Imperial College London
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Dr Hailin Zhao

Faculty of Medicine, Department of Surgery & Cancer

Research Associate
 
 
 
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Contact

 

hailin.zhao06

 
 
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Location

 

Chelsea and Westminster HospitalChelsea and Westminster Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hu:2020:10.1042/bsr20194027,
author = {Hu, C and Liu, Z and Zhao, H and Wu, L and Lian, Q and Ma, D and Li, JV},
doi = {10.1042/bsr20194027},
journal = {Bioscience Reports},
title = {A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using 1H-NMR spectroscopy},
url = {http://dx.doi.org/10.1042/bsr20194027},
volume = {40},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Cancer cell lines are very often used for cancer research. However, continuous genetic instability-induced heterogeneity of cell lines can hinder the reproducibility of cancer research. Molecular profiling approaches including transcriptomics, chromatin modification profiling and proteomics are used to evaluate the phenotypic characteristics of cell lines. However, these do not reflect the metabolic function at the molecular level. Metabolic phenotyping is a powerful tool to profile the biochemical composition of cell lines. In this study, 1H-NMR spectroscopy-based metabolic phenotyping was used to detect metabolic differences among 5 cancer cell lines, namely, lung (A549), colonic (Caco2), brain (H4), renal (RCC), and ovarian (SKOV3) cancer cells. The concentrations of choline, creatine, lactate, alanine, fumarate and succinate varied remarkably among different cell types.The significantly higher intracellular concentrations of glutathione, myo-inositol, and phosphocholine were found in the SKOV3 cell line relative to other cell lines. Glutamate is higher in both SKOV3 and RCC cells compared to other cell lines. For cell culture media analysis, isopropanol was found to be the highest in RCC media, followed by A549 and SKOV3 media, while acetone was the highest in A549, followed by RCC and SKOV3. These results demonstrated that 1H-NMR-based metabolic phenotyping approach allows us to characterize specific metabolic signatures of cancer cell lines and provides phenotypical information of cellular metabolism.
AU  - Hu,C
AU  - Liu,Z
AU  - Zhao,H
AU  - Wu,L
AU  - Lian,Q
AU  - Ma,D
AU  - Li,JV
DO  - 10.1042/bsr20194027
PY  - 2020///
SN  - 0144-8463
TI  - A biochemical comparison of the lung, colonic, brain, renal, and ovarian cancer cell lines using 1H-NMR spectroscopy
T2  - Bioscience Reports
UR  - http://dx.doi.org/10.1042/bsr20194027
UR  - https://portlandpress.com/bioscirep/article/doi/10.1042/BSR20194027/222600/A-Biochemical-Comparison-of-the-Lung-Colonic-Brain
UR  - http://hdl.handle.net/10044/1/77916
VL  - 40
ER  -
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