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2211 NE 50 th St. Apt 5, Seattle, WA 98105 M: 2062148296, [email protected] Nathan Basisty August 7, 2015 SUMMARY Proteomicist and cell biologist with 5 years of experience conducting large scale experiments on highres MS instrumentation and developing bioinformatics workflows to address questions in mammalian health/disease. Proficient in Rprogramming for handling and interpreting large biological datasets. Established a new bioinformatics pipeline which increased efficiency of large proteomic studies by many fold. Wrote and developed a series of Rscripts for analysis of large datasets, including: optimization, filtering, normalization, curation, database matching, regressions, and visualizations. Experienced in creating and deploying R applications on the web using Shiny. Skilled in mass spectrometry (nLCMS/MS) with a strong record of performing labelfree and labeled shotgun (DDA) analysis of peptides using highresolution instrumentation Utilized metabolic labeling and MS to simultaneously quantify global protein abundances and turnover rates Developed an unprecedented method of characterizing polyubiquitinmediated homeostasis on a large scale by integrating both abundance and turnover data to this enriched subset of modified proteins Proficient with various analysis tools and software for large and small proteomic datasets (see skills). Experience operating the LTQFT Ultra and LTQOrbitrap Velos spectrometers with a nanoACQUITY UPLC chromatography system. Wet laboratory experience including protein preparation, activity assays, qPCR, westerns and mouse work. SKILLS R Programming Basic Shiny apps (nbasisty.shinyapps.io/qvalues) LCMS/MS Techniques Xcalibur Software Skyline Software Certified Topograph Software Protein prep: pulldowns, fractionation, precipitation MSDaPl (spectral counting) Sequest & Percolator (FDR) Western Blots, QPCR, Enzyme Activity Assays Ingenuity Pathway Analysis Mouse work EDUCATION Ph.D. Molecular Basis of Disease (expected) 2015 Department of Pathology, University of Washington, Seattle, WA B.S. Biochemistry 2009 University of Washington, Seattle, WA RESEARCH Graduate Research Associate (T32 AG000057 fellowship award) 20102015 Department of Pathology, University of Washington, Seattle, WA Principal Investigator: Peter Rabinovitch Utilized a combination of MS and metabolic labeling across several tissues in mice to estimate changes in abundances and turnover rates for thousands of proteins during aging and several aginginterventions, including calorie restriction, rapamycin, mitochondriatargeted catalase, and mitochondriatargeted SS peptides. Designed a novel proteomic method to perform the first ever largescale turnover estimations of polyubiquitinated proteins, and while simultaneously determining changes in abundance of these modified proteins. Pioneered the use of many bioinformatics and proteomic tools in the lab and implemented a workflow with great success – large scale studies are now routinely done 5+ times faster (from months/years to weeks). Leveraged this expertise toward many productive collaborations both within and outside the lab, including investigators in other universities.

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  • 2211NE50thSt.Apt5,Seattle,WA98105M:2062148296,[email protected]

    August7,2015

    SUMMARYProteomicistandcellbiologistwith5yearsofexperienceconductinglargescaleexperimentsonhighresMSinstrumentationanddevelopingbioinformaticsworkflowstoaddressquestionsinmammalianhealth/disease.ProficientinRprogrammingforhandlingandinterpretinglargebiologicaldatasets.

    Establishedanewbioinformaticspipelinewhichincreasedefficiencyoflargeproteomicstudiesbymanyfold. WroteanddevelopedaseriesofRscriptsforanalysisoflargedatasets,including:optimization,filtering,

    normalization,curation,databasematching,regressions,andvisualizations. ExperiencedincreatinganddeployingRapplicationsonthewebusingShiny.

    Skilledinmassspectrometry(nLCMS/MS)withastrongrecordofperforminglabelfreeandlabeledshotgun(DDA)analysisofpeptidesusinghighresolutioninstrumentation

    UtilizedmetaboliclabelingandMStosimultaneouslyquantifyglobalproteinabundancesandturnoverrates Developedanunprecedentedmethodofcharacterizingpolyubiquitinmediatedhomeostasisonalargescale

    byintegratingbothabundanceandturnoverdatatothisenrichedsubsetofmodifiedproteins Proficientwithvariousanalysistoolsandsoftwareforlargeandsmallproteomicdatasets(seeskills). ExperienceoperatingtheLTQFTUltraandLTQOrbitrapVelosspectrometerswithananoACQUITYUPLC

    chromatographysystem.Wetlaboratoryexperienceincludingproteinpreparation,activityassays,qPCR,westernsandmousework.

