MANA 2022
  • Agenda
      All Thursday, September 15 Friday, September 16 Saturday, September 17 Sunday, September 18
  • Conference Info
      Conference Program & Abstracts Instructional Events/Workshops Full Abstract Posters Events Plenary Speakers Awards Accommodations Conference Location Travelling to Edmonton
  • Abstract Submission
  • Registration
  • Committees
  • Sponsors
  • Contact Info
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Sponsors


Agilent

Turnkey Methodology for Targeted Lipidomics
Presenter: Mark Sartain, Ph.D., Scientist, Agilent

A major challenge facing translational metabolomics is the successful implementation and harmonization of targeted methodologies to measure large population cohorts and to improve inter-laboratory precision enough to enable cross-laboratory comparisons of measurements. Come join Agilent and learn about:

  • A highly curated and proven robust plasma lipidomics LC/TQ method that balances depth of coverage with sample throughput across large population cohorts
  • Performance results from an interlaboratory multiday study to assess variance and demonstrate transferability in method implementation

Agilent

Avantilipids

METLIN: How to Analyze a Million Molecular Standards
Dr. Gary Siuzdak
Sr. Director of Scripps Center for Metabolomics and Professor of Chemistry, Molecular and Computational Biology

Analyzing over one million molecular standards is a challenging endeavor, especially when it needs to be accomplished at multiple collisional energies and in both positive and negative ionization modes. I will describe some of the details of how this was performed and why we have pursued not only tandem mass spectrometry (MS2) data acquisition but also a newly created (and only) neutral loss database that is also embedded within METLIN. The primary reason behind this effort is to create high confidence molecular identification of known molecules, and preliminary characterization of novel, unknown molecules (unknowns). METLIN is moving to become a truly comprehensive database with data on ~1% of PubChem’s 93 million compounds, essentially a number that can be characterized as all the currently known chemical space.

Avantilipids

Biocrates

Biocrates

Bruker

Bruker

Leco

The Role of GC×GC in Breath Analysis
Speaker: Jane E. Hill

Applications of GC×GC are as broad and extensive as for GC, testifying to the interest in evaluating the technique against one-dimensional methods. Metabolomics should be where GC×GC excels simply because it is—or should be—the ultimate in untargeted profiling of volatile compounds in samples. As an approach to investigate cancers, COVID-19, and other disease states, breath analysis has been an emerging, active field, although the studies are still few in terms of the populations surveyed, typically ranging from 10 to 200 subjects. Here, I will talk about some of those breath studies and the inherent importance of employing standardized approaches at every stage.

Leco

Metwarebio

Innovations and Applicationis using Widely-Targeted Metabolomics
Dr. Shih-Chieh Chu
Metware Biotechnology Inc.

The number of metabolites that we can identify today is only a fraction of what is predicted. Metware Biotechnology focuses on developing innovative metabolomics processes and database to improve metabolite identification and quantification. This talk will describe Widely-Targeted Metabolomics process with Metware's metabolite database development and how it applies to life science and biomedical research.

Metwarebio

MilliporeSigma

MilliporeSigma

Sciex

Employing new Technology for Bridging the Gap between Untargeted and Targeted Metabolomics
Dr. Maryam Goudarzi - Sr. Global Market Development & Marketing Manager, Small Molecule Omics

When performing metabolite identification from biological matrices, several strategies can be applied. On HRMS systems, untargeted analysis is performed using information dependent acquisition/data dependent acquisition (IDA/DDA). While this approach enables the identification of both expected and unknown metabolites, it suffers from gaps in MS/MS coverage or poor-quality MS/MS. In previous work, we showed that activation of the Zeno trap increased the MS/MS signal and peak area for polar metabolite fragments by up to 14x, leading to improved quantification and identification. Here, we will show a wider array of biological sample types to investigate using the Zeno trap with SWATH acquisition for data independent acquisition (DIA) to address current challenges in metabolomics analysis.


