Research GroupPresentation Abstracts(R3b) DNA Sequencing Research Group (DSRG)(R3b-1) Comparison <strong>of</strong> Custom Target EnrichmentMethods; Agilent vs. NimblegenA. Perera 4 , K. Bodi 1 , P.S. Adams 2 , D. Bintzler 3 , 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; 2 TrudeauInstitute, Saranac Lake, NY, United States; 3 DNA Analysis,Inc., Cincinnati, OH, United States; 4 Stowers Institute, KansasCity, MO, United States; 5 McGill University, Montreal, QC,Canada; 6 Pennsylvania State University, University Park,PA, United States; 7 Pfizer Research, Cambridge, MA, UnitedStates; 8 University <strong>of</strong> Michigan, Ann Arbor, MI, UnitedStates; 9 New York University, New York, NY, United States;10University <strong>of</strong> Minnesota, Minneapolis, MN, United States;11Harvard Medical School, Cambridge, MA, United States;12Ohio State 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.(R3b-2) A Methodology Study for MetagenomicsUsing Next Generation SequencersS. Singh 1 , D. Grove 21Biomedical Genomics Center, University <strong>of</strong> Minnesota,Saint Paul, MN, United States; 2 Genomics Core Facility, HuckInstitutes for Life Sciences, Pennsylvania State University,University Park, PA, 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.(R4) Joint Session: Protein Sequencing ResearchGroup (PSRG) & Glycoprotein Research Group(gPRG)(R4a) PSRG <strong>2011</strong> Study Results: SensitivityAssessment <strong>of</strong> Terminal Sequencing TechniquesUsing an Unknown ProteinJ.J. Walters 1 , W. Sandoval 2 , K. Mawuenyega 3 ,J.S. Smith 4 , H. Remmer 5 , B. Xiang 6 , D. Suckau 7 , V. Katta 2 ,P. Hunziker 81Sigma-Aldrich, St. Louis, MO, United States; 2 Genentech,Inc., South San Francisco, CA, United States, 3 WashingtonUniversity School <strong>of</strong> Medicine, St. Louis, MO, United States,4University <strong>of</strong> Texas Medical Branch, Galveston, TX, UnitedStates, 5 University <strong>of</strong> Michigan, Ann Arbor, MI, UnitedStated, 6 Monsanto Company, St. Louis, MO, United States,7Bruker Daltonics, Bremen, Germany, 8 University <strong>of</strong> Zurich,Zurich, SwitzerlandEstablishing the N-terminal sequence <strong>of</strong> intact proteins plays a criticalrole in biochemistry and potential drug development. N-terminalsequence analysis is necessary for quality control <strong>of</strong> protein biologics,for determining sites <strong>of</strong> signal peptide cleavage events, as a first stepin elucidating the sequences <strong>of</strong> genes from uncommon species andfor the characterization <strong>of</strong> monoclonal antibodies. Automated Edmandegradation has been the method <strong>of</strong> choice for these analyses. However,alternate methods for N-terminal sequence analysis have emerged. Therecent PSRG studies have established that Edman sequencing and massspectrometry based techniques have varied strengths and weaknessesdepending on several experimental factors and both play an importantrole in terminal sequencing. With this complimentary role realized,the <strong>2011</strong> PSRG study attempts to evaluate the sensitivity limits <strong>of</strong> thevarious sequencing techniques. The PSRG distributed three samplesets <strong>of</strong> 3 tubes each, varying by sample format (lyophilized, gel sliceor membrane piece). Each set <strong>of</strong> three samples contains the samerecombinant protein with increasing amounts <strong>of</strong> material. The sequence<strong>of</strong> this protein is not listed in any database. Participants could requestany one, two, or all three sample sets. Including PSRG committee, a total<strong>of</strong> 38 participants requested 74 sample sets. The participants wereasked to determine as many amino acids from both termini by theirmethod <strong>of</strong> choice, and were encouraged to try multiple methods forsequence elucidation. Study participants were directed to a websiteto anonymously upload sequences and supporting data. Our analysisfocuses on the length and accuracy <strong>of</strong> the sequence calls reported bythe participants, and how that compares with decreasing amounts <strong>of</strong>protein and the type <strong>of</strong> sample format analyzed. A comparison <strong>of</strong> theresults obtained by Edman chemistry and by alternative technologiesas well as information on the type <strong>of</strong> instruments and protocols isreported.56 • <strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine
(R4b) gPRG: Toward Consensus on Glycan Analysis:Reliable Methods and ReproducibilityJ. Zaia 1 , D. Kolarich 2 , R. Orlando 31Boston University, Boston, MA, United States; 2 Max PlanckInstitute <strong>of</strong> Colloids and Interfaces, Berlin, Germany; 3 TheUniversity <strong>of</strong> Georgia Carbohydrate Research Center,Atlanta, GA, United StatesThe field has undertaken over the past few years a series <strong>of</strong> studies toevaluate methods for glycan analysis. There are several methods thatare widely used at this time for characterization <strong>of</strong> glycoprotein glycansthat appear to be generally reliable. These include (1) reductiveamination followed by reversed phase chromatography, (2) reductiveamination with matrix assisted laser desorption/ionization (MALDI)mass spectrometry (MS), (3) reductive amination with electrosprayliquid chromatography-MS, and (4) permethylation with tandem MS.The <strong>ABRF</strong> glycoprotein research group (gPRG) is planning a study inwhich participant laboratories carry out glycan analysis according toprotocols representing best practice in the field. The results will bepresented at the 2012 <strong>ABRF</strong> meeting. The results will be useful fordemonstrating the reproducibility <strong>of</strong> glycan analysis using comparableprotocols. They will also highlight the extent to which different methodsbias the glycan analysis results obtained. This workshop will summarizethe history and use <strong>of</strong> the glycan analysis methods proposed for the2012 study. There will be opportunity for discussion and comment onthese methods.