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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for FBP1 |
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Phenotypic Information for FBP1(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: FBP1 |
Familial Cancer Database: FBP1 |
* This gene is included in those cancer gene databases. |
Oncogene 1 | Significant driver gene in |
cf) number; DB name 1 Oncogene; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long, 2 Tumor Suppressor gene; https://bioinfo.uth.edu/TSGene/, 3 Cancer Gene Census; http://www.nature.com/nrc/journal/v4/n3/abs/nrc1299.html, 4 CancerGenes; http://nar.oxfordjournals.org/content/35/suppl_1/D721.long, 5 Network of Cancer Gene; http://ncg.kcl.ac.uk/index.php, 1Therapeutic Vulnerabilities in Cancer; http://cbio.mskcc.org/cancergenomics/statius/ |
Metabolic Pathway Description | |
KEGG_GLYCOLYSIS_GLUCONEOGENESIS KEGG_FRUCTOSE_AND_MANNOSE_METABOLISM REACTOME_METABOLISM_OF_CARBOHYDRATES REACTOME_GLUCOSE_METABOLISM |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: FBP1 |
MedGen: FBP1 (Human Medical Genetics with Condition) | |
ClinVar: FBP1 | |
Phenotype | MGI: FBP1 (International Mouse Phenotyping Consortium) |
PhenomicDB: FBP1 |
Mutations for FBP1 |
* Under tables are showing count per each tissue to give us broad intuition about tissue specific mutation patterns.You can go to the detailed page for each mutation database's web site. |
Structural Variants in COSMIC: go to COSMIC mutation histogram |
There's no structural variation information in COSMIC data for this gene. |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows FBP1 related fusion information. |
ID | Head Gene | Tail Gene | Accession | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a | Gene_a | qStart_a | qEnd_a | Chromosome_a | tStart_a | tEnd_a |
BF806754 | FBP1 | 13 | 107 | 9 | 97365682 | 97365780 | AHCTF1 | 101 | 283 | 1 | 247075362 | 247075544 |
Other DBs for Structural Variants |
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Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
Mutation type/ Tissue ID | brca | cns | cerv | endome | haematopo | kidn | Lintest | liver | lung | ns | ovary | pancre | prost | skin | stoma | thyro | urina | |||
Total # sample | 1 | 1 |   |   |   | 1 |   |   |   |   |   |   |   |   |   |   |   | |||
GAIN (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
LOSS (# sample) | 1 | 1 |   |   |   | 1 |   |   |   |   |   |   |   |   |   |   |   |
cf) Tissue ID; Tissue type (1; Breast, 2; Central_nervous_system, 3; Cervix, 4; Endometrium, 5; Haematopoietic_and_lymphoid_tissue, 6; Kidney, 7; Large_intestine, 8; Liver, 9; Lung, 10; NS, 11; Ovary, 12; Pancreas, 13; Prostate, 14; Skin, 15; Stomach, 16; Thyroid, 17; Urinary_tract) |
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SNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation |
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Somatic Mutation Counts per Tissue in COSMIC data |
Stat. for Non-Synonymous SNVs (# total SNVs=13) | (# total SNVs=8) |
(# total SNVs=0) | (# total SNVs=0) |
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Top 10 SNVs Having the Most Samples in COSMIC data |
* When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site,primary_histology,mutation(aa),pubmedID. |
GRCh37 position | Mutation(aa) | Unique sampleID count |
chr9:97369151-97369151 | p.A217A | 2 |
chr9:97382677-97382677 | p.S89S | 2 |
chr9:97365813-97365813 | p.M289I | 2 |
chr9:97382635-97382635 | p.A103A | 1 |
