Extracting intracellular diffusive states and transition rates from single-molecule tracking data
- PMID: 23396281
- DOI: 10.1038/nmeth.2367
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.
Comment in
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To unscramble an egg.Nat Methods. 2013 Mar;10(3):208-9. doi: 10.1038/nmeth.2379. Nat Methods. 2013. PMID: 23443632 No abstract available.
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