Extracting intracellular diffusive states and transition rates from single-molecule tracking data.
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Persson F, Lindén M, Unoson C, Elf J
Nat. Methods 10 (3) 265-269 [2013-03-00; online 2013-02-10]
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.
PubMed 23396281
DOI 10.1038/nmeth.2367
Crossref 10.1038/nmeth.2367
pii: nmeth.2367