用于个性化幽门螺杆菌根除治疗的多物种靶向下一代测序面板开发与验证的数据表1

包含幽门螺杆菌个性化根除治疗测序面板的构建、验证数据及12例受试者的抗生素耐药变异与代谢表型信息。

NIAID Data Ecosystem
浏览 35
基因组individual antibiotic resistance profileantibiotic resistance
Data Sheet 1_Development and validation of next-generation sequencing panel for personalized Helicobacter pylori eradication treatment targeting multiple species.docx

基本信息

模态
基因组
大小
0.000916039 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

用于个性化幽门螺杆菌根除治疗的多物种靶向下一代测序面板开发与验证的数据表1

【一句话概览】

本数据集是 figshare 公开的组学数据集,收录 1 个文件、合计 916.04 KB,主题涵盖 individual antibiotic resistance profile、antibiotic resistance,可用于生物标志物发现与分子分型研究,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Data Sheet 1_Development and validation of next-generation sequencing panel for personalized Helicobacter pylori eradication treatment targeting multiple species.docx》。配套论文《Helicobacter pylori: A Contemporary Perspective on Pathogenesis, Diagnosis and Treatment Strategies》发表于 Microorganisms(2024),DOI:10.3390/microorganisms12010222。源站首次发布:2024-10-25。

【数据内容】

源站原始描述:IntroductionThe decreasing Helicobacter pylori eradication rate is primarily attributed to antibiotic resistance, and further exacerbated by uniform drug administration disregarding a host’s metabolic capability. Consequently, applying personalized treatment based on antibiotic resistance-associated variants and the host’s metabolic phenotype can potentially increase the eradication rate. MethodA custom next-generation sequencing panel for personalized H. pylori eradication treatment (NGS-PHET)…

【数据结构与技术规格】

文件数 1 个,合计 916.04 KB。Data Sheet 1_Development and validation of next-generation sequencing panel for personalized Helicobacter pylori eradication treatment targeting multi.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,916.04 KB。数据集 DOI:10.3389/fcimb.2024.1379790.s001。

【主题与分类】

源站学科分类:Clinical Microbiology。主题标签:individual antibiotic resistance profile、antibiotic resistance。

【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://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Development_and_validation_of_next-generation_sequencing_panel_for_personalized_Helicobacter_pylori_eradication_treatment_targeting_multiple_species_docx/27301977

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

规范引用:Min, Byung-Joo; Seo, Myung-Eui; Bae, Jung Ho; Kim, Ji Won; Kim, Ju Han (2024). Data Sheet 1_Development and validation of next-generation sequencing panel for personalized Helicobacter pylori eradication treatment targeting multiple species.docx. Frontiers. 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。

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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 "Data Sheet 1_Development and validation of next-generation sequencing panel for personalized Helicobacter pylori eradication treatment targeting multi.docx" "https://ndownloader.figshare.com/files/49988133"

文件清单

  • Data Sheet 1_Development and validation of next-generation sequencing panel for personalized Helicobacter pylori eradication treatment targeting multi.docx(916.04 KB)

文件总体积 916.04 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

IntroductionThe decreasing Helicobacter pylori eradication rate is primarily attributed to antibiotic resistance, and further exacerbated by uniform drug administration disregarding a host’s metabolic capability. Consequently, applying personalized treatment based on antibiotic resistance-associated variants and the host’s metabolic phenotype can potentially increase the eradication rate.
MethodA custom next-generation sequencing panel for personalized H. pylori eradication treatment (NGS-PHET) was designed which targeted the regions for amoxicillin, clarithromycin, metronidazole, tetracycline, and levofloxacin-resistance in H. pylori and human proton-pump inhibitor (PPI) metabolism. The libraries were constructed following customized methods and sequenced simultaneously. The customized framework criteria, grounded in previously reported antibiotic resistance associated variants and the host’s PPI metabolism, was applied to the NGS-PHET results and suggested a personalized treatment for each subject, which was validated through each subject’s actual eradication outcome.
ResultsBoth previously reported and novel variants were identified from H. pylori sequencing results. Concurrently, five CYP2C19 homozygous extensive metabolizers and three CYP3A4 intermediate metabolizers were identified. Among the total of 12 subjects, clarithromycin triple therapy was suggested for five subjects, bismuth quadruple therapy was suggested for six subjects, and rifabutin triple therapy was suggested for one subject by following the customized framework criteria. The treatment suggestion for nine of the 12 subjects was consistent with the treatment that each subject achieved eradication with.
DiscussionApplying the methodology using the NGS-PHET and customized framework helps to perform eradication treatment quickly and effectively in most patients with antibiotic-resistant H. pylori strains, and is also useful in research to find novel antibiotic-resistance candidates.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fcimb.2024.1379790.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Development_and_validation_of_next-generation_sequencing_panel_for_personalized_Helicobacter_pylori_eradication_treatment_targeting_multiple_species_docx/27301977)。

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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