c-JUN增强CRISPR敲入anti-B7-H3 CAR T细胞功能治疗小细胞肺癌与胸部SMARCA4缺陷未分化肿瘤

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE307259

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

Small Cell Lung Cancer (SCLC), a highly lethal disease, limits T-cell responses by downregulating Major Histocompatibility (MHC) class I molecules. Because chimeric antigen receptor (CAR) T-cells are not MHC-restricted, they may provide a powerful strategy against SCLC. However, few CAR targets for SCLC have been identified. Here we show that B7-H3/CD276 is expressed on the surface of SCLC and thoracic SMARCA4-deficient undifferentiated tumor (UT) cells that can clinicopathologically mimic SCLC. Thoracic SMARCA4-deficient UT, despite high B7-H3 expression, limit killing by B7-H3 CAR-T cells via secretion of transforming growth factor beta 1 (TGFB1). To overcome tumor-driven CAR-T cell suppression, we knocked-in c-JUN alongside a B7-H3 CAR into the TRAC locus of primary human T-cells utilizing CRISPR/Cas9. Non-viral c-JUN+B7-H3 CAR-T cells show enhanced killing of both SCLC cells with low antigen density and thoracic SMARCA4-deficient UT, providing a platform to address these highly aggressive entities. We also provide evidence that GMP clinical scale manufacturing is feasible for c-JUN+B7-H3 CAR-T cells.

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。