Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
exosome-ev-analysis-agent
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Extracellular vesicle and exosome analysis: cargo profiling and biomarker discovery.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/exosome-ev-analysis-agent
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Exosome/EV Analysis Agent provides comprehensive AI-driven analysis of extracellular vesicles ,用于 cancer biomarker discovery,liquid biopsy applications,、 tumor-microenvironment communication profiling。
- When analyzing exosome cargo (RNA,protein,lipids) ,用于 biomarker discovery。
- To identify tumor-derived EVs in liquid biopsy samples。
- 用于 profiling EV-mediated intercellular communication in cancer。
- When predicting EV uptake 、 functional effects on recipient cells。
原始文档
SKILL.md 摘录
Core Capabilities
-
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.
EV Classification
| 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 |
Workflow
-
Input: EV isolation method, cargo profiling data (RNA-seq, proteomics), characterization data.
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Quality Assessment: Evaluate EV purity and characterization (NTA, TEM, markers).
-
Cargo Analysis: Profile RNA, protein, and lipid content.
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Source Deconvolution: Identify tumor vs stromal EV origin.
-
Biomarker Selection: Identify cancer-specific signatures.
-
Functional Prediction: Predict effects on recipient cells.
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Output: EV profile, biomarker candidates, functional predictions.
适用场景
- Use exosome-ev-analysis-agent ,用于 clinical,translational,或 medical research tasks。
- Apply exosome-ev-analysis-agent when healthcare-specific guidance is required。
不适用场景
- Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。
上游相关技能
- Liquid_Biopsy_Analytics_Agent - For other liquid biopsy analytes
- Tumor_Microenvironment - For TME communication
- Cell-Free RNA Analysis - For plasma RNA
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