| URL: | http://lifeome.net/database/hccdb2 |
| Full name: | hepatocellular carcinoma database |
| Description: | Hepatocellular carcinoma (HCC) is one of the most common primary liver cancers with worse prognosis, strong tumor aggressiveness, and prominent inter- and intra-tumor heterogeneity. With the aim to provide an easier access to comprehensive transcriptomic data for non-specialties, we released the HCCDB, a web-based transcriptomic database of HCC. The HCCDB v2.0 has added 11 new bulk transcriptomic datasets with 6 new clinical phenotypes to the 15 datasets in the original version. Most importantly, the highlight of this update is the newly integrated single-cell and spatial transcriptomic data decomposing the expression variations at the bulk level. |
| Year founded: | 2018 |
| Last update: | 2022 |
| Version: | V2.0 |
| Accessibility: |
Accessible
|
| Country/Region: | China |
| Data type: | |
| Data object: | |
| Database category: | |
| Major species: | |
| Keywords: |
| University/Institution: | Tsinghua University |
| Address: | |
| City: | Beijing |
| Province/State: | Beijing |
| Country/Region: | China |
| Contact name (PI/Team): | Jin Gu |
| Contact email (PI/Helpdesk): | jgu@tsinghua.edu.cn |
|
HCCDB: A Database of Hepatocellular Carcinoma Expression Atlas. [PMID: 30266410]
Hepatocellular carcinoma (HCC) is highly heterogeneous in nature and has been one of the most common cancer types worldwide. To ensure repeatability of identified gene expression patterns and comprehensively annotate the transcriptomes of HCC, we carefully curated 15 public HCC expression datasets that cover around 4000 clinical samples and developed the database HCCDB to serve as a one-stop online resource for exploring HCC gene expression with user-friendly interfaces. The global differential gene expression landscape of HCC was established by analyzing the consistently differentially expressed genes across multiple datasets. Moreover, a 4D metric was proposed to fully characterize the expression pattern of each gene by integrating data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx). To facilitate a comprehensive understanding of gene expression patterns in HCC, HCCDB also provides links to third-party databases on drug, proteomics, and literatures, and graphically displays the results from computational analyses, including differential expression analysis, tissue-specific and tumor-specific expression analysis, survival analysis, and co-expression analysis. HCCDB is freely accessible at http://lifeome.net/database/hccdb. |