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Acoustic Force-Based Cell-Matrix Avidity Measurement in High Throughput.
Wang, Yao; Jin, Jasmine; Wang, Haoqing Jerry; Ju, Lining Arnold.
Afiliação
  • Wang Y; School of Biomedical Engineering, The University of Sydney, Darlington, NSW 2008, Australia.
  • Jin J; School of Biomedical Engineering, The University of Sydney, Darlington, NSW 2008, Australia.
  • Wang HJ; School of Biomedical Engineering, The University of Sydney, Darlington, NSW 2008, Australia.
  • Ju LA; Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia.
Biosensors (Basel) ; 13(1)2023 Jan 06.
Article em En | MEDLINE | ID: mdl-36671930
Cancer cells interacting with the extracellular matrix (ECM) in the tumor microenvironment is pivotal for tumorigenesis, invasion, and metastasis. Cell-ECM adhesion has been intensively studied in cancer biology in the past decades to understand the molecular mechanisms underlying the adhesion events and extracellular mechanosensing, as well as develop therapeutic strategies targeting the cell adhesion molecules. Many methods have been established to measure the cell-ECM adhesion strength and correlate it with the metastatic potential of certain cancer types. However, those approaches are either low throughput, not quantitative, or with poor sensitivity and reproducibility. Herein, we developed a novel acoustic force spectroscopy based method to quantify the cell-ECM adhesion strength during adhesion maturation process using the emerging z-Movi® technology. This can be served as a fast, simple, and high-throughput platform for functional assessment of cell adhesion molecules in a highly predictive and reproducible manner.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Biosensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Biosensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália País de publicação: Suíça