Statistical Methods for Ion Mobility Spectrometry: A New Dimension for Proteomics

• Activity Number: 285
• Type: Topic Contributed
• Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
• Sponsor: Biometrics Section
• Author(s): Jeffrey R. Stanley*+
• Companies: Texas A&M University
• Keywords: ion mobility spectrometry ; mass spectrometry ; bioinformatics ; proteomics

Abstract

Traditionally mass spectrometry based proteomics approached couple liquid chromatographic separations (LC) with mass spectrometry (MS) to identify peptides and proteins. This coupling of orthogonal measurement techniques enables the analysis of complex biological samples. Our laboratory is developing the next generation of proteomics measurement platforms by adding an additional dimension of separation using ion mobility (IMS) between the LC and MS stages. This added dimension increase the measurement throughput but provides additional informatics challenges, including conformation detection and confidently matching conformations to peptide sequences. As more data are collected from these experiments, continued improvement and introduction of statistical tools to aid in the analysis is needed. We present a set of newly-developed algorithms for the statistical analysis of LC-IMS-MS data.