Proteomics / Metabolomics Breakout Session

• Metabolomics Analyses of M. tuberculosis: unusual lipids and platform/software compatibility – Branch Moody, Brigham and Women's Hospital

• PARC and Decoy and False Discovery Rates – Chris Becker, PPD, Inc.

• Large Scale Omics and the Requirements for Randomization and Blocking – Charles Ansong, Pacific Northwest National Laboratory

• Metabolomics Sample Preparation: Rapid Quenching of Metabolism vs Removal of Sample Matrix – Tom Metz, Pacific Northwest National Laboratory

Discussion Points

• Can chromatography be standardized across laboratories?– e.g. standard peptides as retention time locks

• Overall peptide scores are not as important as the relative rank of filter passing peptides

• Important to block/randomize samples during analysis to avoid confounding of data

• Can non-chemical inactivation methods be used?– e.g. gamma irradiation, UV light

• Complementary NMR analyses can assist identification of unknown compounds, but requires pure samples

• Presence of media constituents can hamper metabolomic/lipidomic analyses

• How will transcriptomic, proteomic, and metabolomic data be integrated and used?