Literature DB >> 23671933

Detection and identification of cancerous murine fibroblasts, transformed by murine sarcoma virus in culture, using Raman spectroscopy and advanced statistical methods.

A Salman1, E Shufan, L Zeiri, M Huleihel.   

Abstract

BACKGROUND: Cancer is one of the leading worldwide causes of death. It may be induced by a variety of factors, including carcinogens, radiation, genetic factors, or DNA and RNA viruses. The early detection of cancer is critical for its successful therapy, which can result in complete recovery from some types of cancer.
METHODS: Raman spectroscopy has been widely used in medicine and biology. It is a noninvasive, nondestructive, and water-insensitive technique that can detect changes in cells and tissues that are caused by different disorders, such as cancer. In this study, Raman spectroscopy was used for the identification and characterization of murine fibroblast cell lines (NIH/3T3) and malignant fibroblast cells transformed by murine sarcoma virus (NIH-MuSV) cells.
RESULTS: Using principal component analysis and LDA it was possible to differentiate between the NIH/3T3 and NIH-MuSV cells with an 80-85% success rate based on their Raman shift spectra.
CONCLUSIONS: The best results for differentiation were achieved from spectra that were obtained from the rich membrane sites. GENERAL SIGNIFICANCE: Because of its homogeneity and complete control of most factors affecting its growth, cell culture is a preferred model for the detection and identification of specific biomarkers related to cancer transformation or other cellular modifications.

Entities:  

Mesh:

Year:  2013        PMID: 23671933     DOI: 10.1016/j.bbagen.2012.11.023

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  4 in total

1.  Tracing overlapping biological signals in mid-infrared using colonic tissues as a model system.

Authors:  Ranjit Kumar Sahu; Ahmad Salman; Shaul Mordechai
Journal:  World J Gastroenterol       Date:  2017-01-14       Impact factor: 5.742

2.  Potential of infrared microscopy to differentiate between dementia with Lewy bodies and Alzheimer's diseases using peripheral blood samples and machine learning algorithms.

Authors:  Ahmad Salman; Itshak Lapidot; Elad Shufan; Adam H Agbaria; Bat-Sheva Porat Katz; Shaul Mordechai
Journal:  J Biomed Opt       Date:  2020-04       Impact factor: 3.170

3.  Living matter observations with a novel hyperspectral supercontinuum confocal microscope for VIS to near-IR reflectance spectroscopy.

Authors:  Francesca R Bertani; Luisa Ferrari; Valentina Mussi; Elisabetta Botti; Antonio Costanzo; Stefano Selci
Journal:  Sensors (Basel)       Date:  2013-10-25       Impact factor: 3.576

4.  Detection of Vero Cells Infected with Herpes Simplex Types 1 and 2 and Varicella Zoster Viruses Using Raman Spectroscopy and Advanced Statistical Methods.

Authors:  Mahmoud Huleihel; Elad Shufan; Leila Zeiri; Ahmad Salman
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

  4 in total

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