scholarly journals Bioinformatics Tools for Metabolomic Data Processing and Analysis Using Untargeted Liquid Chromatography Coupled With Mass Spectrometry

Author(s):  
Andrei G. Lazar ◽  
Florina Romanciuc ◽  
Mihai Adrian Socaciu ◽  
Carmen Socaciu
2019 ◽  
Vol 1052 ◽  
pp. 84-95 ◽  
Author(s):  
Chia-Lung Shih ◽  
Hsin-Yi Wu ◽  
Pao-Mei Liao ◽  
Jen-Yi Hsu ◽  
Chia-Yun Tsao ◽  
...  

RSC Advances ◽  
2015 ◽  
Vol 5 (1) ◽  
pp. 85-92 ◽  
Author(s):  
Chang Liu ◽  
Aihua Zhang ◽  
Ying Han ◽  
Shengwen Lu ◽  
Hui Sun ◽  
...  

Traditional Chinese Medicine (TCM) has been used in clinical practice for several thousand years, with an indispensable role in prevention and treatment of disease using multiple ingredients.


Metabolites ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 221
Author(s):  
Mareike Schulz ◽  
Vasiliki Gaitanoglou ◽  
Olena Mantel ◽  
Yannick Hövelmann ◽  
Florian Hübner ◽  
...  

The Escherichia coli (E. coli) strains Nissle 1917 (EcN), 83972 and CFT073 are closely related but differ in their phenotypes and pathogenicity. The aim of this study was to compare the metabolome of these strains based on metabolomic data analysis of bacterial samples using liquid chromatography-high resolution mass spectrometry (LC-HRMS). The strains were cultivated in minimum essential medium at 37 °C for 6 h. The sterilized culture supernatant was analyzed, followed by data processing to create feature lists, and statistical analysis to identify discriminating features in the metabolomes of the three strains. Metabolites were identified using the exact masses, isotope patterns, and fragmentation spectra. The results showed that the metabolome of EcN differs significantly from the metabolomes of E. coli 83972 and CFT073. Based on the analysis, yersiniabactin (Ybt), its metal complexes, and its known structural derivatives escherichelin and ulbactin B were identified as discriminating features; the latter has not been described for E. coli before. Additionally, novel Ytb derivatives were found and tentatively identified by LC-MS/HRMS. All these metabolites were determined in significantly higher levels in the metabolome of EcN compared to E. coli 83972, which may explain a large part of the observed differences of the metabolomes.


2011 ◽  
Vol 340 ◽  
pp. 266-272
Author(s):  
Hai Yan Fang ◽  
Guo Ping Zhang ◽  
Feng Gao ◽  
Xiao Ping Zhao ◽  
Peng Shen ◽  
...  

A growing number of literatures appealed the necessity to develop methods of data processing for peptidome profiling and analysis. Although some methods had been established, many of them focused on the development and application of auto integration softwares. In this work, we paid attention to comparison of auto integration by software and manual integration for peptidomics data based on high performance liquid chromatography coupled with mass spectrometry (HPLC-MS). Two data processing procedures, auto integration by XCMS and manual integration, were applied in processing of peptidomics data based on HPLC-MS from cerebral infarction and breast cancer patients blood samples, respectively. And, it was found that almost all peaks contained in chromatograms could be picked out by XCMS, but the areas of these peaks were greatly different from those given by manual integration. Furthermore, t-test (2-tailed) results of the two data processing procedures were also different and different potential biomarkers were obtained. The results of this work will provide helpful reference for data processing of peptidomics research.


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