A549细胞中flag(ETV4)全基因组靶向结合数据

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE228833

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 ETS family of oncogenic TFs is emerging as crucial mediators of tumorigenesis in solid tumors. New insights into the molecular mechanisms hijacked by these factors will pave the way for novel therapeutic strategies. We have previously shown that ETV4 is the preponderant ETS factor that is associated with tumor progression and a worse prognosis in NSCLC. To determine the genome-wide chromatin binding of ETV4, we performed chromatin immunoprecipitation (ChIP)-sequencing studies in A549-shETV4 cells transfected with flag-ETV4 using flag antibody. In total, 54389 ETV4 binding peaks representing 25708 genes were identified (FC > 2), and 43.71% peaks were enriched in the promoter regions. Our ChIP-seq data showed that ETV4 is enriched in many genes that related with the wnt signaling pathway, MAPK signaling pathway, cell cycle, and autophagy, etc.

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。