类淋巴系统功能障碍中的精准医学靶点:基因组与分子视角

基于基因组与分子视角,识别类淋巴系统功能障碍的遗传位点及TMEM106B突变影响,为精准医学提供靶点。

Figshare
2026-03-24 更新
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基因组wide significant lociwide association studiesultimately impairing functionthermodynamic stability analysisremains poorly understoodrelated component informationone significant genemultiple post genomeinnovatively integrated aiinfluencing dynamic behavioridentifying new targetsbased dynamics simulation
Precision Medicine Targets in Glymphatic System Dysfunction: A Genomic and Molecular Perspective

基本信息

模态
基因组
大小
0.000193593 GB
许可
CC BY-NC 4.0
创建/更新时间
2026-03-24
版本
v1

资源简介

类淋巴系统功能障碍中的精准医学靶点:基因组与分子视角

【数据集背景】

本数据集源站标题为《Precision Medicine

Targets in Glymphatic System Dysfunction:

A Genomic and Molecular Perspective》。配套论文《Precision Medicine Targets in Glymphatic System Dysfunction: A Genomic and Molecular Perspective》发表于 ACS Chemical Neuroscience(2026),DOI:10.1021/acschemneuro.5c00962。源站首次发布:2026-03-24。

【数据内容】

源站原始描述:The genetic basis of traits linked to glymphatic system dysfunction (GSd) remains poorly understood. Using Genomic Structural Equation Modeling (Genomic-SEM) and multiple post Genome-Wide Association Studies (GWAS) methods, we identified four potentially genome-wide significant loci and one significant gene (Transmembrane protein 106B, TMEM106B). Transcriptome-wide analyses identified susceptibility gene signaling loci and related component information, and a multigene score assessed GSd risk ac…

【数据结构与技术规格】

文件数 1 个,合计 193.59 KB。cn5c00962_si_002.zip:application/zip,193.59 KB。数据集 DOI:10.1021/acschemneuro.5c00962.s002。

【主题与分类】

源站学科分类:Medicine、Genetics、Pharmacology、Biotechnology、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified。主题标签:wide significant loci、wide association studies、ultimately impairing function、thermodynamic stability analysis、remains poorly understood、related component information、one significant gene、multiple post genome、innovatively integrated ai、influencing dynamic behavior。

【适用方向】

组学数据适用于生物标志物发现与分子分型相关建模研究。

【获取与许可】

源站页面:https://acs.figshare.com/articles/dataset/Precision_Medicine_Targets_in_Glymphatic_System_Dysfunction_A_Genomic_and_Molecular_Perspective/31843007

使用许可:CC BY-NC 4.0(https://creativecommons.org/licenses/by-nc/4.0/)。

规范引用:Wang, Qihao; Gao, Luqi; Yang, Xiaoshan; Chen, Bo; Li, Wenchen; Wang, Haifeng (2026). Precision Medicine Targets in Glymphatic System Dysfunction: A Genomic and Molecular Perspective. ACS Publications. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "cn5c00962_si_002.zip" "https://ndownloader.figshare.com/files/63055619"

文件清单

  • cn5c00962_si_002.zip(193.59 KB)

文件总体积 193.59 KB(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

The genetic basis of traits linked to glymphatic system
dysfunction
(GSd) remains poorly understood. Using Genomic Structural Equation
Modeling (Genomic-SEM) and multiple post Genome-Wide Association Studies
(GWAS) methods, we identified four potentially genome-wide significant
loci and one significant gene (Transmembrane protein 106B, TMEM106B).
Transcriptome-wide analyses identified susceptibility gene signaling
loci and related component information, and a multigene score assessed
GSd risk across chromosomes. Although TMEM106B is linked to neurological
disorders, the molecular mechanisms of its missense variants remain
unclear. We innovatively integrated AI-powered high-precision structural
prediction, protein-model-based dynamics simulation, and thermodynamic
stability analysis. This systematically revealed, for the first time,
how the TMEM106B mutations (T185I, T185N, and T185S) potentially affect
the glymphatic system: by disrupting protein structural integrity
and influencing dynamic behavior, ultimately impairing function. Our
study provides the first panoramic view of GSd’s genetic structure,
offering a vital theoretical basis for understanding the glymphatic
system dysfunction pathogenesis and identifying new targets for precision
medicine and pharmacological interventions.

许可

CC BY-NC 4.0

引用

学术使用请引用 DOI 10.1021/acschemneuro.5c00962.s002(source: https://acs.figshare.com/articles/dataset/Precision_Medicine_Targets_in_Glymphatic_System_Dysfunction_A_Genomic_and_Molecular_Perspective/31843007)。

数据缺失?

依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

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