慢性阻塞性肺疾病肺组织蛋白质组图谱：血小板与巨噬细胞功能异常参与COPD发病机制

数据集获取

源站：https://omicsdi.org/dataset/iprox/PXD017158

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

Chronic obstructive pulmonary disease (COPD) is a worldwide public health challenge because of its high prevalence and related disability and mortality; however, the pathogenesis of COPD remains unknown. The aim of this study was to reveal the critical proteins involved in the pathogenesis of COPD. This study used high-resolution liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS), in combination with quantitative 6-plex tandem mass tag labeling, to profile protein changes in lung tissues from patients with COPD and healthy donors. Western blot analyses were used to validate the proteomic data. A total of 4976 proteins were identified and analyzed. One-hundred and seventy-three proteins were found significantly changed, with 118 proteins downregulated and 55 proteins upregulated. Gene ontology analysis and protein-protein interaction networks demonstrated that the changed proteins, especially down-regulated proteins, were involved in platelet and macrophage activation. Our results indicated that abnormal platelet activation caused by down-regulation of GP6, PF4, and THBS1 contributes to the hemostasis disorders, while dysfunction of alveolar macrophages in efferocytosis, as a result of down-regulation of CD163 and MARCO, caused the failure of resolution of inflammation, and thus cause COPD.

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。