navigating the bonebase webportal - kompbonebase.org/bonebase/new/navigate_db.pdf · navigating the...

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Navigating the Bonebase Webportal Genetics is a major contributor to susceptibility or resistance to osteoporotic bone disease. Human GWAS and mouse KO screening programs estimate between 500 and 2000+ genes can influence adult bone mass. This reality poses a major bioinformatics challenge to our field to identify, organize and classify bone phenotyping information in a big data format in a way that is meaningful to the skeletal biologist and can be integrated with other genetic, proteomic and drug interaction databases. The presentation will describe our efforts to develop an experimental and bioinformatics platform that could be a functional beginning towards a big data solution for genes impacting skeletal variation. It is based on our experience of screening mice from the International Mouse Phenotyping Consortium (IMPC) in which individual genes have been inactivated within the same genetic background, and the resulting knock out lines (KOs) are characterized at multiple tissue levels. Our unselecting screen of KO mice is based on µCT of the distal femur and vertebra. The bones of the KO lines with a major variation in trabecular or cortical bone volume were further characterize by a histomorphometric analysis. How these methods were employed, what has been learned to date and how the skeletal biology community can participate in this effort will be discussed. Experimental Design: Cost vs. Depth of Analysis; Consistency in microbiome and mouse manipulation. •Homozygous KO – We expanded breeding pairs of viable KO lines from the Jackson Laboratory IMPC production facility (in the US, it is called the Knock Out Phenotyping Project, KOMP). We elected not to study heterozygotes of embryonic lethal or poor breeding lines because of the extra expense of breeding and genotyping. •Controls – Each month a set of C57BL6/NJ mice were generated for analysis by the same workflow as the KO lines. •Controlled breeding and harvesting - The off springs of each lines were grown to 12 weeks of age. They were injected with calcein 7 days and alizarine complexone 2 days prior to sacrifice. All the breeding, cage management and tissue harvesting was performed in the same room at the Jackson Laboratory. Tissue samples were shipped to UCONN for analysis. Tissue analysis: Controlled work flow, observer-independent data accumulation. •Sample collection and distribution: Each KO or control line was collected over the course of 1-4 months of breeding and growing depending on the fecundity of the line. The collection was considered complete after 8 males and 8 females were obtained. A laboratory information management system (LIMS) controlled the flow by generating bar codes for each sample and each hands-on step in the process. •Screening by µCT – The distal femur and 2 nd lumbar vertebra were scanned at 16µ resolution in using a carousel containing multi-sample holders. Custom software determined the ROI of each tissue from which the architectural features were determined. The calculated output was uploaded into the LIMS, the data was inspected by the team and the initial interpretation was released for distribution on the webportal. •Bone histomorphology – KO lines with a significant variation by µCT were processed using a tape-transfer cryohistological protocol optimized for non-decalcified tissues. Either 4 distal femur or 4 lumbar vertebra (#4-6) were embedded together in a parallel orientation so that the tape captured 4 samples collected from 3 depths separated by ~50µ. A full analysis of a femur or vertebra is collected on 6 slides each containing 8 sections at 3 section depths from the male and female KO line. The sections are processed for 4 rounds of staining and automated imaging using the Zeiss Axioscan. (1) Accumulated mineral and mineralization lines. (2) Demineralization and TRAP staining using the Elf97 substrate. (3) Alkaline phosphatase staining using fast red substrate. (4) toluidine blue. All steps are aqueous to prevent tissue shrinkage. •Image analysis of histological images – The 10 grayscale image files that are produced by the Axioscan are overlayed, vertically aligned, background corrected and binarized. The region of interest is determined and each fluorescent signal is projected to the surface of the trabecular bone. The extent of each fluorescent signal, which represents a specific biological activity, is expressed as the percentage of trabecular surface. The primary measurements are: BV/TV, TbTh, MS/BS (% labeling surfaces), MAR (distance between mineralizing lines), AP/BS (% AP positive surfaces) and TRAP/BS (% TRAP positive surfaces. The analysis allows the AP and TRAP to be subdivided into signals that are overlying a mineralizing labeling surface (LS) on non labeling bone surface (NL). This is interpreted to distinguish active osteoblasts (AP/MBS) from bone lining cells (AP/NBS), and remodeling (TRAP/MBS) and resorbing (TRAP/nMBS) bone surface. It also identifies sites where AP, TRAP and MBS coincide, which is

