grant

Quantitative dissection of size memory during zebrafish appendage regeneration

Organization DUKE UNIVERSITYLocation DURHAM, UNITED STATESPosted 1 Aug 2025Deadline 31 Jul 2027
NIHUS FederalResearch GrantFY2025Active OxygenAddressAffectAmputationAwardBiologic ModelsBiological ModelsBiologyBody TissuesBone MatrixBone RegenerationBrachydanio rerioCell BodyCell Communication and SignalingCell Growth in NumberCell MultiplicationCell ProliferationCell SignalingCell secretionCellsCellular ProliferationCellular SecretionCollaborationsComplexComputer AnalysisConnective TissueDNA Synthesis FactorDNA mutationDanio rerioDevelopmentDissectionDistalDysmorphologyEndothelial Cell Growth FactorEnsureEpidermisEpitheliumEventFGFFibroblast Growth FactorFibroblast Growth Factor Gene FamilyFibroblast Growth Regulatory FactorFibroblastsFracture HealingFutureGametesGeneralized GrowthGenerationsGenetic ChangeGenetic defectGenetic mutationGerm CellsGerm-Line CellsGrowthHumanHypertrophyImageIn Situ HybridizationInjuryIntracellular Communication and SignalingLeadLengthLigandsMammaliaMammalsMapsMath ModelsMemoryMesenchymalModel SystemModelingModern ManMolecularMolecular Dynamics SimulationMonitorMutationNatural regenerationNervous SystemNeurologic Body SystemNeurologic Organ SystemOsteoblastsOxygen RadicalsPathogenicityPatternPb elementPhasePopulationPositionPositioning AttributePostdocPostdoctoral FellowPro-OxidantsProcessProductionProliferatingPublishingReactive Oxygen SpeciesRegenerationReporterReproductive CellsResearchResearch AssociateResolutionSex CellShapesSignal PathwaySignal TransductionSignal Transduction SystemsSignalingSourceTestingTheoretic ModelsTheoretical modelTissue GrowthTissuesTrainingTransgenic OrganismsWorkZebra DanioZebra FishZebrafishappendagebiological signal transductionbonebone fracture healingbone fracture repaircell regenerationcell typecellular regenerationcomputational analysescomputational analysiscomputer analysescomputer based predictiondevelopmentaldigit regenerationexperiencefracture repairfunctional restorationgenome mutationheavy metal Pbheavy metal leadimagingimaging approachimaging based approachimprovedin situ Hybridization Geneticsin situ Hybridization Staining Methodin vivoinitial cellinjuredinjuriesinsightmathematic modelmathematical modelmathematical modelingmigrationmillimetermolecular dynamicsontogenyosteoblast proliferationoverexpressoverexpressionpost-docpost-doctoralpost-doctoral traineepredictive modelingprogramsregenerateregenerate boneregenerate new tissueregenerate tissueregenerating damaged tissueregenerating tissueregeneration based therapyregeneration therapyregenerativeregenerative therapeuticsregenerative therapyresearch associatesresolutionsrestore functionrestore functionalityrestore lost functionsexual cellskillstherapeutic targettissue regenerationtissue regrowthtissue renewaltissue specific regenerationtooltransgenicwound epidermis
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Full Description

ABSTRACT
The ability of mammals to regenerate injured appendages is limited to healing bone fractures and regenerating

digit tips. For any future therapies to be useful they must pattern regrowth so that it restores tissue size and

function and avoids hypertrophy and dysmorphology. In contrast to mammals, zebrafish regenerate entire

appendages following an injury, such as amputation. Notably, regenerated fins reproduce the original size,

shape, and function of the injured appendage. While previous work has identified molecules and cellular events

required for promoting zebrafish fin regeneration, we still do not fully understand how cells within a regenerating

appendage encode size memory or how cells dynamically monitor the progression of regenerative outgrowth

to ensure accurate tissue size. This is partly due to the difficulty of rigorously documenting cellular events, such

as signaling levels, in vivo in complex tissues at single-cell resolution. This proposal will overcome these

difficulties by combining quantitative live imaging approaches, computational analysis, and theoretical

modeling to map cell signaling activity with single cell resolution. Specifically, Aim 1 will dissect how the initial

conditions encoding size memory are established for fin rays of different lengths. Aim 2 will uncover how size

memory is processed in fibroblast tissue, which comprises connective tissue-secreting cells that lie inside and

between bony hemirays. Aim 2 will also test the hypothesis that size memory is differentially regulated in

fibroblasts and osteoblasts (bone-matrix secreting cells) by distinct upstream Fibroblast Growth Factor (Fgf)

ligand expression. The research outlined here will form the intellectual basis of my own independent research

program. Together with my advisors, Dr. Stefano Di Talia and Dr. Ken Poss, I have developed a training plan

that will enable me to master skills in theoretical approaches and transgenic zebrafish generation as well as

gain hands-on lab management experience during the K99 award phase. Furthermore, I have established an

exceptional committee of advisors, including expert theorists and experimental biologists, who are committed

to helping me develop my independent research program. The research and training described here will

uniquely position me to apply this interdisciplinary, quantitative approach to additional signaling pathways, such

as Wnt, and other regenerating tissues, including the vasculature and the nervous system. Long-term, I will

lead my own research group in generating a wholistic understanding of how size memory is established and

dynamically processed during fin regeneration. I expect the insights gained from this research will inform the

development of regenerative therapies that promote tissue regrowth in humans without inducing pathogenic

overgrowth or dysmorphology.

Grant Number: 1K99HD119028-01
NIH Institute/Center: NIH

Principal Investigator: Ashley Baker

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