@article {47398,
	title = {Mapping translation {\textquoteright}hot-spots{\textquoteright} in live cells by tracking single molecules of mRNA and ribosomes.},
	journal = {eLife},
	volume = {5},
	year = {2016},
	month = {2016},
	abstract = {<p>Messenger RNA localization is important for cell motility by local protein translation. However, while single mRNAs can be imaged and their movements tracked in single cells, it has not yet been possible to determine whether these mRNAs are actively translating. Therefore, we imaged single β-actin mRNAs tagged with MS2 stem loops colocalizing with labeled ribosomes to determine when polysomes formed. A dataset of tracking information consisting of thousands of trajectories per cell demonstrated that mRNAs co-moving with ribosomes have significantly different diffusion properties from non-translating mRNAs that were exposed to translation inhibitors. These data indicate that ribosome load changes mRNA movement and therefore highly translating mRNAs move slower. Importantly, β-actin mRNA near focal adhesions exhibited sub-diffusive corralled movement characteristic of increased translation. This method can identify where ribosomes become engaged for local protein production and how spatial regulation of mRNA-protein interactions mediates cell directionality.</p>
},
	issn = {2050-084X},
	doi = {10.7554/eLife.10415},
	author = {Katz, Zachary B and English, Brian P and Lionnet, Timoth{\'e}e and Yoon, Young J and Monnier, Nilah and Ovryn, Ben and Bathe, Mark and Singer, Robert H}
}
@article {46929,
	title = {Inferring transient particle transport dynamics in live cells.},
	journal = {Nature Methods},
	volume = {12},
	year = {2015},
	month = {2015 Jul 20},
	pages = {838-40},
	abstract = {<p>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/.</p>
},
	issn = {1548-7105},
	doi = {10.1038/nmeth.3483},
	author = {Monnier, Nilah and Barry, Zachary and Park, Hye Yoon and Su, Kuan-Chung and Katz, Zachary and English, Brian P and Dey, Arkajit and Pan, Keyao and Cheeseman, Iain M and Singer, Robert H and Bathe, Mark}
}
