156 Comparison <strong>of</strong> Custom TargetEnrichment Methods: Agilent vs.NimblegenK. Bodi 1 , P.S. Adams 2 , D. Bintzler 3 , A. Perera 4 ,K. Dewar 5 , D.S. Grove 6 , J. Kieleczawa 7 , R.H. Lyons 8 ,T. Neubert 9 , A. C. Noll 1 , S. Singh 10 , R. Steen 11 ,M. Zianni 121Tufts University, Boston, MA, United States;2Trudeau Institute, Saranac Lake, NY, UnitedStates; 3 DNA Analysis, Inc., Cincinnati, OH, UnitedStates; 4 Stowers Institute, Kansas City, MO, UnitedStates; 5 McGill University, Montreal, QC, Canada;6Pennsylvania State University, University Park,PA, United States; 7 Pfizer Research, Cambridge,MA, United States; 8 University <strong>of</strong> Michigan, AnnArbor, MI, United States; 9 New York University, NewYork, NY, United States; 10 University <strong>of</strong> Minnesota,Minneapolis, MN, United States; 11 Harvard MedicalSchool, Cambridge, MA, United States; 12 OhioState University, Columbus, OH, United StatesOver the last four years, we witnessed the tremendous advances inNext Generation Sequencing (NGS) that have dramatically decreasedthe cost <strong>of</strong> whole genome sequencing. However, the cost <strong>of</strong> sequencinglarger genomes is still significant. In addition and depending on thegoal <strong>of</strong> study, whole genome sequencing creates a large amount <strong>of</strong>additional/auxiliary data that complicates data analysis. There areseveral commercial methods available for isolating subsets <strong>of</strong> genomesthat greatly enhance the efficiency <strong>of</strong> NGS by allowing researchersto focus on their regions <strong>of</strong> interest. For the 2009-11 DSRG study,we compared products from two leading companies; Agilent andNimblegen, that <strong>of</strong>fer custom enrichment methods. Both companiesobtained the same genomic DNA stock and performed DNA captureon the same specified regions. Following capture, the Illumina GenomeAnalyzer IIx system was used, in two different laboratories, to generatethe sequence data. We present our data comparing in terms <strong>of</strong> cost,quality, reproducibility and most importantly completeness and depth<strong>of</strong> coverage. Acknowledgements: We would like to thank Agilent,Illumina and Nimblegen for all their support in making this studypossible.157 A Methodology Study forMetagenomics Using Next GenerationSequencersD. Grove 1 , I. Albert 1 , D. Bintzler 2 , K. Bodi 3 ,M. Bruns 1 , K. Dewar 4 , G. Gloor 5 , T. Johnson 6 ,J. Kieleczawa 7 , R.H. Lyons 8 , T. Neubert 9 ,A.G. Perera 10 , S. Singh 6 , R. Steen 11 , M. Zianni 121Penn State University, University Park, PA, UnitedStates; 2 DNA Analysis, Inc., Cincinnati, OH, UnitedStates; 3 Tufts University, Boston, MA, UnitedStates, 4 McGill University, Montreal, QC, Canada;5University <strong>of</strong> Western Ontario, London, ON,Canada; 6 University <strong>of</strong> Minnesota, Minneapolis,MN, United States; 7 Pfizer Research, Cambridge,MA, United States; 8 University <strong>of</strong> Michigan, AnnArbor, MI, United States; 9 New York University, NewYork, NY, United States; 10 Stowers Institute, KansasCity, MO, United States; 11 Harvard Medical School,Cambridge, MA, United States; 12 Ohio StateUniversity, Columbus, OH, United StatesMetagenomics is one <strong>of</strong> several genomics applications, which hasbenefited immensely from the high throughput and cost efficacy <strong>of</strong>Next Generation sequencers. And although hundreds <strong>of</strong> studies onmetagenome analysis have been published over the past few years,the methodology for conducting them is still very much evolving.In this DSRG study we will evaluate the influence <strong>of</strong> various samplepreparation methods, specifically DNA extraction and amplificationapproaches, on data output along with a comparative analysis <strong>of</strong> NextGeneration sequencing platforms. We will study the effect <strong>of</strong> thesedifferent experimental and technical strategies on determination <strong>of</strong>sample biodiversity.158 What Your Blood Has to Say:Amplifying Blood RNA for theAffymetrix GeneChip® PlatformN. Supunpong Hernandez, T. Barta, C. Willis,R. Conrad, P. Whitley, K. BramlettLife