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Page 1: Navigating the Bonebase Webportal - KOMPbonebase.org/bonebase/New/Navigate_DB.pdf · Navigating the Bonebase Webportal ... A laboratory information management system ... , the screen

NavigatingtheBonebaseWebportal

Geneticsisamajorcontributortosusceptibilityorresistancetoosteoporoticbonedisease.HumanGWASandmouseKOscreeningprogramsestimatebetween500and2000+genescaninfluenceadultbonemass.Thisrealityposesamajorbioinformaticschallengetoourfieldtoidentify,organizeandclassifybonephenotypinginformationinabigdataformatinawaythatismeaningfultotheskeletalbiologistandcanbeintegratedwithothergenetic,proteomicanddruginteractiondatabases.Thepresentationwilldescribeoureffortstodevelopanexperimentalandbioinformaticsplatformthatcouldbeafunctionalbeginningtowardsabigdatasolutionforgenesimpactingskeletalvariation.ItisbasedonourexperienceofscreeningmicefromtheInternationalMousePhenotypingConsortium(IMPC)inwhichindividualgeneshavebeeninactivatedwithinthesamegeneticbackground,andtheresultingknockoutlines(KOs)arecharacterizedatmultipletissuelevels.OurunselectingscreenofKOmiceisbasedonµCTofthedistalfemurandvertebra.ThebonesoftheKOlineswithamajorvariationintrabecularorcorticalbonevolumewerefurthercharacterizebyahistomorphometricanalysis.Howthesemethodswereemployed,whathasbeenlearnedtodateandhowtheskeletalbiologycommunitycanparticipateinthiseffortwillbediscussed.

ExperimentalDesign:Costvs.DepthofAnalysis;Consistencyinmicrobiomeandmousemanipulation. •HomozygousKO–WeexpandedbreedingpairsofviableKOlinesfromtheJacksonLaboratoryIMPCproductionfacility(intheUS,itiscalledtheKnockOutPhenotypingProject,KOMP).Weelectednottostudyheterozygotesofembryoniclethalorpoorbreedinglinesbecauseoftheextraexpenseofbreedingandgenotyping. •Controls–EachmonthasetofC57BL6/NJmiceweregeneratedforanalysisbythesameworkflowastheKOlines. •Controlledbreedingandharvesting-Theoffspringsofeachlinesweregrownto12weeksofage.Theywereinjectedwithcalcein7daysandalizarinecomplexone2dayspriortosacrifice.Allthebreeding,cagemanagementandtissueharvestingwasperformedinthesameroomattheJacksonLaboratory.TissuesampleswereshippedtoUCONNforanalysis.

Tissueanalysis:Controlledworkflow,observer-independentdataaccumulation.

