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Liquid Biopsy Diagnostic for Precursor Lesions of Pancreatic Cancer

These highly specific biomarkers distinguish potentially malignant mucinous cysts from benign nonmucinous cysts in the pancreas to help diagnose precursor lesions of pancreatic ductal adenocarcinoma. The biomarkers can be detected through enzymatic assays with exceptional accuracy and sensitivity.

A Cell-Based Seeding Assay for Huntingtin Aggregation

UCLA researchers from the Department of Psychiatry has created a novel cell-based seeding assay for sensitive, specific and high throughput detection of mutant Huntingtin proteins in biological samples.

Hydrostatic pressure-driven passive micropumps

Researchers at UCI have developed an inexpensive and entirely passive pump for microfluidic devices, which yields steady, controllable, and long-lived fluid flow through the device.

Genes, Proteins and Small Molecule Networks Responsible for Neuronal Regeneration

Through integrative analyses of the regeneration-associated gene expression profiling after peripheral nervous system (PNS) injury, combined with multi-level bioinformatics and experimental validation of network predictions, UCLA researchers in the Department of Neurology have identified a small molecule drug that significantly accelerates and improves dorsal root ganglia (DRG) neurite outgrowth in vitro and optic nerve outgrowth in vivo.

A Highly Error-Prone Orthogonal Replication System For Targeted Continuous Evolution In Vivo

Inventors at UC Irvine have engineered an orthogonal DNA replication system capable of rapid, accelerated continuous evolution. This system enables the directed evolution of specific biomolecules towards user-defined functions and is applicable to problems of protein, enzyme, and metabolic pathway engineering.

Global Training Of Neural Networks For Phenomic Classification

UCLA researchers in the Department of Electrical Engineering have developed a high-throughput, label-free cell classification method based on time-stretch quantitative phase imaging.

Respiratory Monitor For Asthma And Other Pulmonary Conditions

A patch sensor that is able to continuously monitor breathing rate and volume to diagnose pulmonary function and possibly predict and possibly prevent fatal asthma attacks.

Platform for predicting a compound’s cardioactivity

The invention is a platform that combines a screening system and machine learning algorithms to investigate and report the cardio-activity related information of a certain compound. Through screening cardiac tissue strips, the platform determines whether a compound is cardio-active or not, as well as the associated cardio-active mechanism based on a drug library that is automatically developed. Such information is crucial for the drug development process, especially for evidence based decisions.

Biomarkers for Port Wine Stain and Related Syndromes

Researchers at the University of California, Irvine (UC Irvine) have discovered specific biomarkers that will enable innovations in diagnosis, prognosis, monitoring, and therapy of PWS and other related syndromes.

A Combined Microfluidic and Fluorescence Lifetime Imaging(FLIM) Platform to Identify Mammalian Circulating Cancer Cells in Whole Blood

Separating and classifying circulating cancer cells from whole blood using a single cell trap microfluidic platform coupled with label free fluorescence life time imaging.

EpiSort: A Novel Method Using Deep Bisulfite Sequencing to Determine Immune Cell Types in Solid Tissue Samples

EpiSort is a novel method of using DNA methylation patterns to determine the proportion of immune cell populations in solid tissue samples.

An Electro-Optical System with a Computation Model for Scanning Human Body

The invention describes an Electro-Optical instrument and a computational model for functional scanning of human body and recovering its chromophores (water, lipid, oxygenated hemoglobin, and deoxygenated hemoglobin). It is a low cost portable system that integrates frequency domain and continuous wave domain for real time spectroscopic imaging of human tissue.

Active Nanoplatform with High Drug Loading Capacity for the Diagnosis and Treatment of Cancer

Researchers at the University of California, Davis have developed an active nanoplatform (F/HAPIN) for cancer diagnosis and therapy.

Nell-1 Regulates Neurogenesis And Nervous System Function

UCLA researchers in the Division of Plastic and Reconstructive Surgery at the Geffen School of Medicine and researchers at the School of Dentistry have identified neural EGFL Like 1 (Nell-1) protein as an essential molecule involved in neurogenic development and nervous system functional regulation.

Selective Plane Illumination for throughput three-dimensional time course imaging

The invention is a novel arrangement that provides high throughput 3D time coursing imaging solution. The setup, simply applied to the conventional inverted microscope, not only improves the imaging speed, resolution and field view, but also provides new capabilities for monitoring a much broader range of samples with various thicknesses and nature. These features combined open new frontiers for imaging applications, including tracking the development of cells in tissues, one of the ultimate goals for imaging.

High-Efficiency One-Cell-One-Bead Encapsulation In Droplets

A high-efficiency single-cell droplet encapsulation method to improve single cell pharmacological assay throughput.

