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Multimodal Imaging Mass Spectrometry and Spatial Omics for the Human Kidney

人类肾脏的多模态成像质谱和空间组学

基本信息

批准号：
10701835
负责人：
Jeffrey M Spraggins
金额：
$ 61.25万
依托单位：
VANDERBILT 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 2027-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10701835
关键词：
Academic Medical Centers Acute Renal Failure with Renal Papillary Necrosis Affect Age Analytical Chemistry Anatomy Atlases Automobile Driving Biological Biopsy Blood capillaries Cells Cellular biology Characteristics Chronic Kidney Failure Clinical Collection Computer Analysis Data Data Analyses Data Science Data Set Digestion Disease Distal Duct (organ) structure Elements Environment Filtration Heterogeneity Homeostasis Human Human BioMolecular Atlas Program Image Image Analysis Individual Infrastructure Kidney Kidney Diseases Knowledge Label Laboratories Learning Link Lipids Lymphatic Maps Mass Spectrum Analysis Messenger RNA Microscopy Mission Modality Molecular Molecular Analysis Molecular Profiling Morphology Multimodal Imaging Neighborhoods Nephrology Nephrons Pathology Pathway interactions Patients Performance Process Proteins Proteomics Protocols documentation Race Research Research Personnel Resolution Resources Sampling Site Sodium Chloride Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Stains Structure Surface Technology Therapeutic Intervention Tissue atlas Tissues Translating Tubular formation Universities Validation Water analysis pipeline biocomputing blood pressure control cell type clinical phenotype cohort computerized tools data integration digital disease heterogeneity disorder subtype experience experimental study extracellular human imaging image registration imaging Segmentation imaging facilities injured innovation insight interstitial kidney biopsy kidney cell kidney imaging laser capture microdissection mass spectrometric imaging molecular imaging multimodal data multimodality multiple omics nano-string next generation sequencing patient population potential biomarker precision medicine sex spatial integration spatial relationship specific biomarkers supervised learning transcriptomics unsupervised learning

项目摘要

PROJECT SUMMARY: The mission of the proposed Kidney Precision Medicine Project Tissue Interrogation Site (TIS) is to apply a platform of integrated multiomic imaging and spatially resolved molecular technologies to biopsies from patients with acute kidney injury (AKI) and chronic kidney disease (CKD) to define key pathways and understand the molecular drivers of disease heterogeneity. This TIS will leverage the unique resources of the Mass Spectrometry Research Center and VU Biomolecular Imaging Center, as well as the world-class clinical environment of the Vanderbilt University Medical Center, the valuable input of our patient partner, and the advanced biocomputational infrastructure available through the data analysis laboratories at Vanderbilt University and the Delft University of Technology. The main objectives of our TIS are to: (1) generate high quality images of kidney biopsies using an innovative state-of-the-art multimodal imaging pipeline that includes matrix- assisted laser desorption/ionization imaging mass spectrometry (IMS), autofluorescence, and stained microscopy; (2) acquire spatially resolved proteomics and transcriptomics data using microLESA, laser capture microdissection, and the GeoMx Digital Spatial Profiler as well as perform network and enrichment analysis to validate and enhance biological interpretation of the imaging data; and (3) implement advanced data analysis strategies to identify potential biomarkers and optimal points of therapeutic intervention. With this suite of technologies, data analysis capabilities, and previous experience developing atlases of healthy-for-age human kidney tissue, we will create kidney tissue atlases to define the molecular landscape of biopsies from various patient populations (e.g., age, race, sex) as well as of AKI and CKD clinical phenotypes, disease states, and transitions; with an eye toward determining potential disease subclasses. To accomplish these aims, we assembled a highly interactive and established team of investigators consisting of complementary expertise in nephrology, cell biology, analytical chemistry, and data science.

项目概述：拟定肾脏精准医学项目组织讯问的任务