非霍奇金淋巴瘤治疗靶蛋白系统医学数据集

数据集获取（Figshare）

• 源站标题：A systems medicine approach for finding target proteins affecting treatment outcomes in patients with non-Hodgkin lymphoma
• DOI：10.1371/journal.pone.0183969
• 发布日期：2017-09-11
• 文件数：9 个
• 文件总体积：21.65 MB
• 源站页面：https://plos.figshare.com/articles/dataset/A_systems_medicine_approach_for_finding_target_proteins_affecting_treatment_outcomes_in_patients_with_non-Hodgkin_lymphoma/5396359

命令行下载

curl -L -o "S1 Text.docx" "https://ndownloader.figshare.com/files/9299935"
curl -L -o "S1 Fig.pdf" "https://ndownloader.figshare.com/files/9299953"
curl -L -o "S2 Fig.pdf" "https://ndownloader.figshare.com/files/9299968"
curl -L -o "S1 Table.docx" "https://ndownloader.figshare.com/files/9299986"
curl -L -o "S2 Table.docx" "https://ndownloader.figshare.com/files/9299998"
curl -L -o "S3 Table.docx" "https://ndownloader.figshare.com/files/9300004"
curl -L -o "S4 Table.docx" "https://ndownloader.figshare.com/files/9300010"
curl -L -o "S5 Table.docx" "https://ndownloader.figshare.com/files/9300025"

文件清单

• S1 Text.docx（151.03 KB）
• S1 Fig.pdf（13.40 MB）
• S2 Fig.pdf（7.82 MB）
• S1 Table.docx（15.00 KB）
• S2 Table.docx（14.64 KB）
• S3 Table.docx（14.08 KB）
• S4 Table.docx（194.59 KB）
• S5 Table.docx（24.37 KB）
• S6 Table.docx（23.66 KB）

文件总体积 21.65 MB（源站 API 实测）。

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。

数据说明

Autoantibody profiling with a systems medicine approach can help identify critical dysregulated signaling pathways (SPs) in cancers. In this way, immunoglobulins G (IgG) purified from the serum samples of 92 healthy controls, 10 pre-treated (PR) non-Hodgkin lymphoma (NHL) patients, and 20 NHL patients who underwent chemotherapy (PS) were screened with a phage-displayed random peptide library. Protein-protein interaction networks of the PR and PS groups were analyzed and visualized by Gephi. The results indicated AXIN2, SENP2, TOP2A, FZD6, NLK, HDAC2, HDAC1, and EHMT2, in addition to CAMK2A, PLCG1, PLCG2, GRM5, GRIN2B, GRIN2D, CACNA2D3, and SPTAN1 as hubs in 11 and 7 modules of PR and PS networks, respectively. PR- and PS-specific hubs were evaluated in the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome databases. The PR-specific hubs were involved in Wnt SP, signaling by Notch1 in cancer, telomere maintenance, and transcriptional misregulation. In contrast, glutamate receptor SP, Fc receptor-related pathways, growth factors-related SPs, and Wnt SP were statistically significant enriched pathways, based on the pathway analysis of PS hubs. The results revealed that the most PR-specific proteins were associated with events involved in tumor development, while chemotherapy in the PS group was associated with side effects of drugs and/or cancer recurrence. As the findings demonstrated, PR- and PS-specific proteins in this study can be promising therapeutic targets in future studies.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0183969（source: https://plos.figshare.com/articles/dataset/A_systems_medicine_approach_for_finding_target_proteins_affecting_treatment_outcomes_in_patients_with_non-Hodgkin_lymphoma/5396359）。