(R5) Joint Session: Nucleic Acids Research Group(NARG) & MicroArray Research Group (MARG)(R5a) Determining miRNA Expression Levels inDegraded RNA Samples Using Real-Time RT-qPCRand Microarray TechnologiesS. Chittur 1 , S. Tighe 2 , J. Holbrook 3 , V. Nadella 4 ,R. Carmical 5 , K. Sol-Church 3 , A.T. Yueng 61State University <strong>of</strong> New York at Albany, Albany, NY, UnitedStates; 2 University <strong>of</strong> Vermont, Burlington, VT, United States;3Nemours/A.I. duPont Hospital for Children, Wilmington, DE,United States; 4 Ohio University, Athens, OH, United States;5The University <strong>of</strong> Texas Medical Branch, Galveston, TX ,United States; 6 Fox Chase Cancer Center, Philadelphia, PA,United StatesThe Nucleic Acid Research Group (NARG) has previously conductedstudies evaluating the impact <strong>of</strong> RNA integrity and priming strategieson cDNA synthesis and real-time RT-qPCR. The results <strong>of</strong> last year’s fieldstudy as it relates to degraded RNA will be presented. In continuation<strong>of</strong> the RNA integrity theme, this year’s study was designed to evaluatethe impact <strong>of</strong> RNA integrity on the analysis <strong>of</strong> miRNA expressionusing real-time RT-qPCR. Target section was based on data obtainedby the Microarray Research Group (MARG) and other published datafrom next gen sequencing. These 9 miRNAs represent three groups<strong>of</strong> miRNA that are expressed at low, medium or high levels in the FirstChoice human brain reference RNA sample. Two popular RT primingstrategies tested in this study include the Megaplex miRNA TaqManassay (ABI) and the RT2 miRNA qPCR assay (Qiagen/SA Biosciences).The basis for the ABI assay design is a target-specific stem-loopstructure and reverse-transcription primer, while the Qiagen designcombines poly(A) tailing and a universal reverse transcription in onecDNA synthesis reaction. For this study, the human brain referenceRNA was subject to controlled degradation using RNase A to RIN (RNAIntegrity Number) values <strong>of</strong> 7 (good), 4 (moderately degraded), and2 (severely degraded).These templates were then used to assess bothRT methods. In addition to this real-time RT-qPCR data, the same RNAtemplates were further analyzed using universal poly(A) tailing andhybridization to Affymetrix miRNA GeneChips. This talk will provideinsights into RT priming strategies for miRNA and contrast the qPCRresults obtained using different technologies.(R5b) Microarray Research Group Projects, 2010-11D. Baldwin 1 , N.G. Reyero-Vinas 2 , N. Jafari 31Penn Molecular Pr<strong>of</strong>iling Facility, University <strong>of</strong> Pennsylvania,Philadelphia, PA, United States; 2 Jackson State University,Jackson, MS, United States; 3 Northwestern University,Evanston, IL, United StatesMembers <strong>of</strong> the MARG will discuss our research projects: Comparison<strong>of</strong> microarray and deep sequencing platforms for microRNA pr<strong>of</strong>iling,Performance <strong>of</strong> a synthetic human microRNA reference panel,Participation in the SEQC Sequencing Quality Control consortium, andRNA-Seq pr<strong>of</strong>iling <strong>of</strong> environmental samples exposed to the Gulf oilspill.(R6) Joint Session: Protein Expression ResearchGroup (PERG) & Molecular InteractionsResearch Group (MIRG)(R6a) PERG Research Group Presentation: RefoldingStudyC. KinslandCornell University, Ithaca, NY, United StatesCurrently, the overwhelming majority <strong>of</strong> protein purification projectsstart with a recombinant protein expressed in a suitable host. For arange <strong>of</strong> reasons, E. coli is the predominant expression host yet a largepercentage <strong>of</strong> proteins expressed therein are found in an insolubleform called inclusion bodies. Inclusion bodies have the advantage <strong>of</strong>consisting <strong>of</strong> relatively homogeneous protein, which can simplify thepurification process. However, this leaves the challenge <strong>of</strong> solubilizingand refolding the protein into its native and biologically active structure.The conditions for efficient refolding are particular for each protein andthere are a wide range <strong>of</strong> methods to choose from. For this and otherreasons, many researchers are hesitant to pursue a refolding strategyto obtain a target protein. An overview <strong>of</strong> refolding methods andstrategies will be presented along with a description <strong>of</strong> the upcomingProtein Expression Research Group (PERG) refolding study.Research GroupPresentation Abstracts<strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine • 57
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This workshop will present ways to
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MARCH 16-20, 2012 • DISNEY’S CO