Scientific SessionAbstractsstatistical principles. While previous examples <strong>of</strong> complete genomesequences from metagenomes stem from samples <strong>of</strong> very limitedcomplexity (>10 OTUs), this sequence was obtained from a complexmix <strong>of</strong> over 300 OTUs. The reason traditional genome assemblyapproaches fail are varying abundance levels and strain variation andwe show a simple approach to overcome those hurdles. This novelapproach will allow the assembly <strong>of</strong> genomes and via metabolic modelsderived from the genomic sequences, hopefully the cultivation <strong>of</strong> keyspecies from diverse environments/enrichment cultures.(S3-3) Dining in with Trillions <strong>of</strong> Fascinating Friends:Exploring Our Human Gut Microbiome in Healthand DiseaseJ.I. GordonCenter for Genome Sciences and Systems Biology,Washington University School <strong>of</strong> Medicine, St. Louis, MO,United StatesOur genetic landscape is a summation <strong>of</strong> the genes embedded inour human genome and in the genomes <strong>of</strong> our microbial symbionts(the microbiome). Similarly, our metabolic features (metabotypes)are an amalgamation <strong>of</strong> human and microbial traits. Therefore,understanding <strong>of</strong> the range <strong>of</strong> human genetic and metabolic diversitymeans that we must characterize our microbiomes, which containat least several hundred-fold more genes than our human genome,as well as the factors that influence the properties <strong>of</strong> our microbialcommunities (microbiota). The results should provide an additionalperspective about contemporary human biology as we assesshow our changing lifestyles, cultural norms, socioeconomic status,and biosphere are influencing our microbial ecology and healthstatus. I will discuss the results <strong>of</strong> our group’s ongoing metagenomicstudies <strong>of</strong> the interrelationships between diet and the structure anddynamic operations <strong>of</strong> the human gut microbiome. We believe thatunderstanding these interrelationships is important for advancing ourappreciation <strong>of</strong> the nutritional value <strong>of</strong> food ingredients, for creatingnew nutritional guidelines for humans at various stages <strong>of</strong> their lifespan,and for developing new ways to deliberately manipulate the properties<strong>of</strong> the gut microbiota to prevent or treat various diseases. We havedeveloped a translational medicine pipeline that involves metagenomicanalyses <strong>of</strong> the gut microbial communities <strong>of</strong> adult mono- and dizygotictwins living in the USA who are lean, or concordant or discordant forobesity, and twins aged 0-3 years living in developing countries whodevelop normally, or who become malnourished and are treated witha ready-to-use therapeutic food (RUTF). Intact fecal communities fromthese individuals, or ‘personal’ culture collections that capture themajority <strong>of</strong> bacterial diversity in their microbiota, are then transplantedinto germ-free mice, which are fed the diets <strong>of</strong> the human donors, orsystematically manipulated derivatives <strong>of</strong> these diets. The impact <strong>of</strong>diet and microbiota on these humanized mice, including the degreeto which the human donor’s physiologic/metabolic phenotypes can betransmitted to gnotobiotic animals via microbiota transplants, are thenstudied using a variety <strong>of</strong> methods.(S4) Epigenetics(S4-1) Next Generation Quantitative ProteomicTools for Analyzing Histone ModificationsB.A. GarciaPrinceton University, Princeton, NJ, United StatesHistones are small proteins that package DNA into chromosomes,and a large number <strong>of</strong> studies have showed that several singlepost-translational modification sites on the histones are associatedwith both gene activation and silencing. Nevertheless, what type<strong>of</strong> effect distinct combinations <strong>of</strong> simultaneously occuring histonemodifications (Histone Codes or patterns) have upon cellular eventsis poorly understood. The main reason for this lack <strong>of</strong> knowledge isthat robust high-throughput methods for quantitative characterizationor even qualitative identification <strong>of</strong> combinatorial Histone Codesby any standard biological, immunological or physical techniquedo not exist. We plan to specifically address this deficiency bydeveloping novel mass spectrometry based proteomic methods andaccompanying bioinformatics to