Pressure‐tuning fourier transform infrared spectroscopic study of carcinogenesis in human endometrium

Fung, Michael Fung Kee; Senterman, Mary K.; Mikhael, Nadia Z.; Lacelle, Suzanne; Wong, P. T. T.

doi:10.1002/(sici)1520-6343(1996)2:3<155::aid-bspy2>3.3.co;2-f

Cited by 43 publications

(34 citation statements)

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“…This decrease in the number of methyl groups in the maUgnant tissues is consistent with the hypomethylation seen during carcinogenesis [10]. In the present investigation, this ratio is decreased in all the cancerous tissues.…”

Section: Resultssupporting

confidence: 91%

Diagnosis of Breast Cancer Based on FT-IR Spectroscopy

Venkatachalam¹,

Rao²,

Kumar³

et al. 2008

AIP Conference Proceedings

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Articles you may be interested inGrazing incidence angle based sensing approach integrated with fiber-optic Fourier transform infrared (FO-FTIR) spectroscopy for remote and label-free detection of medical device contaminations Rev. Sci. Instrum.A matrix isolation FT-IR and quasirelativistic density functional theory investigation of the reaction products of laser-ablated uranium atoms with NO, NO 2 and N 2 O Abstract. Breast cancer is one of the most important malignant forms of cancer and a great threat to life for women. In the present study, the spectral characteristics of human breast tissues in normal and cancerous state have been investigated by Fourier transform infrared (FT-

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Section: Resultssupporting

confidence: 91%

Diagnosis of Breast Cancer Based on FT-IR Spectroscopy

Venkatachalam¹,

Rao²,

Kumar³

et al. 2008

AIP Conference Proceedings

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show abstract

“…In particular, a displacement from 1049 to 1053 cm −1 and from 1014 to 1025 cm −1 of the C O stretching coupled with C O bending of C OH moieties of cellular carbohydrates (see Fig. 5b) [34][35][36]. Moreover, the variation of the spectral shape in the range 1165-1145 cm −1 could be possibly assigned to C O stretching of C OH groups [37] and therefore related to variations in cellular carbohydrates.…”

Section: Effect Of Nocodazolementioning

confidence: 93%

Further insights into the assessment of cell cycle phases by FTIR microspectroscopy

Bedolla

Kenig

Mitri

et al. 2014

Vibrational Spectroscopy

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“…All cell cluster averages showed well-described bands corresponding to collagen, 34 phenylalanine, 35 chondroitin sulfate and proteoglycans (including aggrecan), [36][37][38] lipids/proteins (CH 2 bending mode 39 and amide I 40,41 ), and DNA/RNA 42,43 (Table 1). Comparing the cell cluster averages with the ECM cluster averages, the most notable difference was the Raman peak of the DNA/RNA at 1576 cm −1 , which was clearly visible in all the cell-spectra [ Fig.…”

Section: Confocal Raman Microspectroscopymentioning

confidence: 98%

Recognizing different tissues in human fetal femur cartilage by label-free Raman microspectroscopy

et al. 2012

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Abstract. Traditionally, the composition of bone and cartilage is determined by standard histological methods. We used Raman microscopy, which provides a molecular "fingerprint" of the investigated sample, to detect differences between the zones in human fetal femur cartilage without the need for additional staining or labeling. Raman area scans were made from the (pre)articular cartilage, resting, proliferative, and hypertrophic zones of growth plate and endochondral bone within human fetal femora. Multivariate data analysis was performed on Raman spectral datasets to construct cluster images with corresponding cluster averages. Cluster analysis resulted in detection of individual chondrocyte spectra that could be separated from cartilage extracellular matrix (ECM) spectra and was verified by comparing cluster images with intensity-based Raman images for the deoxyribonucleic acid/ ribonucleic acid (DNA/RNA) band. Specific dendrograms were created using Ward's clustering method, and principal component analysis (PCA) was performed with the separated and averaged Raman spectra of cells and ECM of all measured zones. Overall (dis)similarities between measured zones were effectively visualized on the dendrograms and main spectral differences were revealed by PCA allowing for label-free detection of individual cartilaginous zones and for label-free evaluation of proper cartilaginous matrix formation for future tissue engineering and clinical purposes.

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Pressure‐tuning fourier transform infrared spectroscopic study of carcinogenesis in human endometrium

Cited by 43 publications

References 0 publications

Diagnosis of Breast Cancer Based on FT-IR Spectroscopy

Diagnosis of Breast Cancer Based on FT-IR Spectroscopy

Further insights into the assessment of cell cycle phases by FTIR microspectroscopy

Recognizing different tissues in human fetal femur cartilage by label-free Raman microspectroscopy

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