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Conference Program - ABRF 2011 - Association of Biomolecular ...

Conference Program - ABRF 2011 - Association of Biomolecular ...

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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

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