Bing Peng, M.Sc. is a research associate at lipidomics group at Leibniz-Institut für Analytische Wissenschaften (ISAS) in Dortmund, and a Ph.D. student in the institute of applied analytical chemistry at University of Duisburg-Essen, Germany. She completed her B.Sc. and M.Sc. in Chemistry at China Agricultural University, Beijing. Her research focuses on developing mass spectrometry based techniques to identify lipid biomarkers in severe bleeding diseases. In 2014 she began to use Skyline attracted by its streamlined data analysis features. As a non-informatician, she successfully adapted Skyline for targeted lipidomics analysis in her proof of concept study.

Adaptation of Skyline for Targeted Lipidomics

In response to the urgent-need for analysis software that is capable of handling data from targeted high-throughput lipidomics experiments, we here present a systematic workflow for the straightforward method design and analysis of selected reaction monitoring data in lipidomics based on lipid building blocks. Read More
Skyline is a powerful software primarily designed for proteomics applications where it is widely-used. We adapted this tool to a ‘Plug and Play’ system for lipid research. This extension offers the unique capability to assemble targeted mass spectrometry methods for complex lipids easily by making use of building blocks. With simple yet tailored modifications, targeted methods to analyze main lipid classes such as glycerophospholipids, sphingolipids, glycerolipids, cholesteryl-esters and cholesterol can be quickly introduced into Skyline for easy application by end users without distinct bioinformatics skills. To illustrate the benefits of our novel strategy, we used Skyline to quantify sphingolipids in mesenchymal stem cells.