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Research Project 1: A Multidimensional Molecular Atlas of Healthy and Diseased Human Pediatric Kidney

Research Project 1: A Multidimensional Molecular Atlas of Healthy and Diseased Human Pediatric Kidney
研究项目 1:健康和患病人类儿童肾脏的多维分子图谱
批准号:
10707960
负责人:
Sanjay Jain
金额:
$26.23万
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:
未结题
起止时间:
2022-09-21 至 2027-08-31
关键词:
ATAC-seqAcute Renal Failure with Renal Papillary NecrosisAdultAffectAgeAgingAnatomyAnimal ModelArchitectureAtlasesBenchmarkingBiopsyBirthBladderCardiovascular DiseasesCause of DeathCell NucleusCellsCessation of lifeChildChildhoodChildhood InjuryChromatinChronic Kidney FailureClinicalCommunitiesCoupledDNADataData SetDimensionsDiseaseDisease modelDrug DesignEarly DiagnosisEmbryoEnd stage renal failureEnvironmentEnvironmental ExposureEpigenetic ProcessEtiologyFocal and Segmental GlomerulosclerosisFunctional disorderFutureGene ExpressionGenerationsGenesGenomicsGrowthHistologicHomeostasisHumanHyperoxiaHypertensionImpairmentInfectionIntensive CareInvestigationIschemiaKidneyKidney CalculiKidney DiseasesKidney FailureKnowledgeLength of StayLife Cycle StagesLinkLongevityLower urinary tractMachine LearningMapsMethodsMolecularMolecular ProfilingNeonatalOrganOrganoidsPathogenesisPathologicPathologyPathway interactionsPatient CarePharmaceutical PreparationsPhysiologicalPopulationProceduresProcessProteinuriaProtocols documentationPubertyQuality ControlQuality of lifeRNARaceRegulatory ElementRenal functionRenal glomerular diseaseResearchResearch PersonnelResearch PriorityResearch Project GrantsResourcesSamplingSecond Pregnancy TrimesterSex DifferencesSiteSourceSpecimenStandardizationStructureStudentsStudy modelsSystemTechnologyTherapeuticTimeTissue EngineeringTissuesTubular formationUrinary tractUterusVariantage groupanalytical toolbody systemcell typeclinical phenotypecohortcongenital anomalies of the kidneycongenital anomalycopingdata miningdesigndisabilityextracellularfetalgene regulatory networkgenome sequencinggenome wide association studyhuman diseaseinduced pluripotent stem cellinnovationinsightinterestkidney biopsykidney dysfunctionmortalitymultidimensional datamultimodal datamultimodalitymultiple omicsnephrogenesisnephrotoxicityoutcome predictionpostnatalpostnatal periodpreservationquality assurancerecurrent infectionrepairedsextraittranscriptomicswhole genome

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Abstract/Project Summary Kidney disease is common and deadly with frequent onset in childhood. Kidney and urinary tract congenital anomalies account for the majority of renal failure in children. Glomerular diseases and acute kidney injury (AKI) occur in up to 60% of neonatal and pediatric intensive care patients, directly correlating with length of stay, subsequent disability, and mortality. Kidney insults in childhood including ischemia, hyperoxia, infection and nephrotoxic drug/environmental exposures impair glomerular, tubular and bladder physiologic maturation and function resulting in overt chronic renal disease (CKD), and with stealthier hypertension and proteinuria. Although molecular interrogation of fetal and adult kidney is advanced, data on the postnatal developing and injured pediatric kidney and urinary tract are lagging due to lack of pediatric samples of healthy / reference kidneys and a network for investigation. This dataset is critical to understand postnatal kidney disease in all living children and to augment investigation of various consortia interrogating molecular signatures from children with CKD. This pediatric kidney atlas project (pKidCAP) is a unique opportunity to unite a collaborative set of investigators together with a biomedical core (pKidBIO) with a proven source of donor pediatric organs to build an atlas across age, race and sex. The pKidCAP will apply snRNAseq/ATACseq for defining cell specific gene expression and cis-regulatory elements from the same cell. Cell type and state diversity will be mapped across the pediatric life cycle on tissue using near single cell spatial transcriptomics. These maps will be generated on healthy and a subset of pediatric kidney disease biopsies that can inform disease model studies in Project 2 and other consortia investigating similar diseases. Whole genome sequencing in all of the samples will provide a link of expression data associated with discrete regions on the active DNA site in single cells to resolve corresponding SNPs or deleterious variants to their cell identities. The pKidCAP atlas will serve as a benchmark for the research community interested in rebuilding kidneys, elucidating mechanisms of kidney maturation and homeostasis, and mapping GWAS traits to active states to support causality. Studies using animal models and organoids from iPS cells will use this dataset as a key reference to prioritize research for drug design relevant to pediatric kidney disease. The unique data and maps will attract expertise outside traditional kidney researchers, including computational biologists and informaticists to design better analytical tools and new methods of data mining for new discoveries by combining multimodal datasets across time points from pediatric to adult ages. Researchers in machine learning, ageing research and tissue engineering will be drawn to solve fundamental aspects of cellular differentiation in relation to disease, ageing and tissue engineering that could be broadly applicable to other organ systems. This project will also be a unique opportunity to attract students and trainees who are embarking on single cell multiomics projects, thereby increasing the future cohort of researchers in this field.
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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: