Stat1LoxP (Stat1 tm1Mam ) Mouse Model for Oncology and Immunology Studies

Selective inactivation of Stat1 in mammary cells indicates that its effect as a tumor suppressor in breast is direct.

STAT1 is considered a tumor suppressor, but it is not known if this effect occurs directly in mammary cells or secondarily by disrupting interferon signaling through the JAK/STAT1 pathway to induce immune responses. ERBB2/neu-induced breast cancer appeared sooner in mice lacking STAT1 only in mammary cells than in wild-type mice, indicating that STAT1 tumor suppression was intrinsic to mammary cells and not secondary to an induced immune response.

A Mouse Model for Systemic Inflammation in Glucocerebrosidase-Deficient Mice with Minimal Glucosylceramide Storage

Gaucher disease, the most common lysosomal storage disease, is an inherited metabolic disorder in which harmful quantities of the lipid glucocerebroside accumulate in the spleen, liver, lungs, bone marrow and in rare cases in the brain, due to a deficiency of the enzyme glucocerebrosidase (Gba) that catalyses the first step in the biodegradation of glucocerebrosides. Type 1 Gaucher disease is the most common and is distinguished from the other forms of the disease, types 2 and 3, by the lack of neurologic involvement.

Rapid and Sensitive Detection of Nucleic Acid Sequence Variations

The ability to easily detect small mutations in nucleic acids, such as single base substitutions, can provide a powerful tool for use in cancer detection, perinatal screens for inherited diseases, and analysis of genetic polymorphisms such as genetic mapping or for identification purposes. Current approaches make use of the mismatch that occurs between complimentary strands of DNA when there is a genetic mutation, the electrophoretic mobility differences caused by small sequence changes, and chemicals or enzymes that can cleave heteroduplex sites.

Autodock Vina Software Process for Efficient Large-Scale Cognate Ligand Screening

The invention pertains to software processes, additions, and docking approaches to Autodock Vina that speeds the rate and efficiency of analyzing ligand interactions with a receptor by cognate ligands and rewards conformations in the scoring algorithm for residue interactions that are based on the biological data. The score is multiplied by a weighting factor to control the degree of ligand-residue interactions that are considered. This multiplier is then added to the docking score for confirmation.