GSE134658：结构细胞是器官特异性免疫反应的关键调节者

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE134658

标准获取流程：

1. 访问源站链接，注册/登录账号；
2. 进入数据集详情页，按页面指引申请权限或直接下载；
3. 部分平台提供 SDK，例如：
   • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
   • ModelScope: pip install modelscope 后 modelscope download
   • 天池: 登录后页面提供直链下载
     以源站「数据下载/使用文档」页面为准。

数据说明

The mammalian immune system implements a remarkably effective set of mechanisms for fighting pathogens. Its main actors are hematopoietic immune cells, including myeloid cells with their focus on innate immunity and lymphoid cells as enablers of adaptive immunity. Nevertheless, immune functions are not unique to hematopoietic cells, and basic mechanisms of pathogen defense are present in many other cell types. To advance our understanding of immunology outside of the hematopoietic system, we systematically investigated immune gene regulation in the three major types of structural cells: Epithelium, endothelium, and fibroblasts. We characterized these cell types across 12 organs in mice, using cellular phenotyping, transcriptome sequencing, chromatin accessibility profiling, and epigenome mapping. This comprehensive dataset uncovered a striking complexity of immune gene activity and regulation in structural cells. The observed patterns were highly organ-specific and appear to modulate interactions between structural cells and hematopoietic immune cells. Moreover, we identified an epigenetically encoded immune potential in structural cells under tissue homeostasis, which was triggered in response to systemic viral infection. This study highlights an underappreciated complexity of organ-specific immune gene regulation beyond hematopoietic cells, and it provides a high-resolution, multi-omics atlas of the epigenomic and transcription-regulatory circuitry of structural cells in the mouse.

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。