chr9:97365773-97365773 | p.V303L | 1 |
chr9:97369155-97369155 | p.Y216C | 1 |
chr9:97382706-97382706 | p.D80N | 1 |
chr9:97365815-97365815 | p.M289L | 1 |
chr9:97369196-97369196 | p.K202K | 1 |
chr9:97382707-97382707 | p.N79N | 1 |
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SNV Counts per Each Loci in TCGA data |
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Point Mutation/ Tissue ID | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
# sample | 1 |   |   | 1 | 4 |   | 1 |   | 3 |   |   | 1 |   |   |   |   | 4 | 5 |   | 3 |
# mutation | 1 |   |   | 1 | 4 |   | 1 |   | 3 |   |   | 1 |   |   |   |   | 4 | 5 |   | 3 |
nonsynonymous SNV | 1 |   |   | 1 | 2 |   |   |   | 1 |   |   | 1 |   |   |   |   | 2 | 2 |   | 2 |
synonymous SNV |   |   |   |   | 2 |   | 1 |   | 2 |   |   |   |   |   |   |   | 2 | 3 |   | 1 |
cf) Tissue ID; Tissue type (1; BLCA[Bladder Urothelial Carcinoma], 2; BRCA[Breast invasive carcinoma], 3; CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], 4; COAD[Colon adenocarcinoma], 5; GBM[Glioblastoma multiforme], 6; Glioma Low Grade, 7; HNSC[Head and Neck squamous cell carcinoma], 8; KICH[Kidney Chromophobe], 9; KIRC[Kidney renal clear cell carcinoma], 10; KIRP[Kidney renal papillary cell carcinoma], 11; LAML[Acute Myeloid Leukemia], 12; LUAD[Lung adenocarcinoma], 13; LUSC[Lung squamous cell carcinoma], 14; OV[Ovarian serous cystadenocarcinoma ], 15; PAAD[Pancreatic adenocarcinoma], 16; PRAD[Prostate adenocarcinoma], 17; SKCM[Skin Cutaneous Melanoma], 18:STAD[Stomach adenocarcinoma], 19:THCA[Thyroid carcinoma], 20:UCEC[Uterine Corpus Endometrial Carcinoma]) |
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Top 10 SNVs Having the Most Samples in TCGA data |
* We represented just top 10 SNVs. When you move the cursor on each content, you can see more deailed mutation information on the Tooltip. Those are primary_site, primary_histology, mutation(aa), pubmedID. |
Genomic Position | Mutation(aa) | Unique sampleID count |
chr9:97367792 | p.R314R,FBP1 | 1 |
chr9:97380079 | p.R111K,FBP1 | 1 |
chr9:97367854 | p.V303L,FBP1 | 1 |
chr9:97380089 | p.D80N,FBP1 | 1 |
chr9:97367856 | p.V288F,FBP1 | 1 |
chr9:97382612 | p.N79N,FBP1 | 1 |
chr9:97369103 | p.V258F,FBP1 | 1 |
chr9:97382706 | p.S63S,FBP1 | 1 |
chr9:97369109 | p.N237I,FBP1 | 1 |
chr9:97382707 | p.E30K,FBP1 | 1 |
Other DBs for Point Mutations |
Copy Number for FBP1 in TCGA |
* Copy number data were extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered on Jan-05-2015. Function ProcessCNAData in TCGA-Assembler package was used to obtain gene-level copy number value which is calculated as the average copy number of the genomic region of a gene. |
cf) Tissue ID[Tissue type]: BLCA[Bladder Urothelial Carcinoma], BRCA[Breast invasive carcinoma], CESC[Cervical squamous cell carcinoma and endocervical adenocarcinoma], COAD[Colon adenocarcinoma], GBM[Glioblastoma multiforme], Glioma Low Grade, HNSC[Head and Neck squamous cell carcinoma], KICH[Kidney Chromophobe], KIRC[Kidney renal clear cell carcinoma], KIRP[Kidney renal papillary cell carcinoma], LAML[Acute Myeloid Leukemia], LUAD[Lung adenocarcinoma], LUSC[Lung squamous cell carcinoma], OV[Ovarian serous cystadenocarcinoma ], PAAD[Pancreatic adenocarcinoma], PRAD[Prostate adenocarcinoma], SKCM[Skin Cutaneous Melanoma], STAD[Stomach adenocarcinoma], THCA[Thyroid carcinoma], UCEC[Uterine Corpus Endometrial Carcinoma] |
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Gene Expression for FBP1 |
