Mohammad Zahid: Evaluating Mechanisms of Cytoplasmic Delivery of Nanoparticles through Single-Quantum Dot Tracking, Graduate Education & Research Seminar Series

March 21, 2017 at 3:10 PM - 4:00 PM

Tegeler Hall, Carlo Auditorium

Graduate Program, Research

Inefficient cytoplasmic delivery of macromolecules and nanoparticles has been an ongoing problem in targeted drug delivery, genetic engineering, and molecular imaging. The underlying multistep process of endocytosis and vesicular release are difficult to both understand and control due to a lack of accurate characterization tools. This presentation will discuss the application of imaging semiconductor nanoparticles, also known as quantum dots, in live cells in order to derive new classes of quantitative analysis metrics to understand mechanisms of intracellular delivery. This presentation will demonstrate how single-particle tracking lets us merge trajectory diffusion analysis with particle brightness measurements, and how this enables the quantification of nanoparticles loaded in single cells, particle cluster distribution, and cytosolic release. We use these metrics to evaluate independent contributions of uptake and vesicular release underlying osmotic pinosome lysis delivery for a diverse physicochemical range of nanomaterials.  We hope that this combination of quantum dots and single-particle imaging can be widely applied to inform nanomaterial design rules for next-generation molecular probes and macromolecular biologics.

Mohammad Zahid earned his B.S. in Biomedical Engineering and Mathematics from Saint Louis University in 2012. He is currently a PhD candidate the Department of Bioengineering at the University of Illinois at Urbana-Champaign working in Andrew Smith’s lab.  His research interests in include single-molecule imaging, cell-nanoparticle interactions, and quantitative bioimaging.

Back to All Events

Pictures from this Event

Error Connecting To Flickr. Please try again soon


Share Your Photos!

Tag your photos on Flickr. Showcase your pics for this event by tagging them on flickr.com with this machine tag: