Workshop Session AbstractsWorkshop SessionAbstracts(W1) The Diagnostics Core Facility: Harvestingthe Promise <strong>of</strong> Personalized Medicine(W1-1) Win on Sunday, Sell on Monday: From theExome Sequencing <strong>of</strong> One Boy to the Delivery <strong>of</strong>Clinical DiagnosticsM.R. TschannenHuman and Molecular Genetics Center, Department <strong>of</strong>Physiology, Medical College <strong>of</strong> Wisconsin, Milwaukee, WI,United StatesFor several years, there have been discussions about using bothSanger and whole genome sequencing in clinical practice. In late2009, the Medical College <strong>of</strong> Wisconsin initiated the infrastructureto streamline the delivery <strong>of</strong> current and emerging DNA technologiesinto state-<strong>of</strong>-the-art molecular diagnostics. The online publication <strong>of</strong>our initial case in Genetics <strong>of</strong> Medicine in late 2010 further intensifiedour efforts in this endeavor. However, being relatively new to thefield <strong>of</strong> NextGen sequencing, we began with the addition <strong>of</strong> Sangerdiagnostic sequencing to our already successful research core, whichat that point had been in operation for almost ten years. This was agreat undertaking, as typically, independent research laboratoriesperforming cutting-edge science lack the financial resources andbreadth <strong>of</strong> experience to launch their custom product or applicationto the diagnostic industry. An independent research laboratory is ableto resolve these shortages by partnering with a core laboratory staffedwith diagnostic expertise. Due to our lack <strong>of</strong> diagnostic experience, wequickly aligned the research core to a consortium <strong>of</strong> individuals withclinical experience to allow us to benefit from established diagnosticfacilities on campus. Difficulties faced at the onset <strong>of</strong> diagnostic startupwere many, including large issues such as accreditation program (CAPvs. CLIA), SOP generation and validation, competency and pr<strong>of</strong>iciencytesting, and reimbursement, as well as smaller problems like semiannualpipette calibration, temperature monitoring, and inventorycontrol. The purpose <strong>of</strong> this talk is to give insight into efficient ways toresolve these problems, both large and small, and transform a decadeor more <strong>of</strong> research expertise into a viable diagnostic laboratory.(W1-2) Chromosomal Microarray Analysis in theClinicL.D. WhiteMicroarray Core, Baylor College <strong>of</strong> Medicine, Houston, TX,United StatesCurrent Array Comparative Genomic Hybridization (aCGH) orChromosomal Microarray Analysis (CMA) performed at BaylorCollege <strong>of</strong> Medicine utilizes the latest microarray technology to detectunbalanced chromosome abnormalities associated with over 210 clinicaldisorders with exon by exon coverage <strong>of</strong> over 1,700 genes. We haveperformed approximately 35,000 postnatal CMA tests. Additionally,inclusive <strong>of</strong> our reported experience with 300 prenatal cases (PMID19012303), we now have CMA results on approximately 800 clinicalprenatal samples. This talk will cover the utility CMA for chromosomalabnormality detection in the clinical lab as well as development anddeployment <strong>of</strong> clinical tests from the core lab perspective.(W1-3) Whole Genome Sequencing in the ClinicalLaboratoryT. Hambuch, M. Laurent, B. Sickler, A. Liao, P. Cotter,S. Jain, Y. Lyan, J. Bernd, J.O. Daniel, P. Poggio, M. Ross,D. BentleyIllumina Clinical Services Laboratory, San Diego, CA, UnitedStatesThe advent <strong>of</strong> routine whole genome sequencing creates an opportunityto provide an accurate, comprehensive and cost-effective catalogue <strong>of</strong>germline variation for an individual. The process <strong>of</strong> sequencing anddelivering genomes for individual use must be driven by clinical andeducational opportunities balanced by addressing ethical concerns.Using guidelines issued from pr<strong>of</strong>essional and accrediting agenciesas well as an independent ethics board, we developed and launchedindividual genome sequencing (IGS) as a physician-led service. Aphysician orders the sequence and obtains informed consent from theindividual; the sample is sequenced within a CLIA certified laboratoryand after a series <strong>of</strong> quality checks the sequence is returned to thephysician for communication back