The Eunice Kennedy Schriver National Institute of Child Health and Human Development is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate, or commercialize a new method for stabilizing molecular complexes in polyacrylamide gels.

The tumor-suppressor p53 protein plays a major role in tumor development. Most human cancers fail to normally activate wild-type p53, which is at least partly responsible for the unregulated growth of cancer cells and their failure to undergo apoptosis. While many chemotherapeutics enhance p53 levels, their non-specific DNA damage (genotoxicity) causes unfavorable side effects.
 

Adoptive T cell therapy (ACT) with tumor infiltrating lymphocytes (TIL), T cell receptor (TCR) and Chimeric Antigen Receptor (CAR) engineered T cells, or hematopoietic stem cell transplantation, is a promising new approach to cancer treatment. ACT harnesses an individual's adaptive immune system to fight against cancer, with fewer side-effects and more specific anti-tumor activity. Despite their promise of ACT as curative, these therapies are often limited by the persistence and robustness of the responses of the T cells to the cancer cells.

Approximately one-third of non-syndromic retinal dystrophies involve a defect in a ciliary protein. Non-syndromic retinal ciliopathies include retinitis pigmentosa, cone dystrophy, cone-rod dystrophy, macular dystrophy, and Leber-congenital amaurosis (LCA). Many CEP290-LCA patients also exhibit auditory and olfactory defects. Induced pluripotent stem cells (iPS) cells were derived from patients with LCA and unaffected relatives. 
The National Eye Institute (NEI) seeks research collaborations and/or licensees for the use of these iPS cells.

In the United States alone, one of four cancer deaths occur from lung cancer and there are over 8 million individuals considered to be at high-risk due to cigarette smoking and other behaviors. It's well known that early detection of cancer significantly improves survival of this disease, however a lack of lung cancer screenings and analysis precludes fast results at a low cost.

Pancreatic ductal adenocarcinoma (PDA) accounts for more than 90% of pancreatic cancer cases, and it is one of the most aggressive malignancies with a 5-year survival rate of 6%. The high mortality rate caused by PDA is primarily from the lack of early diagnosis – it is often asymptomatic in early stages – and a poor response to conventional chemotherapy and radiotherapy. One of the major immune cell types present in the PDA microenvironment is a subset of macrophages commonly termed tumor-associated macrophages (TAM).

Chemotherapy resistance in a wide array of cancers is often associated with enhanced glucose uptake and dysregulation of the insulin signaling pathway.  Therapeutics capable of inhibiting insulin signaling would be valuable as a stand-alone treatment and for sensitizing resistant tumors to standard chemotherapy regiments.  Researchers at NCI’s Genitourinary Malignancies Branch have synthesized and developed a series of Englerin-A ana

Steroid hormones have been implicated to play a fundamental role in the pathogenesis of prostate cancer. Polymorphisms in the genes that code for enzymes, or hormones involved in androgen regulatory pathway, reportedly influence risk for developing prostate cancer. Since many membrane transporters are modulators of steroid hormones absorption and tissue distribution, genetic polymorphisms in genes encoding these transporters may account for the risk of prostate cancer and the predicting of survival.

Due to the large degree of homology among dopamine D2-like receptors, discovering ligands capable of discriminating between the D2, D3, and D4 receptor subtypes remains a significant challenge. The development of subtype-selective pharmaceutical small molecules to activate (agonists) signals regulated by D2-like receptors has been especially difficult. 

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.