DeePlexing – Extending Imaging Multiplexity Using Machine Learning

Spatial proteomics and transcriptomics are fast-emerging fields with the potential to revolutionize various branches of biology. In the last five years, various multiplex immunofluorescence and immunohistochemistry imaging methods have been developed to stain 5-60 different protein markers in a given tissue. Nonetheless, most of these techniques are iterative and can image a maximum of 3-8 markers in a single cycle, resulting in processing time of several hours to days.

Fluorescence Scanning System for Improvement of Analytical Ultracentrifugation

This technology includes improvements in the fluorescence scanner to increase efficiency. This method works by eliminating the need to radially slide the optical assembly during scanning, instead using a galvanometric mirror deflecting a laser beam to different positions in the sample. This allows the scanner to be incorporated into existing commercial analytical ultracentrifugation (AUC) systems with minimal modifications.

High-Throughput Assay for Detection and Monitoring of Endocrine Disrupting Chemicals in Water Sources

Description of Technology:

There is growing awareness that a wide variety of synthetic and natural compounds that may be present in water sources, such as streams, wells, and ground water, may lead to adverse health effects, including increased cancer risk. Even low concentrations of these compounds are of concern, as they may have biological effects at concentrations of parts per billion or less.

A Preclinical Model for Mutant Human EGFR-driven Lung Adenocarcinoma

Description of Technology:

Previously described epidermal growth factor receptor- (EGFR) driven tumor mouse models develop diffuse tumors, which are dissimilar to human lung tumor morphology and difficult to measure by CT and MRI scans. Scientists at the National Cancer Institute (NCI) have developed and characterized a genetically engineered mouse (GEM) model of human EGFR-driven tumor model (hEGFR-TL) that recapitulates the discrete lung tumor nodules similar to those found in human lung tumor morphology.

A Preclinical Orthotopic Model for Glioblastoma Multiforme that Represents Key Pathways Aberrant in Human Brain Cancer

Description of Technology:

Current therapies for glioblastoma multiforme (GBM), the highest grade malignant brain tumor, are mostly ineffective, and better preclinical model systems are needed to increase the successful translation of drug discovery efforts into the clinic. Scientists at the National Cancer Institute (NCI) have developed and characterized an orthotopic genetically engineered mouse (GEM)-derived model of GBM that closely recapitulates various human GBM subtypes and is useful for preclinical evaluation of candidate therapeutics.

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