Summary of Study ST001176

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000788. The data can be accessed directly via it's Project DOI: 10.21228/M8TM3P This work is supported by NIH grant, U2C- DK119886.

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Study IDST001176
Study TitleMetabolite changes in human plasma before and after YF17D vaccination in symptomatic and asymptomatic subjects
Study SummaryPlasma was taken before and 1 day post-YF17D vaccination in a total of 13 subjects, of which 6 were asymptomatic and 7 were symptomatic.
Institute
Duke-NUS Medical School
Last NameChan
First NameKuan Rong
Address8 College Road Singapore 169857, Singapore, Singapore, 169857, Singapore
Emailkuanrong.chan@duke-nus.edu.sg
Phone90058277
Submit Date2019-04-25
Num Groups2
Total Subjects13
Raw Data AvailableYes
Analysis Type DetailCE-MS
Release Date2019-05-15
Release Version1
Kuan Rong Chan Kuan Rong Chan
https://dx.doi.org/10.21228/M8TM3P
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Sample Preparation:

Sampleprep ID:SP001250
Sampleprep Summary:CE-MS/MS profiling was conducted by Basic Scan package of Human Metabolome Technologies (HMT) using capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS).Briefly, CE-TOFMS analysis was carried out using an Agilent CE capillary electrophoresis system equipped with an Agilent 6210 time-of-flight mass spectrometer, Agilent 1100 isocratic HPLC pump, Agilent G1603A CE-MS adapter kit, and Agilent G1607A CE-ESI-MS sprayer kit (Agilent Technologies, Waldbronn, Germany). The systems were controlled by Agilent G2201AA ChemStation software version B.03.01 for CE (Agilent Technologies) and connected by a fused silica capillary (50 μm i.d. × 80 cm total length) with commercial electrophoresis buffer (H3301-1001 and H3302-1021 for cation and anion analyses, respectively, HMT) as the electrolyte. The spectrometer was scanned from m/z 50 to 1,000. Peaks were extracted using MasterHands, automatic integration software (Keio University, Tsuruoka, Yamagata, Japan) in order to obtain peak information including m/z, peak area, and migration time (MT)43. Signal peaks corresponding to isotopomers, adduct ions, and other product ions of known metabolites were excluded, and remaining peaks were annotated according to the HMT metabolite database based on their m/z values with the MTs. Areas of the annotated peaks were then normalized based on internal standard levels and sample volumes in order to obtain relative levels of each metabolite.
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