METTL3通过调控CDC25A和AURKB mRNA稳定性参与非小细胞肺癌细胞系奥希替尼耐药

数据集获取

源站：https://ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE283535

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

Osimertinib, a third-generation EGFR tyrosine kinase inhibitor, is used as a first-line therapy for non-small cell lung cancer (NSCLC) harboring EGFR mutations. Nevertheless, the emergence of acquired drug resistance poses a significant challenge, leading to poor clinical outcomes. METTL3, a key methyltransferase responsible for N6-methyladenosine (m6A) modification of RNA, has been implicated in cancer development and progression across various cancer types. In this study, we explored the role of METTL3 in acquired resistance to osimertinib and assessed its potential as a therapeutic target. Using METTL3 knockdown EGFR-mutated NSCLC cell lines, we found that downregulation of METTL3 suppressed the acquisition of osimertinib resistance. Microarray analysis and qRT-PCR revealed that CDC25A and AURKB are downstream target genes of METTL3, with METTL3 facilitating the stabilization of their mRNAs. Downregulation of these METTL3 target genes also attenuated osimertinib resistance. Furthermore, we evaluated the effects of combining osimertinib with either a METTL3 inhibitor or a CDC25A inhibitor, both of which increased drug efficacy by promoting apoptosis. Collectively, this study highlights the involvement of METTL3 in the initial acquisition of osimertinib resistance and the therapeutic potential of targeting the METTL3-mediated regulatory pathway.

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。