Technologies, Austin, TX, United StatesPoster AbstractsGene Expression measurements from human blood RNA havebecome an increasingly important research area <strong>of</strong> focus. A reliableand consistent workflow to obtain RNA measurements from bloodwould serve to open the clinical arena to gene expression studies aspotential diagnostic indicators. The challenge lies in isolating highquality RNA from human whole blood at room temperature withoutcompromising gene expression pr<strong>of</strong>iles. To address this challenge, wereport a workflow using newly developed MagMax TM RNA isolation kitsfor Tempus TM stabilized blood and PAXgene® stabilized blood. Thesetwo stabilization methods are currently the most widely used methodsfor blood collection and stabilization in clinics in the United States.High quality RNA generated from these two RNA isolation processeswas amplified using the Ambion MessageAmp TM Premier RNAAmplification Kit and hybridized to Affymetrix GeneChip® microarrays.This platform and experimental tools are used, in combination, todemonstrate high quality gene expression pr<strong>of</strong>iles from human bloodRNA. The reported experimental design includes human whole bloodobtained from two donors collected and stabilized in either Tempus TMPAXgene® tubes. RNA was isolated using new MagMax TM RNA isolation76 • <strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine
kits for Tempus TM and PAXgene® stabilized blood. Isolated total RNAwas then processed through the GLOBINclear TM -Human kit and thenamplified with the MessageAmp TM Premier kit creating a library forhybridization to the Affymetrix Human U133A 2.0 expression arrays.Affymetrix GeneChip® microarray analysis showed parameters withinnormal limits for expressed genes. Reported results<strong>of</strong> this controlledexperiment, support a validated gene expression workflow for bloodon Affymetrix expression arrays using a combination <strong>of</strong> commercial kitsfor RNA purification from stabilized blood and library amplificationoptimized for hybridization and analysis on expression microarrays.159 Performance Comparison <strong>of</strong> FourMethods Utilized for the Purification<strong>of</strong> Enzymatically-Digested,Fluorescently-Labeled PCR FragmentsGenerated During T-RFLP AnalysisM. Zianni, J. Panescu, P. KumarThe Ohio State University, Columbus, OH, UnitedStatesThe fluorescently-labeled Terminal Restriction Fragment LengthPolymorphism (T-RFLP) assay based on amplified ribosomal DNAfrom bacteria is an inexpensive, widely accessible, effective and wellestablishedmolecular technique for the identification and comparativequantification <strong>of</strong> bacterial species in metagenomics. In order t<strong>of</strong>acilitate the detection <strong>of</strong> a large proportion <strong>of</strong> species in a givensample, it is necessary to maximize the recovery <strong>of</strong> the fluorescentlylabeled,restriction enzyme-digested PCR fragments generatedduring the process. The post-digestion purification method used t<strong>of</strong>acilitate fragment separation is a critical step in the retention <strong>of</strong> DNAfragments. Four methods for post-digestion purification were testedin an effort to characterize their integrity, effectiveness, ease <strong>of</strong> useand potential biases: solid phase reversible immobilization (AMPure TMand CleanSEQ TM ), contaminant capture (BigDye® XTerminator TM ),and dialysis (Millipore TM Nitrocellulose Membranes). Samples werecollected from four different oral sites in each <strong>of</strong> 16 patients. Eachsample was divided equally and the DNA was isolated with two distinctmethods. PCR reactions were carried out with two paired universalprimers for the 16S gene that were labeled with VIC and FAM, purifiedwith AMPure TM and digested separately with HhaI and MspI restrictionenzymes. From each <strong>of</strong> the digestions, identical aliquots were purifiedwith the four different methods. The DNA fragments were analyzedon the Applied BioSystems TM 3730 DNA Analyzer using identicalconditions, followed by data analysis with GeneMapper® v4.0. Basedon preliminary data analysis, CleanSEQ TM is the superior