MUT-MAP突变扫描数据集
基于MUT-MAP高通量微流控芯片方法检测六个癌症基因(EGFR、KRAS等)的71种突变,数据来自细胞系、临床样本和临床试验,用于癌症生物标志物研究。

基本信息
资源简介
MUT-MAP突变扫描数据集
【数据集背景】
本数据集源站标题为《Mutation Scanning Using MUT-MAP, a High-Throughput, Microfluidic Chip-Based, Multi-Analyte Panel》。配套论文《Mutation Scanning Using MUT-MAP, a High-Throughput, Microfluidic Chip-Based, Multi-Analyte Panel》发表于 PLoS ONE(2012),DOI:10.1371/journal.pone.0051153。源站首次发布:2012-12-17。
【数据内容】
源站原始描述:Targeted anticancer therapies rely on the identification of patient subgroups most likely to respond to treatment. Predictive biomarkers play a key role in patient selection, while diagnostic and prognostic biomarkers expand our understanding of tumor biology, suggest treatment combinations, and facilitate discovery of novel drug targets. We have developed a high-throughput microfluidics method for mutation detection (MUT-MAP, mutation multi-analyte panel) based on TaqMan or allele-specific PCR…
【数据结构与技术规格】
文件数 2 个,合计 36.83 KB。Table_S1.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,16.21 KB。Table_S2.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,20.62 KB。数据集 DOI:10.1371/journal.pone.0051153。
【主题与分类】
源站学科分类:Cancer、Genetics。主题标签:mutation、scanning、microfluidic、multi-analyte、panel。
【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://plos.figshare.com/articles/dataset/Mutation_Scanning_Using_MUT_MAP_a_High_Throughput_Microfluidic_Chip_Based_Multi_Analyte_Panel__/115845
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Patel, Rajesh; Tsan, Alison; Tam, Rachel; Desai, Rupal; Schoenbrunner, Nancy; Myers, Thomas W.; et al. (2016). Mutation Scanning Using MUT-MAP, a High-Throughput, Microfluidic Chip-Based, Multi-Analyte Panel. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-05-31,引用时请注意版本时效。
下载信息
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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)
- 源站标题:Mutation Scanning Using MUT-MAP, a High-Throughput, Microfluidic Chip-Based, Multi-Analyte Panel
- DOI:10.1371/journal.pone.0051153
- 发布日期:2012-12-17
- 文件数:2 个
- 文件总体积:36.83 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Mutation_Scanning_Using_MUT_MAP_a_High_Throughput_Microfluidic_Chip_Based_Multi_Analyte_Panel__/115845
命令行下载
curl -L -o "Table_S1.docx" "https://ndownloader.figshare.com/files/283207"
curl -L -o "Table_S2.docx" "https://ndownloader.figshare.com/files/283254"
文件清单
Table_S1.docx(16.21 KB)Table_S2.docx(20.62 KB)
文件总体积 36.83 KB(源站 API 实测)。
数据说明
Targeted anticancer therapies rely on the identification of patient subgroups most likely to respond to treatment. Predictive biomarkers play a key role in patient selection, while diagnostic and prognostic biomarkers expand our understanding of tumor biology, suggest treatment combinations, and facilitate discovery of novel drug targets. We have developed a high-throughput microfluidics method for mutation detection (MUT-MAP, mutation multi-analyte panel) based on TaqMan or allele-specific PCR (AS-PCR) assays. We analyzed a set of 71 mutations across six genes of therapeutic interest. The six-gene mutation panel was designed to detect the most common mutations in the EGFR, KRAS, PIK3CA, NRAS, BRAF, and AKT1 oncogenes. The DNA was preamplified using custom-designed primer sets before the TaqMan/AS-PCR assays were carried out using the Biomark microfluidics system (Fluidigm; South San Francisco, CA). A cross-reactivity analysis enabled the generation of a robust automated mutation-calling algorithm which was then validated in a series of 51 cell lines and 33 FFPE clinical samples. All detected mutations were confirmed by other means. Sample input titrations confirmed the assay sensitivity with as little as 2 ng gDNA, and demonstrated excellent inter- and intra-chip reproducibility. Parallel analysis of 92 clinical trial samples was carried out using 2–100 ng genomic DNA (gDNA), allowing the simultaneous detection of multiple mutations. DNA prepared from both fresh frozen and formalin-fixed, paraffin-embedded (FFPE) samples were used, and the analysis was routinely completed in 2–3 days: traditional assays require 0.5–1 µg high-quality DNA, and take significantly longer to analyze. This assay can detect a wide range of mutations in therapeutically relevant genes from very small amounts of sample DNA. As such, the mutation assay developed is a valuable tool for high-throughput biomarker discovery and validation in personalized medicine and cancer drug development.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0051153(source: https://plos.figshare.com/articles/dataset/Mutation_Scanning_Using_MUT_MAP_a_High_Throughput_Microfluidic_Chip_Based_Multi_Analyte_Panel__/115845)。
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。
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