grant

3D Human Reference Body: Multiscale Exploration and Visualization of Biomolecular Data in Virtual Reality

Organization TRUSTEES OF INDIANA UNIVERSITYLocation BLOOMINGTON, UNITED STATESPosted 10 Jun 2025Deadline 31 May 2027
NIHUS FederalResearch GrantFY20253-D3-D virtual reality3-D visualization3-Dimensional3-dimensional virtual reality3-dimensional visualization3D3D virtual reality3D visualizationAgeAnatomic SitesAnatomic structuresAnatomyAtlasesBMIBMI percentileBMI z-scoreBiologicalBody TissuesBody mass indexCell AgingCell BodyCell SenescenceCellsCellular AgingCellular SenescenceClinicalCodeCoding SystemCommunitiesComplexDataData CollectionData SetDedicationsDevelopmentDevelopment and ResearchDiseaseDisorderDocumentationEnsureEstheticsEthnic OriginEthnicityEventFAIR dataFAIR guiding principlesFAIR principlesFindable, Accessible, Interoperable and Re-usableFindable, Accessible, Interoperable, and ReusableFundingGenerationsGenesGenotypeGesturesGraphHandHealthHolistic HealthHuBMAPHumanHuman BioMolecular Atlas ProgramHuman FigureHuman bodyImageInvestigatorsLinkMapsMetadataMethodsModalityModern ManMolecularOntologyOrganPatientsPopulationPositionPositioning AttributeProductionProteinsProteomicsQuetelet indexR & DR&DRaceRacesReplicative SenescenceResearchResearch MethodologyResearch MethodsResearch PersonnelResearchersSeriesSiteStructureSystemTestingTextTissuesTrainingUpdateVisualizationWholistic HealthWorkWritingagesanalytical toolannotation systemannotation frameworkannotation toolbiologiccell typeclass materialcourse materialcurricular materialdata ecosystemdata infrastructuredata sharing ecosystemdata visualizationdemographicsdevelopmentalfederated datahandsimagingimmersive digital environmentimmersive environmentimmersive virtual environmentimmersive virtual realityinsightinstructional materialslearning materialsliteracymeetingmeetingsmeta datamulti-modal datamulti-modal datasetsmultimodal datamultimodal datasetsnovelopen dataopen scienceopen-source dataprogramsprototyperacialracial backgroundracial originreplicative agingresearch and developmentresearch and methodssenescencesenescentsexthree dimensionalthree-dimensional virtual realitythree-dimensional visualizationtooltraining opportunityusabilityvirtual realityvirtual reality environment
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Full Description

Project Summary/Abstract (30 lines of text)
We propose the research and development of a novel, 3D, immersive, virtual reality (VR) exploration tool using a

federated collection of datasets from three Common Fund Data Ecosystem (CFDE) efforts: Human BioMolecular Atlas

Program1,2 (HuBMAP), Cellular Senescence Network3 (SenNet), and Genotype-Tissue Expression4 (GTEx). The Aim of

this proposal is to Enable FAIR5 access to datasets from these three Common Fund programs via an immersive VR

interface with embedded 2D/3D visualizations. Using existing, Linked Open Data (LOD) infrastructure built for the

Human Reference Atlas (HRA)6–9, we will Federate cell summaries from datasets and extraction sites across three

Common Fund programs in the HRA6–9 (Sub-Aim 1), i.e., we will identify datasets that have been registered into HRA

3D Reference Objects (organs) via dedicated tools8, thus giving them a 3D extraction site; then, we will retrieve existing

cell summaries for these extraction sites and registered datasets given existing cell-by-gene matrices or proteomics

markers (462 datasets as of June 14, 2024). For the related Sub-Aim 2, we will Deploy CFDE datasets in the HRA

Organ Gallery in VR, an existing research prototype for a VR application that allows the immersive exploration of this

multiscale, multimodal data. Building on our prior research on Data Visualization Literacy, VR, and immersive

analytics10–12, we will add 2D and 3D visualization capabilities to the HRA Organ Gallery to visualize cell summaries at

the dataset, 3D extraction site, and anatomical structure (atlas) level. All cell summaries will be connected to 3D

registration sites inside one of 65 existing 3D reference organs (spatial), annotated with anatomical structure(s) that are

aligned to the UBERON13 ontology (biological structure), and associated with clinical (donor) metadata, such as age, sex,

race, etc. All work and code will be documented and made available to the community. Additionally, we will update

existing and create new training and instructions materials, not only in written form, but also as videos and inside the

HRA Organ Gallery in VR application. Further, we are planning extensive demonstrations of this work at CFDE meetings

and at various events organized for HuBMAP, SenNet, and GTEx researchers.

Grant Number: 1R03OD039970-01
NIH Institute/Center: NIH

Principal Investigator: Andreas Bueckle

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