•Samplecollectionanddistribution:EachKOorcontrollinewascollectedoverthecourseof1-4monthsofbreedingandgrowingdependingonthefecundityoftheline.Thecollectionwasconsideredcompleteafter8malesand8femaleswereobtained.Alaboratoryinformationmanagementsystem(LIMS)controlledtheflowbygeneratingbarcodesforeachsampleandeachhands-onstepintheprocess. •ScreeningbyµCT–Thedistalfemurand2ndlumbarvertebrawerescannedat16µresolutioninusingacarouselcontainingmulti-sampleholders.CustomsoftwaredeterminedtheROIofeachtissuefromwhichthearchitecturalfeaturesweredetermined.ThecalculatedoutputwasuploadedintotheLIMS,thedatawasinspectedbytheteamandtheinitialinterpretationwasreleasedfordistributiononthewebportal. •Bonehistomorphology–KOlineswithasignificantvariationbyµCTwereprocessedusingatape-transfercryohistologicalprotocoloptimizedfornon-decalcifiedtissues.Either4distalfemuror4lumbarvertebra(#4-6)wereembeddedtogetherinaparallelorientationsothatthetapecaptured4samplescollectedfrom3depthsseparatedby~50µ.Afullanalysisofafemurorvertebraiscollectedon6slideseachcontaining8sectionsat3sectiondepthsfromthemaleandfemaleKOline.Thesectionsareprocessedfor4roundsofstainingandautomatedimagingusingtheZeissAxioscan.(1)Accumulatedmineralandmineralizationlines.(2)DemineralizationandTRAPstainingusingtheElf97substrate.(3)Alkalinephosphatasestainingusingfastredsubstrate.(4)toluidineblue.Allstepsareaqueoustopreventtissueshrinkage. •Imageanalysisofhistologicalimages–The10grayscaleimagefilesthatareproducedbytheAxioscanareoverlayed,verticallyaligned,backgroundcorrectedandbinarized.Theregionofinterestisdeterminedandeachfluorescentsignalisprojectedtothesurfaceofthetrabecularbone.Theextentofeachfluorescentsignal,whichrepresentsaspecificbiologicalactivity,isexpressedasthepercentageoftrabecularsurface.Theprimarymeasurementsare:BV/TV,TbTh,MS/BS(%labelingsurfaces),MAR(distancebetweenmineralizinglines),AP/BS(%APpositivesurfaces)andTRAP/BS(%TRAPpositivesurfaces.TheanalysisallowstheAPandTRAPtobesubdividedintosignalsthatareoverlyingamineralizinglabelingsurface(LS)onnonlabelingbonesurface(NL).Thisisinterpretedtodistinguishactiveosteoblasts(AP/MBS)fromboneliningcells(AP/NBS),andremodeling(TRAP/MBS)andresorbing(TRAP/nMBS)bonesurface.ItalsoidentifiessiteswhereAP,TRAPandMBScoincide,whichis

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interpretedasaboneremodelingunit.TheresultingcalculatedvaluesareuploadedintotheLIMS.

DataPresentation:Navigatingthewebportal,www.bonebase.org. Thewebsitehastwocomponents,staticanddynamic.OntheleftpanelarelinkstostaticpresentationsofthedetailsoftheµCTandhistologicalmethods,definitionsusedandhowtonavigatethedynamicdatabase(Fig1).MostimportantistheexplanationonhowcallsaremadethataKOhasameaningfulvariationinbonearchitectureorcellularcomposition.ItisfromthisinformationthatthedynamicdatabaseorganizesthedifferentphenotypesoftheKOmouselines.

,

•Useofcontroldata–Themonthlysetofcontrolmice(37sets)providedtoopportunitytoobservetheconsistencyofµCTandhistologicalmeasuresovertime.ForµCT,itclearlydemonstratedthegreatervarianceinmalevsfemaleanimalsaswellasthemonth-to-monthchangesthatcannotbeexplainedbyseasonalconditions.Forhistomorphometry,thecontrolswereveryusefulforidentifyingerrorsinthehistologyandimageanalysisthatoncecorrectedsignificantlyimprovethevarianceofthemeasurements.AnumberofcontrolstepswereintroducedtoensurethattheenzymaticstainsforAPandTRAPremainedconstantacrosscontrolandKOlines.

•MakingabnormalcallsofKOlines–BasedonthesignificancetestusingtheIMPC-developedstatisticalpackage(Phenstat),theLIMSidentifiesmeasurementsthatareregardedasmeaningfultothebonebiologist.Forexample,aBV/TVoftrabecularboneofdistalfemurofatesttocontrolratio>1.35or<0.75isconsideredtobesignificant.ThesecriteriaplacethecalledKOlinebeyondthebodyofthedistributioncurveofthecontrolsandthemajorityoftheKOlines(fig2A).

