Design armored CAR-T cells with cytokine payloads and resistance mechanisms.
tme-immune-profiling-agent
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Tumor microenvironment immune profiling: cell type deconvolution and spatial mapping.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tme-immune-profiling-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
- TME Immune Profiling Agent provides comprehensive tumor microenvironment (TME) immune profiling by integrating multiple data modalities ,涵盖 bulk RNA-seq deconvolution,single-cell transcriptomics,spatial transcriptomics,、 multiplex immunofluorescence. It enables biomarker discovery ,用于 immunotherapy response 、 TME-based patient stratification。
- When characterizing immune composition of tumor microenvironment。
- 用于 predicting immunotherapy response ,面向 TME profiles。
- To identify immune cell states 、 functional programs。
- When analyzing spatial organization of immune infiltrates。
原始文档
SKILL.md 摘录
Core Capabilities
-
Bulk Deconvolution: Estimate immune cell fractions from bulk RNA-seq.
-
Single-Cell Immune Profiling: Deep characterization of immune populations.
-
Spatial Immune Architecture: Map immune cell locations and neighborhoods.
-
Immune Phenotype Classification: Hot/cold/excluded tumor classification.
-
Functional State Analysis: Exhaustion, activation, memory signatures.
-
Response Prediction: Multi-modal immunotherapy response models.
Immune Cell Types Profiled
| Cell Type | Subtypes | Key Markers |
|---|---|---|
| T cells | CD8+, CD4+, Treg, Th1/2/17 | CD3, CD8, CD4, FOXP3 |
| B cells | Naive, memory, plasma | CD19, CD20, CD138 |
| NK cells | CD56bright, CD56dim | NKG7, NCAM1 |
| Macrophages | M1, M2, TAM | CD68, CD163, CD206 |
| Dendritic | cDC1, cDC2, pDC | CLEC9A, CD1C, BDCA2 |
| MDSC | M-MDSC, PMN-MDSC | CD33, CD11b, ARG1 |
| CAF | myCAF, iCAF, apCAF | FAP, ACTA2, COL1A1 |
Deconvolution Methods
| Method | Algorithm | Cell Types | Best For |
|---|---|---|---|
| CIBERSORTx | SVR | 22 | Gold standard |
| xCell | ssGSEA | 64 | Comprehensive |
| EPIC | Constrained regression | 8 | Tumor/stroma |
| MCP-counter | Marker genes | 10 | Robust scores |
| quanTIseq | Deconvolution | 10 | Pan-cancer |
| TIMER2.0 | Multiple | Variable | Integrated |
适用场景
- When characteri。
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
- TCR_Repertoire_Analysis_Agent - T cell specificity
- TCell_Exhaustion_Analysis_Agent - Exhaustion phenotyping
- Spatial_Epigenomics_Agent - Spatial analysis
- Nicheformer_Spatial_Agent - Spatial foundation models
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