2019
DOI: 10.3390/s19183971
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Multivariate Analysis of Difference Raman Spectra of the Irradiated Nucleus and Cytoplasm Region of SH-SY5Y Human Neuroblastoma Cells

Abstract: Previous works showed that spatially resolved Raman spectra of cytoplasm and nucleus region of single cells exposed to X-rays evidence different features. The present work aims to introduce a new approach to profit from these differences to deeper investigate X-ray irradiation effects on single SH-SY5Y human neuroblastoma cells. For this aim, Raman micro-spectroscopy was performed in vitro on single cells after irradiation by graded X-ray doses (2, 4, 6, 8 Gy). Spectra from nucleus and cytoplasm regions were s… Show more

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Cited by 14 publications
(2 citation statements)
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“…1. Spectral shifts due to analyte binding are easy to observe, particularly in regions where there is concurrent depletion of some bands and appearance of others Although principal component analysis has been widely used in analysing Raman spectra, it is usually applied to "blindly" categorise samples, [21][22][23] although the importance of separating out technical and sample variability has recently been recognised. 24,25 However, to the best of our knowledge, this work represents the first example of using differential principal component analysis in combination with a "probe recognition" experimental strategy to separate out technical and sample variability by design.…”
Section: Resultsmentioning
confidence: 99%
“…1. Spectral shifts due to analyte binding are easy to observe, particularly in regions where there is concurrent depletion of some bands and appearance of others Although principal component analysis has been widely used in analysing Raman spectra, it is usually applied to "blindly" categorise samples, [21][22][23] although the importance of separating out technical and sample variability has recently been recognised. 24,25 However, to the best of our knowledge, this work represents the first example of using differential principal component analysis in combination with a "probe recognition" experimental strategy to separate out technical and sample variability by design.…”
Section: Resultsmentioning
confidence: 99%
“…Raman spectroscopy is a non-destructive method for metabolite analysis but only few functional groups emit detectable Raman signals reducing the applicability of the method for SCM analyses (Smith et al, 2016). Recently, Raman micro-spectroscopy using graded X-ray doses has successfully uncovered several nucleus and cytoplasmic specific metabolic features from single SH-SY5Y human cancer cells (Delfino et al, 2019).…”
Section: Non-mass Spectrometric Methodsmentioning
confidence: 99%