巨噬细胞STING/MITA-CD38轴支持调节性T细胞存活与NSCLC进展

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE288401

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

Mediator of IRF3 activation (MITA, also known as STING) is a cyclic GMP-AMP (cGAMP) receptor that activates type I interferon responses to inhibit tumorigenesis in tumor cells. However, the MITA agonists have limited antitumor efficacy in clinical trials. Here we show that MITA in macrophages promotes the survival of regulatory T cell (Treg) in the tumor microenvironment (TME) and the progression of non-small cell lung cancer (NSCLC) in the KRasG12D autochthonous NSCLC mouse models. Mechanistically, MITA-mediated activation of NF-B upregulates CD38 in monocyte-derived macrophages (MDMs) that metabolizes nicotinamide adenine dinucleotide (NAD) into niacinamide (NAM) and ADP-ribose in the TME. Inhibition of CD38 enzymatic activity or deletion of MITA or CD38 alone or simultaneously in macrophages results in the accumulation of NAD that induces apoptosis of Treg via the ART2-P2RX7 axis and enhances antitumor CD8+ T-cell responses in the TME. Importantly, pharmacological inhibition of CD38 sensitizes mice to the low-dose anti-CTLA4 therapy in the KRasG12D autochthonous NSCLC mouse models. These findings uncover a previously uncharacterized cGAMP-MITA-CD38 axis in MDMs that supports Treg survival and NSCLC progression and highlight potential therapeutic strategies for immune checkpoint blockade (ICB)-resistant cancers.

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。