A “Multi-Omics” Study of Metabolic Syndrome Disorders Using SONAR, a New Mass Spectrometry Data Independent Acquisition Mode
Powering biological insights is the need to precisely profile complex samples from large experimental cohorts. In order to be successful, the researcher is faced with the challenge of balancing metabolomic and proteomic coverage with accurate, reproducible and robust LC-MS measurements. In this presentation we will describe how SONAR, a fast and selective data independent acquisition mode is combined with UPLC and informatics workflows to address these challenges and look at an example applied to the study of metabolic syndrome disorders.
An Enhanced Discovery ‘Omics Workflow in Complex Biological Matrices - Finding the Needle in the Haystack
Discovery ‘Omics analysis is the first and most complex step in the overall workflow for Biomarker discovery. It involves quantitative analysis and comparison of all analytes (metabolites, lipids or peptides from protein digests) in complex mixtures between two or more conditions to discover what is changing expression and may therefore be considered candidate biomarkers. The normal method of discovery ‘Omics analysis, is compared with the more efficient co-detection method used in Progenesis QI software.
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