Main Menu

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.

249 million people were afflicted with malaria in 2022. There are five Plasmodium parasite species that cause malaria in humans. Of the five, Plasmodium falciparum causes most of the incidence of human disease. Most advanced malaria vaccine candidates can confer only partial, short-term protection in malaria-endemic areas. The pathogenesis of malaria is associated with blood-stage infection and antibodies specific to the parasite blood-stage antigens may be able to control parasitemia.

This technology includes ten engineered human induced pluripotent stem cell (iPSC) lines with reported genes inserted into safe harbor sites for use in therapy and diagnostic screening assay development as well as basic stem cell biology research. These cell lines have the potential to differentiate into all cells in the body, and theoretically can proliferate/self-renew indefinitely.

This technology involves studying the role of the Tumor-Associated Calcium Signal Transducer 2 (TACSTD2) gene in Hepatitis C Virus (HCV) infection and hepatocellular carcinoma. Researchers perform transcriptomics analysis on liver specimens from HCV-infected patients, identify TACSTD2 as a key gene, and create a stable cell line that overexpresses TACSTD2 to investigate its impact on HCV infection and replication. This technology aims to provide insights into the molecular mechanisms of HCV infection and its association with liver cancer.

Antibodies are specialized proteins produced by the immune system which target and neutralize foreign materials, such as viruses or bacteria. Antibodies have a variety of useful applications in diagnostics, therapeutics, and as research reagents. Despite their widespread use there is no standard method to produce antibodies, and currently available methods are labor and time intensive.

This technology includes a blood flow imaging method that allows for a higher density of smaller particles to be detected. Current imaging methods that are based on Doppler measurements are limited by the discontinuity in the capillary flow in the space between red blood cells. The core technology is to use a scattering agent to enhance capillary flow or microcirculation. This technology has been tested for optical coherence Doppler tomography, but can be expended to any Doppler based flow imaging techniques such as laser speckle imaging.

This technology includes a gene-based magnetic resonance imaging (MRI) reporter platform that harnesses adeno-associated virus (AAV) delivery of the metal transporter Zip14 to create image contrast wherever the gene is expressed. By driving Zip14 from cell-specific promoters, investigators obtain robust, long-lasting signal changes on standard clinical MRI sequences (e.g., MPRAGE and GRE), enabling real-time visualization of living cells and their gene-expression patterns.

HCC is the most frequent malignant tumor in the liver and the third leading cause of cancer death worldwide.  A progressive sequence of somatic mutations and epigenetic changes of oncogenes or tumor suppressor genes are believed to cause tumor development. However, high genomic instability in tumors causes the accumulation of genomic aberrations that do not contribute to tumor progression. Therefore, it is important to distinguish between ''driver'' mutations that are functionally important and ''passenger'' mutations that do not provide a selective advantage to the tumor cells.