•Searchpage–UponenteringthehyperlinkedKOMPExperimentalData(Figure1yellowarrow),thescreenpresentstherangeofskeletalandbodysizevariationofthe220linesthatwereanalyzed.Theselectionboxesthatarescoredaslow,normalorhighbasedontheµCTvaluesforBV/TVofthedistalfemurorvertebra,thetotalvolumeofthetrabecularspaceofthedistalfemurorvertebra,thetotalvolumeforthefemoralcortexandthebodyweight.KOsthatfitanyofthesemeasurementsaloneorincombinationwillbefound.Clickingthemaleorfemalelinkwillsortbasedonthetesttocontrolratiovalue.

•Detailpages–ClickingthegeneIdhyperlinkwillpresentasummarytablethatprovidesallofthecallmeasurementsforµCT,histomorphometryandbodycompositionas

reportedbytheIMPCwebportal.HyperlinktitlesovertheµCTandhistomorphometryleadtotablesthatprovidethemeangroupdataandindividualmousedata.Inadditionthetabsabovethetableprovidenewscreens:

(1)FrequencydistributiongraphoftheBV/TVmeasurementrelativetothecontrolandotherKOMPlines(figure2A);

(2)HorizontalslidergraphsoftheµCTandhistomorphometrytest/controldatainwhicharatioof1isplotedasunchanged(0.00)Onetabisforthefemurandtheotherforthevertebra(figure2B);

Figure2:A.FrequencydistributiongraphsofBV/TVthatarebinnedinto1%intervals.TheredarrowpointstoKO.B.Slidergraphsoftheratiooftestvscontrol-1oftheprimaryµCTmeasurementsoftrabecularbone.Valuestotherightof“0”arethefractionalincreaseordecreaseofthetestmeasurementversusthecontrol

(3a)LinkstoPubmed.ArticlesrelatedtotheKOrelatedgenethathavebeenselectedbyuscanbeviewed;(3b)Linkstosupportinginformation.ThispageprovideslinkstoothersitesincludingtheIMPCfindingsfor

theKOline,OMIN,GWAS,MGI,geneexpression(EMBLandVisigene)andtextassociations(iHOP);(4)Classificationandinterpretation(notcurrentlyactive).Thisisaworkinprogressinwhichthewebportal

staff,externalexpertsandregistereduserscanprovidetheirinterpretationofthephenotypeitsgenetic/molecular

Figure1:EntrancetoKOMPdatascreen.

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basis.Threelevelsofclassificationarebeingdevelopedthatbinthephenotypesbasedonthearchitectural,cellularandmolecularfindings,againreflectingtheinterpretationoftheseclassificationobjectives.

SelectingaKOline–ScreeningbyµCTandbodyweightplacesKOindifferentgroupings.Thesearchscreenprovidesentryintospecificlinesforgreaterdetail(figure3).TheµCTdata,presentedas

theratiooftestvscontrol,canbeselectedbasedonthe4primarymeasures(BV/TVandtotalvolumeoftheROIofthefemurandvertebra,thecorticalvolumeoffemurandbodyweight)byclickingtherangeofvalues.Byselectonevalue,allKOlinesthatmeetthesinglecriteraareshown,whileselectingmultiplevaluespulluponlytheKOsthat

Figure3:ScreenshotoftheseachpageforselectingKOmiceforfurtheranalysis.Thecheckboxesunderthe4selectionoptionswillcallupthoseKOlinesthatmeetasingleor“and”combinatorialselection.meetallofthecriteria.Figure4showsthetop10resultsofaloworhighBV/TVonlyrequest.ThissearchisplacesalltheexaminedKOsinthesamecontextofgeneticbackgroundandexperimentaltechniqueallowingtherelativemagnitudeofoneKOtotheentirepopulationofKOstobeappreciated.

