1. Search Database
1.1 Simple search
Users can search GPCR based on terms of Gene Symbol, Alias, Gene Name, Ensembl ID, GeneCards ID, HGNC ID, NCBI Gene ID, Uniprot ID.
1.2 Cancer Type search
Users can search cancer types from different source and cancer types/tissue sources.
2. Browse all GPCRs by
2.1 Cancer type
Users can browse all GPCRs in specific cancer type from given cancer sample source, summary of all GPCRs in one specific cancer type can be shown in table below.
2.2 Non-silent mutation rate
Browse non-silent mutation rate of GPCRs in primary tumor tissues and cancer cell lines.
2.3 Differential expression analysis
3. Information for G protein-coupled receptors (GPCRs)
3.1 RNA expression
Users can check GPCR RNA expression level in normal and tumor tissues as well as cancer cell lines. Differential expression analysis was conducted for cancers with more than three normal tissues samples. The columns of status show whether the GPCR is differentially expressed. The plot bottom demonstrates violin plot between normal and tumor samples.
Users can browse mutation landscape of GPCRs in primary tumor tissue or cancer cell lines of specific cancer type. For the single primary tumor, data from TCGA, CCLE and COSMIC as well as publication data was collected for GPCR mutation mining.
3.3 Semantic copy number alteration (SCNA)
Users can explore the correlation between copy number and gene expression level. The columns of Loss, Gain and Neutral represents the percentage of patients with -1/2, 0, and +1/2 copy number threshold based on GISTIC results. Details could be checked in the result information page of SCNA.
Users can explore the DNA methylation level of GPCR gene promoter region as well as correlation between methylation and RNA expression level from TCGA. The column of delta beta value and P-value shows the difference of methylation level between tumor and normal samples.
3.5 Post-translation modification (PTM)
Users can check the post-translation modification site of GPCRs and whether they are affected by mutation by selecting the items as shown in the table below.
The proteomics data for primary tumor tissue from TCGA and normal tissue from HPA was analysis and shown in the following tables.
The correlation between RNA expression level and clinical data (overall survival, stage) in pancancer level was analyzed. The KM plot and boxplot of expression level could be checked by clicking plot bottom.
Users can explore the drugs targeting current GPCR as well as the targets of the drugs. The table below includes drug name, type, targets, reference paper and other outer links.
Users can explore the GPCR related interactions: (1) protein-protein interactions; (2) miRNA-GPCR regulatory relations. In the PPI network, central node represents current GPCR and the surrounding nodes represent the proteins interacted with the GPCR. The table below includes mutation rate of GPCR and the mutation rate of interacted proteins. In the miRNA regulatory network, the central node means GPCR and other nodes represent miRNAs which regulate current GPCR expression.
Users can download multiple source data from different databases, such as GPCR information, TCGA gene expression, CCLE RNA expression, HPA RNA expression, TCGA somatic mutation data, COSMIC Mutation data ans so on.