CATALOGO DEI PRODOTTI DELLA RICERCA
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishWe aimed at demonstrating that non-cystic fibrosis (CF) cells and isogenic, CF bronchial epithelial cell lines can be correctly classified by Fourier transform (FT) mid-infrared (IR) absorbance spectra and unsupervised methods for multivariate data analysis such as principal component analysis (PCA) and hierarchical cluster analysis (HCA). CF cells were exposed “ex vivo” to VRT-325, a chemical corrector of defective anion transporter Cystic Fibrosis Transmembrane conductance Regulator (CFTR) caused by the F508del mutation. Unstained epithelial cells from CF patients and a healthy control were deposited on ZnSe window and analyzed with an IR interferometer connected to a FTIR microscope (microFTIR). In order to explain spectral variability reflecting biochemical differences between CF and non-CF cells, we applied PCA to dataset of untreated cells and cells treated for 24 hours with 1x10-5 M VRT-325. The information achieved with IR analysis was cross validated by the findings on CFTR expression and by the results of functional CFTR bioassays carried out in replicate samples. We conclude suggesting the possibility to utilize IR spectra analysis to recognize CF cells and the effect of pharmacological treatment aimed to correct the basic defect of CF
| Titolo: | The identification of cystic fibrosis (CF) cells and their pharmacological correction by mid-infrared microspectroscopy and unsupervised data analysis methods |
| Autori: | |
| Data di pubblicazione: | 2014 |
| Rivista: | |
| Abstract: | We aimed at demonstrating that non-cystic fibrosis (CF) cells and isogenic, CF bronchial epithelial cell lines can be correctly classified by Fourier transform (FT) mid-infrared (IR) absorbance spectra and unsupervised methods for multivariate data analysis such as principal component analysis (PCA) and hierarchical cluster analysis (HCA). CF cells were exposed “ex vivo” to VRT-325, a chemical corrector of defective anion transporter Cystic Fibrosis Transmembrane conductance Regulator (CFTR) caused by the F508del mutation. Unstained epithelial cells from CF patients and a healthy control were deposited on ZnSe window and analyzed with an IR interferometer connected to a FTIR microscope (microFTIR). In order to explain spectral variability reflecting biochemical differences between CF and non-CF cells, we applied PCA to dataset of untreated cells and cells treated for 24 hours with 1x10-5 M VRT-325. The information achieved with IR analysis was cross validated by the findings on CFTR expression and by the results of functional CFTR bioassays carried out in replicate samples. We conclude suggesting the possibility to utilize IR spectra analysis to recognize CF cells and the effect of pharmacological treatment aimed to correct the basic defect of CF |
| Handle: | http://hdl.handle.net/11562/689159 |
| Appare nelle tipologie: | 01.01 Articolo in Rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Bellisola et al Sci Lett.pdf | articolo principale | Versione dell'editore | Accesso ristretto | Utenti riconosciuti Richiedi una copia |
Copyright © 2021