Your browser doesn't support javascript.
loading
Physical Biomarkers of Disease Progression: On-Chip Monitoring of Changes in Mechanobiology of Colorectal Cancer Cells.
Armistead, Fern J; Gala De Pablo, Julia; Gadêlha, Hermes; Peyman, Sally A; Evans, Stephen D.
Afiliación
  • Armistead FJ; Molecular and Nanoscale Physics group, Department of Physics and Astronomy, University of Leeds, Leeds, UK.
  • Gala De Pablo J; Molecular and Nanoscale Physics group, Department of Physics and Astronomy, University of Leeds, Leeds, UK.
  • Gadêlha H; Department of Engineering Mathematics, University of Bristol, Bristol, UK.
  • Peyman SA; Molecular and Nanoscale Physics group, Department of Physics and Astronomy, University of Leeds, Leeds, UK.
  • Evans SD; Molecular and Nanoscale Physics group, Department of Physics and Astronomy, University of Leeds, Leeds, UK. s.d.evans@leeds.ac.uk.
Sci Rep ; 10(1): 3254, 2020 02 24.
Article en En | MEDLINE | ID: mdl-32094413
Disease can induce changes to subcellular components, altering cell phenotype and leading to measurable bulk-material mechanical properties. The mechanical phenotyping of single cells therefore offers many potential diagnostic applications. Cells are viscoelastic and their response to an applied stress is highly dependent on the magnitude and timescale of the actuation. Microfluidics can be used to measure cell deformability over a wide range of flow conditions, operating two distinct flow regimes (shear and inertial) which can expose subtle mechanical properties arising from subcellular components. Here, we investigate the deformability of three colorectal cancer (CRC) cell lines using a range of flow conditions. These cell lines offer a model for CRC metastatic progression; SW480 derived from primary adenocarcinoma, HT29 from a more advanced primary tumor and SW620 from lymph-node metastasis. HL60 (leukemia cells) were also studied as a model circulatory cell, offering a non-epithelial comparison. We demonstrate that microfluidic induced flow deformation can be used to robustly detect mechanical changes associated with CRC progression. We also show that single-cell multivariate analysis, utilising deformation and relaxation dynamics, offers potential to distinguish these different cell types. These results point to the benefit of multiparameter determination for improving detection and accuracy of disease stage diagnosis.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Dispositivos Laboratorio en un Chip Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Dispositivos Laboratorio en un Chip Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido