Literature DB >> 25043757

Using Novel Method to Detect Different Cancer-Cell Stages of Model Human Lung Carcinoma.

Hao-Yuan Cheng1, Fu-Hsiang Ko1, Lee-Jene Lai2.   

Abstract

BACKGROUND: Synchrotron radiation infrared (SR-IR) microspectroscopy and SR-IR spectroscopic imaging are extremely valuable techniques for determining the molecular composition of biological and biomedical samples. In this work, SR-IR is applied in the study of the lung cancer cells in different cell cycles.
METHODS: We use a novel synchrotron based radiation infrared system combined synchronized model human lung carcinoma to reveal its unique character pattern.
RESULTS: After using SR-IR microspectroscopy, we discovered that the ratio of protein to lipid in G1 and G2 states is around 4.0 and 6.1, respectively. Moreover, for the DNA at the wavenumber position of 1225 cm(-1) , the intensity ratio of G2 state to G1 state is approximately 1.6. These data indicate that the cell in G1 state has more lipid composition to prepare for the DNA synthesis, but the cell in G2 state has more protein composition to prepare for the mitosis. The cell has larger DNA concentration in G2 state, which can be explained for the DNA synthesis.
CONCLUSION: Through our research, we demonstrate that different growth state of cancer cell presenting unique functional groups concentration profiles and distribution via using SR-IR microspectrometry. These applications will provide another ways to improve modern cancer screening in the future.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  cell cycle; lung carcinoma; microspectrometry; synchrotron; synchrotron radiation infrared

Mesh:

Substances:

Year:  2014        PMID: 25043757      PMCID: PMC6807252          DOI: 10.1002/jcla.21766

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


  12 in total

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Authors:  M Jackson; B Ramjiawan; M Hewko; H H Mantsch
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6.  A method for examining the chemical basis for bone disease: synchrotron infrared microspectroscopy.

Authors:  L M Miller; C S Carlson; G L Carr; M R Chance
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7.  A new, non-destructive method for analysis of clinical samples with FT-IR microspectroscopy. Breast cancer tissue as an example.

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8.  Classification of breast tumors by grade and steroid receptor status using pattern recognition analysis of infrared spectra.

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9.  Cancer-related changes in prostate DNA as men age and early identification of metastasis in primary prostate tumors.

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10.  Possible common biomarkers from FTIR microspectroscopy of cervical cancer and melanoma.

Authors:  S Mordechai; R K Sahu; Z Hammody; S Mark; K Kantarovich; H Guterman; A Podshyvalov; J Goldstein; S Argov
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