数据与复现临床医学与医药FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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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.

OpenClawNanoClaw分析处理复现实验exosome-ev-analysis-agent🧠 bioos extended suiteoncology & precision medicine agentsextracellular

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

2 min

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

  1. EV Cargo Profiling: Analyze exosomal RNA (miRNA, lncRNA, circRNA), proteins, and lipids.

  2. Tumor EV Identification: Distinguish tumor-derived EVs from normal EVs using surface markers and cargo.

  3. Biomarker Discovery: ML-driven identification of cancer-specific EV signatures.

  4. Communication Network: Map EV-mediated signaling between tumor and TME cells.

  5. Functional Prediction: Predict downstream effects of EV cargo on recipient cells.

  6. Diagnostic Development: Support EV-based diagnostic assay design.

EV Classification

TypeSizeOriginMarkers
Exosomes30-150 nmMVB fusionCD9, CD63, CD81
Microvesicles100-1000 nmMembrane buddingAnnexin V, ARF6
Apoptotic bodies500-5000 nmCell deathAnnexin V, PS
Large oncosomes1-10 μmTumor-specificVariable

Workflow

  1. Input: EV isolation method, cargo profiling data (RNA-seq, proteomics), characterization data.

  2. Quality Assessment: Evaluate EV purity and characterization (NTA, TEM, markers).

  3. Cargo Analysis: Profile RNA, protein, and lipid content.

  4. Source Deconvolution: Identify tumor vs stromal EV origin.

  5. Biomarker Selection: Identify cancer-specific signatures.

  6. Functional Prediction: Predict effects on recipient cells.

  7. 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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