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

> **NIH NIH R43** · WELLSIM BIOMEDICAL TECHNOLOGIES, INC. · 2022 · $249,974

## 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 organization:** WELLSIM BIOMEDICAL TECHNOLOGIES, INC.
- **Principal Investigator:** Yuchao Chen
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $249,974
- **Award type:** 1
- **Project period:** 2022-03-01 → 2023-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10384216

## Citation

> US National Institutes of Health, RePORTER application 10384216, Multi-omics profiling of individual exosomes for their origin-tracing, biomarker discovery, and biological function characterization (1R43GM145015-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10384216. Licensed CC0.

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