Literature DB >> 17477718

Early spectral changes of cellular malignant transformation using Fourier transform infrared microspectroscopy.

Evgeny Bogomolny1, Mahmoud Huleihel, Yelena Suproun, Ranjit K Sahu, Shaul Mordechai.   

Abstract

Fourier transform infrared microspectroscopy (FTIR-MSP) is potentially a powerful analytical method for identifying the spectral properties of biological activity in cells. The goal of the present research is the implementation of FTIR-MSP to study early spectral changes accompanying malignant transformation of cells. As a model system, cells in culture are infected by the murine sarcoma virus (MuSV), which induces malignant transformation. The spectral measurements are taken at various postinfection time intervals. To follow up systematically the progress of the spectral changes at early stages of cell transformation, it is essential first to determine and validate consistent and significant spectral parameters (biomarkers), which can evidently discriminate between normal and cancerous cells. Early stages of cell transformation are classified by an array of spectral biomarkers utilizing cluster analysis and discriminant classification function techniques. The classifications indicate that the first spectral changes are detectable much earlier than the first morphological signs of cell transformation. Our results point out that the first spectral signs of malignant transformation are observed on the first and third day of postinfection (PI) (for NIH/3T3 and MEF cell cultures, respectively), while the first visible morphological alterations are observed only on the third and seventh day, respectively. These results strongly support the potential of developing FTIR microspectroscopy as a simple, reagent-free method for early detection of malignancy.

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Year:  2007        PMID: 17477718     DOI: 10.1117/1.2717186

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  9 in total

1.  Label-free characterization of cancer-activated fibroblasts using infrared spectroscopic imaging.

Authors:  S E Holton; M J Walsh; A Kajdacsy-Balla; R Bhargava
Journal:  Biophys J       Date:  2011-09-20       Impact factor: 4.033

2.  Subcellular localization of early biochemical transformations in cancer-activated fibroblasts using infrared spectroscopic imaging.

Authors:  Sarah E Holton; Michael J Walsh; Rohit Bhargava
Journal:  Analyst       Date:  2011-06-07       Impact factor: 4.616

3.  Early detection of premalignant changes in cell cultures using light-induced fluorescence spectroscopy.

Authors:  E Bogomolny; Shaul Mordechai; A Zwielly; M Huleihel
Journal:  Eur Biophys J       Date:  2009-06-05       Impact factor: 1.733

4.  Diagnosis of cell death by means of infrared spectroscopy.

Authors:  Udi Zelig; Joseph Kapelushnik; Raymond Moreh; Shaul Mordechai; Ilana Nathan
Journal:  Biophys J       Date:  2009-10-07       Impact factor: 4.033

5.  Use of an endoscope-compatible probe to detect colonic dysplasia with Fourier transform infrared spectroscopy.

Authors:  Mark A Mackanos; John Hargrove; Rolf Wolters; Christine B Du; Shai Friedland; Roy M Soetikno; Christopher H Contag; May R Arroyo; James M Crawford; Thomas D Wang
Journal:  J Biomed Opt       Date:  2009 Jul-Aug       Impact factor: 3.170

6.  Detection of colonic inflammation with Fourier transform infrared spectroscopy using a flexible silver halide fiber.

Authors:  Vinay K Katukuri; John Hargrove; Sharon J Miller; Kinan Rahal; John Y Kao; Rolf Wolters; Ellen M Zimmermann; Thomas D Wang
Journal:  Biomed Opt Express       Date:  2010-09-21       Impact factor: 3.732

7.  A FTIR imaging characterization of fibroblasts stimulated by various breast cancer cell lines.

Authors:  Saroj Kumar; Thankaraj Salammal Shabi; Erik Goormaghtigh
Journal:  PLoS One       Date:  2014-11-12       Impact factor: 3.240

8.  ATR-FTIR spectral discrimination between normal and tumorous mouse models of lymphoma and melanoma from serum samples.

Authors:  Hemendra Ghimire; Mahathi Venkataramani; Zhen Bian; Yuan Liu; A G Unil Perera
Journal:  Sci Rep       Date:  2017-12-05       Impact factor: 4.379

Review 9.  Fourier Transform Infrared Spectroscopy in Oral Cancer Diagnosis.

Authors:  Rong Wang; Yong Wang
Journal:  Int J Mol Sci       Date:  2021-01-26       Impact factor: 5.923

  9 in total

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