to the individual. The sequencingplatform and process were validated for accuracy and precision, andaccredited following review by a College <strong>of</strong> American Pathologist(CAP) inspection team. Each individual genome is sequenced at >30fold coverage using paired-end reads <strong>of</strong> 100 base pairs. Resultingsequence information is provided for >93% <strong>of</strong> the NCBI36 genome, theremainder being mostly recently duplicated repeats where ambiguousread alignment is not permitted in our ELAND analysis. On average, wedetect over 3 million SNPs most <strong>of</strong> which are previously documentedin dbSNP129. The overall accuracy <strong>of</strong> our base calling is measured as>99.99% and the accuracy for SNP calling is >99.7% based on multiplemethodlogical assessments. The aim <strong>of</strong> the Illumina Clinical ServicesLaboratory is to make Individual Genome Sequencing accurate,accessible and clinically relevant for physicians and patients through afully accredited process. Here we have established baseline processes,tools, and policies to maximize the benefit to patients and minimizepotential misuse. Additionally, our ongoing efforts to develop clinicallyrelevant interpretation tools for physicians are described in a separateabstract (see M. Ross). Individual Genome Sequencing has the capacityto replace current genetic testing with a near-complete description <strong>of</strong>the sequence <strong>of</strong> an individual. Considering this potential, it is essentialto engage policy makers and ethicists so that appropriate policiesare developed around information access and use <strong>of</strong> whole genomeinformation.44 • <strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine
(W2) Spectral and Sequence DatabaseSearching in ProteomicsL. MartensGhent University, Ghent, BelgiumThis session will present an overview <strong>of</strong> more advanced methods tomatch acquired MS/MS spectra to peptides, including strategies todetect (unexpected) protein modifications, and the use <strong>of</strong> spectrallibraries for peptide identification by spectrum-to-spectrum matching.Introduced by some <strong>of</strong> the world’s foremost experts in these proteomicsinformatics challenges, this session is meant to provide a pragmaticintroduction to the topics for interested researchers, thus making thesemethods directly adoptable in the lab.(W2-1) ETD Performance and Complementarityto Other Fragmentation Methods for ProteomicAnalysisR. ChalkleyUniversity <strong>of</strong> California San Francisco, San Francisco, CA,United StatesRadical-driven fragmentation approaches present an alternative to thewell-established collisional cleavage approaches that have dominatedproteomic research up until now. With the recent availability <strong>of</strong>electron transfer dissociation (ETD) in commercial quadrupole iontrap and hybrid instruments, this technology is now accessible to manyresearchers. It has been described as a complementary approachto CID, and decision tree approaches have been employed where achoice between CID or ETD is made depending on the precursor m/zand charge. In this presentation I will discuss the performance <strong>of</strong> ETD forpeptide identification, drawing heavily on data acquired as part <strong>of</strong> the<strong>2011</strong> iPRG study ‘Identification <strong>of</strong> Electron Transfer Dissocation (ETD)Mass Spectra’. Results will be compared to analyses <strong>of</strong> the same sampleusing CID and HCD, decision tree approaches and the differencein measuring data in the ion trap versus in the orbitrap detector. Acomparison <strong>of</strong> search engine performance will be presented andmethods for improving database search engine analysis <strong>of</strong> ETD datawill also be discussed.(W2-2) Discovery, Identification and Localization <strong>of</strong>Post-Translational ModificationsN. BandeiraCenter for Computational Mass Spectrometry, Department<strong>of</strong> Computer Science and Engineering Skaggs School <strong>of</strong>Pharmacy and Pharmaceutical Sciences University <strong>of</strong>California, San Diego, CA, United StatesMass spectrometry based analysis <strong>of</strong> post-translational modificationscommonly report thousands <strong>of</strong> modified-peptide identificationsaccompanied by both precisely and ambiguously localizedmodification sites. Since these identifications <strong>of</strong>ten motivate extensivefollow up studies, the confident identification <strong>of</strong> the peptide andaccurate localization <strong>of</strong> the modification site(s) remains one <strong>of</strong> themajor challenges in computational proteomics. As revealed by the2010 iPRG study on identification <strong>of</strong> phosphopeptides and localization<strong>of</strong> phosphorylation sites, participants only attempted to call themodification sites for less than 2 out <strong>of</strong> every 3 identified spectraand actually disagreed on over 20% <strong>of</strong> all cases where at least twoparticipants called a modification site. In this talk we will cover currentand novel methods for identification <strong>of</strong> post-translationally modifiedpeptides and automated determination <strong>of</strong> site localization confidencescores and false discovery rates.(W2-3) Building and Using MS/MS Spectral Librariesfor Peptide Identifications in ProteomicsH. LamThe Hong Kong University <strong>of</strong> Science and Technology, ClearWater Bay, Hong Kong, ChinaSpectral library searching is an emerging approach in peptideidentifications from tandem mass spectra, a critical step in proteomicdata analysis. In this approach, a spectral library is first meticulouslycompiled from a large collection <strong>of</strong> previously observed and identifiedpeptide MS/MS spectra. An unknown spectrum is then identified bycomparing it to all the candidates in the spectral library for the mostsimilar match. Thanks to the reduction <strong>of</strong> search space to only thepreviously discovered peptides, and the use <strong>of</strong> real, experimentallyobserved reference spectra for more precise spectral matching, thisapproach is considerably faster and more sensitive than the popularalternative <strong>of</strong> sequence searching. This talk will explain the basicprinciples <strong>of</strong> spectral library building and searching, describe itsadvantages and limitations, and provide a starting point for researchersinterested in adopting this new approach in their data analysis. It willalso discuss the future outlook on the evolution and utility <strong>of</strong> spectrallibraries in the field <strong>of</strong> proteomics.(W3) Quantifying Protein Turnover by In VivoMetabolic Labeling(W3-1) Stable Isotope Tracers Applied to MeasuringRates <strong>of</strong> Protein Synthesis and Breakdown in Muscle:Principles and ApplicationsR.R. WolfeUniversity <strong>of</strong> Arkansas for Medical Sciences, Little Rock, AR,United StatesMuscle is in a constant state <strong>of</strong> turnover, meaning that it is continuouslysynthesized and broken down. The balance between the rates <strong>of</strong>synthesis and breakdown determines if an individual is gaining orloosing muscle mass. It is therefore <strong>of</strong> interest in a variety <strong>of</strong> physiologicalcircumstances to quantify the rates <strong>of</strong> muscle protein synthesis andbreakdown. Tracer methodology using both radioactive and stableisotopes has been used in a wide variety <strong>of</strong> kinetic studies, includingmeasurement <strong>of</strong> synthetic and breakdown rates <strong>of</strong> various compounds.Stable isotopes are particularly suited for the study <strong>of</strong> muscle proteinmetabolism, as multiple amino acid tracers can be used simultaneously,and multiple labels can be used with any individual amino acid,including labeling the nitrogen with 15N. Two basic approaches canbe used to measure muscle protein synthesis. The direct incorporation<strong>of</strong> a labeled amino acid is the most conventional. This techniqueinvolves infusion or injection <strong>of</strong> tracer and measurement <strong>of</strong> subsequentincorporation into muscle protein over time. The measurement <strong>of</strong> theprecursor enrichment, which is usually taken to be the free intracellularpool <strong>of</strong> the tracer amino acid, is necessary to calculate the actual rate<strong>of</strong> synthesis. Alternatively, the rate <strong>of</strong> muscle protein synthesis can bederived from the rate <strong>of</strong> uptake <strong>of</strong> an amino acid from blood. In thisWorkshop SessionAbstracts<strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine • 45
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This workshop will present ways to
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MARCH 16-20, 2012 • DISNEY’S CO