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Kidney single cell and spatial molecular atlas project - KIDSSMAP

肾脏单细胞和空间分子图谱项目 - KIDSSMAP

基本信息

批准号：
10867926
负责人：
Sanjay Jain
金额：
$ 12.5万
依托单位：
WASHINGTON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-15 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10867926
关键词：
3-Dimensional APRIN gene ATAC-seq Address Adult Affect Age Aging Agreement Anatomy Antibodies Antigens Area Atlases Award Biological Biological Assay Biology Biopsy Blood Budgets Calibration Cell Communication Cell Nucleus Cells Cellular Structures Chromatin Classification Collaborations Communities Complex Creativeness Data Data Analyses Data Collection Data Set Detection Dimensions Disease Dissection Drops Duct (organ) structure Engineering Ensure Epithelium Experimental Designs Extracellular Domain Extracellular Matrix Proteins Feedback Fibroblasts Fluorescence Fluorescence Microscopy Funding Future Gene Expression Gene Expression Regulation Generations Genetic Transcription Goals Graph Happiness Health Histology Human Human BioMolecular Atlas Program Image Imaging technology Immune Immunofluorescence Immunologic In Situ Individual Industry Standard Joints Kidney Label Lasers Light Link Lipids Machine Learning Manuals Maps Metadata Methods Microscopy Minor Modality Molecular Molecular Profiling Morphology Multiomic Data Neighborhoods Nephrons Nerve Normalcy Organ Output Paper Participant Pathologist Pathway interactions Patient Recruitments Patients Phase Population Population Heterogeneity Postbaccalaureate Printing Probability Process Production Proteins Proteome Proteomics Protocols documentation Published Comment Publishing RNA Race Raman Spectrum Analysis Readability Regulation Renal function Research Personnel Resolution Resources Rest Route Sample Size Sampling Scheme Selection Criteria Site Slice Slide Small Nuclear RNA Spectrum Analysis Spottings Stains Standardization Structure Students Technology Testing Three-Dimensional Image Time Tissue Banks Tissue imaging Tissues Training Transcript United States National Institutes of Health Update Validation Variant Visualization software Work cell type confocal imaging cost cost effective data integration density epigenomics extracellular genome-wide high dimensionality improved innovation insight instrument interest interoperability kidney biopsy kidney cell lipidomics machine learning algorithm metabolomics movie multi-photon multimodality multiple omics neurovascular next generation novel preservation protein biomarkers protein metabolite response sex single cell analysis single nucleus RNA-sequencing spatial integration spectroscopic imaging summer program synergism timeline tool tool development transcriptome sequencing transcriptomics user-friendly

项目摘要

$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.

$ EVWUDFW 2 yhudoo