人类浸润性导管癌单细胞转录组解析
人类浸润性导管癌的750个单细胞RNA测序数据，用于癌症转录组研究。
基本信息
资源简介
人类浸润性导管癌单细胞转录组解析
【数据集背景】
本数据集源站标题为《mokhtar200/Single-Cell-Transcriptomic-Dissection-of-Human-Invasive-Ductal-Carcinoma-Using-10x-Genomics-3-v3.1》。源站首次发布：2026-01-01。
【数据内容】
源站原始描述：# Single-Cell Transcriptomic Dissection of Human Invasive Ductal Carcinoma ## Overview This project presents a complete single-cell RNA sequencing (scRNA-seq) analysis of 750 sorted cells from human Invasive Ductal Carcinoma (IDC) generated using 10x Genomics 3′ v3.1 chemistry and processed with Cell Ranger v6.0.0. The workflow performs quality control, normalization using **SCTransform**, dimensionality reduction, clustering, automatic cell-type annotation, and tumor vs normal epithelial compar…
【适用方向】
组学数据适用于生物标志物发现与分子分型相关建模研究。
【获取与许可】
源站页面：https://github.com/mokhtar200/Single-Cell-Transcriptomic-Dissection-of-Human-Invasive-Ductal-Carcinoma-Using-10x-Genomics-3-v3.1
使用许可：MIT。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载，适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档，适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务（收技术服务费，非数据销售）
暂未开放当前数据集主要来源为 Kaggle 公开托管，完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取
# 克隆仓库（含数据与代码）
git clone https://github.com/mokhtar200/Single-Cell-Transcriptomic-Dissection-of-Human-Invasive-Ductal-Carcinoma-Using-10x-Genomics-3-v3.1.git
# 或仅下载打包文件
curl -L -o repo.zip https://github.com/mokhtar200/Single-Cell-Transcriptomic-Dissection-of-Human-Invasive-Ductal-Carcinoma-Using-10x-Genomics-3-v3.1/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录（使用方式）
Single-Cell Transcriptomic Dissection of Human Invasive Ductal Carcinoma
Overview
This project presents a complete single-cell RNA sequencing (scRNA-seq) analysis of 750 sorted cells from human Invasive Ductal Carcinoma (IDC) generated using 10x Genomics 3′ v3.1 chemistry and processed with Cell Ranger v6.0.0.
The workflow performs quality control, normalization using SCTransform, dimensionality reduction, clustering, automatic cell-type annotation, and tumor vs normal epithelial comparison to dissect the cellular heterogeneity of IDC.
Dataset Information
- Tissue: Human Invasive Ductal Carcinoma (Breast Cancer)
- Cells: 750 sorted cells
- Platform:10x Genomics Chromium
- Chemistry: 3′ LT v3.1 (Universal 3′)
- Preprocessing: Cell Ranger 6.0.0
Analysis Workflow
- Data import from Cell Ranger output
- Quality control and filtering
- Normalization using SCTransform
- PCA, graph-based clustering, and UMAP visualization
- Automatic cell-type annotation using SingleR
- Identification of epithelial cells
- Tumor vs normal epithelial state classification
- Differential gene expression analysis
- Visualization of marker genes and tumor-associated signatures
Tools & Packages
- Seurat
- SingleR
- celldex
- tidyverse
- patchwork
Key Outputs
- UMAP plots of clustered and annotated cells
- Cell-type annotations (immune, stromal, epithelial)
- Tumor vs normal epithelial differential expression table
- Marker gene heatmaps
- Reproducible Seurat objects
Biological Insights
This analysis highlights:
- Intratumoral heterogeneity of IDC
- Distinct epithelial tumor and normal-like populations
- Immune and stromal components of the tumor microenvironment
- Tumor-associated transcriptional programs, including EMT-like states
数据说明
该数据集包含来自人类浸润性导管癌(IDC)的750个排序细胞的单细胞RNA测序(scRNA-seq)数据，使用10x Genomics 3′ v3.1化学方法和Cell Ranger v6.0.0处理生成，可用于癌症转录组分析、细胞异质性研究等任务。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
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