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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for FTCD |
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Phenotypic Information for FTCD(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: FTCD |
Familial Cancer Database: FTCD |
* This gene is included in those cancer gene databases. |
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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_HISTIDINE_METABOLISM REACTOME_METABOLISM_OF_AMINO_ACIDS_AND_DERIVATIVES |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: FTCD |
MedGen: FTCD (Human Medical Genetics with Condition) | |
ClinVar: FTCD | |
Phenotype | MGI: FTCD (International Mouse Phenotyping Consortium) |
PhenomicDB: FTCD |
Mutations for FTCD |
* 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 |
- Statistics for Tissue and Mutation type | Top |
- For Inter-chromosomal Variations |
There's no inter-chromosomal structural variation. |
- For Intra-chromosomal Variations |
* Intra-chromosomal variantions includes 'intrachromosomal amplicon to amplicon', 'intrachromosomal amplicon to non-amplified dna', 'intrachromosomal deletion', 'intrachromosomal fold-back inversion', 'intrachromosomal inversion', 'intrachromosomal tandem duplication', 'Intrachromosomal unknown type', 'intrachromosomal with inverted orientation', 'intrachromosomal with non-inverted orientation'. |
Sample | Symbol_a | Chr_a | Start_a | End_a | Symbol_b | Chr_b | Start_b | End_b |
ovary | FTCD | chr21 | 47575095 | 47575115 | chr16 | 14085746 | 14085766 | |
pancreas | FTCD | chr21 | 47560742 | 47560942 | FTCD | chr21 | 47560310 | 47560510 |
cf) Tissue number; Tissue name (1;Breast, 2;Central_nervous_system, 3;Haematopoietic_and_lymphoid_tissue, 4;Large_intestine, 5;Liver, 6;Lung, 7;Ovary, 8;Pancreas, 9;Prostate, 10;Skin, 11;Soft_tissue, 12;Upper_aerodigestive_tract) |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows FTCD 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 |
AI040520 | ECH1 | 1 | 107 | 19 | 39306064 | 39306170 | FTCD | 107 | 381 | 21 | 47569203 | 47569477 |
Other DBs for Structural Variants |
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Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
There's no copy number variation information in COSMIC data for this gene. |
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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=49) | (# total SNVs=19) |
(# total SNVs=1) | (# total SNVs=1) |
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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 |
chr21:47558473-47558473 | p.A464A | 6 |
chr21:47558552-47558552 | p.A438V | 4 |
chr21:47557200-47557200 | p.V498M | 3 |
chr21:47571838-47571838 | p.R142W | 2 |
chr21:47570403-47570403 | p.Y225H | 2 |
chr21:47574136-47574136 | p.P55P | 2 |
chr21:47571845-47571845 | p.P139P | 2 |
chr21:47570440-47570440 | p.? | 2 |
chr21:47571477-47571477 | p.D211N | 2 |
chr21:47571482-47571482 | p.G209A | 2 |
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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 |   | 3 |   |   | 2 |   | 1 | 1 |   | 4 | 3 |   |   |   | 6 | 3 |   | 8 |
# mutation |   | 1 |   | 3 |   |   | 2 |   | 1 | 1 |   | 4 | 3 |   |   |   | 6 | 2 |   | 10 |
nonsynonymous SNV |   | 1 |   | 3 |   |   | 1 |   | 1 |   |   | 4 | 2 |   |   |   | 3 | 1 |   | 8 |
synonymous SNV |   |   |   |   |   |   | 1 |   |   | 1 |   |   | 1 |   |   |   | 3 | 1 |   | 2 |
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 |
chr21:47570433 | p.P55P,FTCD | 2 |
chr21:47574136 | p.R215G,FTCD | 2 |
chr21:47570436 | p.K427N,FTCD | 1 |
chr21:47574137 | p.G191V,FTCD | 1 |
chr21:47558827 | p.R424M,FTCD | 1 |
chr21:47571482 | p.D161N,FTCD | 1 |
chr21:47574148 | p.T390A,FTCD | 1 |
chr21:47565423 | p.W158C,FTCD | 1 |
chr21:47571509 | p.S311S,FTCD | 1 |
chr21:47574183 | p.Y124H,FTCD | 1 |
Other DBs for Point Mutations |
Copy Number for FTCD 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 FTCD |
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 |
ACSBG1,LINC01554,CHRNB4,DUOXA2,FCN2,FTCD,G6PC, GUSB,ITIH4,LST-3TM12,MAGEB3,MYOM2,NANOG,NOTO, NR1H4,RLN3,RNASE12,SLCO1B1,SPINT3,SULT1B1,TGM7 | ADAM11,AZIN2,ARHGAP33,ATP4A,C20orf203,CEP89,COL23A1, FCHSD1,FTCD,GRIK5,HEMK1,HGFAC,JMJD7-PLA2G4B,LOC150776, LOC349114,NTN5,PAQR6,SEPT5,TRPV1,TSNAXIP1,ZNF335 | ||||
TMEM249,CLEC2L,CT47A2,CT47A6,FTCD,GFRA3,LOC100287704, NF1P1,NOBOX,OR4N2,OR4N4,OR51B6,OR51F2,OR52E6, POM121L12,PTH2R,STRA8,TNP1,TUBA3C,ZNF716,ZSCAN10 | C9orf24,CPS1,CYP4A11,DAB1,DFNA5,FTCD,HOXC11, HOXC8,KHK,LRAT,OAT,PDZD7,PHYHIPL,PMP22, RHOBTB2,SEC14L2,SUSD2,TIAM2,TM4SF4,TMPRSS15,TNFSF15 |
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 FTCD |
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 |
DB00114 | formimidoyltransferase cyclodeaminase | nutraceutical | Pyridoxal Phosphate | ||
DB00116 | formimidoyltransferase cyclodeaminase | approved; nutraceutical | Tetrahydrofolic acid | ||
DB00142 | formimidoyltransferase cyclodeaminase | approved; nutraceutical | L-Glutamic Acid | ||
DB03256 | formimidoyltransferase cyclodeaminase | experimental | 5-Formyl-5,6,7,8-Tetrahydrofolate | ||
DB00117 | formimidoyltransferase cyclodeaminase | approved; nutraceutical | L-Histidine |
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Cross referenced IDs for FTCD |
* 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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