Awardee OrganizationGENERAL ELECTRIC GLOBAL RESEARCH CTR
Description
Abstract Text
PROJECT SUMMARY/ABSTRACT (OVERALL)
Our vision for the Skin Tissue Mapping Center (TMC) is to create a first-of-its-kind, comprehensive, 2D and 3D
spatially-resolved multi-omic spatial atlas of normal skin comprising cell types, lipidomics, and
transcriptomics. Samples will be prospectively collected from four major body locations including head and
neck, back, abdomen and extremities across the continuum of skin colors (using the more objective Fitzpatrick
scale). Many of the original studies on skin cell types are now several decades old and conducted using
singleplex IHC or bulk genomic analysis. Although skin atlases exist, they are more focused on disease, and
tend to be lacking in diversity and variation of skin tones. Skin aging is a dynamic process in which there has
been little advancement in understanding how it varies as a function of skin tone and UV exposure. This novel
spatial reference map of skin cell types spanning skin tone and location will provide critical new insights into
healthy skin characteristics. Prospective sample collection provides the unique opportunity to custom build a
database with more extensive clinical information that may affect skin health. Although we will focus on
recruitment of an ethnically diverse population, patients will be standardized to the 6-point Fitzpatrick skin
color scale, which was originally developed to assess risk of UV damage from phototherapy. Using this scale
allows us to take a more objective approach to assessing differences in skin health and effects of UV and aging.
This program will be led by GE Research in collaboration with the University of Pittsburgh (Pitt)-Department
of Dermatology. Pitt-Department of Dermatology has access to a large patient and volunteer population with
diverse backgrounds, with about 20,000 skin specimens processed every year. We will leverage this population
to collect up to 96 well-curated samples from various anatomically-distinct skin locations (head and neck, back,
abdomen and extremities). Samples from donors across younger and elderly age groups and from persons of
diverse skin colors, as recorded by Fitzpatrick scale types I-VI, will be prospectively collected. GE Research will
be responsible for spatial single-cell analysis and integration of lipidomics and spatial transcriptomics into a
multi-modal 2D and 3D atlas of skin.
Public Health Relevance Statement
PROJECT NARRATIVE (OVERALL)
Our vision for the Skin Tissue Mapping Center (TMC) is to create a first-of-its-kind, comprehensive, 2D and 3D
spatially-resolved multi-omic spatial atlas of normal skin comprising cell types, lipidomics, and transcriptomics.
Prospective sample collection provides the unique opportunity to custom build a database with more extensive
clinical information that may affect skin health. This novel spatial reference map of skin cell types spanning skin
tone and location will provide critical new insights into healthy skin characteristics.
NIH Spending Category
No NIH Spending Category available.
Project Terms
3-DimensionalAbdomenAccountingAffectAffinityAfrican AmericanAgeAgingAnatomyArchitectureAtlasesAutomationBackBiological MarkersCellsCharacteristicsClinicalClinical Laboratory Improvement AmendmentsCollaborationsCommunitiesCustomDataData AnalysesData SetDatabasesDermatologyDermatopathologyDiagnosticDiseaseElderlyFeedbackFloridaFluorescenceFosteringFreezingFrozen SectionsGenerationsGenomicsHead and neck structureHealthHuman BioMolecular Atlas ProgramImageImmunofluorescence ImmunologicImmunohistochemistryLaboratoriesLeadLeadershipLimb structureLocationMapsMorphologyOutcomePathologyPatientsPersonsPhasePhototherapyPopulationPopulation HeterogeneityProcessProspective cohortPublicationsQuality ControlReagentRecording of previous eventsReportingResearchResolutionResourcesRiskSamplingSkinSkin AgingSkin TissueSpecimenSpecimen HandlingSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStandardizationThree-dimensional analysisTissue SampleTissue imagingTissuesUV Radiation ExposureUnited States National Institutes of HealthUniversitiesVariantVisionVisualizationage groupbasecaucasian Americancell typedata exchangedata integrationethnic diversityexperienceexperimental studyhuman old age (65+)insightlipidomicsmembermultimodal datamultimodalitymultiple omicsmultiplexed imagingnano-stringnovelnovel strategiesprogramsprospectivequality assurancerecruitrepositorysample collectionscreeningsingle cell analysisskin colorspatial relationshiptechnology developmenttissue mappingtooltranscriptomicsultraviolet damagevolunteerworking group
National Institute of Arthritis and Musculoskeletal and Skin Diseases
CFDA Code
310
DUNS Number
086188401
UEI
M2FYKG7HP723
Project Start Date
22-September-2022
Project End Date
31-August-2024
Budget Start Date
22-September-2022
Budget End Date
31-August-2023
Project Funding Information for 2022
Total Funding
$499,881
Direct Costs
$395,129
Indirect Costs
$104,752
Year
Funding IC
FY Total Cost by IC
2022
NIH Office of the Director
$499,881
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 1U54AR081775-01
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
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Patents
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
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Clinical Studies
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News and More
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History
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