TY - JOUR
T1 - GC/MS-based metabolomics reveals fatty acid biosynthesis and cholesterol metabolism in cell lines infected with influenza A virus
AU - LIN, Shuhai
AU - Liu, Ning
AU - YANG, Zhu
AU - Song, Wenjun
AU - Wang, Pui
AU - Chen, Honglin
AU - Lucio, Marianna
AU - Schmitt-Kopplin, Philippe
AU - Chen, Guonan
AU - CAI, Zongwei
N1 - Funding Information:
The authors would like to thank the National Nature Sciences Foundation of China ( 20928005 ) for the financial support.
PY - 2010/11/15
Y1 - 2010/11/15
N2 - Metabolomics is the downstream of systems biology and has drawn significant interest for studying the metabolic networks from cells to organisms. To profile the metabolites in two different cell lines (A549 and AGS) infected with influenza A virus, gas chromatography coupled with mass spectrometry (GC/MS) was employed. Some differentiating metabolites in the cell lines were tentatively identified using reference library, interpreted and visualized by applying principal components analysis (PCA) and cluster heat map. Consequently, metabolic flux profiling allowed the differentiation of fatty acid biosynthesis and cholesterol metabolism during viral replication in the cell lines. The change in fatty acid turnover was also observed. Metabolomics investigation also revealed the different responses between A549 and AGS cell lines to the virus infection. From the pattern recognition results, AGS cell line might be more susceptible to influenza A virus. Regarding the fact that AGS is a poorly differentiated gastric adenocarcinoma cell line whereas A549 is a relatively differentiated lung tumor one, it is speculated that viral replication might be associated with the cell differentiations.
AB - Metabolomics is the downstream of systems biology and has drawn significant interest for studying the metabolic networks from cells to organisms. To profile the metabolites in two different cell lines (A549 and AGS) infected with influenza A virus, gas chromatography coupled with mass spectrometry (GC/MS) was employed. Some differentiating metabolites in the cell lines were tentatively identified using reference library, interpreted and visualized by applying principal components analysis (PCA) and cluster heat map. Consequently, metabolic flux profiling allowed the differentiation of fatty acid biosynthesis and cholesterol metabolism during viral replication in the cell lines. The change in fatty acid turnover was also observed. Metabolomics investigation also revealed the different responses between A549 and AGS cell lines to the virus infection. From the pattern recognition results, AGS cell line might be more susceptible to influenza A virus. Regarding the fact that AGS is a poorly differentiated gastric adenocarcinoma cell line whereas A549 is a relatively differentiated lung tumor one, it is speculated that viral replication might be associated with the cell differentiations.
KW - GC/MS
KW - Influenza A virus
KW - Metabolomics
KW - Multivariate data analysis
UR - http://www.scopus.com/inward/record.url?scp=78049365059&partnerID=8YFLogxK
U2 - 10.1016/j.talanta.2010.09.019
DO - 10.1016/j.talanta.2010.09.019
M3 - Journal article
AN - SCOPUS:78049365059
SN - 0039-9140
VL - 83
SP - 262
EP - 268
JO - Talanta
JF - Talanta
IS - 1
ER -