1,721,034 research outputs found

    Inferring diffusion in single live cells at the single-molecule level

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    The movement of molecules inside living cells is a fundamental feature of biological processes. The ability to both observe and analyse the details of molecular diffusion in vivo at the single-molecule and single-cell level can add significant insight into understanding molecular architectures of diffusing molecules and the nanoscale environment in which the molecules diffuse. The tool of choice for monitoring dynamic molecular localization in live cells is fluorescence microscopy, especially so combining total internal reflection fluorescence with the use of fluorescent protein (FP) reporters in offering exceptional imaging contrast for dynamic processes in the cell membrane under relatively physiological conditions compared with competing single-molecule techniques. There exist several different complex modes of diffusion, and discriminating these from each other is challenging at the molecular level owing to underlying stochastic behaviour. Analysis is traditionally performed using mean square displacements of tracked particles; however, this generally requires more data points than is typical for single FP tracks owing to photophysical instability. Presented here is a novel approach allowing robust Bayesian ranking of diffusion processes to discriminate multiple complex modes probabilistically. It is a computational approach that biologists can use to understand single-molecule features in live cells

    Bugs on a Slippery Plane:Understanding the Motility of Microbial Pathogens with Mathematical Modelling

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    Many pathogenic microorganisms live in close association with surfaces, typically in thin films that either arise naturally or that they themselves create. In response to this constrained environment, the cells adjust their behaviour and morphology, invoking communication channels and inducing physical phenomena that allow for rapid colonization of biomedically relevant surfaces or the promotion of virulence factors. Thus, it is very important to measure and theoretically understand the key mechanisms for the apparent advantage obtained from swimming in thin films. We discuss experimental measurements of flows around a peritrichously flagellated bacterium constrained in a thin film, derive a simplified mathematical theory and Green's functions for flows in a thin film with general slip boundary conditions, and establish connections between theoretical and experimental results. This article aims to highlight the importance of mathematics as a tool to unlock qualitative mechanisms associated with experimental observations in the medical and biological sciences

    A fourdimensional microscope for single molecule studies in living cells using astigmatic axial resolution enhancement

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    An important part of life is to react to the environment and adapt to it. All living cells rely on chemical cascades that form signal pathways, from stimulus to transcription events at the DNA. To know more about these pathways we need tools to visualise the signals. Here is outlined developmental and experimental work on a bespoke microscope system primarily for fast single molecule tracing of proteins in living eukaryote cells. Both hardware and software has been developed. Frame rates and exposure times have been pushed to match the speed of freely diffusing particles in living cells. An EMCCD camera with an electronic gain of 300x and a 5 ms exposure time at 200 frames per second enables this. An astigmatic axial resolution enhancement approach has been implemented to allow tracking with high precision of single fluorescent proteins in real-time in three dimensions in a comparatively large volume. The high resolution in three spatial dimensions and one temporal aim to meet these demands. Software to extract the additional axial information has been developed that can determine axial displacement with 38 nm precision. The microscope system has proven it can find and track small clusters of YPet fluorescent protein in E. coli at short exposure times

    Insights into biological complexity from simple foundations

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    We discuss an overtly "simple approach" to complex biological systems borrowing selectively from theoretical physics. The approach is framed by three maxims, and we show examples of its success in two different applications: investigating cellular robustness at the level of gene regulatory networks and quantifying rare events of DNA replication errors.</p

    DNA-Protein Interactions Studied Directly Using Single Molecule Fluorescence Imaging of Quantum Dot Tagged Proteins Moving on DNA Tightropes

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    Many protein interactions with DNA require specific sequences; however, how these sequences are located remains uncertain. DNA normally appears bundled in solution but, to study DNA-protein interactions, the DNA needs to be elongated. Using fluidics single DNA strands can be efficiently and rapidly elongated between beads immobilized on a microscope slide surface. Such "DNA tightropes" offer a valuable method to study protein search mechanisms. Real-time fluorescence imaging of these interactions provides quantitative descriptions of search mechanism at the single molecule level. In our lab, we use this method to study the complex process of nucleotide excision DNA repair to determine mechanisms of damage detection, lesion removal, and DNA excision

    Neutron reflectivity as a tool for physics-based studies of model bacterial membranes

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    The principles of neutron reflectivity and its application as a tool to provide structural information at the (sub-) molecular unit length scale from models for bacterial membranes are described. The model membranes can take the form of a monolayer for a single leaflet spread at the air/water interface, or bilayers of increasing complexity at the solid/liquid interface. Solid-supported bilayers constrain the bilayer to 2D but can be used to characterize interactions with antimicrobial peptides and benchmark high throughput lab-based techniques. Floating bilayers allow for membrane fluctuations, making the phase behaviour more representative of native membranes. Bilayers of varying levels of compositional accuracy can now be constructed, facilitating studies with aims that range from characterizing the fundamental physical interactions, through to the characterization of accurate mimetics for the inner and outer membranes of Gram-negative bacteria. Studies of the interactions of antimicrobial peptides with monolayer and bilayer models for the inner and outer membranes have revealed information about the molecular control of the outer membrane permeability, and the mode of interaction of antimicrobials with both inner and outer membranes.</p

    Replication Labeling Methods for Super-Resolution Imaging of Chromosome Territories and Chromatin Domains

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    Continuing progress in super-resolution microscopy enables the study of sub-chromosomal chromatin organization in single cells with unprecedented detail. Here we describe refined methods for pulse-chase replication labeling of individual chromosome territories (CTs) and replication domain units in mammalian cell nuclei, with specific focus on their application to three-dimensional structured illumination microscopy (3D-SIM). We provide detailed protocols for highly efficient electroporation-based delivery or scratch loading of cell-impermeable fluorescent nucleotides for live-cell studies. Furthermore, we describe the application of (2'S)-2'-deoxy-2'-fluoro-5-ethynyluridine (F-ara-EdU) and 5-vinyl-2'-deoxyuridine (VdU) for the in situ detection of segregated chromosome territories and sister chromatids with minimized cytotoxic side effects.</p

    Evolution of Drug Resistance in Bacteria

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    Resistance to antibiotics is an important and timely problem of contemporary medicine. Rapid evolution of resistant bacteria calls for new preventive measures to slow down this process, and a longer-term progress cannot be achieved without a good understanding of the mechanisms through which drug resistance is acquired and spreads in microbial populations. Here, we discuss recent experimental and theoretical advances in our knowledge how the dynamics of microbial populations affects the evolution of antibiotic resistance . We focus on the role of spatial and temporal drug gradients and show that in certain situations bacteria can evolve de novo resistance within hours. We identify factors that lead to such rapid onset of resistance and discuss their relevance for bacterial infections
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