Infrared spectroscopy of human tissue. V. Infrared spectroscopic studies of myeloid leukemia (ML‐1) cells at different phases of the cell cycle

Boydston‐White, Susie; Gopen, Tamara; Houser, Sandra; Bargonetti, Jill; Diem, Max

doi:10.1002/(sici)1520-6343(1999)5:4<219::aid-bspy2>3.3.co;2-f

Cited by 60 publications

(101 citation statements)

References 14 publications

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“…However, individual cell spectra show large spectral variations, both for cultured cells and cells exfoliated from human donors. Spectral variations observed for cultured cells have been the subject of studies in the authors' laboratory for about 7 years, and have been attributed to different stages in the cell division cycle [1][2][3][4]. However, we also observe large spectral heterogeneity in exfoliated epithelial cells, which should be divisionally inactive, and relatively homogeneous.…”

Section: Introductionmentioning

confidence: 55%

Infrared micro-spectroscopy of human cells: Causes for the spectral variance of oral mucosa (buccal) cells

Romeo

Mohlenhoff

Diem

2006

Vibrational Spectroscopy

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We discuss the causes contributing to the variance of the spectra of individual human epithelial cells. This aspect has largely been ignored in previous studies, but needs to be understood for diagnostic applications of infrared micro-spectroscopy. We attribute the spectral variance to Mie scattering, and to variations of nuclear contributions to the overall spectra caused by different nuclear size.

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Section: Introductionmentioning

confidence: 55%

Infrared micro-spectroscopy of human cells: Causes for the spectral variance of oral mucosa (buccal) cells

Romeo

Mohlenhoff

Diem

2006

Vibrational Spectroscopy

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“…As the results show, a good differentiation of the two cell types can be achieved with both techniques, indicating the feasibility of cell typing by both vibrational spectroscopy methods with particular emphasis on the Raman results. As it has been mentioned earlier, several FTIR studies [16][17][18][19][20][21][22][23] have been reported in cell type discrimination but there have been only few studies on the Raman spectroscopic approach. 24 When the loadings plots were inspected (data not shown here), the first component could be assigned to a mean spectrum.…”

Section: Resultsmentioning

confidence: 99%

“…Several successful Fourier transform infrared (FTIR) studies for discrimination of Pap smear and other exfoliated cells have been reported. [16][17][18][19][20] Studies on apoptosis and identification of MDR and sensitive phenotypes in a cell line have also been described, [21][22][23][24] showing the potentials and applications of this approach.…”

Section: Introductionmentioning

confidence: 99%

Combined Fourier transform infrared and Raman spectroscopic approach for identification of multidrug resistance phenotype in cancer cell lines

et al. 2006

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Cancer cells escape cytotoxic effects of anticancer drugs by a process known as multidrug resistance (MDR). Identification of cell status by less time-consuming methods can be extremely useful in patient management and treatment. This study aims at evaluating the potentials of vibrational spectroscopic methods to perform cell typing and to differentiate between sensitive and resistant human cancer cell lines, in particular those that exhibit the MDR phenotype. Micro-Raman and Fourier transform infrared (FTIR) spectra have been acquired from the sensitive promyelocytic HL60 leukemia cell line and two of its subclones resistant to doxorubicin (HL60/DOX) and daunorubicin (HL60/ DNR), and from the sensitive MCF7 breast cancer cell line and its MDR counterpart resistant to verapamil (MCF7/VP). Principal components analysis (PCA) was employed for spectral comparison and classification. Our data show that cell typing was feasible with both methods, giving two distinct clusters for HL60-and MCF7-sensitive cells. In addition, phenotyping of HL60 cells, i.e., discriminating between the sensitive and MDR phenotypes, was attempted by both methods. FTIR could not only delineate between the sensitive and resistant HL60 cells, but also gave two distinct clusters for the resistant cells, which required a two-step procedure with Raman spectra. In the case of MCF7 cell lines, both the sensitive and resistant phenotypes could be differentiated very efficiently by PCA analysis of their FTIR and Raman point spectra. These results indicate the prospective applicability of FTIR and micro-Raman approaches in the differentiation of cell types as well as characterization of the cell status, such as the MDR phenotype exhibited in resistant leukemia cell lines like HL60 and MCF7.

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“…Hitherto, studies to methodically assess this variability have been limited to investigating cultured cell lines [49] or cells that can be isolated from peripheral blood [36]. The combination of FTIR microscopy with multivariate image processing provides a direct method to assess biological variability and thereby add to the discriminating power of any diagnostic algorithm.…”

Section: Discussionmentioning

confidence: 99%

Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium

Wood

Chiriboga

Yee

et al. 2004

Gynecologic Oncology

209

164

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Objective-This paper is aimed at establishing infrared spectral patterns for the different tissue types found in, and for different stages of disease of squamous cervical epithelium. Methods for the unsupervised distinction of these tissue types are discussed.Methods-Fourier transform infrared (FTIR) maps of the squamous and glandular cervical epithelium, and of the cervical transformation zone, were obtained and analyzed by multivariate unsupervised hierarchical cluster methods. The resulting clusters are correlated to the corresponding stained histopathological features in the tissue sections.Results-Multivariate statistical analysis of FTIR spectra collected for tissue sections permit an unsupervised method of distinguishing tissue types, and of differentiating between normal and diseased tissue. By analyzing different spectral windows and comparing the results with histology, we found the amide I and II region (1740-1470 cm −1 ) to be very important in correlating anatomical and histopathological features in tissue to spectral clusters. Since an unsupervised, rather than a diagnostic, algorithm was used in these efforts, no statistical analysis of false-positive/false-negative results is reported at this time.Conclusions-The combination of FTIR micro-spectroscopy and multivariate spectral processing provides important insights into the fundamental spectral signatures of individual cells and consequently shows potential as a diagnostic tool for cervical cancer.

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Infrared spectroscopy of human tissue. V. Infrared spectroscopic studies of myeloid leukemia (ML‐1) cells at different phases of the cell cycle

Cited by 60 publications

References 14 publications

Infrared micro-spectroscopy of human cells: Causes for the spectral variance of oral mucosa (buccal) cells

Infrared micro-spectroscopy of human cells: Causes for the spectral variance of oral mucosa (buccal) cells

Combined Fourier transform infrared and Raman spectroscopic approach for identification of multidrug resistance phenotype in cancer cell lines

Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium

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