Summary of Study ST002136

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 PR001353. The data can be accessed directly via it's Project DOI: 10.21228/M8TQ43 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  
Download mwTab file (text)   |  Download mwTab file(JSON)   |  Download data files (Contains raw data)
Study IDST002136
Study TitleTargeted Microchip Capillary Electrophoresis-Orbitrap Mass Spectrometry Metabolomics to Monitor Ovarian Cancer Progression (calibration standards)
Study SummaryThe lack of effective screening strategies for high-grade serous carcinoma (HGSC), a subtype of ovarian cancer (OC) responsible for 80% of OC related deaths, emphasizes the need for new diagnostic markers and a better understanding of disease pathogenesis. Capillary electrophoresis (CE) coupled with high-resolution mass spectrometry (HRMS) offers high selectivity and sensitivity, thereby increasing metabolite coverage and consequently enhancing biomarker discovery. Recent advances in CE-MS include small, chip-based CE systems coupled with nanoelectrospray ionization (nanoESI) to provide rapid, high-resolution analysis of biological specimens. Here, we describe the development of a targeted microchip (µ) CE-HRMS method to analyze 40 target metabolites in serum samples from a triple-mutant (TKO) mouse model of HGSC, with an acquisition time of only 3 min. Extracted ion electropherograms showed sharp, highly resolved peak shapes, even for structural isomers such as leucine and isoleucine. All analytes maintained good linearity with an average R2 of 0.994, while detection limits were in the nM range. Thirty metabolites were detected in mice serum, with recoveries ranging from 78 to 120 %, indicating minimal ionization suppression and good accuracy. We applied the µCE-HRMS method to sequentially-collected serum samples from TKO and TKO-control mice. Time-resolved analysis revealed characteristic temporal trends for amino acids, nucleosides, and amino acids derivatives associated with HGSC progression. Comparison of the µCE-HRMS dataset with non-targeted ultra-high performance liquid chromatography (UHPLC) – MS results revealed identical temporal trends for the 5 metabolites detected on both platforms, indicating the µCE-HRMS method performed satisfactorily in terms of capturing metabolic reprogramming due to HGSC progression, while reducing the total analysis time 3-fold.
Institute
Georgia Institute of Technology
Last NameSah
First NameSamyukta
Address901 Atlantic Dr NW, Atlanta, GA, 30332, USA
Emailssah9@gatech.edu
Phone5746780124
Submit Date2022-04-11
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailLC-MS
Release Date2022-05-02
Release Version1
Samyukta Sah Samyukta Sah
https://dx.doi.org/10.21228/M8TQ43
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Factors:

Subject type: Synthetic sample; Subject species: - (Factor headings shown in green)

mb_sample_id local_sample_id factor
SA2052100.1uMstdmix_run1standard mix
SA2052110.1uMstdmix_run2standard mix
SA2052120.05uM_stdmix_run2standard mix
SA20521325uM_run3standard mix
SA2052140.05uM_stdmix_run1standard mix
SA20521525uM_run2standard mix
SA2052165uM_run2standard mix
SA20521710uM_run1standard mix
SA20521810uM_run2standard mix
SA2052191uM_stdmix_run1standard mix
SA2052201uM_stdmix_run2standard mix
SA20522110uM_stdmix_run2standard mix
SA205222sample2-2-run2standard mix
SA205223sample2-2-run3standard mix
SA20522410uM_stdmix_run1standard mix
SA20522525uM_stdmix_run2standard mix
SA2052262.5uM_stdmix_run1standard mix
SA2052272.5uM_stdmix_run2standard mix
SA20522825uM_stdmix_run1standard mix
SA2052295uM_run1standard mix
SA2052302.5uM_run2standard mix
SA205231sample4-1standard mix
SA205232sample4-2standard mix
SA205233sample5-1standard mix
SA205234sample5-2standard mix
SA205235sample3-2standard mix
SA205236sample3-1standard mix
SA205237sample1-3standard mix
SA205238sample2-1standard mix
SA205239sample2-2standard mix
SA205240sample6-1standard mix
SA205241sample6-2standard mix
SA2052420.025uM_run2standard mix
SA2052431uM_run1standard mix
SA2052441uM_run2standard mix
SA2052452.5uM_run1standard mix
SA2052460.025uM_run1standard mix
SA2052470.05uM_run2standard mix
SA2052480.1uM_run1standard mix
SA2052490.1uM_run2standard mix
SA2052500.05uM_run1standard mix
SA205251sample1-2standard mix
Showing results 1 to 42 of 42
  logo