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Nat Methods. 2013 Mar;10(3):265-9. doi: 10.1038/nmeth.2367. Epub 2013 Feb 10.

Extracting intracellular diffusive states and transition rates from single-molecule tracking data.

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1
Department of Cell and Molecular Biology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.

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.

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PMID:
23396281
DOI:
10.1038/nmeth.2367
[Indexed for MEDLINE]

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