title: Extracting intracellular diffusive states and transition rates from single-molecule tracking data.
abstract: We provide an analytical tool based on a variational Bayesian treatment of hidden Markov models to combine the information from thousands of short single-molecule trajectories of intracellularly diffusing proteins. The method identifies the number of diffusive states and the state transition rates. Using this method we have created an objective interaction map for Hfq, a protein that mediates interactions between small regulatory RNAs and their mRNA targets.
authors: Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
authors: Fredrik
authors: F
authors: Persson
authors: Martin
authors: M
authors: Lindén
authors: Cecilia
authors: C
authors: Unoson
authors: Johan
authors: J
authors: Elf
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D003198:Computer Simulation; D004926:Escherichia coli / Q000235:genetics / Q000378:metabolism*; D029968:Escherichia coli Proteins / Q000235:genetics / Q000378:metabolism*; D035001:Host Factor 1 Protein / Q000235:genetics / Q000378:metabolism*; D007700:Kinetics; D008390:Markov Chains; D008954:Models, Biological; D011485:Protein Binding; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D058727:RNA, Small Untranslated / Q000235:genetics / Q000378:metabolism
chemical_list: D029968:Escherichia coli Proteins; C087373:Hfq protein, E coli; D035001:Host Factor 1 Protein; D012333:RNA, Messenger; D058727:RNA, Small Untranslated
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