Search Results - zhong+chen

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Development of High-Throughput ELISA Based Binding Assays to Detect p53/p63/p73 Family Protein-DNA Interaction in the 96-well Microplate Format for Drug Screening and Other Clinical and Diagnostic Uses

This technology includes ELISA based binding assays of p53, p63 or p73 provide possibilities to validate genome sequencing results, and allow the performance of more in-depth investigation to address scientific mechanisms, as well as to develop applications for high-throughput clinical and diagnosis usages. While quantitative p53 binding assays have...

Published: 8/12/2024 | Inventor(s): Zhong Chen, Minyoung Jang

Keywords(s):

Category(s): Application > Diagnostics, Application > Research Materials, ResearchProducts > Research Equipment, TherapeuticArea > Oncology

Functions and Targets of Therapeutic MicroRNAs to Treat and Diagnose Cancer

This technology includes a method to identify potentially therapeutic microRNAs in cancer, particularly squamous cell carcinoma of the head and neck (HNSCC). This approach first utilizes a large and publicly available expression dataset, which is then validated by a smaller independent dataset to determine deregulated microRNAs expression. These results...

Published: 8/12/2024 | Inventor(s): Carter Van Waes, Anthony Saleh, Hui Cheng, Zhong Chen

Keywords(s):

Category(s): Application > Research Materials, Application > Therapeutics, TherapeuticArea > Oncology

Murine Cell Models for Metastatic Squamous Cell Carcinoma

Two cell lines isolated from Pam 212 cells (SCC): Pam LY (lymph node metastasis) and Pam LU (lung metastasis) from metastated in vivo growth in mouse. These stably established cell lines exhibited higher potential to metastasize to lymph nodes and lungs, respectively, in mouse models than their parental Pam 212 cells.

Published: 7/25/2024 | Inventor(s): Carter Van Waes, Zhong Chen

Keywords(s): AMD, BUT, CCXXXX, Establish, Including, Limit, Lines, LU, LU1, LY, LY-1, LY-2, LY-8, Pam, VCXXXX, WIXXXX

Category(s): Collaboration Sought > Licensing, Application > Research Materials, TherapeuticArea > Oncology

Novel Multi-Omics Aging Clock

A multi-omics clock analyzes multiple layers of omics data with machine learning to predict remaining lifespan of mammals, particularly for animal model studies. Large omics data sets may be used from combinations of genomics, proteomics, lipids, etc. available from blood or other simple sample collection. This tool can robustly capture changes...

Published: 3/12/2024 | Inventor(s): George Sutphin, Samuel Freitas, Megha Padi, Chen Chen

Keywords(s):

Category(s): Technology Classifications > Life Sciences > Biomarkers, Technology Classifications > Research Tools > Animal Models, Technology Classifications > Research Tools > Screening assays, Technology Classifications > Research Tools > Simulators and Modeling Tools

Autonomous Drone for railroad track inspection

Reference #: 01564 The University of South Carolina is offering licensing opportunities for Autonomous Drone for railroad track inspection Background: The current practices suffer from three main drawbacks: 1) Human pilot cost is significant. The schedule of the drone-based track inspection is contingent on the pilot’s availability rather than...

Published: 3/15/2023 | Inventor(s): Yu Qian, Yi Wang, Chen Chen

Keywords(s): autonomous drone, flight control, image processing, railroad track inspection, self-navigation

Category(s): Engineering and Physical Sciences

2015-671 Underground Shafts for Hydrogen Storage

SummaryResearchers at UCLA have developed an underground drilled shaft concept for storage of hydrogen or other gases.BackgroundOne challenge in creating a hydrogen economy is developing hydrogen gas storage solutions. Increased interest has helped the global hydrogen storage market grow to $2.6 billion in 2016, and it is expected to reach over $5...

Published: 7/19/2023 | Inventor(s): Adrienne Lavine, Hossein Kavehpour, Dante Simonetti, Richard Wirz, Chen Chen, Gabriela Bran, Gopinath Warrier, Hamarz Aryafar, Jonathon Kennedy, Joshua Jordan, Keith Lovegrove

Keywords(s): Energy & Water

Category(s): Energy & Environment > Energy Generation > Solar, Energy & Environment > Energy Storage