Lucas Nivon

Centre for Cellular and Molecular Biology, Bhaganagar, Andhra Pradesh, India

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Publications (2)17.54 Total impact

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    Amit Meller, Lucas Nivon, Daniel Branton
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    ABSTRACT: We measure current blockade and time distributions for single-stranded DNA polymers during voltage-driven translocations through a single alpha-hemolysin pore. We use these data to determine the velocity of the polymers in the pore. Our measurements imply that, while polymers longer than the pore are translocated at a constant speed, the velocity of shorter polymers increases with decreasing length. This velocity is nonlinear with the applied field. Based on this data, we estimate the effective diffusion coefficient and the energy penalty for extending a molecule into the pore.
    Physical Review Letters 05/2001; 86(15):3435-8. DOI:10.1103/PhysRevLett.86.3435 · 7.73 Impact Factor
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    ABSTRACT: A variety of different DNA polymers were electrophoretically driven through the nanopore of an alpha-hemolysin channel in a lipid bilayer. Single-channel recording of the translocation duration and current flow during traversal of individual polynucleotides yielded a unique pattern of events for each of the several polymers tested. Statistical data derived from this pattern of events demonstrate that in several cases a nanopore can distinguish between polynucleotides of similar length and composition that differ only in sequence. Studies of temperature effects on the translocation process show that translocation duration scales as approximately T(-2). A strong correlation exists between the temperature dependence of the event characteristics and the tendency of some polymers to form secondary structure. Because nanopores can rapidly discriminate and characterize unlabeled DNA molecules at low copy number, refinements of the experimental approach demonstrated here could eventually provide a low-cost high-throughput method of analyzing DNA polynucleotides.
    Proceedings of the National Academy of Sciences 03/2000; 97(3):1079-84. DOI:10.1073/pnas.97.3.1079 · 9.81 Impact Factor