Molecular dissection and imaging of extracellular vesicles to define their origin and targets

细胞外囊泡的分子解剖和成像以确定其起源和目标

• 批准号: 10350010
• 负责人: Saumya Das
• 金额: $ 110.01万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-16 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10350010
• 关键词: Acute Disease; Address; Affinity; Antibodies; Biological Markers; Blood; Blood Plasma Volume; Brain; CD81 gene; Cardiac; Cell Separation; Cells; Characteristics; Clinic; Clinical; Collaborations; Communication; Computer Analysis; Coupled; Development; Disease; Disease Progression; Disease regression; Dissection; Exercise; Fluorescence; Future; Genetic; Goals; Health; Heart; Hematopoietic; Heterogeneity; Human; Image; Individual; Lead; Maps; Mediating; Mediator of activation protein; Membrane Proteins; Methodology; MicroRNAs; Microscopy; Molecular; Mus; Myocardial Infarction; Myocardial Ischemia; Organ; Partner in relationship; Patients; Peripheral Blood Mononuclear Cell; Phase; Physiological Processes; Plasma; Population; Prognostic Marker; Proteins; Proteomics; RNA; Reporter; Research Personnel; Resolution; Specificity; Stress; Stroke; Surface; Techniques; Technology; Testing; Time; Tissue Microarray; Tissues; Validation; Vesicle; Work; base; calmodulin-dependent protein kinase II; cell type; cerebrovascular; data mining; data repository; diagnostic biomarker; disease stressor; experimental study; extracellular; extracellular vesicles; human disease; human model; imaging modality; improved; innovation; insight; intercellular communication; mouse model; nano; nanoflow cytometry; novel; novel diagnostics; physiologic stressor; population based; predictive marker; protein biomarkers; response; single cell sequencing; single molecule; tool; transcriptome sequencing; transcriptomics; translational impact

Extracellular vesicles (EVs) and the RNAs contained within them (EV-RNAs) are secreted into biofluids by every cell type. EV-RNAs have emerged as potential prognostic or predictive biomarkers of a wide range of diseases, providing a targetable, accurate real-time representation of the disease state. However, advancement of EV- RNAs in the clinic as biomarkers of disease has been impeded by challenges in their isolation and characterization. Most notably, there is a lack of tools and techniques to i) isolate and precisely characterize tissue-specific EV-RNA populations; ii) define heterogeneity in surface markers and RNA content in tissue- specific EV populations; and iii) determine changes in EV-RNAs associated with disease state. In this multi-PI proposal, we will use a collaborative and innovative approach to advance technology that would allow isolation and granular characterization of EV populations from hematopoietic cells, brain, and heart. Our objective in the UG3 phase is to identify cell/tissue specific markers for isolation of EVs using computational analysis, transcriptomics, and EV-tracking in genetic mouse models; this approach would allow for fluorescence/antibody-based identification of EVs in a cell-specific manner. Information will also be obtained on individual EVs with a novel quantitative single molecule localization microscopy (qSMLM) approach. qSMLM, a sensitive fluorescence-based imaging method, will be used to quantify the number of affinity isolated EVs, their size, and key RNA content using molecular beacons. The identified tissue-specific EV-markers and EV-RNAs will be used in the UH3 phase for validation in a variety of human models. Our objective in the UH3 phase is to determine cellular/tissue contribution to EV-RNAs from Tissue-Chip effluents; and assess dynamic changes in EVs from human plasma from subjects with acute disease (coronary ischemia or cerebrovascular accident) or physiological processes (exercise). We will validate key EV-RNAs (using nano-flow cytometry and molecular beacons) and use qSMLM with molecular beacons to provide a quantitative profile of EVs at a single vesicle resolution. Notably, proposed experiments will help determine contribution of different tissues to the plasma biofluid RNA landscape at baseline, and in response to physiological or disease stressors. Together, the tools and techniques developed in the UG3 phase, and validated in the UH3 phase would serve as a road-map for the discovery and development of EV markers and EV-RNAs specific to other tissues. Ultimately, the use of tissue-specific EV-RNAs to probe disease state would provide a dynamic window into disease progression or regression with higher sensitivity and fidelity compared to currently available technologies.

细胞外囊泡（EVs）及其所含的rna （ev - rna）是由生物细胞分泌到生物体液中的