purificationmethod because it resulted in the most numerous peaks recovered persample with a wide distribution <strong>of</strong> sizes from approximately 50 to 1200bp.160 Electrochemical Simulation<strong>of</strong> Covalent DNA AdductFormation Monitored with LiquidChromatography/Mass SpectrometryJ. Powers 2 , S. Plattner 1 , R. Erb 1 , F. Pitterl 1 ,J.P. Chervet 2 , H. Oberacher 11Institute <strong>of</strong> Legal Medicine, Innsbruck MedicalUniversity, Innsbruck, Austria; 2 Antec, Palm Bay, FL,United StatesDNA adduct is a piece <strong>of</strong> DNA covalently bond to chemicals. Adductsactivate repair processes and, unless repaired prior to replication, maylead to nucleotide substitutions, deletions, and other rearrangements.As alterations <strong>of</strong> the genetic material can cause severe diseasesincluding cancer, inflammation, and neurodegenerative disorders,tests on mutagenicity/genotoxicity have become an integral part <strong>of</strong> riskassessment during the development <strong>of</strong> any new chemical. A number <strong>of</strong> invitro tests using different cell lines and in vivo tests mainly using rodentsare available to identify hazardous compounds. The majority <strong>of</strong> thesetests are time-consuming, labor-intensive and hardly automatable. So insearch for alternative methods, the usefulness <strong>of</strong> electrochemistry (EC)-liquid chromatography (LC)-mass spectrometry (MS) was evaluated.Generally, EC represents a powerful tool to study in vitro biologicaloxidation processes <strong>of</strong> a number <strong>of</strong> different compounds, includingdrugs, peptides and proteins. Here, we used EC to initiate adductformation. The obtained reaction products were separated by LC anddetected by MS. Tandem MS experiments were used for structuralconfirmation. In a pro<strong>of</strong> <strong>of</strong> principle study acetaminophen was selectedas model compound. Covalent adduct formation was observed forelectrochemical activated mixtures <strong>of</strong> acetaminophen and guanosine.Mechanistic studies revealed that adduct formation will only start atelectrochemical potentials sufficiently high to initiate oxidation <strong>of</strong> bothacetaminophen and guanosine. The stringent necessity <strong>of</strong> coactivationsheds a new light on the mechanism <strong>of</strong> adduct formation, becauseaccording to the generally accepted theory activation <strong>of</strong> the adductformingagent should be sufficient. Chromatographic separationenabled the differentiation <strong>of</strong> four isomeric forms. Their connection toacetaminophen was proven in dose-response experiments. EC/LC/MSrepresents a fast, simple, convenient and functional tool to study DNAadduct formation which has great potential to complement the existingbattery <strong>of</strong> mutagenicity/genotoxicity tests.**161 Quantitative miRNA ExpressionAnalysis Using Fluidigm Micr<strong>of</strong>luidicsDynamic ArraysJ. Jen, J. Sung Jang, V.A. Simon, R.M. Feddersen,F. Rakhshan, D.A. Schultz, M.A. Zschunke,W.L. Lingle, C.P. Kolbert.Mayo Clinic Micorarray Shared Resource andBiospecimens Accessioning Processing SharedResource, Rochester, MN, United StatesPoster AbstractsMicroRNA (miRNA) is a small non-coding RNA that can regulate geneexpression in both plants and animals. Studies showed that miRNAs playa critical role in human cancer by targeting messenger RNAs that arepositive or negative regulators <strong>of</strong> cell proliferation and apoptosis. Here,we evaluated miRNA expression in formalin fixed, paraffin embedded(FFPE) samples and fresh frozen (FF) samples using a high throughputqPCR-based micr<strong>of</strong>luidic dynamic array technology (Fluidigm). Wecompared the results to hybridization-based microarray platforms<strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine • 77
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Meeting SponsorsThe Association of
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AwardsABRF Annual Award for Outstan
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ABRF Robert A. Welch Outstanding Re
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MARCH 16-20, 2012 • DISNEY’S CO