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exosome-ev-analysis-agent

Maintainer FreedomIntelligence · Last updated April 1, 2026

Extracellular vesicle and exosome analysis: cargo profiling and biomarker discovery.

OpenClawNanoClawAnalysisReproductionexosome-ev-analysis-agent🧠 bioos extended suiteoncology & precision medicine agentsextracellular

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/exosome-ev-analysis-agent

Skill Snapshot

2 min

The Exosome/EV Analysis Agent provides comprehensive AI-driven analysis of extracellular vesicles for cancer biomarker discovery, liquid biopsy applications, and tumor-microenvironment communication profiling.
When analyzing exosome cargo (RNA, protein, lipids) for biomarker discovery.
To identify tumor-derived EVs in liquid biopsy samples.
For profiling EV-mediated intercellular communication in cancer.
When predicting EV uptake and functional effects on recipient cells.

Source Doc

EV Cargo Profiling: Analyze exosomal RNA (miRNA, lncRNA, circRNA), proteins, and lipids.
Tumor EV Identification: Distinguish tumor-derived EVs from normal EVs using surface markers and cargo.
Biomarker Discovery: ML-driven identification of cancer-specific EV signatures.
Communication Network: Map EV-mediated signaling between tumor and TME cells.
Functional Prediction: Predict downstream effects of EV cargo on recipient cells.
Diagnostic Development: Support EV-based diagnostic assay design.

Type	Size	Origin	Markers
Exosomes	30-150 nm	MVB fusion	CD9, CD63, CD81
Microvesicles	100-1000 nm	Membrane budding	Annexin V, ARF6
Apoptotic bodies	500-5000 nm	Cell death	Annexin V, PS
Large oncosomes	1-10 μm	Tumor-specific	Variable

Input: EV isolation method, cargo profiling data (RNA-seq, proteomics), characterization data.
Quality Assessment: Evaluate EV purity and characterization (NTA, TEM, markers).
Cargo Analysis: Profile RNA, protein, and lipid content.
Source Deconvolution: Identify tumor vs stromal EV origin.
Biomarker Selection: Identify cancer-specific signatures.
Functional Prediction: Predict effects on recipient cells.
Output: EV profile, biomarker candidates, functional predictions.

Use exosome-ev-analysis-agent for clinical, translational, or medical research tasks.
Apply exosome-ev-analysis-agent when healthcare-specific guidance is required.