IHGA: An interactive web server for large-scale and comprehensive discovery of genes of interest in hepatocellular carcinoma

Zhang, Qiangnu1,2; Hu, Weibin3; Xiong, Lingfeng4; Wen, Jin5; Wei, Teng6; Yan, Lesen1; Liu, Quan7; Zhu, Siqi7; Bai, Yu1; Zeng, Yuandi1; Yin, Zexin1; Yang, Jilin1; Zhang, Wenjian1; Wu, Meilong1; Zhang, Yusen1; Peng, Gongze1; Bao, Shiyun1; Liu, Liping1

2023

10.1016/j.csbj.2023.08.003

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL   Impact Factor & Quartile

2001-0370

Mining gene expression data is valuable for discovering novel biomarkers and therapeutic targets in hepatocellular carcinoma (HCC). Although emerging data mining tools are available for pan-cancer-related gene data analysis, few tools are dedicated to HCC. Moreover, tools specifically designed for HCC have restrictions such as small data scale and limited functionality. Therefore, we developed IHGA, a new interactive web server for discovering genes of interest in HCC on a large-scale and comprehensive basis. Integrative HCC Gene Analysis (IHGA) contains over 100 independent HCC patient-derived datasets (with over 10,000 tissue samples) and more than 90 cell models. IHGA allows users to conduct a series of large-scale and comprehensive analyses and data visualizations based on gene mRNA levels, including expression comparison, correlation analysis, clinical characteristics analysis, survival analysis, immune system interaction analysis, and drug sensitivity analysis. This method notably enhanced the richness of clinical data in IHGA. Additionally, IHGA integrates artificial intelligence (AI)-assisted gene screening based on natural language models. IHGA is free, user-friendly, and can effectively reduce time spent during data collection, organization, and analysis. In conclusion, IHGA is competitive in terms of data scale, data diversity, and functionality. It effectively alleviates the obstacles caused by HCC heterogeneity to data mining work and helps advance research on the molecular mechanisms of HCC.

Hepatocellular carcinoma Data mining Gene expression profile Prognosis Web tools

SCI

English

First ; Corresponding

China Postdoctoral Science Foundation[2021M701426] ; GuangDong Basic and Applied Basic Research Foundation[2022A1515110283] ; Shenzhen Science and Technology Innovation Commission Foundation["JCYJ20190806160412946","JCYJ20210324113008022"] ; National Natural Science Foundation of China["82002956","8140204"] ; Shenzhen Key Medical Discipline Construction Fund[SZXK015] ; Training Program for cultivating clinical physician-scientists of Shenzhen People's Hospital[SYWGSJCYJ202203]

Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology

Biochemistry & Molecular Biology ; Biotechnology & Applied Microbiology

WOS:001058780900001

ELSEVIER

Web of Science

1.Southern Univ Sci & Technol, Jinan Univ, Affiliated Hosp 1, Shenzhen Peoples Hosp,Dept Gen Surg,Div Hepatobili, 1017 Dongmen Bei Lu, Shenzhen 518020, Peoples R China
2.Jinan Univ, Integrated Chinese & Western Med Postdoctoral Res, Guangzhou 510632, Peoples R China
3.South China Normal Univ, Inst Brain Res & Rehabil, Key Lab Brain Cognit & Educ Sci, Minist Educ, Guangzhou 510631, Peoples R China
4.Guangdong Pharmaceut Univ, Dept Hepatobiliary Surg, Affiliated Hosp 1, Guangzhou 510632, Peoples R China
5.Southern Univ Sci & Technol, Jinan Univ, Affiliated Hosp 1, Shenzhen Peoples Hosp,Dept Neurol,Clin Med Coll 2, Shenzhen 518020, Peoples R China
6.Southern Univ Sci & Technol, Jinan Univ, Affiliated Hosp 1, Shenzhen Peoples Hosp,Cytotherapy Lab,Clin Med Col, Shenzhen 518020, Peoples R China
7.Huazhong Univ Sci & Technol, Union Shenzhen Hosp, Nanshan Hosp, Lab Med Ctr, Shenzhen 518000, Peoples R China

Zhang, Qiangnu,Hu, Weibin,Xiong, Lingfeng,et al. IHGA: An interactive web server for large-scale and comprehensive discovery of genes of interest in hepatocellular carcinoma[J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL,2023,21.

Zhang, Qiangnu.,Hu, Weibin.,Xiong, Lingfeng.,Wen, Jin.,Wei, Teng.,...&Liu, Liping.(2023).IHGA: An interactive web server for large-scale and comprehensive discovery of genes of interest in hepatocellular carcinoma.COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL,21.

Zhang, Qiangnu,et al."IHGA: An interactive web server for large-scale and comprehensive discovery of genes of interest in hepatocellular carcinoma".COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL 21(2023).