Figure4:Selectedscreenshotofthe10mostaffectshitsforeitherlow(A)orhigh(B)trabecularbonemass.Thenumberaretheratioofthetest/controlvaluesforµCTdeterminedBV/TV.Notshownaretheassociatedvaluesfortotalbonevolume,corticalvolumeandbodyweight.ThearrowsidentifyKOsthathavebepreviouslypublished.Theyellowandpurpleboxeshighlightthevaluethatwassortedbythesearchalgorithms.

Whenadditionalselectioncriteriaareapplied,groupsofKOswithsimilarfeaturesofbonesize(TVandcorticalvolume)andbodysize(weight)emerge.Figure5showsthelistofmicewithalowBV/TVbutotherwisewithanormalbonesizeandbodyweight.MostoftheseKOswerenotdetectedbytheIMPCscreenthatisbasedonwholebodyDXA.NotethattheabnormalBV/TVcanbeinthefemurorvertebraorboth,andcanbeobservedinfemalesormalesorboth.Presumably,thesemutationsaffecttrabecularbonedirectlywithouthavingwidespreadmetabolicorbasichousekeepingeffects.Incontrast,othergroupingcanbegeneratedinwhichlowBV/TVisaccompaniedbyalowbonesizeandorlowbodyweightorboth(Figure6).Somemembersofthiscategoryprobablyrepresentmutationsthathavemultiplemetabolicorbasichousekeepingfunctions.Anotherpossibilityisthatsomerepresentgenesthatcouldbeclassifiedasfrailtyassociatedgenes.Thegoalofthisarchitecturalclassificationistoprovidesomecontextthatwillassisttheviewertofocusongenesthatfittheirresearchinterest.

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Figure5:ResultsofasearchofallKOlineswithalowBV/TVineitherthefemurorvertebraorbothandnothaveanabnormalmeasureofbonesizeorbodyweight.Tobeincludedinthelist,theBV/TVhastobelessthan0.75inthefemurand0.80inthevertebra.Notethatgenenumbers2,10,11,15and18aremalerestricted,while12,13,14and19arefemalerestricted.Alsothegenenumbers12,14,15arefemurrestrictedwhile17,19,20arevertebrarestricted.

Figure6:Classificationoflowtrabecularbonevolumeinassociationwithmeasuresofbonesizeandbodyweight.Asimilarclassificationcanbeconstructedbasedonhightrabecularbonevolume(HTBV).

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ExaminingaKOlineindetail:Interferonregulatoryfactor-8(IRF-8),atranscriptionfactorexpressedinimmunecells,isakeyregulatorymoleculeforosteoclastogenesis.IRF-8expressioninosteoclastprecursorsisdown-regulatedduringtheinitialphaseofosteoclastdifferentiation.PreviouslypublishedKOmicehaveaverylowtrabecularbonemassduetoactivatedosteoclastlineage.ItisthemostsevereLTBVKOthatwehaveencountered.Toexaminethedetailsofouranalysis,clickthegeneabbreviationonthesearchpageandthefrequencydistributiongraphsoftheBV/TVinthefemurandvertebrainbothsexesareshown(figure7).ThearrowpointstotheIrf8valuestoshowitspositionrelativetotherunningcontrolsandtheotherKOlines.

Figure7:CompositeimageofIrf8valuesshowfromthesearchpageandthefrequencydistributiongraphsthatplacethevaluesofIrf8relativetothemonthlycontrolsandthestudiedKOlines.ThearrowisaddedtoemphasizetheIrf8values.

Thetabsatthetopofthefrequencydistributiongraphwillpresentadditionalinformationontheline.ClickingthesummarytabbringsthesummarytableinwhichspecificmeasurementsinµCT,histomorphometryandbodycompositionarecallasbeingeitherlow,normalorhigh(figure8).Theheaderforeachtablesectionisahyperlinktotheprimarygroupandindividualmousedata.Inthecaseofhistomorphometry,athirdlevelofdetailisprovidedinwhichthehistologicalimagesandcalculatedmeasurementforthethreesectionsfromeachbonesamplecanbeviewed.

