哈萨克斯坦食管鳞状细胞癌患者转录组谱与分析(Table1)

哈萨克斯坦食管鳞状细胞癌患者转录组分析数据集,含差异表达、KEGG通路和蛋白互作分析结果表。

NIAID Data Ecosystem
浏览 18
表格esophageal squamous cell carcinomaRNA-seqnext-generation sequencingtranscriptomicsbioinformaticsKazakhstan
Table1_Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan.XLSX

基本信息

模态
表格
大小
0.001837452 GB
许可
CC BY 4.0
创建/更新时间
2026-10-10
版本
v1

资源简介

哈萨克斯坦食管鳞状细胞癌患者转录组谱与分析(Table1)

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 1.84 MB,主题涵盖 esophageal squamous cell carcinoma、RNA-seq、next-generation sequencing、transcriptomics、bioinformatics,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Table1_Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan.XLSX》。配套论文《Comprehensive bioinformatics analysis of the mRNA profile of PLCE1 knockdown in esophageal squamous cell carcinoma》发表于 Molecular Medicine Reports(2017),DOI:10.3892/mmr.2017.7318。源站首次发布:2024-03-18。

【数据内容】

源站原始描述:Esophageal squamous cell carcinoma (ESCC) is the predominant subtype of esophageal cancer in Central Asia, often diagnosed at advanced stages. Understanding population-specific patterns of ESCC is crucial for tailored treatments. This study aimed to unravel ESCC’s genetic basis in Kazakhstani patients and identify potential biomarkers for early diagnosis and targeted therapies. ESCC patients from Kazakhstan were studied. We analyzed histological subtypes and conducted in-depth transcriptome sequ…

中文译文(机器翻译,仅供快速理解,请以原文为准):食管鳞状细胞癌(ESCC)是中亚地区食管癌的主要亚型,

【数据结构与技术规格】

文件数 1 个,合计 1.84 MB。Table1_Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan.XLSX:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,1.84 MB。数据集 DOI:10.3389/fgene.2024.1249751.s001。

【主题与分类】

源站学科分类:Gene and Molecular Therapy、Gene Expression (incl. Microarray and other genome-wide approaches)、Genetics、Genetically Modified Animals、Livestock Cloning、Developmental Genetics (incl. Sex Determination)。主题标签:esophageal squamous cell carcinoma、RNA-seq、next-generation sequencing、transcriptomics、bioinformatics、Kazakhstan。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Table1_Transcriptome_profiling_and_analysis_of_patients_with_esophageal_squamous_cell_carcinoma_from_Kazakhstan_XLSX/25426360

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

规范引用:Sharip, Aigul; Rakhimova, Saule; Molkenov, Askhat; Ashenova, Ainur; Kozhamkulov, Ulan; Akhmetollayev, Ilyas; et al. (2024). Table1_Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan.XLSX. Frontiers. Dataset

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下载信息

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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。

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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 "Table1_Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan.XLSX" "https://ndownloader.figshare.com/files/45100516"

文件清单

  • Table1_Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan.XLSX(1.84 MB)

文件总体积 1.84 MB(源站 API 实测)。

数据说明

Esophageal squamous cell carcinoma (ESCC) is the predominant subtype of esophageal cancer in Central Asia, often diagnosed at advanced stages. Understanding population-specific patterns of ESCC is crucial for tailored treatments. This study aimed to unravel ESCC’s genetic basis in Kazakhstani patients and identify potential biomarkers for early diagnosis and targeted therapies. ESCC patients from Kazakhstan were studied. We analyzed histological subtypes and conducted in-depth transcriptome sequencing. Differential gene expression analysis was performed, and significantly dysregulated pathways were identified using KEGG pathway analysis (p-value < 0.05). Protein-protein interaction networks were constructed to elucidate key modules and their functions. Among Kazakhstani patients, ESCC with moderate dysplasia was the most prevalent subtype. We identified 42 significantly upregulated and two significantly downregulated KEGG pathways, highlighting molecular mechanisms driving ESCC pathogenesis. Immune-related pathways, such as viral protein interaction with cytokines, rheumatoid arthritis, and oxidative phosphorylation, were elevated, suggesting immune system involvement. Conversely, downregulated pathways were associated with extracellular matrix degradation, crucial in cancer invasion and metastasis. Protein-protein interaction network analysis revealed four distinct modules with specific functions, implicating pathways in esophageal cancer development. High-throughput transcriptome sequencing elucidated critical molecular pathways underlying esophageal carcinogenesis in Kazakhstani patients. Insights into dysregulated pathways offer potential for early diagnosis and precision treatment strategies for ESCC. Understanding population-specific patterns is essential for personalized approaches to ESCC management.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fgene.2024.1249751.s001(source: https://frontiersin.figshare.com/articles/dataset/Table1_Transcriptome_profiling_and_analysis_of_patients_with_esophageal_squamous_cell_carcinoma_from_Kazakhstan_XLSX/25426360)。

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