    SKILLS

    RProgramming BasicShinyapps

    (nbasisty.shinyapps.io/qvalues) LCMS/MSTechniques XcaliburSoftware

    SkylineSoftwareCertified TopographSoftware Proteinprep:pulldowns,

    fractionation,precipitation MSDaPl(spectralcounting)

    Sequest&Percolator(FDR) WesternBlots,QPCR,

    EnzymeActivityAssays IngenuityPathwayAnalysis Mousework

    EDUCATIONPh.D.MolecularBasisofDisease (expected)2015DepartmentofPathology,UniversityofWashington,Seattle,WAB.S.Biochemistry 2009UniversityofWashington,Seattle,WA

    RESEARCHGraduateResearchAssociate(T32AG000057fellowshipaward) 20102015DepartmentofPathology,UniversityofWashington,Seattle,WAPrincipalInvestigator:PeterRabinovitch

    UtilizedacombinationofMSandmetaboliclabelingacrossseveraltissuesinmicetoestimatechangesinabundancesandturnoverratesforthousandsofproteinsduringagingandseveralaginginterventions,includingcalorierestriction,rapamycin,mitochondriatargetedcatalase,andmitochondriatargetedSSpeptides.

    Designedanovelproteomicmethodtoperformthefirsteverlargescaleturnoverestimationsofpolyubiquitinatedproteins,andwhilesimultaneouslydeterminingchangesinabundanceofthesemodifiedproteins.

    Pioneeredtheuseofmanybioinformaticsandproteomictoolsinthelabandimplementedaworkflowwithgreatsuccesslargescalestudiesarenowroutinelydone5+timesfaster(frommonths/yearstoweeks).

    Leveragedthisexpertisetowardmanyproductivecollaborationsbothwithinandoutsidethelab,includinginvestigatorsinotheruniversities.

  • LabTechnician/UndergraduateResearch 20082010DepartmentofPharmacology,UniversityofWashington,Seattle,WAPrincipalInvestigator:JoeBeavo

    IndependentlyuncoveredactivityofphosphodiesterasevariantPDE8inmousebonemarrowderivedmacrophagesinmice,andperformedpreliminarycharacterizationofitsroleininflammation.

    AssistedincharacterizationofPDE4ininflammationanditspotentialasatherapeutictargetinmousemodelsofchronicinflammatorydiseases,includingCOPDanddiabetes.

    Benchwork:Doseresponsecurves,PDEactivityassays,westernblots,ELISAs,genotypingandqPCR. Mousework:specialdiets,druginjections,terminalbronchialalveolarlavages,terminalcardiacpunctures,

    tissueharvests,bonemarrowextraction,tissueculture,andassistinginglucose/insulintolerancetests.MENTORING

    YuxinLiu,SUNYUpstateMedicalUniversity 2014MedicalStudentTraininginAgingResearch(MSTAR)

    Project:ProteostasisintheAgingLiver:InvestigationsinProteinAggregates SelectedforPosterPresentationattheAmericanMedicalAssociationResearchSymosium Selectedfororalpresentationat2015AmericanGeratricSocietyMeeting

    JasonReynolds,IdahoStateUniversity 2011AmgenScholarsProgram Project:ProteinHomeostasisinAgingandLongevityAssociatedTreatmentsinMice

    SELECTEDPUBLICATIONS(**cofirstauthor)PublishedKarunadharmaPP**,BasistyN**,ChiaoYA**,DaiDF,DrakeR,LevyN,RabinovitchPS(2015).RespiratoryChain

    ProteinTurnoverRatesinMiceareHighlyHeterogeneousbutStrikinglyConservedAcrossTissues,Ages,andTreatments.TheFASEBJournal.

