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Mass Spectrometry Data Analysis in Proteomics PDF

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Methods in Molecular Biology 2051 Rune Matthiesen Editor Mass Spectrometry Data Analysis in Proteomics Third Edition M M B ETHODS IN OLECULAR IO LO GY SeriesEditor JohnM.Walker School of Lifeand MedicalSciences University ofHertfordshire Hatfield, Hertfordshire, UK Forfurther volumes: http://www.springer.com/series/7651 For over 35 years, biological scientists have come to rely on the research protocols and methodologiesinthecriticallyacclaimedMethodsinMolecularBiologyseries.Theserieswas thefirsttointroducethestep-by-stepprotocolsapproachthathasbecomethestandardinall biomedicalprotocolpublishing.Eachprotocolisprovidedinreadily-reproduciblestep-by- step fashion, opening with an introductory overview, a list of the materials and reagents neededtocompletetheexperiment,andfollowedbyadetailedprocedurethatissupported with a helpful notes section offering tips and tricks of the trade as well as troubleshooting advice. These hallmark features were introduced by series editor Dr. John Walker and constitutethekeyingredientineachandeveryvolumeoftheMethodsinMolecularBiology series. Tested and trusted, comprehensive and reliable, all protocols from the series are indexedinPubMed. Mass Spectrometry Data Analysis in Proteomics Third Edition Edited by Rune Matthiesen ComputationalandExperimentalBiologyGroup,CEDOC,ChronicDiseasesResearchCentre,NOVAMedical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisboa, Portugal Editor RuneMatthiesen ComputationalandExperimental BiologyGroup,CEDOC,Chronic DiseasesResearchCentre,NOVA MedicalSchool,FaculdadedeCieˆncias Me´dicas UniversidadeNOVAdeLisboa Lisboa,Portugal ISSN1064-3745 ISSN1940-6029 (electronic) MethodsinMolecularBiology ISBN978-1-4939-9743-5 ISBN978-1-4939-9744-2 (eBook) https://doi.org/10.1007/978-1-4939-9744-2 ©SpringerScience+BusinessMedia,LLC,partofSpringerNature2020 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartofthematerialis concerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation,broadcasting,reproduction onmicrofilmsorinanyotherphysicalway,andtransmissionorinformationstorageandretrieval,electronicadaptation, computersoftware,orbysimilarordissimilarmethodologynowknownorhereafterdeveloped. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublicationdoesnotimply, evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevantprotectivelawsandregulations andthereforefreeforgeneraluse. Thepublisher,theauthors,andtheeditorsaresafetoassumethattheadviceandinformationinthisbookarebelievedto betrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditorsgiveawarranty, expressorimplied,withrespecttothematerialcontainedhereinorforanyerrorsoromissionsthatmayhavebeenmade. Thepublisherremainsneutralwithregardtojurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisHumanaimprintispublishedbytheregisteredcompanySpringerScience+BusinessMedia,LLC,partofSpringer Nature. Theregisteredcompanyaddressis:233SpringStreet,NewYork,NY10013,U.S.A. Preface The third edition of Mass Spectrometry Data Analysis in Proteomics starts as the previous editions with a basic introduction to mass spectrometry-based proteomics. The following chaptersarewrittenbyexpertsinspecificsubdomainsofproteomics.Theaimistoprovide detailedinformationoneachtopictoallownewcomerstofollowthecontentbutatthesame time present novel ideas and views that can influence future developments in mass spec- trometry-basedproteomics.Theauthorshavebeenofferedtoprovidecompletecoverageof theirdomainswithnopagerestriction.Thefirsteditionofthebookwaspublishedin2007, and we have witnessed a strong improvement in sensitivity and reproducibility of mass spectrometry-based proteomics. Furthermore, quality of computational methods has also improved. Consequently, all chapters have been updated to provide the newest and most relevantinformationoneachtopic.Incontrasttothepreviouseditions,thiseditionaimsto alsoprovideinstructionsonhowtoperformthemostrelevantcomputationalmethodssuch asdatabase-dependentsearches,althoughthefocusisstilloncomputationalconcepts. Therearenowseveralexamplesdemonstratingthatclinicalproteomicsisreproducible, and we and many others believe that mass spectrometry will play a major role in clinical research in the coming years. Criticism of mass spectrometry often revolves around lack of throughput and it will never compete with genomics because of the lack of a method to amplify the analyte. However, clinical proteomics provides complementary information to genomics which we refer to as proteogenomics, and several methods exist to amplify the signal of protein-based targets. The analogy that the genome is like a cookbook for the organismsisjustifiable.Furthermore,thesamplepreparationstepsareoftenmorestraight- forward for mass spectrometry, and new workflows allow analysis of more than 300 blood samples per day using a single instrument. However, to cook a delicious cake more is needed: a good chef, functional working tools, and fresh ingredients. To answer questions aboutthequalityofthecake,itisoftenmoreinformativetotasteitrather thanreadingthe recipe. In fact, many diseases have a major environmental component that potentially is better reflectedintheproteomethanthegenome. Lisboa,Portugal RuneMatthiesen v Contents Preface ..................................................................... v Contributors................................................................. ix 1 IntroductiontoMassSpectrometry-BasedProteomics....................... 1 RuneMatthiesenandJakobBunkenborg 2 LC-MSSpectraProcessing............................................... 59 RuneMatthiesen 3 IsotopicDistributions ................................................... 79 AlanL.RockwoodandMagnusPalmblad 4 RetentionTimePredictionandProteinIdentification ....................... 115 AlexHennemanandMagnusPalmblad 5 ComparingPeptideSpectraMatchesAcrossSearchEngines.................. 133 RuneMatthiesen,GorkaPrieto,andHansChristianBeck 6 CalculationofFalseDiscoveryRateforPeptide andProteinIdentification................................................ 145 GorkaPrietoandJesu´sVa´zquez 7 MethodsandAlgorithmsforQuantitativeProteomics byMassSpectrometry ................................................... 161 RuneMatthiesenandAnaSofiaCarvalho 8 InterpretationofTandemMassSpectraofPosttranslationally ModifiedPeptides....................................................... 199 JakobBunkenborgandRuneMatthiesen 9 SolutiontoDarkMatterIdentifiedbyMass-Tolerant DatabaseSearch ........................................................ 231 RuneMatthiesen 10 PhosphoproteomicsProfilingtoIdentifyAlteredSignalingPathways andKinase-TargetedCancerTherapies .................................... 