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      Simulating biological processes: stochastic physics from whole cells to colonies

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      Reports on Progress in Physics
      IOP Publishing

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          Stochasticity in gene expression: from theories to phenotypes.

          Genetically identical cells exposed to the same environmental conditions can show significant variation in molecular content and marked differences in phenotypic characteristics. This variability is linked to stochasticity in gene expression, which is generally viewed as having detrimental effects on cellular function with potential implications for disease. However, stochasticity in gene expression can also be advantageous. It can provide the flexibility needed by cells to adapt to fluctuating environments or respond to sudden stresses, and a mechanism by which population heterogeneity can be established during cellular differentiation and development.
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            Nanometer resolution imaging and tracking of fluorescent molecules with minimal photon fluxes

            We introduce MINFLUX, a concept for localizing photon emitters in space. By probing the emitter with a local intensity minimum of excitation light, MINFLUX minimizes the fluorescence photons needed for high localization precision. In our experiments, 22 times fewer fluorescence photons are required as compared to popular centroid localization. In superresolution microscopy, MINFLUX attained ~1-nm precision, resolving molecules only 6 nanometers apart. MINFLUX tracking of single fluorescent proteins increased the temporal resolution and the number of localizations per trace by a factor of 100, as demonstrated with diffusing 30S ribosomal subunits in living Escherichia coli As conceptual limits have not been reached, we expect this localization modality to break new ground for observing the dynamics, distribution, and structure of macromolecules in living cells and beyond.
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              TREATMENT OF STAPHYLOCOCCAL INFECTIONS WITH PENICILLIN BY INTERMITTENT STERILISATION

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                Author and article information

                Journal
                Reports on Progress in Physics
                Rep. Prog. Phys.
                IOP Publishing
                0034-4885
                1361-6633
                May 01 2018
                May 01 2018
                April 05 2018
                : 81
                : 5
                : 052601
                Article
                10.1088/1361-6633/aaae2c
                6d49eba4-cf66-4fb4-b7ab-98f53e26f3e9
                © 2018

                http://iopscience.iop.org/info/page/text-and-data-mining

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