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The National Cancer Institute seeks interested parties to co-develop transgenic mice having immunocompetent rat growth hormone-firefly Luciferase-enhanced green fluorescent protein.

Current methods of labeling and synthesizing RNA do not allow for multiple labels or long RNA segments to be synthesized for large RNA on a milligram scale.

The successful treatment of cancer is correlated with the early detection of the cancerous cells. Conventional cancer diagnosis is largely based on qualitative morphological criteria, but more accurate quantitative tests could greatly increase early detection of malignant cells. It has been observed that the spatial arrangement of DNA in the nucleus is altered in cancer cells in comparison to normal cells. Therefore, it is possible to distinguish malignant cells by mapping the position of labeled marker genes in the nucleus.

Researchers at the NCI Radiation Oncology Branch  and NIH CIT Center for Molecular Modeling developed a tetrahydroxamate chelation technology that provides a more-stable Zr-89 complex as an immuno-PET cancer imaging agent. In either the linear or the macrocyclic form, the tetrahydroxamate complexes exhibit greater stability as chelating agents compared to Zr-89 complexed to the siderophore desferrioxamine B (DFB), a trihydroxamate, which represent

The NCI Radiation Oncology Branch and the  NHLBI Laboratory of Single Molecule Biophysics seek parties to co-develop fluorescent  nanodiamonds for use as in vivo and in vitro optical tracking probes toward commercialization.  

The successful development of new cancer therapeutics requires reliable preclinical data that are obtained from mouse models for cancer. Human tumor xenografts, which require transplantation of human tumor cells into an immune compromised mouse, represent the current standard mouse model for cancer. Since the immune system plays an important role in tumor growth, progression and metastasis, the current standard mouse model is not ideal for accurate prediction of therapeutic effectiveness in patients.

Available for commercial development is software that provides automatic visualization of features inside biological image volumes in 3D. The software provides a simple and interactive visualization for the exploration of biological datasets through dataset-specific transfer functions and direct volume rendering. The method employs a K-Means++ clustering algorithm to classify a two-dimensional histogram created from the input volume. The classification process utilizes spatial and data properties from the volume.

 The National Cancer Institute seeks parties interested in collaborative research to evaluate or commercialize a diagnostic tool that can identify new drugs that increase chromosome instability.  Although chromosomal instability is generally thought of as a driver of tumor growth, a threshold level exists where CIN becomes a barrier to tumor growth and therefore can be exploited therapeutically.

The National Cancer Institute''s Laboratory of Cell Biology is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate, or commercialize bodipy conjugated tyrosine kinase inhibitors that are currently used in the clinic for the treatment of CML or gastric cancers. We are also interested in evaluating third generation tyrosine kinase inhibitor derivatives as modulators of ABC drug transporters to improve the efficiency of chemotherapy in animal (mouse) model system.

The National Cancer Institute’s Protein Expression Laboratory seeks parties to co-develop dual luminescent/fluorescent cancer biomarkers.

In research settings, visualization of  tumors or tumor cells is often done using either bioluminescence or fluorescence.  However, both of these methods have shortcomings: bioluminescence is not sensitive enough to sort individual tumor cells, and fluorescence cannot be used effectively to view internal tumors and is best used with surface tumors.