quantitatively characterize molecularlevel descriptions <strong>of</strong> combinatorial Histone Codes, and apply thesemethods to study how these dynamic Histone Codes influence geneexpression under different biological conditions. Here we presentinitial proteomics data that describes: (i) high-throughput comparison<strong>of</strong> histone modifications from multiple cellular states (ii) developingmass spectrometry methods for quantitative tracking <strong>of</strong> combinatorialHistone Codes (iii) monitoring in vivo Histone Code dynamics, and(iv) investigating the role <strong>of</strong> Histone Code interpreting proteins inrecognizing distinct Histone Codes. Ultimately, we will work towardsthe goal <strong>of</strong> taking any defined part <strong>of</strong> the genome and accuratelyquantifying the Histone Codes, detecting all the non-histone proteinsthat reside on these distinct pieces <strong>of</strong> chromatin, and then mappingthis proteomic data back to specific genomic locations, therefore takinga proteomic snapshot <strong>of</strong> what that chromosome landscape looks likeduring any nuclear event. These studies in combination with biologicalexperiments will help provide a systems biology outlook on geneexpression that will lay down the basic scientific foundation to advanceseveral applications, such as stem cell reprogramming and cancerprogression.38 • <strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine
(S4-2) Chromatin Dynamics in Melanoma: A Role forMacroH2AA. Kapoor 1,2 , M. Goldberg 1,2 , L. Cumberland 1,2 *,K. Ratnakumar 1,2 *, M. Segura 4,6 , P. Emanuel 2,3 ,S. Menendez 4,6 , C. Vardabasso 1,2 , G. LeRoy 7 , C. Vidal 2,3 †,D. Polsky 4,5,6 , I. Osman 5,6 , B. Garcia 7 , E. Hernando 4,6 ,E. Bernstein 1,21Department <strong>of</strong> Oncological Sciences, Mount Sinai School<strong>of</strong> Medicine, New York, NY, United States; 2 Department<strong>of</strong> Dermatology, Mount Sinai School <strong>of</strong> Medicine, NewYork, NY, United States; 3 Department <strong>of</strong> Pathology, MountSinai School <strong>of</strong> Medicine, New York, NY, United States;4Department <strong>of</strong> Pathology, New York University LangoneMedical Center, New York, NY, United States; 5 Department<strong>of</strong> Dermatology, New York University Langone MedicalCenter, New York, NY, United States; 6 InterdisciplinaryMelanoma Cooperative Group, New York UniversityLangone Medical Center, New York, NY, United States;7Department <strong>of</strong> Molecular Biology, Princeton University,Schultz Laboratory, Princeton, NJ, United States; †PresentAddress: Department <strong>of</strong> Dermatology, Saint Louis UniversitySchool <strong>of</strong> Medicine, St. Louis, MO, United States; *Theseauthors contributed equally to this work.Cancer is a disease consisting <strong>of</strong> both genetic and epigenetic changes.Although increasing evidence demonstrates that tumour progressionentails chromatin-mediated changes such as DNA methylation, therole <strong>of</strong> histone variants in cancer initiation and progression currentlyremains unclear. Histone variants replace conventional histones withinthe nucleosome and confer unique biological functions to chromatin.Using well characterized, paired series <strong>of</strong> murine and human melanomacells lines, we probed the epigenetic pr<strong>of</strong>ile <strong>of</strong> melanoma. Analysis<strong>of</strong> histones from both series using multiplexed quantitative massspectrometryrevealed changes in several histone posttranslationalmodifications and histone variants. The loss <strong>of</strong> mH2A is<strong>of</strong>orms,histone variants generally associated with condensed chromatin andfine-tuning <strong>of</strong> developmental gene expression programs is positivelycorrelated with increasing malignant phenotype <strong>of</strong> melanoma cellsin culture and human tissue samples. Knockdown <strong>of</strong> mH2A is<strong>of</strong>ormsin melanoma cells <strong>of</strong> low malignancy results in significantly increasedproliferation and migration in vitro and growth and metastasis invivo. Restored expression <strong>of</strong> mH2A is<strong>of</strong>orms rescues these malignantphenotypes in vitro and in vivo. We demonstrate that the tumourpromotingfunction <strong>of</strong> mH2A loss is mediated, at least in part, throughdirect transcriptional upregulation <strong>of</strong> CDK8. Suppression <strong>of</strong> CDK8, acolorectal cancer oncogene inhibits proliferation <strong>of</strong> melanoma cells,and knockdown <strong>of</strong> CDK8 in cells depleted <strong>of</strong> mH2A suppresses theproliferative advantage induced by mH2A loss. Moreover, a significantinverse correlation between mH2A and CDK8 expression levels existsin melanoma patient samples. Taken together, our results demonstratethat mH2A is a critical component <strong>of</strong> chromatin that suppresses thedevelopment <strong>of</strong> malignant melanoma, a highly intractable cutaneousneoplasm.