Vibrational Analysis of Lung Tumor Cell Lines: Implementation of an Invasiveness Scale Based on the Cell Infrared Signatures
| Autor: | Myriam Polette, Cyril Gobinet, Philippe Birembaut, Olivier Piot, Vincent Gaydou, Claire Kileztky, Jean-François Angiboust, Michel Manfait |
|---|---|
| Přispěvatelé: | Matrice extracellulaire et dynamique cellulaire - UMR 7369 (MEDyC), SFR CAP Santé (Champagne-Ardenne Picardie Santé), Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA)-Centre National de la Recherche Scientifique (CNRS), Plasticité de l'épithélium respiratoire dans les conditions normales et pathologiques - UMR-S 903 (PERPMP), Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Centre Hospitalier Universitaire de Reims (CHU Reims)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Reims Champagne-Ardenne (URCA) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Lung Neoplasms
Spectrophotometry Infrared [SDV]Life Sciences [q-bio] Cell Analytical chemistry 02 engineering and technology Computational biology Malignancy 01 natural sciences Vibration Analytical Chemistry medicine Tumor Cells Cultured Humans Neoplasm Invasiveness ComputingMilieux_MISCELLANEOUS Cancer Science Chemistry 010401 analytical chemistry 021001 nanoscience & nanotechnology medicine.disease 0104 chemical sciences 3. Good health medicine.anatomical_structure Cancer cell Lung tumor 0210 nano-technology Algorithms |
| Zdroj: | Analytical Chemistry Analytical Chemistry, American Chemical Society, 2016, 88 (17), pp.8459-8467. ⟨10.1021/acs.analchem.6b00590⟩ |
| ISSN: | 0003-2700 1520-6882 |
| DOI: | 10.1021/acs.analchem.6b00590⟩ |
| Popis: | Assessing the tumor invasiveness is a paramount diagnostic step to improve the patients care. Infrared spectroscopy access the chemical composition of samples; and in combination with statistical multivariate processing, presents the capacity to highlight subtle molecular alterations associated with malignancy development. Our investigation demonstrated that infrared signatures of cell lines presenting various invasiveness phenotypes contain discriminant spectral features, which are useful informative signals to implement an objective invasiveness scale. This last development reflects the interest of vibrational approach as a candidate biophotonic label-free technique, usable in routine clinics, to characterize quantitatively tumor aggressiveness. In addition, the methodology can reveal the heterogeneity of cancer cells, opening the way to further researches in cancer science. |
| Databáze: | OpenAIRE |
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