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

NIH RePORTER · NIH · R43 · $249,974 · view on reporter.nih.gov ↗

Abstract

PROJECT SUMMARY / ABSTRACT Exosomes, the small extracellular vesicles (30-200 nm), are highly heterogeneous in biofluids. However, traditional bulk-level analysis approaches fail to represent their individual variations. A technique for multi-omics profiling of exosomes at single-particle resolution is of great interest to the exosome research field, but has yet to be developed. WellSIM proposes to develop and validate a method for multi-omics profiling of individual exosomes based on our exosome isolation system (EXODUS), a droplet-based microfluidic device (EXOSeq), and next-generation sequencing (NGS). Our proposed technique will be the first integrative proteomic and transcriptomic profiling of exosomes at the single-particle level, offering high-resolution multi-dimensional biological insights for exosome study and application.

Key facts

NIH application ID
10384216
Project number
1R43GM145015-01
Recipient
WELLSIM BIOMEDICAL TECHNOLOGIES, INC.
Principal Investigator
Yuchao Chen
Activity code
R43
Funding institute
NIH
Fiscal year
2022
Award amount
$249,974
Award type
1
Project period
2022-03-01 → 2023-02-28