Fourier transform infrared (FTIR) spectromicroscopic characterization of stem-like cell populations in human esophageal normal and adenocarcinoma cell lines

The Analyst ◽  
2010 ◽  
Vol 135 (1) ◽  
pp. 53-61 ◽  
Author(s):  
R. Zhao ◽  
L. Quaroni ◽  
A. G. Casson
Keyword(s):  
Fourier Transform ◽  
Cell Lines ◽  
Fourier Transform Infrared ◽  
Cell Populations ◽  
Adenocarcinoma Cell

scholarly journals Discrimination of Different Breast Cell Lines on Glass Substrate by Means of Fourier Transform Infrared Spectroscopy

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 6992
Author(s):  
Maria Lasalvia ◽  
Vito Capozzi ◽  
Giuseppe Perna
Keyword(s):  
Fourier Transform ◽  
Cell Line ◽  
Cell Lines ◽  
Spectral Range ◽  
Fourier Transform Infrared ◽  
Ftir Spectra ◽  
Metastatic Adenocarcinoma ◽  
Adenocarcinoma Cell Line ◽  
Adenocarcinoma Cell ◽  
Glass Slides

Fourier transform infrared (FTIR) micro-spectroscopy has been attracting the interest of many cytologists and histopathologists for several years. This is related to the possibility of FTIR translation in the clinical diagnostic field. In fact, FTIR spectra are able to detect changes in biochemical cellular components occurring when the cells pass to a pathological state. Recently, this interest has increased because it has been shown that FTIR spectra carried out just in the high wavenumber spectral range (2500–4000 cm−1), where information mainly relating to lipids and proteins can be obtained, are able to discriminate cell lines related to different tissues. This possibility allows to perform IR absorption measurements of cellular samples deposited onto microscopy glass slides (widely used in the medical environment) which are transparent to IR radiation only for wavenumber values larger than 2000 cm−1. For these reasons, we show that FTIR spectra in the 2800–3000 cm−1 spectral range can discriminate three different cell lines from breast tissue: a non-malignant cell line (MCF10A), a non-metastatic adenocarcinoma cell line (MCF7) and a metastatic adenocarcinoma cell line (MDA). All the cells were grown onto glass slides. The spectra were discriminated by means of a principal component analysis, according to the PC1 component, whose values have the opposite sign in the pairwise score plots. This result supports the wide studies that are being carried out to promote the translation of the FTIR technique in medical practice, as a complementary diagnostic tool.

Diversity among endothelial cell lines revealed by Raman and Fourier-transform infrared spectroscopic imaging

The Analyst ◽  
2018 ◽  
Vol 143 (18) ◽  
pp. 4323-4334 ◽  
Author(s):  
Ewelina Szafraniec ◽  
Ewelina Wiercigroch ◽  
Krzysztof Czamara ◽  
Katarzyna Majzner ◽  
Emilia Staniszewska-Slezak ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Fourier Transform ◽  
Endothelial Cell ◽  
Cell Lines ◽  
Spectroscopic Imaging ◽  
Fourier Transform Infrared ◽  
Human Endothelial Cells ◽  
Infrared Spectroscopic ◽  
Infrared Spectroscopic Imaging

A methodology of examination and characterization of popular human endothelial cells lines.

scholarly journals In Vitro Spectroscopy-Based Profiling of Urothelial Carcinoma: A Fourier Transform Infrared and Raman Imaging Study

Cancers ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 123
Author(s):  
Monika Kujdowicz ◽  
Wojciech Placha ◽  
Brygida Mech ◽  
Karolina Chrabaszcz ◽  
Krzysztof Okoń ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Fourier Transform ◽  
Cancer Cells ◽  
Cell Line ◽  
Cell Lines ◽  
Malignant Neoplasm ◽  
Fourier Transform Infrared ◽  
Diagnostic Tools ◽  
Label Free ◽  
Bladder Cancer Cells

Markers of bladder cancer cells remain elusive, which is a major cause of the low recognition of this malignant neoplasm and its recurrence. This implies an urgent need for additional diagnostic tools which are based on the identification of the chemism of bladder cancer. In this study, we employed label-free techniques of molecular imaging—Fourier Transform Infrared and Raman spectroscopic imaging—to investigate bladder cancer cell lines of various invasiveness (T24a, T24p, HT-1376, and J82). The urothelial HCV-29 cell line was the healthy control. Specific biomolecules discriminated spatial distribution of the nucleus and cytoplasm and indicated the presence of lipid bodies and graininess in some cell lines. The most prominent discriminators are the total content of lipids and sugar moieties as well as the presence of glycogen and other carbohydrates, un/saturated lipids, cytochromes, and a level of S-S bridges in proteins. The combination of the obtained hyperspectral database and chemometric methods showed a clear differentiation of each cell line at the level of the nuclei and cytoplasm and pointed out spectral signals which differentiated bladder cancer cells. Registered spectral markers correlated with biochemical composition changes can be associated with pathogenesis and potentially used for the diagnosis of bladder cancer and response to experimental therapies.

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