MRG mdx4Cv: These mdx4Cv/NRG mutant mice are an immune-deficient irradiation resistant model of Duchenne muscular dystrophy (DMD) for transplantation experiments with human cells, such as human induced pluripotent stem cells (hiPSC).
Researchers in Dr. Michelle Monje-Deisseroth's lab at Stanford have recently identified therapeutic targets for drug development to limit the spread of high-grade gliomas (HGGs).
Transgenic mice carrying reporter genes are extremely useful tools in modern biomedical science to unravel various underlying molecular mechanisms crucial for normal development, as well as, disease progression.
Researchers at the Solgaard Lab have demonstrated that light sheet fluorescence microscopy (LSFM) with structured and pivoting illumination enables fast image acquisition and improved image quality.
Stanford researchers have developed a quantitative, noninvasive, and early predictor of viability at the early embryo and oocyte stage using mechanical biomarkers.
This invention describes the designing of biochemical probes for acid-fast bacteria detection. This probe will measure the presence of acid-fast bacteria in a biological matrix.
Researchers in Prof. Julia Salzman's laboratory have developed a sensitive, specific algorithm for automated, high-throughput detection of RNA fusions from RNA-Seq data.
Researchers at Stanford have developed methods for preparing photo-, and chemical-, cross-linkable three-dimensional matrices for the controlled delivery of bioactive molecules for therapeutic applications.
The technologies described in this patent address a critically important deficit in the statistical methods available to enable comparison of outcomes measured by flow cytometry or similar, data intensive technologies.
Stanford researchers have invented a novel concept to prevent or minimize scar formation during injury by controlling the mechanical environment through molecular targeting of mechanotransduction sensors including focal adhesion kinase (FAK).
Researchers in Dr. Daniel Rubin's lab have developed a method for computational analysis of digital pathology images for computer aided diagnosis and discovery of novel disease subtypes.
Stanford researchers have developed a statistical algorithm termed Single Cell Linkage Using Distance Elimination (SLIDE) to analyze large-scale data sets without reducing their dimensionality, including those generated by single-cell mass cytometry.
A team of Stanford researchers has identified mutations in the LNK gene in a subset of patients with chronic myeloproliferative neoplasms (MPNs). LNK (also known as SH2B3) is an adaptor protein that inhibits JAK-STAT signaling.