Cell avidity publications
Chockley et al. Synapse-tuned CARs enhance immune cell anti-tumor activity Nat. Biotech.,2023
Wang et al. Acoustic force-based cell–matrix avidity measurement in high throughput. Biosensors 2023
Perriello et al., IL3-zetakine combined with a CD33 costimulatory receptor as a dual CAR approach for safer and selective targeting of AML. Blood Adv., 2022
Li et al. KIR-based inhibitory CARs overcome CAR-NK cell trogocytosis-mediated fratricide and tumor escape. Nat. Med.,2022
Leick et al. Non-cleavable hinge enhances avidity and expansion of CAR-T cells for acute myeloid leukemia. Cancer Cell, 2022.
Larson et al. CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours. Nature, 2022
Halim et al. Engineering of an avidity-optimized CD19-specific parallel chimeric antigen receptor that delivers dual CD28 and 4-1BB co-stimulation. Front. Immunol., 2022.
Balneger et al. Sialic acid blockade in BDMCs enhances CD8+ T cell responses by facilitating high avidity DC-T cell interactions. Cell. Mol. Life Sci., 2022
Katsarou et al. Dual targeting with a CAR and a chimeric costimulatory receptor (CCR) enhances T cell sensitivity of tumor antigen recognition and persistence. Science Translational Medicine, 2021.
Fernandez de Larrea et al. Defining an Optimal Dual-Targeted CAR T-cell Therapy Approach Simultaneously Targeting BCMA and GPRC5D to Prevent BCMA Escape-Driven Relapse in Multiple Myeloma. Blood Cancer Discovery, 2020.
Kamsma et al. Single-Cell Acoustic Force Spectroscopy: Resolving Kinetics and Strength of T Cell Adhesion to Fibronectin. Cell Reports, 2018.
Our solution
The z-Movi® Cell Avidity Analyzer is a solution for researchers to determine cell avidity, which has been notoriously difficult to measure until now. Through avidity measurements, the z-Movi can help researchers investigate cell interaction properties that correspond to immune cell response in a predictive, reproducible, and fast manner. All this at a high-throughput and single-cell level, without compromising cell viability.
Being able to measure these interactions provides researchers valuable information and enables them to select best candidates at an early stage. This informed selection from the start can improve their success rate dramatically.
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