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for BIO 2024
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Assay
11 results
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Assay for neurotransmitter leakage detection using fluorescent analogues
CU22294
This technology is an advanced in vitro assay leveraging false fluorescent neurotransmitters (FFNs) to detect and quantify neurotransmitter leakage from synaptic vesicles, offering a dynamic and high-throughput method with implications for understanding neurological diseases and therapeutic developments.
The Technology: Real-time assay for neurotransmitter leakage using fluorescent analogues.
8AssayHigh-throughput screeningIsotopic labeling
Gary MillerMeghan L. Bucher
Joan Martinez
Environmental Health Science
Mailman School Of Public Health (MSPH)
2023-09-08
Engineered model of human bone marrow for diagnosis and prediction of cancer metastasis
CU23273
Unmet Need: Assay for patient-specific prediction of cancer progression.
As a result, there is a significant unmet need for an off-the-shelf, practical, and non-invasive assay to evaluate metastatic potential for a given patient and to predict cancer progression, potential for relapse, and response to therapeutics.
The Technology: Off-the-shelf, non-invasive assay for prediction of cancer metastasis.
12AssayBone marrowCancer staging
Daniel Naveed TavakolGordana Vunjak-NovakovicPamela Graney
Cynthia Lang
Biomedical Engineering
Fu Foundation School of Engineering and Applied Science (SEAS)
2024-04-08
Cell-type specific covalent modifications of proteins in vivo
CU22274
The Technology: Cell-type specific, adaptable assay for covalently linking proteins in vivo.
There are currently no assay platforms available that enable direct covalent bonding of two peptides in vivo with cell type-specificity without interfering with native protein structure, localization, or function.
18AssayAntibodyAntigen
Richard S. MannSiqian Feng
Jerry Kokoshka
Biochemistry & Molecular BiophysicsBiochemistry & Molecular Biophysics, Zuckerman Institute
Columbia University Medical Center (CUMC)
2022-06-19
Non-invasive imaging analysis for predicting lung adenocarcinoma subtypes
CU20338
Applications: Diagnostic assay for lung cancer.
7AssayAdenocarcinomaBiomarker
Binsheng ZhaoLarry SchwartzLin Lu
Sara Gusik
Radiology
College of Physicians and Surgeons (CUMC)Columbia University Medical Center (CUMC)
2020-10-15
In-situ wound healing model
CU24060
The most common method to model wound healing in-situ is the “scratch assay”, in which a cell monolayer is divided with a scratched line and allowed to migrate and fill the space.
More accurately mimics the wound healing process compared to classical scratch assays.
While current methods offer high throughput testing, these assays do not accurately capture all four stages of wound healing; therefore, more comprehensive high throughput models are needed to study wound healing and evaluate potential therapies to improve healing response.
16AssayCell adhesionCell culture
Dreyton AmadorYvon Woappi
Sara Gusik
Physiology and Cellular Biophysics
Columbia University Medical Center (CUMC)
2024-01-04
Multiplexing approach and associated image splitter for high-speed characterization
CU23161
Strategic algorithm for antibody-based assay.
12AssayAntibodyBeam splitter
Citlali Perez-Campos MSElizabeth HillmanMalte Casper
Kristin Neuman
Biomedical Engineering
Fu Foundation School of Engineering and Applied Science (SEAS)
2023-12-28
Speech analysis software for diagnosis of dementias
CU23077
Unmet Need: Affordable, noninvasive diagnostic assay to detect cognitive impairments.
The currently available diagnostic assays remain invasive, costly and are unable to detect early stages of disease.
Applications: Diagnostic assays for mild cognitive impairment, Alzheimer’s disease, and related dementias.
15AssayAcousticsAlgorithm
Maryam Zolnoori
Sara Gusik
School of Nursing
School of Nursing (CUMC)
2023-03-08
Nanobodies for diagnosis, treatment and prevention of infection and disease caused by SARS-CoV-2 and variants
CU21304
Diagnostic assay for COVID-19 and variants.
12AssayAngiotensinEnzyme
Thomas BrieseW. Ian Lipkin M.D.
Kristin Neuman
Epidemiology
Mailman School Of Public Health (MSPH)
2023-02-17
High-throughput in vivo mRNA-based proteomics via next-generation sequencing
CU20206
This technology is an assay that utilizes mRNA display technology for high-throughput proteomic analysis by linking expressed proteins to their corresponding mRNA sequences.
13AssayAntigenDNA sequencing
Panagiotis OikonomouSaeed Tavazoie
Joan Martinez
BiochemistrySystems Biology
Columbia University Medical CenterColumbia University Medical Center (CUMC)
2021-01-29
Sorting of extracellular vesicles for precise, cell-specific diagnostics
CU19242
Applications: Diagnostic assay for cancer and other organ-centered diseases.
7AssayCardiac muscle cellCellular differentiation
Bohao LiuBryan WangGordana Vunjak-Novakovic
Cynthia Lang
Biomedical EngineeringProgram in Cellular, Molecular, Structural and Genetic Studies
Faculty of the Arts & SciencesFu Foundation School of Engineering and Applied Science (SEAS)
2020-01-13
Prediction of post-heart transplant primary graft dysfunction using exosome proteins
CU18316
This technology predicts a patient’s risk of developing primary graft dysfunction (PGD) after a heart transplant by measuring levels of exosome proteins such as kallikrein (KLKB1), to improve risk stratification, organ allocation, and post-operative care.
14AssayAlgorithmAllotransplantation
Barry FineNicholas P. TatonettiNicolas Giangreco
Kristin Neuman
Biomedical InformaticsMedicineSystems Biology
Columbia University Medical Center (CUMC)
2018-04-02
    • Tags
      • 23
        High-throughput screening
      • 11
        Assay
      • 8
        Protein
      • 6
        Biomarker
      • 6
        Gene expression
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    • Categories
      • 11
        Biology
      • 10
        Branches of biology
      • 6
        Anatomy
      • 9
        Biotechnology
      • 3
        Bioinformatics
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    • Inventors
      • 2
        Gordana Vunjak-Novakovic
      • 1
        Barry Fine
      • 1
        Binsheng Zhao
      • 1
        Bohao Liu
      • 1
        Bryan Wang
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    • Manager
      • 3
        Kristin Neuman
      • 3
        Sara Gusik
      • 2
        Cynthia Lang
      • 2
        Joan Martinez
      • 1
        Jerry Kokoshka
      • Add ...
    • Departments
      • 3
        Biomedical Engineering
      • 2
        Systems Biology
      • 1
        Biochemistry
      • 1
        Biochemistry & Molecular Biophysics
      • 1
        Biochemistry & Molecular Biophysics, Zuckerman Institute
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    • Divisions
      • 5
        Columbia University Medical Center (CUMC)
      • 3
        Fu Foundation School of Engineering and Applied Science (SEAS)
      • 2
        Mailman School Of Public Health (MSPH)
      • 1
        College of Physicians and Surgeons (CUMC)
      • 1
        Columbia University Medical Center
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    • Reference Number
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    • Release Date
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