Inferring transient particle transport dynamics in live cells

Nilah Monnier, Zachary Barry, Hye Yoon Park, Kuan Chung Su, Zachary Katz, Brian P. English, Arkajit Dey, Keyao Pan, Iain M. Cheeseman, Robert H. Singer, Mark Bathe

Research output: Contribution to journalArticle

72 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)838-840
Number of pages3
JournalNature Methods
Volume12
Issue number9
DOIs
StatePublished - Aug 28 2015

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

Fingerprint Dive into the research topics of 'Inferring transient particle transport dynamics in live cells'. Together they form a unique fingerprint.

  • Cite this

    Monnier, N., Barry, Z., Park, H. Y., Su, K. C., Katz, Z., English, B. P., Dey, A., Pan, K., Cheeseman, I. M., Singer, R. H., & Bathe, M. (2015). Inferring transient particle transport dynamics in live cells. Nature Methods, 12(9), 838-840. https://doi.org/10.1038/nmeth.3483