Themeasurementsthatsupportthesecallsaregraphicallypresentedinseparatetabsforthefemurand

vertebra(figure9,femurslidergraph).TheAgroupingisµCTandhistologicalmeasuredoftrabecularbonewhiletheBgroupingisthebonesizeincludingTVoffemurandcorticalvolumeoffemurandthebodysizeasassessedbyweightandfemurlength.ThegraphsshowthatbothµCTandhistologyagreethatthelowBV/TVisprimarilyalossin

Figure8:Summarytable.A.DatafromµCTanalysisincludingBV/TVandTVoffemurandvertebra,andthecorticalbonecrosssectionalmeasuresandfemurlength.B.Datafromhistomorph-ometryforbothbonesthatincludesthe8categoricalmeasureofformation,

resorptionandremodeling.C.bodycompositionobtainedbyDXAduringtheIMPCphenotyping.Theweightatsacrificetabisameasurementmadebyourgroup.Thedatasupportingtheseoutcomecallsarehyperlinked.

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trabecularnumber.Boneandbodysizeareinthenormalrange.PanelCpresentstheboneformingmeasuresfromthehistomorphology.Arelativelymodestincreaseinboneformationrate(BFR)primarilyduetoanincreaseinmineralizingsurfaceswasobtainedfromthedynamiclabelingstudy.Totalosteoblastsurfaceswasalsomoderatelyincreasedanditwasdistributedprimarilytoboneformingvsboneliningsurfaces.ThemostdramaticmeasurescomefromtheTRAPstudy(panelD).Totalosteoclastsurfacewasincreasedandagreaterproportionoftheactivitywaslocatedonboneforming(remodeling)ratherthaninactivesurfaces.HowevertheTRAPwasprimarilylocatedatsiteswheretheAPandmineralizationcoincidedwhichweregardasaremodelingunit.Thisisoneofthehighestvalueswehaveobservedtodate.Thesamefindingwasobservedinthevertebra.Theconclusionfromthehistomorphometrystudyisastateofhighboneturnoverthatislocalizedattheconfluenceofmatrix-formingosteoblasts.

Figure9.SlidergraphsofalltheµCTandhistomorphmetricmeasurementofthefemur(maleandfemale).Thehorizontalbarsreflectthefractionalincrease(rightside)ordecrease(leftside)ofthe0.00lineofeachmeasurement.Seetextfortheinterpretationofthedata. ThelinktabpresentstheresultsofsearchesofvariouswebsitesforinformationregardingthisKOline.The

Figure10:LinkpageshowingthevarioushyperlinkstoIMPC,Pubmed,OMIN,MGIandotherusefulsites.Seetext.

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linktothehomepageandabnormalfindingpage(redarrow)isausefulstartingpointandtotalbodybonemineralcontent(BMC)obtainedbyDXA(greenarrow)canbeinformative.Otherlinksincludetheweightcurves,leanandfatmasscompositionsobtainedbyDXA.Adirectlinktopubmed(bluearrow)andpublicationthataredirectlyrelatedtotheKOlinecanbeviewed.FinallylinkstoRNAexpressiondatabases(magentaarrow)ortoOMINorGWAS(yellowarrow)providesinformationonthehumanrelatedinformation.

FuturePlansfortheWebPortal

Goingforward,someofthenewfeaturesthatwillbeaddedtoourphenotypingworkflowwillinclude:•BreedtheIMPCmiceinhouse–Byobtainingbreedersfromanexternalsourceandestablishingthe

breeding/growinglinesatthesamelocationthatthesamplesareprocessed,aconsistencyinthemicrobiome,housingandharvestingismaintained.ThisallowsobtainingtheIMPCmicefromdifferentproductionfacilitiesusingonesetofcontrolmiceratherthanacontrolforeachperipheralbreedingsite.ThiswillincreasethenumberandtypeofKOlinesthatwecanevaluate.Inaddition,itprovidesamechanismforanexternalinvestigatortopurchaseanIMPCKOmouseofinterest,haveitdeliveredtotheUCONNbreedingfacilityandhavetheoffspringsanalyzedinoursameworkflow.TheadvantagefortheexternalPIistheavoidanceofthecostforcontrolsetofanimalsbecausetheyarebeingproduceandanalyzedaspartofourongoingstudies.Formoredetailsseethecoststructureforthisbreedingandanalysisoption.

