Molecular and chemical characterization by Fourier transform infrared spectroscopy of human breast cancer cells with estrogen receptor expressed and not expressed

Mostaço-Guidolin, Leila B.; Murakami, Luciana Sayuri; Batistuti, Marina R.; Nomizo, Auro; Bachmann, Luciano

doi:10.1155/2010/498719

Cited by 16 publications

(7 citation statements)

References 21 publications

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“…To further analyze how protein conformation, rather than protein aggregation level, changes with aging, another independent and randomly chosen set of 127 samples from the pcb-Cohort was subjected to FTIR spectroscopy (TG2). Normalization of the FTIR spectra (Figure 3A) was carried out to ensure that differences in protein concentration between different samples would not affect spectral variance [37,38]. Amplification of the spectral region of amide I (1700-1600cm -1 ) (top) and corresponding 2 nd derivative spectra using the Savitzky-Golay algorithm with 3 smoothing points (bottom) is illustrated in Figure 3B.…”

Section: Ftir Spectra Overviewmentioning

confidence: 99%

Monitoring plasma protein aggregation during aging using conformation-specific antibodies and FTIR spectroscopy

Magalhães

Trindade

Martins

et al. 2020

Clinica Chimica Acta

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Section: Ftir Spectra Overviewmentioning

confidence: 99%

Monitoring plasma protein aggregation during aging using conformation-specific antibodies and FTIR spectroscopy

Magalhães

Trindade

Martins

et al. 2020

Clinica Chimica Acta

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“…In FTIR comparison with conditioned media of adipocytes (Figure 2A,B and Supplementary Figure S1A,B), amide I/amide II ratios were different between MBCM (2.42) and BPCM (3.96) (Figure 3A) [20,21]. It is believed that high amide I/amide II ratios affect protein pattern composition [22]. BPCM had the highest protein content (0.79) (Figure 3B) [20,21].…”

Section: Discussionmentioning

confidence: 97%

Identification of Biochemical Differences in White and Brown Adipocytes Using FTIR Spectroscopy

Shon

Park

Yoon³

et al. 2022

Applied Sciences

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This study was conducted to investigate the developmental characteristics of adipocytes and to identify selectively white and brown adipocytes through Fourier transform infrared (FTIR) spectroscopy. For the developmental characterization of adipocytes, cells and conditioned media of white and brown adipocytes were respectively collected and analyzed. A higher amide I/amide II ratio was observed in the conditioned medium of brown adipocyte than in that of white adipocyte, indicating differences in secretory protein profiles. In contrast, an amide I/amide II ratio was higher in white adipocytes than in brown adipocytes, and mature adipocytes have higher lipid amounts than pre-adipocytes. Lipid acyl chain length was the longest in white adipocytes. These differences suggested that FTIR spectroscopy can be used to characterize developmental stages and/or types of adipocytes. To identify the possibility of selectively classifying adipose-derived stem cells, FTIR spectroscopy spectra were obtained in cells before/after white/brown adipocyte differentiation using FTIR spectroscopy and then analyzed by the principal component analysis method. All data indicated that the discrimination between adipocytes was possible in the analysis of the infrared spectroscopy spectrum by the principal component analysis technique. This study suggested the possibility of FTIR spectroscopy as a new type of cell sorting system without tagging.

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“…Their results suggest that cancer cells exhibit a stronger bonding structure in the membrane lipids compared to normal cells (70). In 2010, Mostaço-Guidolin and colleagues focused on the study of the MCF7 and SKBr3 cells, which are estrogen receptor positive and negative, respectively (71). Their results indicate that the MCF7 cell line shows increased absorbance intensity in the bands at 1085 (DNA), 1542 (amide II) and 1650 cm -1 (amide I), compared to the SKBr3 cell line.…”

Section: A Spectral Characteristics Of Cancer Cell Linesmentioning

confidence: 99%

Spectroscopic Features of Cancer Cells: FTIR Spectroscopy as a Tool for Early Diagnosis

Santos

Magalhães

Henriques

et al. 2018

CMB

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Globally, cancer is one of the leading causes of death, is one of the leading causes of death worldwide and so the development of strategies for an early diagnosis of cancer is of great importance. Since Biochemical alterations precede morphological changes in cells and tissues, so studying cancer metabolome seems like a reasonable approach for early diagnosis, prognosis and to follow treatment progression. Fourier-transform infrared (FTIR) spectroscopy is a valuable tool for studying the metabolome of biological samples, such as cancer cell lines. Unlike staining procedures and other histopathologic approaches, this technique is rapid, non-destructive and does not require reagents. The spectral differences that result from probing the biochemical composition of cancer and normal cells are indicative of distinct metabolic profiles, which allows for allow the discrimination of different cells. Using FTIR spectroscopy and multivariate statistical analysis, several alterations concerning the content of lipids, proteins, nucleic acids and carbohydrates have been identified in cancer cells, some of which can be regarded as potential biomarkers. This review focuses on FTIR spectroscopy as a metabolomics tool to study and characterize cancer cell lines.

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Molecular and chemical characterization by Fourier transform infrared spectroscopy of human breast cancer cells with estrogen receptor expressed and not expressed

Cited by 16 publications

References 21 publications

Monitoring plasma protein aggregation during aging using conformation-specific antibodies and FTIR spectroscopy

Monitoring plasma protein aggregation during aging using conformation-specific antibodies and FTIR spectroscopy

Identification of Biochemical Differences in White and Brown Adipocytes Using FTIR Spectroscopy

Spectroscopic Features of Cancer Cells: FTIR Spectroscopy as a Tool for Early Diagnosis

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