Summary:
The National Cancer Institute (NCI) seeks research co-development partners and/or licensees for a delivery system to improve transplant outcomes through inhibition of the JAK/STAT pathway.
Description of Technology:
Value Proposition
Summary:
The National Cancer Institute (NCI) seeks research co-development partners and/or licensees for engineered chimeric snoRNA guides that recruit NAT10 to a specific target and cause directed acetylation of the target. They could be used to treat haploinsufficiency-associated disorders or diseases.
Description of Technology:
Nuclear medicine is the second largest source of medical radiation exposure to the general population after computed tomography imaging. Imaging modalities utilizing nuclear medicine produce a more detailed view of internal structure and function and are most commonly used to diagnose diseases such as heart disease, Alzheimer’s and brain disorders. They are used to visualize tumors, abscesses due to infection or abnormalities in abdominal organs.
Multi-parameter flow cytometry has been extensively used in multiple disciplines of biological discoveries, including immunology and cancer research. However, the disadvantage of traditional flow cytometry platforms using excitation lasers and fluorescence detectors is spectral overlap when using multiple dyes on the same biological sample. Metaethical compensation of spectral overlap could only be effective to a certain degree. Mass cytometry is advantageous compared to flow cytometry but is pricey and requires highly skilled operators.
Extracellular Vesicles (EVs), including exosomes and microvesicles, are nanometer-sized membranous vesicles that can carry different types of cargos, such as proteins, nucleic acids and metabolites. EVs are produced and released by most cell types. They act as biological mediators for intercellular communication via delivery of their cargos. This unique ability spurred translational research interest for targeted delivery of therapeutic molecules to treat a wide range of diseases. EVs also contain interesting information of their specific cellular origin.
The Transforming Growth Factor Beta (TGF-ß) ligands (i.e., TGF-ß1, -ß2, -ß3) are key regulatory proteins in animal physiology. Disruption of normal TGF-ß signaling is associated with many diseases from cancer to fibrosis. In mice and humans, TGF-ß activates TGF-ß receptors (e.g., TGFBR1), which activates SMAD proteins that alter gene expression and contribute to tumorigenesis. Reliable animal models are essential for the study of TGF-ß signaling.
The baculovirus-based protein expression system has gained increased prominence as a method for expressing recombinant proteins that are used in a wide range of biomedical applications. An important step in the use of this system is the ability to determine the virus infectious titer, i.e., the number of active baculovirus particles produced during an infection of the insect host cell.
Researchers at the National Eye Institute (NEI) have discovered an invention describing a composition and method(s) of using such composition for preserving viability of cells, tissues, or organs at a low temperature (around 4ºC). Current cold storage solutions or methods for cells, tissues, and organs are suboptimal due to irreversible damage to cold-sensitive tissue or organ transplants that need a longer term of storage for facilitating clinical practices.
Baculoviruses have been used for decades to produce proteins in insect cell hosts. Current systems for generating recombinant baculovirus have several shortcomings which prevent their easy use in high-throughput applications.
Medical image datasets are an important clinical resource. Effectively referencing patient images against similar related images and case histories can inform and produce better treatment outcomes. Labeling and identifying disease features and relations between images within a large image database has not been a task capable of automation. Rather, it is a task that must be performed by highly trained clinicians who can identify and label the medically meaningful image features.