The Ribopuromycylation (RPM) technology, developed by Dr. Jon Yewdell and Dr. Alexandre David, offers a powerful and universal method for visualizing and studying protein translation within cells. RPM involves the use of puromycin, a molecule that mimics a tyrosyl-tRNA and terminates translation by becoming covalently incorporated into the nascent protein chain's C-terminus within the ribosome's A site. This technique enables the immobilization of puromycylated nascent protein chains on ribosomes when chain elongation inhibitors like cycloheximide or emetine are utilized.
Optical traps (optical tweezers) have a focused laser beam able to trap a small bead at its focus, and are used to measure the microrheology of gels and other materials. They have recently been used to characterize properties of living cells, however issues of image spatial resolution and limited depth of interrogation have prevented application of an optical trap to measure microrheological (flow of matter) properties in complex (non-uniform) materials, such as multi-cellular systems or living organisms.
This technology includes six human monoclonal antibodies (mAbs) that target tumor antigens derived from the CT-RCC HERV-E (human endogenous retrovirus type E) to generate Chimeric Antigen Receptor (CAR) T cells to treat patients with advanced clear cell renal cell carcinoma (ccRCC). These mAbs were identified from Adagene Inc’s human antibody phage library, and data show that majority of these mAbs only bind to CT-RCC HERV-E+ ccRCC cells, which express TM but not CT-RCC HERV-E non-expressing ccRCC cells nor non-RCC cells.
This technology includes a transgenic reporter mouse that expresses a fluorescent protein called mt-Keima, to be used to detect and quantify in vivo mitophagy. This fluorescent protein was originally described by a group in Japan and shown to be able to measure both the general process of autophagy and mitophagy. We extended these results by creating a living animal so that we could get a measurement for in vivo mitophagy. Our results demonstrate that our mt-Keima mouse allows for a straightforward and practical way to quantify mitophagy in vivo.
This technology includes a fully automatic 3D image processing system to segment the heart as well as other organs from contrast-enhanced cardiac computed tomography (CCT) images. Our method detects four cardiac chambers including left ventricle, right ventricle, left atrium, right atrium, as well as the ascending aorta and left ventricular myocardium. It also classifies noncardiac tissue structures in the CCT images such as lung, chest wall, spine, descending aorta, and liver.