课题基金 / 基金详情

Kidney single cell and spatial molecular atlas project - KIDSSMAP

Kidney single cell and spatial molecular atlas project - KIDSSMAP
肾脏单细胞和空间分子图谱项目 - KIDSSMAP
批准号:
10867927
负责人:
Sanjay Jain
金额:
$12.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-15 至 2024-06-30
关键词:
3-DimensionalAPRIN geneATAC-seqAddressAdultAffectAgeAgingAgreementAnatomyAntibodiesAntigensAreaAtlasesAwardBiologicalBiological AssayBiologyBiopsyBloodBudgetsCalibrationCell CommunicationCell NucleusCellsCellular StructuresChromatinClassificationCollaborationsCommunitiesComplexCreativenessDataData AnalysesData CollectionData SetDetectionDimensionsDiseaseDissectionDropsDuct (organ) structureEngineeringEnsureEpitheliumExperimental DesignsExtracellular DomainExtracellular Matrix ProteinsFeedbackFibroblastsFluorescenceFluorescence MicroscopyFundingFutureGene ExpressionGene Expression RegulationGenerationsGenetic TranscriptionGoalsGraphHappinessHealthHistologyHumanHuman BioMolecular Atlas ProgramImageImaging technologyImmuneImmunofluorescence ImmunologicIn SituIndividualIndustry StandardJointsKidneyLabelLasersLightLinkLipidsMachine LearningManualsMapsMetadataMethodsMicroscopyMinorModalityMolecularMolecular ProfilingMorphologyMultiomic DataNeighborhoodsNephronsNerveNormalcyOrganOutputPaperParticipantPathologistPathway interactionsPatient RecruitmentsPatientsPhasePopulationPopulation HeterogeneityPostbaccalaureatePrintingProbabilityProcessProductionProteinsProteomeProteomicsProtocols documentationPublished CommentPublishingRNARaceRaman Spectrum AnalysisReadabilityRegulationRenal functionResearch PersonnelResolutionResourcesRestRouteSample SizeSamplingSchemeSelection CriteriaSiteSliceSlideSmall Nuclear RNASpectrum AnalysisSpottingsStainsStandardizationStructureStudentsTechnologyTestingThree-Dimensional ImageTimeTissue BanksTissue imagingTissuesTrainingTranscriptUnited States National Institutes of HealthUpdateValidationVariantVisualization softwareWorkcell typeconfocal imagingcostcost effectivedata integrationdensityepigenomicsextracellulargenome-widehigh dimensionalityimprovedinnovationinsightinstrumentinterestinteroperabilitykidney biopsykidney celllipidomicsmachine learning algorithmmetabolomicsmoviemulti-photonmultimodalitymultiple omicsneurovascularnext generationnovelpreservationprotein biomarkersprotein metaboliteresponsesexsingle cell analysissingle nucleus RNA-sequencingspatial integrationspectroscopic imagingsummer programsynergismtimelinetooltool developmenttranscriptome sequencingtranscriptomicsuser-friendly

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英文摘要
$EVWUDFW 2YHUDOO The goal of the KIDney Single cell and Spatial Molecular Atlas Project (KIDSSMAP) is to create an anatomical and molecular “metaverse” of the human kidney. KIDSSMAP will accomplish this by generating multiscalar, multidimensional and multimodal maps of the adult non-diseased human kidney at a single cell resolution. This work will build on and extend the existing efforts of the investigative team through the first phase of HuBMAP. We will specifically focus on micro functional tissue units (FTUs) and structures that are along the cortico- medullary axis of the kidney. The technologies generating data include paired single nucleus chromatin accessibility and RNA expression (snRNA/ATAC-seq -cell type and state diversity), smFISH and DART-FISH (targeted high resolution spatial interrogation of 30-1000 transcripts), spatial transcriptomics (untargeted genome wide spatial mapping of dissociative technologies), CODEX (multiplexed spatial protein interrogation to bridge with RNA technologies and 3D IF technologies), 3D multiplexed immunofluorescence (3D IF- subcellular resolution to define neighborhoods in microFTUs), lightsheet fluorescence microscopy (LSFM- anatomical maps at mesoscale of key and 3D maps of neurovascular associations with FTUs) and Scattering Raman Spectroscopy (SRS-2D, 3D label free volumetric mapping at subcellular scale). The maps generated will define quantitative metrics of cell diversity, spatial defined neighborhoods across wide scales for different types of analytes interrogated by a diverse set of single call based and spatial technologies encompassing chromatin states, gene expression, protein, extracellular matrix, metabolites and lipids ranging from subcellular to volumetric meso and anatomic scale. These will be further augmented by characterizing biologically diverse (sex, age, race) samples. These tasks will be accomplished through a KIDney Organ Specific Project (KIDOSP) and a KIDney Data Analysis Center (KIDDAC), with their outputs, milestones and delivery to the HIVE centrally managed. KIDSSMAP is formed by the alliance of investigators who have extensive expertise in kidney tissue interrogation, spatial mapping and data integration. The investigators have a track record of contributing to large consortia such as HuBMAP and KPMP through fruitful and collaborative interactions. By mapping the human kidney with its diverse functional units at high resolution and large scale, KDSSMAP will generate a valuable resource for the community to understand kidney health and disease.
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A Computational IMage Analysis Platform (CIMAP) for HuBMAP
  • 批准号:
    10841858
  • 项目类别:
  • 资助金额:
    $130.0万
  • 财政年份:
    2023
  • 负责人:
    Sanjay Jain
  • 依托单位:
Kidney single cell and spatial molecular atlas project - KIDSSMAP
  • 批准号:
    10531101
  • 项目类别:
  • 资助金额:
    $161.21万
  • 财政年份:
    2022
  • 负责人:
    Sanjay Jain
  • 依托单位:
Kidney single cell and spatial molecular atlas project - KIDSSMAP
  • 批准号:
    10867926
  • 项目类别:
  • 资助金额:
    $12.5万
  • 财政年份:
    2022
  • 负责人:
    Sanjay Jain
  • 依托单位: