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cellular-senescence-agent

维护者 FreedomIntelligence · 最近更新 2026年4月1日

cellular-senescence-agent：Cellular senescence analysis：marker scoring，SASP profiling，tissue aging assessment。

OpenClawNanoClaw分析处理复现实验cellular-senescence-agent🧠 bioos extended suiteresearch infrastructure & agentscellular

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/cellular-senescence-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

  • Cellular Senescence Agent provides comprehensive AI-driven analysis of cellular senescence signatures ，用于 aging research，cancer biology，、 senolytic therapeutic development。
  • When identifying senescent cells in tissue 或 single-cell data。
  • To analyze senescence-associated secretory phenotype (SASP)。
  • 用于 predicting senolytic drug sensitivity。
  • When studying therapy-induced senescence in cancer。

原始文档

SKILL.md 摘录

Core Capabilities

  1. Senescence Scoring: Calculate senescence signatures from transcriptomic data.

  2. SASP Profiling: Characterize senescence-associated secretory phenotype composition.

  3. Single-Cell Detection: Identify senescent cells in scRNA-seq data.

  4. Senolytic Prediction: Predict sensitivity to senolytic drugs.

  5. Tissue Aging: Assess senescence burden across tissues.

  6. Cancer Senescence: Analyze therapy-induced senescence.

Senescence Markers

CategoryMarkersDetection
Cell cyclep16INK4a, p21CIP1, p53Expression, IHC
SA-β-galGLB1 (lysosomal)Activity assay
SASPIL-6, IL-8, MMP3, PAI-1Expression, secretion
DNA damageγH2AX, 53BP1 fociImmunofluorescence
MorphologyEnlarged, flattenedImaging
EpigeneticSAHF, SAHMsChromatin marks

Workflow

  1. Input: Bulk or single-cell RNA-seq, proteomics, imaging data.

  2. Signature Scoring: Apply senescence gene signatures.

  3. SASP Analysis: Profile secretory phenotype.

  4. Cell Identification: Flag senescent cells (single-cell).

  5. Senolytic Prediction: Match to drug sensitivity profiles.

  6. Burden Estimation: Quantify senescence load.

  7. Output: Senescence scores, SASP profile, drug recommendations.

适用场景

  • When identifying senescent cells in tissue 或 single-cell data。

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

  • Single_Cell - For scRNA-seq analysis
  • Cancer_Metabolism_Agent - For metabolic senescence
  • Tumor_Microenvironment - For SASP effects

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