A high-throughput functional genomics approach combining inducible CRISPR-interference and quantitative imaging yields an atlas of 'phenoprints' to guide gene function assignments, identify metabolic pathway-specific morphotypes, and inform antibiotic mechanism-of-action studies.
A new tool to visualize blood-feeding mosquitoes in high resolution and quantitatively characterize their behavior sheds light on contact-dependent sensing and blood-feeding dynamics of several medically relevant mosquito species.
The structure-based design established a new approach to control pathway-selective activation of opioid receptors, resulting in new dual MOR/KOR G-protein biased agonist analgesics with attenuated liabilities.
Development of a fully automated pain scale using machine learning tools in computational neuroethology and creation of new software, reveals a robust circuit-dissection compatible platform for objective pain measurement.
Propagation, speed and shapes of genetic waves of expression during development can be modeled by a simple interplay between two transcriptional modules (dynamic/static), which explains robustness and precision of patterning.