(S4-3) Using Protein Domain Microarrays to Read theHistone CodeM.T. BedfordMD Anderson Cancer Center, Department <strong>of</strong> MolecularCarcinogenesis, Smithville, TX, United StatesFor cells to survive, differentiate, and grow, information has to betransferred from the cell surface to the nucleus. This process is referredto as signal transduction. A hallmark <strong>of</strong> cancer is the deregulation <strong>of</strong>signal transduction pathways. Signaling events in eukaryotic cells involvethe assembly and disassembly <strong>of</strong> large protein-protein complexes.These diverse associations are mediated through interactions <strong>of</strong>a limited number <strong>of</strong> modular signaling units or protein-domains.Protein interactions involving domains are <strong>of</strong>ten regulated by posttranslationalmodification (PTM – like phosphorylation, methylationand acetylation) <strong>of</strong> the smaller protein motif within the ligand. Wehave developed a chip-size protein microarray that harbors a display<strong>of</strong> over 300 modular protein-interacting domains including SH2, SH3,PDZ, FHA, 14-3-3, WW, Chromo, Tudor, PHD and MBT domains. Inthe emerging proteomic era, it is becoming easier to identify proteinsusing tryptic digestion followed by mass spectrometric approaches.These same methods also detect sites <strong>of</strong> posttranslational modificationon proteins. Many <strong>of</strong> these posttranslational modifications likelygenerate docking sites for protein modules. We have developedprotein-domain microarray technology to help identify proteins thatcan interact with motifs that are either methylated or phosphorylated.This high-throughput approach facilitates the rapid identification<strong>of</strong> protein-protein interactions in vitro. Further in vivo studies areneeded to confirm that these interactions do indeed occur in biologicalsystems. Protein domains are cloned into a GST expression vector, andrecombinant protein is produced in bacteria. These fusion proteinsare then arrayed onto nitrocellulose coated glass slides using a robot.These slides are probed with biotinylated peptides that are preconjugatedto streptavidin-Cy3. The peptides used in this experimentare synthesized as 15 mers, and both the modified and unmodifiedforms <strong>of</strong> the peptides are tested on the array. In this manner, we canidentify novel methyl- and phospho-dependent interactions. We havebuilt three types <strong>of</strong> arrays: (1) A phospho-tyrosine reader harbors 70SH2 domains and 5 PTB domains (total = 75 domains). (2) A phosphothreonine/serinereader that harbors 7 14-3-3 domains, 5 FHAdomains, 15 BRCT domains and a WW domain (total = 28 domains).(3) An epigenetic reading array that harbors methyl and acetyl readers.This array is composed <strong>of</strong> 50 tudor domains, 22 bromo domains, 36PHD domains, 17 MBT domains, 11 WD40 domains, 9 SANT domains,28 chromo domains, 15 PWWP domains, 5 BRK domains, 5 CWdomains, and 9 Ank repeats (total = 207 domains). More and moreposttranslational modifications are being discovered on proteins. Theroles <strong>of</strong> many <strong>of</strong> these methylation and phosphorylation events <strong>of</strong>tenremain obscure. This approach provides an easy way for a researcherto identify potential binding partners for their favorite proteins.These arrays thus <strong>of</strong>fer researchers tools to get at “mechanism”. Onceinvestigators know that they are working with a clearly functional PTM,they can proceed with confidence to generate modification specificantibodies and interrogate the signaling pathway that is engaged bythe identified PTM-driven protein-protein interaction.Scientific SessionAbstracts<strong>ABRF</strong> <strong>2011</strong> — Technologies to Enable Personalized Medicine • 39
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Exhibit Hall FloorplanGrand Oaks Ba
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This workshop will present ways to
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MARCH 16-20, 2012 • DISNEY’S CO