Quantitative Metabolic Pathway-specific Metabolomics using MRM based Techniques
Dr. Jun Han - Adjunct Assistant Professor, Metabolomics group leader and senior scientist, Genome BC Proteomics Centre, University of Victoria

Precision metabolomics necessitates high-sensitivity and reliable quantitation of endogenous metabolites in biological samples. Multiple-reaction monitoring mass spectrometry (MRM/MS) in combination with front-end LC separations has been the gold standard techniques in this regard. However, successful measurements of all known metabolites in specific metabolic pathways are often complicated by diversified structures of different metabolites and their wide concentration ranges. With the development and validation of dozens of different yet complementary LC-MRM/MS methods, with or without pre-analytical chemical derivatization, pathway-specific detection and precise/accurate quantitation of hundreds of endogenous metabolites involved in major metabolic pathways have been achieved. Examples for high-precision and high-accuracy metabolite analysis of central carbon metabolism, fatty acid metabolism and cholesterol synthesis/metabolism will be presented.

Sciex

Thermofisher

Intelligence-driven Metabolomics Workflows: Hardware and Software Innovations for Confident Differential Analysis, Unknown Annotation, and Biomarker Discover

Introduction
The field of Metabolomics has been advancing at an impressive rate, inspiring key analytical innovations designed to keep pace with the biological needs of a study. Despite these advances, challenges remain around compound annotation and identification, differential analysis as well biological interpretation. Here we highlight key hardware and software innovations designed to address these study bottlenecks. The unique fragmentation capabilities available on the Orbitrap IQ-X ™ Tribrid MS, such as UVPD, HCD, and CID, are used to distinguish isobaric structural isomers in the absence of chromatographic separation. Improved AcquireX workflows are shown to streamline structural library generation, leading to information-rich fragmentation of more experimentally relevant compounds, and most importantly, Compound Discoverer™ 3.3 software algorithm improvements and enhanced features, efficiently translating raw data from intelligence-driven data acquisition modes into meaningful results. This updated software version boasts a new peak detection algorithm, optimized for large data sets, that includes peak quality thresholding to improve detection and relative quantification. The hardware improvements of HRAM Orbitrap technology and CD 3.3 data processing software innovations provide confident differential analysis, unknown annotation, and biomarker discovery.

Conclusion
ThermoFisher Scientific is committed to advancing the field of metabolomics through intelligence-driven data acquisition, streamlined software processing strategies, and key hardware innovations that keep pace and push beyond the current analytical demands of the field.

Thermofisher

Waters

Multi-Reflecting Time-of-Flight: Redefining Discovery Metabolomics
Speaker: Dave Heywood
Senior Manager, Omics Business Development, Waters Corporation

As a sponsor of this year’s MANA lunch Seminar, Waters will discuss the SELECT SERIES MRTs performance for both imaging and LC-MS workflows in metabolomics and lipidomics applications. This novel time-of-flight technology combines unprecedented resolution and mass accuracy with the benefits of TOF, producing consistent mass resolution over a broad mass range and varying scan speeds.
Distinguishing the fine isotope structure of small molecules and resolving nominally isobaric interferences is now possible—without compromising on scan speeds compatible with the best chromatography or tissue imaging experiments. The results are unambiguous compound identification for even the most complex samples.


Translational Mass Spectrometry Imaging: Doctor did you get it all?
Speaker: Martin Kaufmann, PhD
Research Associate, Department of Medicine, Queen's University

Mass spectrometry imaging methods such as DESI (desorption electrospray ionization mass spectrometry) enable metabolomic profiling of tissue sections that may one day serve as ancillary tools for tissue diagnosis in the pathology lab. Another technique ‘I-knife’ based on rapid evaporative ionization mass spectrometry (REIMS) has been proposed as an intraoperative tool to help guide surgeons during tumor removal to reduce the need for re-operation due to remaining cancer cells on the periphery, known as positive margins. Unlike DESI, the spatial location of mass spectra cannot be determined by I-knife in its current form, which limits the ability to validate intraoperative data, or in future, inform the surgeon on the location a potential positive margin so that more tissue can be removed. The presentation will focus on the creation of ‘3D mass spectrometry imaging’ by combining I-knife with a spatio-temporal navigated cautery, and the application of this technology in the operating theatre to breast cancer surgery. Implications for real-time intraoperative margin assessment, and anticipated improvements to the ‘patient journey’ will be discussed.


Link to registration page
Waters


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