conductance by STM-BJ shows that Nitrogen induces molecular twist of phenyl distal substituents and conductivity increasing rather than Carbon. Also, the conductivity is adjustable by replacing the sort of residues at phenyl substituents. Next, amino acids and peptides were identified through STM-RT. The distribution of the intuitive features (such as amplitude or width) are mostly overlapped and gives only a little bit higher separation probability than random separation. By generating some features in frequency and cepstrum domain, the classification accuracy was dramatically increased. Because of large data size and many features, supporting vector machine (machine learning algorithm for big data) was used to identify the analyte from a data pool of all analytes RT data. The STM-RT opens a possibility of molecular sequencing in single molecule level. Similarly, carbohydrates were studied by STM-RT. Carbohydrates are difficult to read the sequence, due to their huge number of possible isomeric configurations. This study shows that STM-RT can identify not only isomers of mono-saccharides and disaccharides, but also various mono-saccharides from a data pool of eleven analytes. In addition, the binding affinity between recognition molecule and analyte was investigated by comparing with surface plasmon resonance. In present, the RT technique is applying to chip type sequencing device onto solid-state nanopore to read out glycosaminoglycans which is ubiquitous to all mammalian cells and controls biological activities.
Date Created
2016
Agent

Investigating beta-sheet nanocrystal ordering and correlation with small-angle X-ray scattering

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Description
In disordered soft matter system, amorphous and crystalline components might be coexisted. The interaction between the two distinct structures and the correlation within the crystalline components are crucial to the macroscopic property of the such material. The spider dragline silk…

In disordered soft matter system, amorphous and crystalline components might be coexisted. The interaction between the two distinct structures and the correlation within the crystalline components are crucial to the macroscopic property of the such material. The spider dragline silk biopolymer, is one of such soft matter material that exhibits exceptional mechanical strength though its mass density is considerably small compare to structural metal. Through wide-angle X-ray scattering (WAXS), the research community learned that the silk fiber is mainly composed of amorphous backbone and $\beta$-sheet nano-crystals. However, the morphology of the crystalline system within the fiber is still not clear. Therefore, a combination of small-angle X-ray scattering experiments and stochastic simulation is designed here to reveal the nano-crystalline ordering in spider silk biopolymer. In addition, several density functional theory (DFT) calculations were performed to help understanding the interaction between amorphous backbone and the crystalline $\beta$-sheets.

By taking advantage of the prior information obtained from WAXS, a rather crude nano-crystalline model was initialized for further numerical reconstruction. Using Markov-Chain stochastic method, a hundreds of nanometer size $\beta$-sheet distribution model was reconstructed from experimental SAXS data, including silk fiber sampled from \textit{Latrodectus hesperus}, \textit{Nephila clavipes}, \textit{Argiope aurantia} and \textit{Araneus gemmoides}. The reconstruction method was implemented using MATLAB and C++ programming language and can be extended to study a broad range of disordered material systems.
Date Created
2015
Agent
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