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R44NIH · NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESNIH

Multi-omics profiling of individual exosomes for origin-tracing, biomarker discovery, and biological function characterization

Chen, Yuchao (Contact)·WELLSIM BIOMEDICAL TECHNOLOGIES, INC., CA·2022–2026·COMPLETED
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INSTITUTION

WELLSIM BIOMEDICAL TECHNOLOGIES, INC., CA

PRINCIPAL INVESTIGATOR

Chen, Yuchao (Contact)

FUNDING

$738K

YEAR

2022

MOONBASE SCORE

Still being scored

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Abstract

PROJECT SUMMARY / ABSTRACT Extracellular vesicles (EVs) exhibit high heterogeneity in biofluids, a feature that traditional bulk-level analysis approaches fail to capture in terms of individual variations. While numerous techniques exist for single-EV analysis, the majority focus primarily on profiling surface proteins. Transcriptional analysis at the level of individual EVs, however, remains largely unexplored. To bridge this gap, we propose the development of a technology for multimodal profiling of individual EVs, leveraging next-generation sequencing and an optimized method for multiplex library preparation. This proposed platform will serve as a unique tool for high-throughput, integrative profiling of single-EV gene expression and surface proteins. It aims to offer high-sensitivity, multi- dimensional biological insights, thereby potentially accelerating the advancement of EV-based diagnostics and targeted therapies.

R44NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCESSpecial Emphasis Panel[ZRG1-MCST-G(15)B]variationsacceleratingdiagnosticsindividualmultiintegrativeabstractuniquetranscriptionalvesiclesheterogeneitybiofluidsdevelopmentofferbiologicalextracellular

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