Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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Bioinformatics and Systems Medicine Laboratory Bioinformatics and Systems Medicine Laboratory

Gene Summary

Phenotypic Information (metabolism pathway, cancer, disease, phenome)

Mutations: SVs, CNVs, SNVs

Gene expression: GE, Protein, DEGE, CNV vs GE

Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG

Pharmacological Information: Drug-Gene Network

Cross referenced IDs

Gene Summary for TIMM9
Basic gene info.Gene symbolTIMM9
Gene nametranslocase of inner mitochondrial membrane 9 homolog (yeast)
SynonymsTIM9|TIM9A
CytomapUCSC genome browser: 14q21
Genomic locationchr14 :58875369-58894232
Type of geneprotein-coding
RefGenesNM_012460.2,
Ensembl idENSG00000100575
Descriptionmitochondrial import inner membrane translocase subunit Tim9
Modification date20141207
dbXrefs MIM : 607384
HGNC : HGNC
Ensembl : ENSG00000100575
HPRD : 09574
Vega : OTTHUMG00000140322
ProteinUniProt:
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_TIMM9
BioGPS: 26520
Gene Expression Atlas: ENSG00000100575
The Human Protein Atlas: ENSG00000100575
PathwayNCI Pathway Interaction Database: TIMM9
KEGG: TIMM9
REACTOME: TIMM9
ConsensusPathDB
Pathway Commons: TIMM9
MetabolismMetaCyc: TIMM9
HUMANCyc: TIMM9
RegulationEnsembl's Regulation: ENSG00000100575
miRBase: chr14 :58,875,369-58,894,232
TargetScan: NM_012460
cisRED: ENSG00000100575
ContextiHOP: TIMM9
cancer metabolism search in PubMed: TIMM9
UCL Cancer Institute: TIMM9
Assigned class in ccmGDBC

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Phenotypic Information for TIMM9(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: TIMM9
Familial Cancer Database: TIMM9
* This gene is included in those cancer gene databases.

.

Oncogene 1

Tumor Suppressor gene 2

Cancer Gene Census 3

CancerGenes 4

Network of Cancer Gene 5

Significant driver gene in

Therapeutic Vulnerabilities in Cancer1

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/

check002.gifMetabolic Pathway Description
REACTOME_METABOLISM_OF_PROTEINS

check002.gifOthers
OMIM
Orphanet
DiseaseKEGG Disease: TIMM9
MedGen: TIMM9 (Human Medical Genetics with Condition)
ClinVar: TIMM9
PhenotypeMGI: TIMM9 (International Mouse Phenotyping Consortium)
PhenomicDB: TIMM9

Mutations for TIMM9
* 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.

check002.gifStructural Variants in COSMIC: go to COSMIC mutation histogram

- Statistics for Tissue and Mutation typeTop
- 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'.
SampleSymbol_aChr_aStart_aEnd_aSymbol_bChr_bStart_bEnd_b
ovaryTIMM9chr145888819658888216TIMM9chr145888826558888285
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)

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows TIMM9 related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BM722144CADM11150211115302959115303450TIMM9503543145888995158889991

check002.gifOther DBs for Structural Variants
Structural Variants in Ensembl: go to Ensembl Structural variation
Structural Variants in dbVar: go to dbVar

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check002.gifCopy 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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check002.gifSNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation

 : Non-synonymous mutation, : Synonymous mutation, Circle size denotes number of samples.
Maximum mutation count=2

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=7)
Stat. for Synonymous SNVs
(# total SNVs=0)
There's no s-snv.
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=0)
There's no deleted snv.There's no inserted snv.

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check002.gifTop 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 positionMutation(aa)Unique sampleID count
chr14:58878625-58878625p.Q13Q2
chr14:58877620-58877620p.E26K1
chr14:58877625-58877625p.L24H1
chr14:58877637-58877637p.T20I1
chr14:58878635-58878635p.Q10R1
chr14:58875786-58875786p.A79E1
chr14:58878647-58878647p.P6Q1
chr14:58875825-58875825p.R66T1
chr14:58875845-58875845p.M59I1
chr14:58875846-58875846p.M59T1

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check002.gifSNV Counts per Each Loci in TCGA data

 : non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=1

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample   1  1 2    1  11  
# mutation   1  1 2    1  11  
nonsynonymous SNV   1  1 2    1  1   
synonymous SNV                 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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check002.gifTop 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 PositionMutation(aa)Unique sampleID count
chr14:58878647p.R66T1
chr14:58875825p.S49L1
chr14:58875876p.T47T1
chr14:58875881p.E45G1
chr14:58877562p.E26K1
chr14:58877620p.G19W1
chr14:58877641p.P6Q1

check002.gifOther DBs for Point Mutations
Point Mutation Table of Ensembl: go to Ensembl variation table
Mutation of cBioPortal: go to cBioPortal's Cross-cancer alteration summary

check002.gifCopy Number for TIMM9 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 TIMM9

check002.gifGene 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.

check002.gifDifferential 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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check002.gifCNV vs Gene Expression Plot
* This plots show the correlation between CNV and gene expression.

: Open all plots for all cancer types


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Gene-Gene Network Information
check002.gifCo-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

: Open all plots for all cancer types

ACTR10,APOPT1,SLIRP,C14orf166,C14orf2,CINP,COX16,
COX7C,ERH,FKBP3,GLRX5,MNAT1,NDUFB1,NEDD8,
PSMA3,PSMC1,RPL36AL,RPS13,RPS29,TIMM9,TRMT5
BTF3,C18orf21,EIF2S3,EIF3E,EIF3M,PCBP2,PFDN4,
POLR1D,RPL15,RPL22,RPL30,RPL32,RPL34,RPL35A,
RPS13,RPS15A,RPS24,RPS29,RPS7,RSL24D1,TIMM9

APEX1,ATP5S,DTD2,APOPT1,SLIRP,C14orf166,C14orf2,
CCNB1IP1,CINP,COX16,ERH,FKBP3,HNRNPC,ISCA2,
NEDD8,NGDN,PSMB5,PSMC6,RPS29,TIMM9,TRMT5
ADSL,ASNSD1,BOD1,C11orf57,C12orf29,COMMD10,DNAJC19,
DPH5,EEF1A1P9,HSCB,LYRM1,NMD3,RPL15,RPL24,
RPL5,RPS3A,RPS8,RSL24D1,TIMM9,TMEM218,ZFAND1
check002.gifCo-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

: Open all plots for all cancer types

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check002.gifInteracting Genes (from Pathway Commons)

: Open all interacting genes' information including KEGG pathway for all interacting genes from DAVID

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Pharmacological Information for TIMM9


There's no related Drug.
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Cross referenced IDs for TIMM9
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section

: Open all cross reference information



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