2016 SUMS-RAS

October 6, 2016
8 am - 4:30 pm
Location: Arrillaga Alumni Center [map, transportation & parking directions]
Admission: Free
Thanks for an outstanding meeting, and hope to see you next year!

A symposium for users of mass spectrometry resources as well as those interested in finding out more about applications of the technology. The Stanford University Mass Spectrometry Research Applications Symposium (SUMS-RAS) is an annual opportunity for Stanford and community scientists to meet, mingle, and learn about research resources and ongoing mass spec related research at Stanford.

Keynote Speaker: Richard N. Zare

We are delighted to have Richard N. Zare give the 2016 keynote presentation. Professor Zare is the Marguerite Blake Wilbur Professor of Natural Science with an appointment in the Department of Chemistry and (by courtesy) in the Department of Physics, Stanford University. He is renowned for his research in the area of laser chemistry, resulting in a greater understanding of chemical reactions at the molecular level. By experimental and theoretical studies he has made seminal contributions to our knowledge of molecular collision processes and contributed very significantly to solving a variety of problems in chemical analysis. Prof. Zare has long been involved in Hadamard transform TOF-MS, and more recently has moved into diverse applications of desorption electrospray ionization (DESI).
Mass Spectrometry: Drop by Drop Prof. Zare will be presenting recent work using droplets introduced into a mass spectrometer to (1) identify reaction intermediates; (2) propose reaction mechanisms; and (3) distinguish between cancerous and benign tissue samples.

We are delighted to have Richard N. Zare give the 2016 keynote presentation. Professor Zare is the Marguerite Blake Wilbur Professor of Natural Science with an appointment in the Department of Chemistry and (by courtesy) in the Department of Physics, Stanford University. He is renowned for his research in the area of laser chemistry, resulting in a greater understanding of chemical reactions at the molecular level. By experimental and theoretical studies he has made seminal contributions to our knowledge of molecular collision processes and contributed very significantly to solving a variety of problems in chemical analysis. Prof. Zare has long been involved in Hadamard transform TOF-MS, and more recently has moved into diverse applications of desorption electrospray ionization (DESI).

Mass Spectrometry: Drop by Drop

Prof. Zare will be presenting recent work using droplets introduced into a mass spectrometer to (1) identify reaction intermediates; (2) propose reaction mechanisms; and (3) distinguish between cancerous and benign tissue samples.

PROGRAM

8:00am	Registration/Breakfast Exhibits (all day)
8:30am	Welcome & Introduction
8:40am	Scientific Session I: Seed Grant Projects
	Unique fatty acid composition links epigenetic regulation to longevity in C. elegans Shuo Han, BS, Department of Genetics, Stanford University School of Medicine
	An LC-MS/MS study supporting the link between vitamin D and 27-hydroxycholesterol in breast cancer therapy Catherine Going, PhD, Department of Radiology, Stanford University School of Medicine
	Investigating the heat-stress response of Aiptasia, a sea-anemone model for coral bleaching Lori Ling, PhD, Department of Genetics, Stanford University School of Medicine
	Biomarkers for social and cognitive functioning in children with and without autism spectrum disorder Deb Karhson, PhD, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine
	Probing viral structure-function relationships with mass spectrometry Nicole Paulk, PhD, Departments of Pediatrics & Genetics, Stanford University School of Medicine
	Clinical Implications of the Photoproduct Ratios During Phototherapy for Neonatal Jaundice Angelo Lamola, PhD, Department of Pediatrics - Neonatology, Stanford University School of Medicine
10:45am	Morning Break
11:15am	Keynote Mass Spectrometry: Drop by Drop Prof. Richard N. Zare, PhD, Department of Chemistry, Stanford University
12:15pm	Lunch, Poster Session
1:15pm	Sponsor Seminars
	Complementary use of qualitative flux analysis and cellular metabolic analysis Steven Fischer, PhD, Director of Academia and Government Segment Marketing, Agilent Technologies, Agilent Technologies, Inc.
	Linking HRAM QTOF data to biology - Metabolite profiling driven by automatic de-replication, seamless identification of unknowns and pathway mapping Xuejun Peng, PhD, Bruker Daltonics
	The Lipidyzer™ Platform: A revolutionary tool for understanding the role of lipids in disease Baljit Ubhi, PhD, Global Staff Scientist – Metabolomics & Lipidomics Application Development, Sciex
	Accurate high throughput quantitation of cellular proteins: Impact on biological research Vlad Zabrouskov, PhD, Director, Advanced MS, Thermo Fisher Scientific
	Impact of high resolution mass spectrometry and ion mobility in metabolomics and lipidomics Suraj Dhungana, PhD, Manager, Americas Field Marketing for Metabolomics, Lipidomics and Translational Research, Waters Corporation
2:15pm	Afternoon Break
2:45pm	Scientific Session II: Ongoing Research
	Vicinal proteomics to characterize biological pathways and new disease targets Prof. Paul Khavari, MD, PhD, Department of Dermatology, Stanford University School of Medicine
	Bioactive small molecules from the human gut microbiome Dylan Dodd, PhD, Department of Pathology, Stanford University School of Medicine
4:00pm	Closing Reception & Raffle