Vessel Cross-Sectional Area Measurements Using CT Angiography

A new approach to visualizing small and stenotic vasculature not readily visible with modern day diagnostic computed tomography angiography.

A Way to Genetically Silence Calcium Signaling in Cells and Organisms and Derivates Thereof

UCLA researchers in the Department of Physiology have developed a method of genetically silencing calcium signaling in cells and organisms for use in studying aberrant calcium signaling in disease.

Wireless In Situ Sensors in Stents for the Treatment and Monitoring of Chronic Obstructive Lung Disease (COPD)

UCLA researchers in the Department of Electrical Engineering have developed a novel wireless sensor for external and internal biosensing applications.

A Prognostic And Diagnostic Algorithm For Various Molecular Subtypes Of Breast Cancers, Including Her2 Positive And Triple Negative Breast Cancers (TNBCs)

Breast cancer is second leading cause of death among women in the United States in 2016 and It is estimated to be responsible for over 40,000 deaths in 2017 (ACS). The use of biomarkers plays a key role in the management of patients with breast cancer, especially in the decision process to select the appropriate systemic therapy to be administered. Furthermore, the discovery of new tissue-based and gene biomarkers has led to the development of a “molecular signature” for predicting patient outcome and treatment modalities. There are three subtypes of breast cancer that are determined by performing specific tests on a sample of the tumor. The first subtype is a tumor that is positive/negative for a hormone receptor, either estrogen (ER) and/or progesterone (PR); tumors without these receptors are classified “hormone receptor-negative”. The second subtype is characterized by the overexpression the human epidermal growth factor receptor 2 (HER2) protein on the tumor.  HER2 proteins are receptors on normal breast cells and help control the growth, but when overexpressed make the tumor grow faster and are designated HER2-positive tumors. The last subtype is designated triple-negative, since it does not express ER, PR, and/or HER2. 

Methods and Compositions for Selective Testing of Mammalian Proteomics From Mixed Biological Environments

96 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} Studies of heterochronic parabiosis (surgical joining of young and old animals) suggest both productive tissue repair and the key signal transduction pathways that control stem cell activation are restored to ‘youth’ in the old parabionts by young systemic factors.  It would be beneficial from academic and clinical stand-points to determine which proteins in tissues of parabiotically connected animals are derived from the circulation of young versus old partner. Such a database of systemic proteins that end up in specific tissues would suggest potentially rejuvenating (young blood) and inhibitory (old blood) molecules with direct effects in a given tissue. While biochemical fractionation of serum and plasma can provide some characterization of the molecular differences between young and old circulatory milieu, this technique is fraught with the risk of missing proteins that act in complexes with each other and other macromolecules. UC Berkeley researchers have discovered methods and compositions that overcome these problems by relying on tRNA synthase that specifically recognizes and incorporates Bio-Orthogonal Non-Canonical Amino acid Tagging (“BONCAT”) into proteins. To facilitate detection by proteomics, we have selected the BONCAT method over the cell type-specific labeling with amino acid precursors where proteomes are tagged with heavy isotope—labeled precursors; and over the incorporation of Met analogs azidohomoalanine and homopropargylglycine, which do not allow one to selectively profile young versus old proteomes in settings of parabiosis. The researchers have also developed a novel transgenic mouse strain which demonstrate the survival and vigor of these animals as well as the effective proteome labeling of cells in vitro and all examined tissues in vivo.

Diagnosis and Treatment of Inflammatory Disease by Glycan Profiling of High Density Lipoprotein (HDL)

Researchers at the University of California, Davis have developed a method for diagnosing an individual patient’s risk of inflammatory disease based on glycan profiling of high density lipoprotein (HDL). The resulting profile is then used to recommend a treatment program of dietary, lifestyle, or pharmaceutical interventions (or combination thereof), to improve health and decrease the risk of inflammation-induced disease by modulating the patient’s HDL glycosylation pattern.

Device and Method to Assess Ocular Surface Health

Researchers at the University of California, Davis have developed a diagnostic device and method to determine ocular surface health.

Developing Physics-Based High-Resolution Head And Neck Biomechanical Models

UCLA researchers in the Department of Radiation Oncology at the David Geffen School of Medicine have developed a new computational method to model head and neck movements during medical imaging/treatment procedures.

Microfluidics Device For Digestion Of Tissues Into Cellular Suspension

A microfluidic device that separates single cells from whole tissue in a rapid and gentle manner using hydrodynamic fluid flow. The separated single cell suspensions can then be used in tissue engineering applications, regenerative medicine and the study of cancer.

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