Summary of Study ST001525

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 PR001026. The data can be accessed directly via it's Project DOI: 10.21228/M82T3X 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.

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Study IDST001525
Study TitlePerfluorooctanesulfonic acid (PFOS) and perfluorohexanesulfonic acid (PFHxS) alter the blood lipidome and the hepatic proteome in a murine model of diet-induced obesity
Study SummaryPerfluorooctanesulfonic acid (PFOS) and perfluorohexanesulfonic acid (PFHxS) alter the blood lipidome and the hepatic proteome in a murine model of diet-induced obesity
Institute
University of Rhode Island;University of Georgia
DepartmentPharmaceutical and Biomedical Sciences
LaboratoryCummings/Slitt
Last NameIngram
First NameLishann
Address250 West Green Street Athens, GA 30605
Emailingram@carnegiescience.edu
Phone706-542-3792
Submit Date2020-07-30
Raw Data AvailableYes
Raw Data File Type(s)mzXML
Analysis Type DetailLC-MS
Release Date2020-12-01
Release Version1
Lishann Ingram Lishann Ingram
https://dx.doi.org/10.21228/M82T3X
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN002546
Analysis type MS
Chromatography type Reversed phase
Chromatography system Thermo-Fisher LTQ Orbitrap Elite
Column Bruker Micron Magic nanoC18 (130mm X 100um,5um)
MS Type ESI
MS instrument type Orbitrap
MS instrument name Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap
Ion Mode POSITIVE
Units Normalized Peak Height

MS:

MS ID:MS002364
Analysis ID:AN002546
Instrument Name:Thermo Orbitrap Elite Hybrid Ion Trap-Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Lipid structures were identified based on the retention time and subsequent MS/MS spectra. Essentially, we determined structural information through LC-MS/MS and normalization of available lipid standards using LipidMatch. First, lipidomics data processed lipid features using MZmine as described in (Koelmel et al. 2017). Features observed in the blanks were removed using the blank feature filtration method (Patterson et al. 2017). The blank feature filtration method compared to various other filtering methods has been shown to increase the removal of true negatives while decreasing the removal of true positives (Patterson et al. 2017). The resulting MZmine features were annotated using LipidMatch (Koelmel et al. 2017). These annotations are putative, as annotations are based on in-silico MS/MS spectral libraries without matching internal standards for validation and without confirmation using orthogonal approaches (Sumner et al. 2007). The lipid match program then provided a single point calibration using exogenous lipid internal calibrant that best represents the lipid feature (based on lipid class, adduct and retention time). An R script was applied that combined multiple lipid features (adducts) into one feature 4 representing a unique lipid molecule. All open source lipidomics tools are published and available at http://secim.ufl.edu/ secim-tools/.
Ion Mode:POSITIVE
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