Sponsor Seminars, 1-2 pm. Select during registration

Sponsor	Seminar topic:
Agilent	Complementary Use of Qualitative Flux Analysis and Cellular Metabolic Analysis Steven Fischer, PhD, Director of Academia and Government Segment Marketing, Agilent Technologies, Inc. Affecting energy metabolism is a strategy for many cancer therapies. This talk will demonstrate the use of cellular metabolism (Seahorse) and qualitative flux measurements (VistaFlux) to understand the underlying biology and mode of action of a drug candidate. Acute myeloid leukemia (AML) is the cancer model being studied and an investigational drug being developed at MD Anderson is used to demonstration the insight that can be gained from the joint use of Seahorse and VistaFlux technologies.
Bruker	Linking HRAM QTOF Data to Biology - Metabolite Profiling driven by Automatic De-replication, Seamless Identification of Unknowns and Pathway Mapping Xuejun Peng, PhD, Demo Scientist and Laboratory Manager, Bruker Daltonics The metabolome is an extremely complex mixture of chemically diverse small molecules covering a large dynamic range of concentrations. Metabolomics requires establishing simple and high throughput workflows for both targeted and non-targeted approaches for the identification of unknowns. A high resolution and mass accuracy quadrupole time-of-flight mass spectrometer was applied to study the arginine production in Corynebacterium glutamicum which is a gram-positive soil bacterium used as biotechnological workhorse for the production of amino acids and other primary metabolites like arginine. With rational gene strain design, the repressor genes argR involved in the biosynthesis of arginine and the expression of the arginine biosynthesis genes were investigated by proteomics and metabolomics approaches. Mass spectra (isotope, charge states, adducts) were processed with find molecular feature algorithm into same compound which is aligned with accurate mass, retention time, isotopic pattern and MS/MS spectra in metabolomics suites software to automatically identify the known and unknown compounds’ molecular formula and chemical structure. It is also fully integrated in house and online database query combined with in-silico fragmentation for structure assignment and verification. Pathway mapping of proteomics data shows increased abundance of enzymes involved in arginine biosynthesis in mutant strains, but only in combination with metabolomics could the influence on arginine production be determined.
Sciex	The Lipidyzer™ Platform: A Revolutionary Tool for Understanding the Role of Lipids in Disease Baljit Ubhi, PhD, Global Staff Scientist – Metabolomics & Lipidomics Application Development, Sciex The presentation will discuss the challenges in lipid analysis especially for quantitation. A novel lipid analysis platform will be discussed which overcomes these challenges. Biological validation data of the platform will also be shown. Learning points: What are the challenges in lipid analysis How the Lipidyzer Platform overcomes these challenges Benefits of the Platform How this platform can be used as a tool for understanding the role of lipids in disease
Thermo	Accurate High Throughput Quantitation of Cellular Proteins: Impact on Biological Research Vlad Zabrouskov, PhD, Director, Advanced MS, Thermo Fisher Scientific Novel Thermo Scientific™ TMT10plex™ isobaric mass tag labeling combined with Orbitrap high resolution accurate mass (HRAM) mass spectrometry (MS) enable greater multiplexing capacity, resulting in increased depth of quantitative proteomic analysis across larger numbers of samples. The improved sensitivity and accuracy achieved with Orbitrap HRAM MS and synchronous precursor selection (SPS)-based MS3 technology on the Thermo Scientific™ Orbitrap Tribrid™ MS systems provide a unique, unmatched capability to accurately measure the most subtle changes in low-abundance proteins. In this seminar, we will discuss how recent improvements in MS technology facilitate discovery and targeted approaches for multiplexed quantitative proteomics and present real-world applications from leading research laboratories.
Waters	Impact of High Resolution Mass Spectrometry and Ion Mobility in Metabolomics and Lipidomics Suraj Dhungana, PhD, Manager, Americas Field Marketing for Metabolomics, Lipidomics and Translational Research, Waters Corporation Routine use of ion mobility separation, orthogonal to UPLC and high resolution mass spectrometry, is an attractive tool for in-depth deciphering of the complexity of metabolomics and lipidomics samples. Ion mobility coupled high resolution mass spectrometry significantly helps overcome the two key challenges in metabolomics and lipidomics research: coverage of metabolome/lipidome and confident identification of metabolites/lipids. Chromatographic separation of metabolites in different biological matrices does not typically resolve all components and often lacks retention time reproducibility. The addition of ion mobility into the workflow increases peak capacity and selectivity, and can resolve potential isomeric/isobaric interference following chromatography. The collision cross-section (CCS) library obtained from mobility drift times together with accurate MS/MS fragmentation database of human metabolite libraries add confidence in metabolite identification. Applications and utility of ion mobility and data independent acquisition in metabolomics/lipidomics research will be discussed along with the processing of complex omics data using streamlined Progenesis QI informatics solution.