12.07.2015 Views

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

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

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

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Scientific SessionAbstracts(S7-2) Single Molecule Real-Time DNA Sequencingon the Surface <strong>of</strong> a Quantum-Dot NanocrystalP.B. Vander HornGenetic Systems, Life Technologies, Carlsbad, CA, UnitedStatesA single molecule, long read-length, real-time sequencingby-synthesistechnology has been developed by buildinga sequencer directly on the surface <strong>of</strong> a ~ 10 nm quantumdotnanocrystal. Fluorescence resonance energy-transfertechnology (FRET) is utilized for DNA sequence detection, inwhich signals from the quantum-dot labeled DNA polymeraseplus 4 DNA-base-specific acceptor dyes are simultaneouslydetected. Precisely engineered sequencing-grade Qdot TMnanocrystals are smaller than current commercially availablematerials (to increase FRET signals), and have an exctinctioncoefficient ~100X greater than organic-dyes, allowing for verylow levels <strong>of</strong> excitation power to be used while sequencing,Acting as the FRET donor, the Qdot TM -polymerase generates acorrelated “photon-dip” for every inserted based (termed the“quantum-correlation-signal”), allowing for more accurate basecalling.Because the sequencer is not physically bound to anysolid substrate, it can be exchanged (like a reagent) during midsequenceruns, effectively replacing damaged non-functioningpolymerases mid-reaction. Each exchange cycle lengthens theeffective read-length <strong>of</strong> the sequencer. In this manner, theread-length can be continuously extended without “gaps”.Expanding upon this flexibility, after sequencing a particularlength <strong>of</strong> DNA, the newly synthesized strand can be selectivelyremoved. The original genomic DNA strand is then re-primed,Qdot TM -polymerase sequencers are rebound, and the identicalgenomic DNA strand can be sequenced again, greatly increasingthe net accuracy and not requiring circularization <strong>of</strong> genomictemplates. In combining these features, the desired accuracyand read-length can be “tuned” by adjusting the number <strong>of</strong>reagent exchange cycles. Because each sequencing reaction canbe completed in minutes, multiple exchange experiments canbe performed per sequencing hour. These Qdot TM -polymerasesequencers can also bind to ultra-long DNA segments (>10kb)at multiple positions along the length <strong>of</strong> the DNA andsequence while moving “horizontally” (parallel to TIRF field),enabling the possibility <strong>of</strong> “ordered-reads” for long-phasedhaplotype sequencing. Examples <strong>of</strong> real-time sequencing <strong>of</strong>homopolymeric, patterned, and complex templates will beshown.(S9) Proteomics StandardizationD.B. FriedmanProteomics Laboratory Mass Spectrometry Research Center,Vanderbilt University, Nashville, TN, United StatesThe needs and issues related to establishing inter-laboratorystandardization in quantitative proteomics will be highlighted bypresentations from three international initiatives. By establishing theneed for standardization, each group will also highlight the tremendousamount <strong>of</strong> instrument and experimental variation that is also measuredwhen trying to determine real biological changes. The Spanish-basedProteoRed consortium addresses multiple proteomics platforms,ranging from MS-based to gel-based. The NIH CPTAC network isfocused on MS-based studies, and the UK-based FixingProteomicsinitiative covers mostly gel-based methods. Results from thesestudies will demonstrate complement and overlap in technology andapproaches used between these groups, all motivated by the universalgoal <strong>of</strong> standardizing these complex technologies across laboratories.(S9-1) A Multi-Laboratory Study AssessingRobustness and Reproducibility <strong>of</strong> PlasmaReference Sample for Benchmarking LC-MS PlatformPerformanceJ.P. Albar 5 , A. Campos 1,4 , E. Oliveira 1,4 ,S. Martínez-Bartolomé 3,4 , F. Canals 2,41Barcelona Science Park, Barcelona, Spain; 2 Vall d’HebronUniversity Hospital Research Institute, Barcelona, Spain;3Centro Nacional de Biotecnologia-CSIC, Madrid, Spain;4ProteoRed Consortium, Spanish National Institute <strong>of</strong>Proteomics, Madrid, Spain; 5 ProteoRed, National Center forBiotechnology-CSIC, Madrid, SpainAn increasingly common request for proteomics core facilities isdetermining qualitative and quantitative differences among clinicalsamples such as plasma, CSF, or urine. One <strong>of</strong> the missions <strong>of</strong> theSpanish Network <strong>of</strong> Proteomics Facilities (ProteoRed-ISCIII) is to assistits proteomics core facilities in evaluating their capabilities to performqualitative and quantitative proteomics analysis. This year, in an attemptto represent a realistic experiment scenario that might be requested toa proteomics core facility, we provided a moderately complex plasmastandard reference sample to be used for routine QC monitoring <strong>of</strong>laboratory instrumentation. The ProteoRed Plasma Reference (PPR)sample is a subset <strong>of</strong> highly abundant well-characterized human plasmaproteins with a number <strong>of</strong> is<strong>of</strong>orms, in addition to 4 spiked-in proteins,altogether distributed over 5 orders <strong>of</strong> magnitude in concentration.The PPR sample was recently stress tested in the latest ProteoRedMulticenter Experiment (PME6) that counted with the participation<strong>of</strong> 17 proteomics facilities using a wide range <strong>of</strong> LC-MS platforms. Werequested the sample be analyzed in a single LC-MS run in experimentaltriplicate (3 different digestions). Evaluation <strong>of</strong> the results submitted bythe study participants revealed moderate discrepancies at the peptideidentification level, and poor overlap at the protein identificationlevel. In an attempt to identify the source <strong>of</strong> such irreproducibility,raw data <strong>of</strong> 8 laboratories (24 LC-MS runs) were reanalyzed centrallyusing a standardized data analysis pipeline, which included proteininference using ProteinProphet s<strong>of</strong>tware. We found that the majority<strong>of</strong> protein identification discrepancies across submitted reports <strong>of</strong>these 8 laboratories were due to inconsistencies on how data analysisand computational tools group and/or infer proteins. Immunoglobulin42 • <strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!