ASMS 2019

Atlanta, Georgia
June 2 – 6

Breakfast Seminars

Monday, June 3
7:00 am – 8:00 am

Waters Hospitality Suite
International Ballroom F
OMNI Hotel

Biomarker Analysis, Discovery and Identification using Progenesis QI
Progenesis QI Software is very adaptable to many research applications. Join two of our users who have found success using Progenesis QI Software in their research. Learn more about how the software can effectively and robustly process a variety of lipidomic datasets from a traumatic brain injury model, and then hear about the use of Progenesis QI in a metabolomics approach to the study of preoperative metabolic alterations associated with prostate cancer recurrence.

Jace W. Jones, Ph.D.
Assistant Prof., Department of Pharmaceutical Sciences
University of Maryland, School of Pharmacy

The Use of Progenesis QI to Efficiently Process Lipidomic Data: Application to Traumatic Brain Injury

Lipids have significant potential to inform on disease and injury due to the pivotal role they play in many biological processes including cellular integrity and permeability, energy storage and metabolism, and signaling pathways. Heightened interest in the mechanism by which disruption of lipid metabolism and homeostasis contributes to a variety of human diseases and injuries (e.g., cancer, diabetes, neurodegenerative disorders, infectious diseases, and pulmonary conditions) has led to a substantial increase in lipidomic research. The field of lipidomics, broadly described as the comprehensive biochemical characterization of “all” lipids (referred to as the lipidome) within a cell, tissue, or organism presents a variety of analytical and data processing challenges. The analytical challenges result primarily from the dynamic range, vast structural diversity, and sheer number of biological lipids. These challenges have been commonly addressed using liquid chromatography coupled to high resolution tandem mass spectrometry. This workflow results in an information-rich data matrix that must be processed for retention time alignment, peak picking, adduct deconvolution, abundance, identification, and statistical analysis. Successful implementation of the aforementioned lipidomic workflow in a model system where two appropriate cohorts (e.g., disease vs control) are comparatively analyzed yields differential expression data delineating lipid profiles between the two groups and abundance of individual lipids.

The data processing challenges associated with efficiently and properly handling lipidomic data is not trivial and has been meet with a variety of software solutions. One such software solution is Progenesis QI from Nonlinear Dynamics (Waters). Progenesis QI offers a comprehensive workflow for efficiently processing LC-MS/MS generated lipidomic datasets. Progenesis QI is streamlined to handle multidimensional data in the form of chromatographic retention time, ion mobility, accurate mass, and data-independent acquisition. Data will be presented detailing the use of Progenesis QI to effectively and robustly process a variety of lipidomic datasets from a traumatic brain injury model.

David W. Gaul, Ph.D.
Systems Mass Spectrometry Core (SyMSC)
Georgia Institute of Technology

Preoperative Metabolomic Signature of Prostate Cancer Recurrence

World Congress Center
Room A402

Jacqueline Smith
Scientist
Mass Spectrometry and Biophysical Characterization (MSBC) laboratory
Pfizer

Improvements in LC-MS Subunit Analyses of mAbs and ADCs with Difluoroacetic (DFA) Acid-Containing Mobile Phases

Tuesday, June 4
7:00 am – 8:00 am

Waters Hospitality Suite
International Ballroom F
OMNI Hotel

For critical quality attributes or biotransformation, it may be useful to monitor biotherapeutic antibody variants from in-life studies. Recent advances in immunocapture LC-MS assays have enabled detection and quantification of such variants at the subunit or intact level. Background, method summaries, and case studies of an antibody-fusion protein and antibody-drug-conjugates will be presented.

Andy Mahan, Ph.D.
Sr. Research Scientist
Pharmaceutical Development and Manufacturing Sciences
Janssen Biologics

Unifi Workgroup Computing in a Biologics MS Characterization Lab

This presentation highlights the Unifi Scientific Information System workgroup as the central hub for an intact mass pipeline as well as released glycan library in our Core Biologics mass spectrometry group.  Our group’s main focus is in late discovery/early development stage of biologics development.   The Unifi workgroup is a server-based database that stores all MS data, methods, processed data and reports, and allows remote operation of the instrument as well as simultaneous access to multiple group members.  The importance and advantages of having all MS raw data files and processed data in a single location with version information are discussed.  Workgroups help to keep a busy MS lab organized and collaborate more effectively between group members and eventually other groups within the organization.   Data Integrity, traceability, and compliance are a major focus in MS labs today.

MS labs also require the capability to export data outside of the Unifi environment for parallel processing by additional third-party software.   For intact mass, the use of orthogonal data deconvolution methods is useful to evaluate clips, rule out artifacts, and assess relative peak response for quantitation.  Using the API interface, we’ve established an automated program to sweep newly acquired data to an external drive and convert to a Protein Metrics file format and then create PMI Intact files and reports.

Finally, several diverse examples are shown to display the diverse types of applications on the Vion IMS QTof.  The first on the use of the RapiFluor glycan library and assay for both typical mAb-released glycan assay and glycan characterization of more complex glycoprotein therapeutics.  Routine intact mass pipeline and native SEC-MS and peptide map with IM.

John F. Kellie
Associate Fellow and Investigator
Bioanalysis, Immunogenicity and Biomarkers
GSK

Monitoring Biotherapeutic Antibody Variants, Quality Attributes, and DARs from Pre-Clinical Studies

For critical quality attributes or biotransformation, it may be useful to monitor biotherapeutic antibody variants from in-life studies. Recent advances in immunocapture LC-MS assays have enabled detection and quantification of such variants at the subunit or intact level. Background, method summaries, and case studies of an antibody-fusion protein and antibody-drug-conjugates will be presented.

Wednesday, June 5
7:00 am – 8:00 am

Waters Hospitality Suite
International Ballroom F
OMNI Hotel

Kevin Giles, Ph.D
Scientific Fellow
Waters Corporation

The Cycle of Innovation: Next Generation Ion Mobility Mass Spectrometry

Over the past decade ion mobility (IM) coupled with mass spectrometry (MS) has evolved into an enabling analytical technique widely utilized in research areas ranging from small molecule structural elucidation to the detailed analysis of large protein complexes.

Find out how the next generation IM-MS instrumentation is enabling leading scientists to slice through current barriers and send their research into a spin. Hear about the technology from one of our research scientists and an early access partner, with the opportunity to share a coffee with the team who have developed the latest IM-MS instrumentation.