Posters
« Back
Applying Trapped Ion Mobility Separation (TIMS) in combination with Parallel Accumulation Serial Fragmentation (PASEF) for analysis of lipidomics samples
EP30256
Poster Title: Applying Trapped Ion Mobility Separation (TIMS) in combination with Parallel Accumulation Serial Fragmentation (PASEF) for analysis of lipidomics samples
Submitted on 07 Jun 2019
Author(s): Sebastian Götz1, Sven W Meyer1,Ulrike Schweiger-Hufnagel1,Aiko Barsch1, Ningombam Sanjib Meitei2
Affiliations: 1Bruker, Bremen, Germany 2PREMIER Biosoft, Indore, India
Poster Views: 775
View poster »


Poster Information
Abstract: Aiming at a deeper understanding of biochemistry, the analysis of lipid species is an important area. Untargeted lipidomics workflows target the profiling of changes in the lipidome in order to discover relevant lipids as potential biomarkers. This approach relies on robustly identifying a large number of lipids and statistically evaluating their relative
abundances. We present an improved lipidomics identification workflow that is based a combination of LC-MS and TIMS separation together with a very fast data dependent
MS/MS fragmentation (PASEF)1. The comprehensive data sets are processed and statistically evaluated with MetaboScape software in combination with SimLipid software
for identification of the lipids. Serum samples of 4 different species were evaluated (human, pig, chicken, bovine).
Summary: We present an improved lipidomics identification workflow that is based a combination of LC-MS and TIMS separation together with a very fast data dependent MS/MS fragmentation (PASEF)1. References: (1) Meier et al.; J. Proteome Res. 2015, 14:5378-5387
(2) Wörmer et al.; Org Geochem 2013, 59:10-21
Report abuse »
Questions
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters


Mass Spectrometry
Alfa Chemistry Testing Lab

Comprehensive one-stop platform to accelerate research
Creative Proteomics

Targeted Dereplication of Microbial Natural Products by High-Resolution MS and Predicted LC Retention Time
Chervin J,1 Stierhof M,1 Tong MH,1 Peace D,1 Hansen KØ,2 Urgast DS,1 Andersen JH,2 Yu Y,3 Ebel R,1 Kyeremeh K,4 Paget V,5 Cimpan G,5 Van Wyk A,5 McKee M,5 Deng H,1 Jaspars M,1 Tabudravu JN1

Efficient Management of Extractable & Leachable Data in Process Development
Sanji K. Bhal, Joe DiMartino

Chemokine Signaling Pathway
Creative BioMart