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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for FTMT |
Basic gene info. | Gene symbol | FTMT |
Gene name | ferritin mitochondrial | |
Synonyms | MTF | |
Cytomap | UCSC genome browser: 5q21.3 | |
Genomic location | chr5 :121187649-121188523 | |
Type of gene | protein-coding | |
RefGenes | NM_177478.1, | |
Ensembl id | ENSG00000181867 | |
Description | ferritin H subunitferritin, mitochondrialmitochondrial ferritin | |
Modification date | 20141207 | |
dbXrefs | MIM : 608847 | |
HGNC : HGNC | ||
Ensembl : ENSG00000181867 | ||
HPRD : 12316 | ||
Vega : OTTHUMG00000128912 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_FTMT | |
BioGPS: 94033 | ||
Gene Expression Atlas: ENSG00000181867 | ||
The Human Protein Atlas: ENSG00000181867 | ||
Pathway | NCI Pathway Interaction Database: FTMT | |
KEGG: FTMT | ||
REACTOME: FTMT | ||
ConsensusPathDB | ||
Pathway Commons: FTMT | ||
Metabolism | MetaCyc: FTMT | |
HUMANCyc: FTMT | ||
Regulation | Ensembl's Regulation: ENSG00000181867 | |
miRBase: chr5 :121,187,649-121,188,523 | ||
TargetScan: NM_177478 | ||
cisRED: ENSG00000181867 | ||
Context | iHOP: FTMT | |
cancer metabolism search in PubMed: FTMT | ||
UCL Cancer Institute: FTMT | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for FTMT(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: FTMT |
Familial Cancer Database: FTMT |
* 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_PORPHYRIN_AND_CHLOROPHYLL_METABOLISM |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: FTMT |
MedGen: FTMT (Human Medical Genetics with Condition) | |
ClinVar: FTMT | |
Phenotype | MGI: FTMT (International Mouse Phenotyping Consortium) |
PhenomicDB: FTMT |
Mutations for FTMT |
* 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 FTMT 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 |
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=68) | (# total SNVs=23) |
(# total SNVs=1) | (# 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 |
chr5:121187845-121187845 | p.A63S | 3 |
chr5:121187974-121187974 | p.V106L | 3 |
chr5:121188192-121188192 | p.H178H | 3 |
chr5:121187736-121187736 | p.F26F | 2 |
chr5:121187738-121187738 | p.A27V | 2 |
chr5:121188335-121188335 | p.A226V | 2 |
chr5:121187739-121187739 | p.A27A | 2 |
chr5:121188017-121188017 | p.R120Q | 2 |
chr5:121187852-121187852 | p.P65L | 2 |
chr5:121187928-121187928 | p.A90A | 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 | 1 | 8 | 5 |   | 6 | 1 | 2 | 2 |   | 12 | 6 | 1 |   |   | 8 | 5 |   | 11 |
# mutation |   | 1 | 1 | 8 | 5 |   | 6 | 1 | 2 | 2 |   | 12 | 9 | 1 |   |   | 10 | 5 |   | 10 |
nonsynonymous SNV |   |   |   | 6 | 4 |   | 4 | 1 | 2 | 1 |   | 7 | 7 | 1 |   |   | 6 | 3 |   | 7 |
synonymous SNV |   | 1 | 1 | 2 | 1 |   | 2 |   |   | 1 |   | 5 | 2 |   |   |   | 4 | 2 |   | 3 |
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 |
chr5:121188162 | p.A90A | 2 |
chr5:121187974 | p.A52A | 2 |
chr5:121188335 | p.V106M | 2 |
chr5:121187716 | p.D151D | 2 |
chr5:121187814 | p.A226V | 2 |
chr5:121188111 | p.D152N | 2 |
chr5:121188112 | p.R20C | 2 |
chr5:121187928 | p.K168N | 2 |
chr5:121187841 | p.R31C | 1 |
chr5:121188134 | p.R82R | 1 |
Other DBs for Point Mutations |
Copy Number for FTMT 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 FTMT |
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 |
AIMP1,AMBN,C9orf170,CA6,CAPZA3,EFNA5,FTMT, IAPP,INSL5,KCNJ16,LEPREL1,LOC100302401,NCALD,NECAB2, PHGDH,PROL1,RGS2,RNLS,SOX10,TFAP2E,UGT1A8 | B3GNT3,BCL11A,C10orf90,CDCA7L,CRABP1,ELL3,EPHB3, FAM81A,FOLH1,FTMT,HAPLN3,IRX1,KCNN4,MFGE8, NEURL3,PIGR,SLC13A2,SOX10,SOX8,TGFA,TTYH1 |
AKAP4,CACNA1E,CLEC3A,CNBD1,FAM24A,FTMT,KRT2, LCTL,LOC284551,LOC285401,OPTC,OR2M3,OR6C65,OTUD6A, PLB1,PPBP,PPBPP2,SERPINB4,SLC7A13,TNFRSF11B,TRDN | C15orf32,C2orf78,FAM9B,FTMT,GOLGA6L1,HP,HTR1A, IQCF3,LCE1E,MAGEC3,MOGAT1,ORM1,ORM2,PRINS, PRR25,SCGB2A2,SNORA71C,SPINK6,TPD52L3,UBE2DNL,UBQLN3 |
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 FTMT |
There's no related Drug. |
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Cross referenced IDs for FTMT |
* 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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