Extracting intracellular diffusive states and transition rates from single-molecule tracking data.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 23396281.
- Also identified by DOI 10.1038/nmeth.2367.
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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.
Medical subject headings
- Escherichia coli
- Escherichia coli Proteins
- Host Factor 1 Protein
- Markov Chains
- Models, Biological