Discrimination of radiosensitive and radioresistant murine lymphoma cells by Raman spectroscopy and SERS

Aguilar-Hernández, Iris; Cárdenas‐Chávez, Diana L.; López–Luke, Tzarara; García‐García, Alejandra; Herrera-Domínguez, Marcela; Pisano, Eduardo; Ornelas‐Soto, Nancy

doi:10.1364/boe.11.000388

Cited by 5 publications

(2 citation statements)

References 76 publications

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“…Principal components analysis (PCA) combined with linear discriminant analysis (LDA) and decision tree (DT) were used for analyzing the spectral data by the SPSS software package (SPSS Inc., Chicago, IL, USA). Firstly, we used PCA-LDA [40][41][42] to investigate whether there were significant statistical differences between the control and experimental groups. The standardized data set of the Raman spectrum was input into SPSS for analysis.…”

Section: Data Processing and Multivariate Statistical Analysismentioning

confidence: 99%

Study on the chemodrug-induced effect in nasopharyngeal carcinoma cells using laser tweezer Raman spectroscopy

Qiu¹,

Li²,

Li³

et al. 2020

Biomed. Opt. Express

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To explore the effect in nasopharyngeal carcinoma (NPC) cells after treatment with chemodrugs, Raman profiles were characterized by laser tweezer Raman spectroscopy. Two NPC cell lines (CNE2 and C666-1) were treated with gemcitabine, cisplatin, and paclitaxel, respectively. The high-quality Raman spectra of cells without or with treatments were recorded at the single-cell level with label-free laser tweezers Raman spectroscopy (LTRS) and analyzed for the differences of alterations of Raman profiles. Tentative assignments of Raman peaks indicated that the cellular specific biomolecular changes associated with drug treatment include changes in protein structure (e.g. 1655 cm −1), changes in DNA/RNA content and structure (e.g. 830 cm −1), destruction of DNA/RNA base pairs (e.g. 785 cm −1), and reduction in lipids (e.g. 970 cm −1). Besides, both principal components analysis (PCA) combined with linear discriminant analysis (LDA) and the classification and regression trees (CRT) algorithms were employed to further analyze and classify the spectral data between control group and treated group, with the best discriminant accuracy of 96.7% and 90.0% for CNE2 and C666-1 group treated with paclitaxel, respectively. This exploratory work demonstrated that LTRS technology combined with multivariate statistical analysis has promising potential to be a novel analytical strategy at the single-cell level for the evaluation of NPC-related chemotherapeutic drugs.

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Section: Data Processing and Multivariate Statistical Analysismentioning

confidence: 99%

Study on the chemodrug-induced effect in nasopharyngeal carcinoma cells using laser tweezer Raman spectroscopy

Qiu¹,

Li²,

Li³

et al. 2020

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

“…43 A recent study utilised surface enhanced Raman spectroscopy (SERS) using gold nanoparticles to improve Raman signals and was able to clearly discriminate between radiosensitive and radioresistant murine lymphoma cells by significantly enhancing subtle chemical differences between the two sublines. 44 Fewer studies have applied RS to examine long-term radiationinduced biochemical changes in cells or tissue. One study that utilised RS in acquired radioresistant oral cancer phenotypes, described changes in proteins and nucleic acids, possibly due to alterations of the cell signalling cascades induced by radiation.…”

Section: Introductionmentioning

confidence: 99%