A549来源外泌体将成纤维细胞转化为癌症相关成纤维细胞（mRNA）

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE144176

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 communication between tumor-derived exosomes and stroma plays a critical role in facilitating cancer progression. We detected the mRNA expression levels after MRC5 was transfected with shRNAs targeting FOXN3 or incubated with A549 cells-derived exosomes. We reported that in lung cancer microenvironment, tumor cells exhibit a great capacity to convert normal fibroblasts (NFs) to cancer-associated fibroblasts (CAFs). We showed that tumor cells secrete a subset of exosomal microRNAs directly targeting FOXN3, which leads to the activation of fibroblasts. Activated CAFs further promote cancer growth by entering tumor tissues. These results demonstrate that intercellular crosstalk between tumor cells and fibroblasts is mediated by tumor-derived exosomes, providing potential targets for treatment of lung cancer.

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。