Table3_通过WGCNA和机器学习方法识别胆道闭锁诊断生物标志物和潜在治疗靶点

数据集获取（Figshare）

• 源站标题：Table3_Identification of diagnostic biomarkers and potential therapeutic targets for biliary atresia via WGCNA and machine learning methods.xls
• DOI：10.3389/fped.2024.1339925.s004
• 发布日期：2024-06-26
• 文件数：1 个
• 文件总体积：1.15 MB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table3_Identification_of_diagnostic_biomarkers_and_potential_therapeutic_targets_for_biliary_atresia_via_WGCNA_and_machine_learning_methods_xls/26104426

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curl -L -o "Table3_Identification of diagnostic biomarkers and potential therapeutic targets for biliary atresia via WGCNA and machine learning methods.xls" "https://ndownloader.figshare.com/files/47247265"

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• Table3_Identification of diagnostic biomarkers and potential therapeutic targets for biliary atresia via WGCNA and machine learning methods.xls（1.15 MB）

文件总体积 1.15 MB（源站 API 实测）。

数据说明

Biliary atresia (BA) is a severe and progressive biliary obstructive disease in infants that requires early diagnosis and new therapeutic targets. This study employed bioinformatics methods to identify diagnostic biomarkers and potential therapeutic targets for BA. Our analysis of mRNA expression from Gene Expression Omnibus datasets revealed 3,273 differentially expressed genes between patients with BA and those without BA (nBA). Weighted gene coexpression network analysis determined that the turquoise gene coexpression module, consisting of 298 genes, is predominantly associated with BA. The machine learning method then filtered out the top 2 important genes, CXCL8 and TMSB10, from the turquoise module. The area under receiver operating characteristic curves for TMSB10 and CXCL8 were 0.961 and 0.927 in the training group and 0.819 and 0.791 in the testing group, which indicated a high diagnostic value. Besides, combining TMSB10 and CXCL8, a nomogram with better diagnostic performance was built for clinical translation. Several studies have highlighted the potential of CXCL8 as a therapeutic target for BA, while TMSB10 has been shown to regulate cell polarity, which was related to BA progression. Our analysis with qRT PCR and immunohistochemistry also confirmed the upregulation of TMSB10 at mRNA and protein levels in BA liver samples. These findings highlight the sensitivity of CXCL8 and TMSB10 as diagnostic biomarkers and their potential as therapeutic targets for BA.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fped.2024.1339925.s004（source: https://frontiersin.figshare.com/articles/dataset/Table3_Identification_of_diagnostic_biomarkers_and_potential_therapeutic_targets_for_biliary_atresia_via_WGCNA_and_machine_learning_methods_xls/26104426）。