Literature DB >> 29497718

Deciphering the biochemical similarities and differences among mouse embryonic stem cells, somatic and cancer cells using ATR-FTIR spectroscopy.

Günnur Güler1, Eda Acikgoz, N Ülkü Karabay Yavasoglu, Buket Bakan, Erik Goormaghtigh, Huseyin Aktug.   

Abstract

Cellular macromolecules play important roles in cellular behaviors and biological processes. In the current work, cancer (KLN205), normal (MSFs) and mouse embryonic stem cells (mESCs) are compared using ATR-FTIR spectroscopy. Modifications in the composition, concentration, structure and function-related changes in the cellular components were deciphered using the infrared spectra. Our results revealed that cancer and embryonic stem cells are very similar but highly different from the normal cells based on the spectral variations in the protein, lipid, carbohydrate and nucleic acid components. The longest lipid acyl chains exist in mESCs, while cancer cells harbor the lowest lipid amount, short lipid acyl chains, a high content of branched fatty acids and thin cell membranes. The highest cellular growth rate and accelerated cell divisions were observed in the cancer cells. However, the normal cells harbor low nucleic acid and glycogen amounts but have a higher lipid composition. Any defect in the signaling pathways and/or biosynthesis of these cellular parameters during the embryonic-to-somatic cell transition may lead to physiological and molecular events that promote cancer initiation, progression and drug resistance. We conclude that an improved understanding of both similarities and differences in the cellular mechanisms among the cancer, normal and mESCs is crucial to develop a potential clinical relevance, and ATR-FITR can be successfully used as a novel approach to gain new insights into the stem cell and cancer research. We suggest that targeting the cellular metabolisms (glycogen and lipid) can provide new strategies for cancer treatment.

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Year:  2018        PMID: 29497718     DOI: 10.1039/c8an00017d

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  3 in total

1.  Biochemical detection of fatal hypothermia and hyperthermia in affected rat hypothalamus tissues by Fourier transform infrared spectroscopy.

Authors:  Hancheng Lin; Kaifei Deng; Ji Zhang; Lei Wang; Zhong Zhang; Yiwen Luo; Qiran Sun; Zhengdong Li; Yijiu Chen; Zhenyuan Wang; Ping Huang
Journal:  Biosci Rep       Date:  2019-03-15       Impact factor: 3.840

2.  Artificial neural network in the discrimination of lung cancer based on infrared spectroscopy.

Authors:  Eiron John Lugtu; Denise Bernadette Ramos; Alliah Jen Agpalza; Erika Antoinette Cabral; Rian Paolo Carandang; Jennica Elia Dee; Angelica Martinez; Julius Eleazar Jose; Abegail Santillan; Ruth Bangaoil; Pia Marie Albano; Rock Christian Tomas
Journal:  PLoS One       Date:  2022-05-12       Impact factor: 3.752

3.  Fourier Transform Infrared Spectroscopy Monitoring of Dihydroartemisinin-Induced Growth Inhibition in Ovarian Cancer Cells and Normal Ovarian Surface Epithelial Cells.

Authors:  Lei Li; Jinguang Wu; Shifu Weng; Limin Yang; Huizi Wang; Yizhuang Xu; Keng Shen
Journal:  Cancer Manag Res       Date:  2020-01-29       Impact factor: 3.989

  3 in total

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