241 BarnaliDeb,IreneA.George,JyotiSharma,andPrashantKumar 11 MassSpectrometry-BasedCharacterizationofUb- andUbL-ModifiedProteins.............................................. 265 Nagore Elu,BenoitLectez,JuanmaRamirez,NereaOsinalde, andUgoMayor 12 TargetedProteomicsasaToolforQuantifying Urine-BasedBiomarkers................................................. 277 SonaliV.Mohan,D.S.Nayakanti,GajananSathe, IreneA.George,HarshaGowda,andPrashantKumar 13 DataImputationinMergedIsobaricLabeling-BasedRelative QuantificationDatasets.................................................. 297 NicolaiBjødstrupPalstrøm,RuneMatthiesen, andHansChristianBeck vii viii Contents 14 ClusteringClinicalDatainR............................................. 309 AnaPina,MariaPaulaMacedo,andRobertoHenriques 15 ReviewofIssuesandSolutionstoDataAnalysisReproducibility andDataQualityinClinicalProteomics................................... 345 MathiasWalzerandJuanAntonioVizcaı´no 16 ReviewofBatchEffectsPrevention,Diagnostics,andCorrection Approaches ............................................................ 373 JelenaCˇuklina,PatrickG.A.Pedrioli,andRuediAebersold 17 UsingtheObject-OrientedPowerShellforSimpleProteomics DataAnalysis........................................................... 389 YasseneMohammedandMagnusPalmblad 18 ConsiderationsintheAnalysisofHydrogenExchangeMass SpectrometryData...................................................... 407 MichaelJ.Eggertson,KeithFadgen,JohnR.Engen, andThomasE.Wales Index ...................................................................... 437 Contributors RUEDIAEBERSOLD (cid:1) DepartmentofBiology,InstituteofMolecularSystemsBiology,ETH Zu¨rich,Zu¨rich,Switzerland;FacultyofScience,UniversityofZu¨rich,Zu¨rich,Switzerland HANSCHRISTIANBECK (cid:1) DepartmentofClinicalBiochemistryandPharmacology,Odense UniversityHospital,OdenseC,Denmark JAKOB BUNKENBORG (cid:1) Alphalyse,OdenseM,Denmark ANASOFIACARVALHO (cid:1) ComputationalandExperimentalBiologyGroup,CEDOC,Chronic DiseasesResearchCentre,NOVAMedicalSchool,FaculdadedeCieˆnciasMe´dicas, UniversidadeNOVAdeLisboa,Lisboa,Portugal JELENACˇUKLINA (cid:1) DepartmentofBiology,InstituteofMolecularSystemsBiology,ETH Zu¨rich,Zu¨rich,Switzerland;Ph.D.PrograminSystemsBiology,UniversityofZurichand ETHZurich,Zu¨rich,Switzerland BARNALIDEB (cid:1) InstituteofBioinformatics,InternationalTechnologyPark,Bangalore,India; ManipalAcademyofHigherEducation(MAHE),Manipal,Karnataka,India MICHAELJ.EGGERTSON (cid:1) WatersCorporation,Milford,MA,USA NAGORE ELU (cid:1) DepartmentofBiochemistryandMolecularBiology,FacultyofScienceand Technology,UniversityoftheBasqueCountry(UPV/EHU),Leioa,Spain JOHNR.ENGEN (cid:1) DepartmentofChemistryandChemicalBiology,NortheasternUniversity, Boston,MA,USA KEITHFADGEN (cid:1) WatersCorporation,Milford,MA,USA IRENE A.GEORGE (cid:1) InstituteofBioinformatics, InternationalTechnologyPark,Bangalore, India HARSHAGOWDA (cid:1) DepartmentofGeneticsandComputationalBiology,QIMRBerghofer MedicalResearchInstitute,Brisbane,QLD,Australia;InstituteofBioinformatics, Bangalore,India;ManipalAcademyofHigherEducation,Manipal,India ALEXHENNEMAN (cid:1) Center forProteomicsandMetabolomics,LeidenUniversityMedical Center,Leiden,TheNetherlands ROBERTOHENRIQUES (cid:1) NOVAInformationManagementSchool(NOVAIMS), UniversidadeNOVAdeLisboa,Lisboa,Portugal PRASHANT KUMAR (cid:1) InstituteofBioinformatics,InternationalTechnologyPark,Bangalore, India;ManipalAcademyofHigherEducation(MAHE),Manipal,Karnataka,India BENOITLECTEZ (cid:1) DepartmentofBiochemistryandMolecularBiology,FacultyofScienceand Technology,UniversityoftheBasqueCountry(UPV/EHU),Leioa,Spain MARIAPAULAMACEDO (cid:1) CentrodeEstudosdeDoenc¸asCr(cid:1)onicas(CEDOC),NOVAMedical School-FaculdadedeCieˆnciasMe´dicas,UniversidadeNOVAdeLisboa,Lisboa,Portugal; DepartmentofMedicalSciences,InstituteofBiomedicine,UniversityofAveiro,Aveiro, Portugal;APDP-DiabetesPortugalEducationandResearchCenter(APDP-ERC), Lisboa,Portugal RUNEMATTHIESEN (cid:1) ComputationalandExperimentalBiologyGroup,CEDOC,Chronic DiseasesResearchCentre,NOVAMedicalSchool,FaculdadedeCieˆnciasMe´dicas, UniversidadeNOVAdeLisboa,Lisboa,Portugal UGOMAYOR (cid:1) DepartmentofBiochemistryandMolecularBiology,FacultyofScienceand Technology,UniversityoftheBasqueCountry(UPV/EHU),Leioa,Spain;Ikerbasque, BasqueFoundationforScience,Bilbao,Bizkaia,Spain ix x Contributors YASSENEMOHAMMED (cid:1) Center forProteomicsandMetabolomics,LeidenUniversityMedical Center,Leiden,TheNetherlands;UniversityofVictoria–GenomeBritishColumbia ProteomicsCentre,Victoria,BC,Canada SONALIV.MOHAN (cid:1) DepartmentofGeneticsandComputationalBiology,QIMRBerghofer MedicalResearchInstitute,Brisbane,QLD,Australia;InstituteofBioinformatics, Bangalore,India;ManipalAcademyofHigherEducation,Manipal,India D.S.NAYAKANTI (cid:1) InstituteofBioinformatics, Bangalore,India;ManipalAcademyof HigherEducation,Manipal,India NEREAOSINALDE (cid:1) DepartmentofBiochemistryandMolecularBiology,FacultyofPharmacy, UniversityoftheBasqueCountry(UPV/EHU),Vitoria-Gasteiz,Spain MAGNUSPALMBLAD (cid:1) Center forProteomicsandMetabolomics,LeidenUniversityMedical Center,Leiden,TheNetherlands NICOLAI BJØDSTRUPPALSTRØM (cid:1) DepartmentofClinicalBiochemistryandPharmacology, OdenseUniversityHospital,OdenseC,Denmark PATRICKG.A.PEDRIOLI (cid:1) DepartmentofBiology,InstituteofMolecularSystemsBiology, ETHZu¨rich,Zu¨rich,Switzerland;ETHZu¨rich,PHRT-MS,Zu¨rich,Switzerland ANAPINA (cid:1) CentrodeEstudosdeDoenc¸asCr(cid:1)onicas(CEDOC),NOVAMedicalSchool- FaculdadedeCieˆnciasMe´dicas,UniversidadeNOVAdeLisboa,Lisboa,Portugal; ProRegeMPhDProgramme,NOVAMedicalSchool/FaculdadedeCieˆnciasMe´dicas, UniversidadeNOVAdeLisboa,Lisboa,Portugal;DepartmentofMedicalSciences, InstituteofBiomedicine,UniversityofAveiro,Aveiro,Portugal GORKAPRIETO (cid:1) DepartmentofCommunicationsEngineering,FacultyofEngineeringof Bilbao,UniversityoftheBasqueCountry(UPV/EHU),Bilbao,Spain JUANMARAMIREZ (cid:1) DepartmentofBiochemistryandMolecularBiology,FacultyofScience andTechnology,UniversityoftheBasqueCountry(UPV/EHU),Leioa,Spain ALANL.ROCKWOOD (cid:1) DepartmentofPathology,UniversityofUtah,SaltLakeCity,UT, USA GAJANANSATHE (cid:1) InstituteofBioinformatics,Bangalore,India;ManipalAcademyofHigher Education,Manipal,India JYOTISHARMA (cid:1) InstituteofBioinformatics,InternationalTechnologyPark,Bangalore, India;ManipalAcademyofHigherEducation(MAHE),Manipal,Karnataka,India JESU´SVA´ZQUEZ (cid:1) LaboratoryofCardiovascularProteomics,CentroNacionalde InvestigacionesCardiovasculares(CNIC)andCIBERdeEnfermedadesCardiovasculares (CIBERCV),Madrid,Spain JUANANTONIO VIZCAI´NO (cid:1) EuropeanMolecularBiologyLaboratory,European BioinformaticsInstitute(EMBL-EBI),Cambridge,UK THOMASE.WALES (cid:1) DepartmentofChemistryandChemicalBiology,Northeastern University,Boston,MA,USA MATHIASWALZER (cid:1) EuropeanMolecularBiologyLaboratory,EuropeanBioinformatics Institute(EMBL-EBI),Cambridge,UK

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