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

62 Scopus citations


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
Issue number9
StatePublished - Aug 28 2015


ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

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.