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Nat Methods. 2015 Sep;12(9):838-40. doi: 10.1038/nmeth.3483. Epub 2015 Jul 20.

Inferring transient particle transport dynamics in live cells.

Author information

1
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
2
Department of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, New York, USA.
3
Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, New York, USA.
4
Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, Virginia, USA.
5
Whitehead Institute for Biomedical Research, Cambridge, Massachusetts, USA.
6
Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Abstract

Live-cell imaging and particle tracking provide rich information on mechanisms of intracellular transport. However, trajectory analysis procedures to infer complex transport dynamics involving stochastic switching between active transport and diffusive motion are lacking. We applied Bayesian model selection to hidden Markov modeling to infer transient transport states from trajectories of mRNA-protein complexes in live mouse hippocampal neurons and metaphase kinetochores in dividing human cells. The software is available at http://hmm-bayes.org/.

PMID:
26192083
PMCID:
PMC4733533
DOI:
10.1038/nmeth.3483
[Indexed for MEDLINE]
Free PMC Article

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