CODEFACS and LIRICS: Computation Tools for Identifying Cell-Type Specific Gene Expression Levels in Tumors and Other Types of Samples

Description of Technology:

The tumor microenvironment (TME) is a complex mixture of cell types whose interactions affect tumor growth and clinical outcome. Recent studies using fluorescence-activated cell sorting (FACS) and single-cell RNA sequencing (RNAseq) to elucidate tissue composition and cell-cell interactions in the TME led to improved biomarkers of patient response and new treatment opportunities.

SMAD3 Reporter Mouse for Assessing TGF-ß/Activin Pathway Activation

Description of Technology:

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.

Adriamycin-Resistant Ovarian Tumor Cell Line, NCI/ADR-RES

Summary:

NCI is seeking parties to non-exclusively license the ADR-RES cell line.

Description of Technology:

Cancer cells may acquire drug resistance after prolonged chemotherapy. In many cases, cancer cells develop resistance to several drugs with distinct structures and modes of action. This multi-drug resistance phenomenon increases the complexity of cancer treatment.

CytoSig: A Software Platform for Predicting Cytokine Signaling Activities, Target Discovery, and Clinical Decision Support System (CDSS) from Transcriptomic Profiles

Description of Technology:

Cytokines are a broad category of intercellular signaling proteins that are critical for intercellular communication in human health and disease. However, systematic profiling of cytokine signaling activities has remained challenging due to the short half-lives of cytokines, and the pleiotropic functions and redundancy of cytokine activities within specific cellular contexts.

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.