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A Novel Transgenic Zebrafish Line Reporting Dynamic Epigenetic Changes

The Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) seeks licensees for a novel “EpiTag” epigenetic reporter transgenic zebrafish line that provides a versatile and powerful whole-animal platform for visualizing and assessing the effects of mutants, experimental treatments, or chemical compounds targeting epigenetic regulation as well as studying epigenetic regulation of global- or tissue-specific gene expression during development.

Autophagy Modulators For Use in Treating Cancer

Investigators from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) have identified five autophagy-inhibiting compounds (WX8 family) through a high-throughput screening. The NICHD seeks licensees and/or co-development partners for methods to treat cancer by administering these autophagy-inhibiting compounds.

Cell Lines Expressing Nuclear and/or Mitochondrial RNAse H1

The National Institute of Child Health & Human Development (NICHD), Program in Genomics of Differentiation, seeks interested parties to further co-develop small molecule inhibitors of RNase H1, especially in regards to genome instability, transcription, and translation.

Diagnostic Assays for the Detection of Thyroid Cancer

The Eunice Kennedy Shriver National Institute of Child and Human Development’s (NICHD) Pediatric Growth and Nutrition Branch seek partners to co-develop a diagnostic assay to detect thyroid cancer.

MADCO-Accelerated Multidimensional Diffusion MRI

The marginal distribution constrained optimization (MADCO) methodology is disclosed wherein a 2D (or higher-dimensional) spectrum is estimated from initial 1D marginal distribution data. These 1D marginal distributions are used as constraints in the reconstruction of the 2D spectra. MADCO accelerates and improves the reconstruction of multidimensional NMR relaxation/diffusion spectra, making it suitable for MRI applications on a voxel-by-voxel basis by vastly reducing the amount of data acquired and data necessary for creating MRI images.