    KarunadharmaPP**,BasistyN**,DaiDF,ChiaoYA,QuarlesE,CrispinD,BielasJ,EricsonN,BeyerRP,MacKayV,MacCossMJ,RabinovitchPS.(2015).SubacuteCalorieRestrictionandRapamycinDiscordantlyAlterMouseLiverProteomeHomeostasisandReverseAgingEffects.AgingCell.

    DaiDF**,KarunadharmaPP**,ChiaoYA**,BasistyN**,CrispinD,HsiehEJ,ChenT,GuH,DjukovicD,RafteryD,BeyerRP,MacCossMJ,RabinovitchPS(2014).AlteredProteomeTurnoverandRemodelingbyShorttermCaloricRestrictionorRapamycinRejuvenatetheAgingHeart.AgingCell.13,529539.(winnerofAgingCellBestPaperPrize2014)

    InpreparationBasistyN,DaiDF,GagnidzeA,LevyN,LemuelG,FredricksonJ,BeyerRP,HsiehEJ,MacCoss

    MJ,RabinovitchPS.OverexpressionofMitochondrialTargetedCatalaseExhibitsReverseAntagonisticPleiotropyintheAgingProteome.AntioxidantandRedoxSignaling.

    BasistyN,KarunadharmaPP,ReynoldsJ,LiuY,FredricksonJ,MacCossMJ,RabinovitchPS.TheChangingLandscapeofPolyUbiquitinMediatedHomeostasisinAging,CalorieRestriction,andRapamycinTreatment.

    SELECTEDPRESENTATIONSOralPresentationsMitochondriaandMetabolismInterestGroupSeminar.UWSouthLakeUnion,Seattle,WA.June6th,2014.High

    HeterogeneityinTurnoverRatesofRespiratoryChainProteinsisConservedacrossTissuesandTreatmentsinMice.

    AmericanAgingAssociation43rdAnnualMeeting.SanAntonio,Texas.May31,2014.TheChangingLandscapeofPolyUbiquitinMediatedHomeostasisinAging,CalorieRestriction,andRapamycinTreatment.

    PosterPresentationsUSHUPO10thAnnualConference.Seattle,WA.April7th,2014.HighHeterogeneityinTurnoverRatesofRespiratory

  • NATHANBASISTY PAGE3ChainProteinsisConservedacrossTissuesandTreatmentsinMice

    GerontologySocietyofAmerica66thAnnualScientificMeeting.NewOrleans,Louisiana.Nov21,2013.MultiTissueAssessmentofMitochondrialRespiratoryChainTurnoverwithAge,CR,andRapamycinTreatment.

    GRANTS/FELLOWSHIPSGeneticApproachestoAgingTrainingGrantNIAT32AG00057 2012PresentGlenAFARScholarshipforResearchintheBiologyofAging2015Present

    HONORS/AWARDSAgingCellBestPaperPrize2014 2015GlenAFARScholarshipforResearchintheBiologyofAging2015HonorSocietyDeansListWhosWhoAmongStudentsinAmericanJuniorCollegesPhiThetaKappaHonorsScholarProgramVicePresidentialHonorRollRunningStartDeansList

    2013201520082009200520062005200620042006200420062004200620042005

    ADMINPathPresentsGraduateStudentSpeakerSelectionCommitteeAbstract/symposiumsubmissionreviewer,GerontologySocietyofAmerica

    201520142015

    AVOCATIONALModeratorforAskScience(http://www.reddit.com/r/AskScience)ModeratorforGerontology(http://www.reddit.com/r/Gerontology)SportsMedicineClubSecretaryStudentsforProgressiveChangememberInternationalServiceLearningProjectCulturalCafHost

    201420152008200920042006200520062005200620052006

    REFERENCESPeterS.Rabinovitch,MD.,PhD.UniversityofWashingtonDepartmentofPathologyBox3577051959NEPacificStreet,HSBK081Seattle,[email protected]

    GeorgeM.Martin,M.D.UniversityofWashingtonDepartmentofPathologyBox3574701959NEPacificStreet,HSBK543ASeattle,[email protected]

    MichaelMacCoss,PhDUniversityofWashingtonDepartmentofGenomeSciencesFoegeBuildingS113372015thAveNESeattle,[email protected]

    MattKaeberlein,PhDUniversityofWashingtonDepartmentofPathologyBox3574701959NEPacificStreet,HSBD514Seattle,[email protected]