POU2F3 与 OCA-T1/OCA-T2 的 DNA 依赖性共激活因子招募结构基础 [DMS_Screen]

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE302004

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 transcription factor POU2F3 defines the identity of tuft cells and underlies a distinct molecular subtype of small cell lung cancer (SCLC). Although POU2F3 is considered undruggable, its activity critically depends on the coactivators OCA-T1 and OCA-T2. Here, we demonstrate that acute suppression of either POU2F3 or OCA-T1 induces regression of tuft cell-like SCLC xenografts in vivo. To explore the structural basis and druggability of this dependency, we solved crystal structures of POU2F3 bound to OCA-T1 or OCA-T2 in complex with DNA, revealing a tripartite, DNA-dependent interface. We further employed deep mutational scanning to systematically assess the functional impact of 4,218 missense variants in POU2F3 and OCA-T1, uncovering both mutation-sensitive hotspots and structurally constrained regions critical for tumor cell fitness. These findings define a unique transcriptional complex that integrates DNA recognition with coactivator recruitment and nominate POU2F3–OCA-T as a structurally tractable vulnerability in tuft cell-like carcinomas.

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。