Gene Expression in Cancer Cell-lines (CCLE) |
* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
Differential Gene Expression in Primary Tumors (TCGA) |
* Normalized gene expression data of RNASeqV2 was extracted from TCGA using R package TCGA-Assembler. The URLs of all public data files on TCGA DCC data server were gathered at Jan-05-2015. Only eight cancer types have enough normal control samples for differential expression analysis. (t test, adjusted p<0.05 (using Benjamini-Hochberg FDR)) |
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CNV vs Gene Expression Plot |
* This plots show the correlation between CNV and gene expression. |
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Gene-Gene Network Information |
Co-Expressed gene's network Plot |
* Co-Expression network figures were drawn using R package igraph. Only the top 20 genes with the highest correlations were shown. Red circle: input gene, orange circle: cell metabolism gene, sky circle: other gene |
ARFIP2,COQ4,COQ6,FAAH,FBP1,G6PC3,GAMT, GATA3,CCDC183,MDP1,MLPH,MOAP1,NECAB3,OCEL1, P4HTM,PRR15,RAB17,SIGIRR,SPDEF,TMEM141,ZNF467 | AIFM3,ATP6AP1,ATP6V0B,BIK,CCDC159,CLN3,FBP1, GAA,NEU1,P2RX4,RAB17,RNASET2,RNPEP,RPS6KA1, SLC26A11,STXBP2,SULT2B1,TBC1D2,TMED3,TMEM141,VAMP8 | ||||
APOD,CCL17,CD1B,CXorf49B,DMRTB1,DNASE2B,FBP1, FBXO24,SLC25A3P1,GCNT1,LOC388242,LRCH4,MARCO,psiTPTE22, RGS17,RMST,SI,DCSTAMP,TSC22D4,WIPF3,WNT16 | ABCC2,ABCG5,ABCG8,ACE,ALDOB,ERICH4,CYP2D6, DAK,DHDH,DPEP1,FBP1,GSTA1,GSTA2,MGAM, NAT8,NR0B2,REEP6,SHBG,SLC10A2,SLC5A4,TREH |
Co-Expressed gene's Protein-protein interaction Network Plot |
* Co-Expression network figures were drawn using R package igraph. Only the top 20 genes with the highest correlations were shown. Red circle: input gene, orange circle: cell metabolism gene, sky circle: other gene |
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Interacting Genes (from Pathway Commons) |
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Pharmacological Information for FBP1 |
Cross-referenced pharmacological DB IDs from Uniprot |
DB Category | DB Name | DB's ID and Url link |
Drug-Gene Interaction Network |
* Gene Centered Interaction Network. |
* Drug Centered Interaction Network. |
DrugBank ID | Target Name | Drug Groups | Generic Name | Drug Centered Network | Drug Structure |
DB00131 | fructose-1,6-bisphosphatase 1 | approved; nutraceutical | Adenosine monophosphate | ||
DB02778 | fructose-1,6-bisphosphatase 1 | experimental | 2,5-Anhydroglucitol-1,6-Biphosphate | ||
DB02848 | fructose-1,6-bisphosphatase 1 | experimental | {4-[3-(6,7-Diethoxy-Quinazolin-4-Ylamino)-Phenyl]-Thiazol-2-Yl}-Methanol | ||
DB04175 | fructose-1,6-bisphosphatase 1 | experimental | Mdl-29951 | ||
DB04493 | fructose-1,6-bisphosphatase 1 | experimental | Fructose-6-Phosphate | ||
DB07270 | fructose-1,6-bisphosphatase 1 | experimental | N-[7-(3-AMINOPHENYL)-5-METHOXY-1,3-BENZOXAZOL-2-YL]-2,5-DICHLOROBENZENESULFONAMIDE | ||
DB07312 | fructose-1,6-bisphosphatase 1 | experimental | 2,5-DICHLORO-N-(5-CHLORO-1,3-BENZOXAZOL-2-YL)BENZENESULFONAMIDE | ||
DB07321 | fructose-1,6-bisphosphatase 1 | experimental | 2,5-DICHLORO-N-[5-METHOXY-7-(6-METHOXYPYRIDIN-3-YL)-1,3-BENZOXAZOL-2-YL]BENZENESULFONAMIDE | ||
DB08484 | fructose-1,6-bisphosphatase 1 | experimental | 4-AMINO-N-[(2-SULFANYLETHYL)CARBAMOYL]BENZENESULFONAMIDE |
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Cross referenced IDs for FBP1 |
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section |
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