Catch these great talks and presentations with work from our group this year at ASMS 2021!
Alexandria Van Grouw (WP-236) – Quantitative Metabolite Analysis Using IM-MS for Evaluation of MSC Potency
Tong Shen (ThP-217) – Differential Oxidized Complex Lipids in Bio-specimen by LC-DDA-MS/MS and Iterative MS/MS
Brianna M. Garcia (ThP-223) – Effect of UDP-glucuronosyltransferase (UGT) mutations on the untargeted metabolome and exogenous xenobiotic detoxification capabilities of Caenorhabditis elegans
Carter K. Asef (WOC-3:30PM) – Annotation of Unknowns in Metabolomics: A Comprehensive Workflow Leveraging Machine Learning and In Silico Ion Mobility Collision Cross Sections Predictions
Dmitry Leontyev (FP-306) – Probing the Molecular Basis of Mild Traumatic Brain Injury using Desorption Electrospray Ionization Cyclic Ion Mobility-Mass Spectrometry Imaging
Dmitry Leontyev (WP-105) – Ultrahigh Resolution Imaging Mass Spectrometry Unveils Lipidome Alterations in Mild Traumatic Brain Injury
Charles R. Evans (TOE-8:30AM) – The NIH Metabolomics Consortium Unknown Lipids Project: An Inter-laboratory Study of the ‘Dark Matter’ of Untargeted Lipidomics Data
David Gaul (TP-221) – Training of Rats Alters Lipidomic Profiles of Plasma and Eight Tissues
Markace Rainey (TP 240) – CCS Predictor 2.0: An Open Source Tool for Filtering Out False Positives in Metabolomics
Samyukta Sah (ThP-229) – Time-Resolved Metabolomics of High-Grade Serous Ovarian Cancer in a Mouse Model
Xin Ma (ThP-140) – Ultrahigh Resolution Imaging Mass Spectrometry Reveals Lipidome Alterations in Early-stage Ovarian Cancer
Stephen C. Zambrzycki (MP-045) – Machine Learning Approaches to Identify Pathogens using SPME-DART MS