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Jeehae Park

Researcher at Harvard University

Publications -  13
Citations -  958

Jeehae Park is an academic researcher from Harvard University. The author has contributed to research in topics: Cooperativity & Enhancer. The author has an hindex of 11, co-authored 13 publications receiving 827 citations. Previous affiliations of Jeehae Park include University of Illinois at Urbana–Champaign.

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Probing cellular protein complexes using single-molecule pull-down

TL;DR: An assay that combines the principles of a conventional pull-down assay with single-molecule fluorescence microscopy and enables direct visualization of individual cellular protein complexes is described, which can reveal how many proteins and of which kinds are present in the in vivo complex.
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PcrA Helicase Dismantles RecA Filaments by Reeling in DNA in Uniform Steps

TL;DR: It is discovered that PcrA preferentially translocates on the DNA lagging strand instead of unwinding the template duplex, suggesting a mode of action for eliminating potentially deleterious recombination intermediates.
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Screening fluorescent voltage indicators with spontaneously spiking HEK cells.

TL;DR: A line of non-fluorescent HEK cells that stably express NaV 1.3 and KIR 2.1 and generate spontaneous electrical action potentials are introduced to enable rapid, electrode-free screening of speed and sensitivity of voltage sensitive dyes or fluorescent proteins on a standard fluorescence microscope.
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Single-molecule analysis reveals differential effect of ssDNA-binding proteins on DNA translocation by XPD helicase.

TL;DR: A multicolor single-molecule fluorescence approach to simultaneously monitor single-stranded DNA translocation by a helicase and the fate of another protein bound to the same DNA is developed.
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A comparative study of multivariate and univariate hidden Markov modelings in time-binned single-molecule FRET data analysis.

TL;DR: It is found that, if the noise in the signal is described with a proper probability distribution, MHMM generally outperforms UHMM and, in the case of multiple trajectories, analyzing them simultaneously gives better results than averaging over individual analysis results.