•RapididentificationofaKOwithanexceptionalarchitecturalphenotype-WewanttoextendthebreedingofKOlineswithamajorbone/bodyvarianceforproductionofadditionalanimals,embryocryopreservationandpotentiallyfortransfertoanexternalinvestigator.

•DeeperinvestigationofKOlineswithevidencesuggestiveofafrailtyorfitnessphenotype-TheIMPCusesDXAtomeasureleanandfatbodymasscomposition.TissuewillbetakenfromKOlineswithanabnormalDXAvalueforeithervaluetoassessskeletalmuscleforfibersizeandnumberandboneforµCTassessmentofbonemarrowfat.

•Classification–Theconceptofaclassificationsystemforthearchitecturalandbodycompositionmeasurementswasintroducedinfigures4and5.TheKOlineswereidentifiedmanuallybutinthefuturecanbeproducedasadefinedgroup.Thecriteriaforthegroupingswillneedtobedefined,andsubsequentlymodifiedasmoreKOareencountered.Asimilarclassificationisenvisionedforthehistomorphologicalfindings.ThiswillallowidentificationofKOlineswithadefinedcellularbasisforthearchitecturalphenotype,astepthatwillrequiredevelopingcriteriafordefinedgroupings.Finally,themolecularpathwaysthatinterconnectwiththeKOlineneedtobedevelopedtounderstandwhytheKOexertsitsarchitecturalandcellularphenotype.ClassificationbasedonpathwayneedstobedevelopedtoidentifydifferentKOlinesthatmaptosimilarpathways.

•ExternalInput–Oureventualgoalistomakethissiteevolveintoacommunityresourceforgenesthatimpactthemineralizedskeleton.Weneedtoelicitinputfromexpertsindifferentcellandmolecularaspectsofskeletalbiologytohelpdevelopmeaningfulclassificationsystemsandtoprovidetheirinterpretationoftheassembledinformation.Wehaveinvitedalimitednumberofexpertstobeginthisprocess,butwillextendtheinvitationtootherswhowishtoparticipate.Aregistereduserlistwillbedevelopedwhowillbesegmentedonspecificareaofexpertise/interest,e.g.osteoclastorosteoblastbiology,coupling,frailty,fitness,aspecificmolecularpathway.WhenanewKOlineisidentifiedthatmayfitoneoftheseinterestareas,theinterestedindividualswillbeinvitedtoavideoconferencetoinspectthedataandtocontributetotheinterpretation.RegistereduserscanrequestaKOlinethatiscurrentlyactiveandshowspreliminaryµCTdataofanabnormalarchitectural/somaticphenotype.Iftheyreceivethemice,theywillberequestedtosharetheresultsoftheirstudyonthewebsite.

•Useoftheworkflowfornon-IMPCmice–Becausetheworkflowishighlyautomated,wecanperformacomprehensiveµCTandhistomorphometricanalysisatasignificantcostandtimeadvantagefromtraditionalmethods.HoweverunliketheIMPCmice,eachinvestigator-derivedlinewillrequireitsownsetofcontrols.Amechanismforproducingandshippingthebonesamplesthatintegratewithourworkflowhasbeendeveloped,oraninvestigatorcansendthebreederstooursitetohavetheentireprocessperformedinhouse.Histomorphometrycoresthatwishtoestablishthemethodsintheirinstitutionandusetheimageanalysisplatformarewelcomedtovisitandhaveahands-onlearningexperience.Theseoptionsarepresentedelsewhere.