Search furin in ESCA (Esophageal carcinoma )
| Summary | |
|---|---|
| Symbol | furin |
| Name | furin, paired basic amino acid cleaving enzyme |
| Location | 15q26.1 |
| Locus Group | protein-coding gene |
| Entrez GeneID | 5045 |
| Aliases | SPC1 |
| External Links | Ensembl, HGNC, Uniprot |
| Boxplot of expression for furin in ESCA |
|
Group: different genomic regions, including TSS1500, TSS200, 5'UTR, 1stExon and 3'UTR TSS200: region from -200 nt upstream to the transcription start site (TSS) itself TSS1500: sequence region from -200 to -1,500 nt upstream of the TSS 1stExon: the first exon Body: gene body region Relation To Island: CpG island, CpG island shores (2 kb regions upstream and downstream of the CpG islands) and shelves (2 kb regions upstream and downstream of the CpG island shores) CpG island (CGI): 200bp in length, GC percentage >50%, Observed/expected CpG ratio >60% Shore: Up to 2kb from CpG island, including N_shore (0-2 kb upstream from CGI) and S_shore (0-2 kb downstream from CGI) Shelf: 2-4 kb from CpG island, including N_shelf (2-4 kb upstream from CGI) and S_shelf (2-4 kb downstream from CGI) Open Sea: Isolated CpGs in the genome |
Differentially methylated genes (promoter region).
| Boxplot of DNAm for furin in ESCA |
Pearson and Spearman correlation between methylation of gene promoter and FPKM is calculated.
| Scatter plot of Methylation-Expression for furin in ESCA |
Pearson Correlation |
Spearman Correlation |
Functional Epigenetic Modules (FEM) of protein-protein interactions (PPI) are calculated by FEM algorithm.
There is no modules found for gene furin
Functional Epigenetic Modules (FEM) of Co-Occurrence and Mutual Exclusive (COME) network for genes are calculated by FEM algorithm, and COME is detected by DISCOVER (Discrete Independence Statistic Controlling for Observations with Varying Event Rates) algorithm.
There is no modules found for gene furin
Kaplan-Meier survival analysis.
Website Compatibility: Google Chrome is recommended
Citation: [1] Ding, Wubin, Geng Chen, and Tieliu Shi. "Integrative analysis identifies potential DNA methylation biomarkers for pan-cancer diagnosis and prognosis." Epigenetics 14.1 (2019): 67-80.[ Full Text ]
Citation: [2] Wubin Ding, Jiwei Chen, Guoshuang Feng, Geng Chen, Jun Wu, Yongli Guo, Xin Ni, Tieliu Shi, DNMIVD: DNA methylation interactive visualization database, Nucleic Acids Research, 48(D1), D856-D862.[ Full Text ]
Citation: [3] Ding, W., Feng, G., Hu, Y., Chen, G., & Shi, T. (2020). Co-occurrence and mutual exclusivity analysis of DNA methylation reveals distinct subtypes in multiple cancers. Frontiers in cell and developmental biology, 8, 20.[ Full Text ]
Citation: [2] Wubin Ding, Jiwei Chen, Guoshuang Feng, Geng Chen, Jun Wu, Yongli Guo, Xin Ni, Tieliu Shi, DNMIVD: DNA methylation interactive visualization database, Nucleic Acids Research, 48(D1), D856-D862.[ Full Text ]
Citation: [3] Ding, W., Feng, G., Hu, Y., Chen, G., & Shi, T. (2020). Co-occurrence and mutual exclusivity analysis of DNA methylation reveals distinct subtypes in multiple cancers. Frontiers in cell and developmental biology, 8, 20.[ Full Text ]