Biology subjects

Dong, P.

Publications and source records attributed to Dong, P..

3 recordsLinked to original sources

bioRxiv2018

High-Speed Imaging of Paw Withdrawal Reflex to Objectively Assess Pain State in Mice

Rodents are often used for studying chronic pain mechanisms and developing new pain therapeutics, but objectively determining the animals pain state is a major challenge. To improve the precision of using reflexive withdrawal behaviors for interpreting the mouse pain state, we adopted high-speed videography to capture sub-second movement features of mice upon hind paw stimulation. We identified several parameters that are significantly different between behaviors evoked by innocuous and noxious stimuli, and combined them to map the mouse pain state through statistical modeling and machine learning. To test the utility of this approach, we determined the pain state triggered by von Frey hairs (VFHs) and optogenetic activation of two nociceptor populations. Our method reliably assesses the \"pain-like\" probability for each mouse paw withdrawal reflex under all scenarios, highlighting the improved precision of using this high resolution behavior-centered composite methodology to determine the mouse pain state from reflexive withdrawal assays.

neuroscience↗

bioRxiv2017

Dynamic and Selective Low-Complexity Domain Interactions Revealed by Live-Cell Single-Molecule Imaging

Many eukaryotic transcription factors (TFs) contain intrinsically disordered low-complexity domains (LCDs) but how they perform transactivation functions remains unclear. Recent studies report that TF-LCDs can undergo hydrogel formation or liquid-liquid phase separation in vitro. Here, live-cell single-molecule imaging reveals that TF-LCDs form local high concentration interaction hubs at synthetic and endogenous genomic loci. TF-LCD hubs stabilize DNA binding, recruit RNA polymerase II (Pol II) and activate transcription. LCD-LCD interactions within hubs are highly dynamic, display selectivity with binding partners, and are differentially sensitive to disruption by hexanediols. These findings suggest that under physiological conditions, rapid reversible and multivalent LCD-LCD interactions occur between TFs and the Pol II machinery, which underpins a central mechanism for transactivation and plays a key role in gene expression and disease.

biophysics↗

bioRxiv2017

Stochastic Protein Labeling Enables Long-term Single Molecule Observation In Vivo

Our ability to unambiguously image and track individual molecules in live cells is limited by packing of multiple copies of labeled molecules within the resolution limit. Here we devise a universal genetic strategy to precisely control copy number of fluorescently labeled molecules in a cell. This system has a dynamic titration range of >10,000 fold, enabling sparse labeling of proteins expressed at different abundance levels. Combined with photostable labels, this system extends the duration of automated single-molecule tracking by 2 orders of magnitude. We demonstrate long-term imaging of synaptic vesicle dynamics in cultured neurons as well as in intact zebrafish. We found axon initial segment utilizes a waterfall mechanism gating synaptic vesicle transport polarity by promoting anterograde transport processivity. Long-time observation also reveals that transcription factor hops between clustered binding sites in spatially-restricted sub-nuclear regions, suggesting that topological structures in the nucleus shape local gene activities by a sequestering mechanism. This strategy thus greatly expands the spatiotemporal length scales of live-cell single-molecule measurements, enabling new experiments to quantitatively understand complex control of molecular dynamics in vivo.

biophysics↗