|
Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for AK1 |
Basic gene info. | Gene symbol | AK1 |
Gene name | adenylate kinase 1 | |
Synonyms | HTL-S-58j | |
Cytomap | UCSC genome browser: 9q34.1 | |
Genomic location | chr9 :130628758-130640022 | |
Type of gene | protein-coding | |
RefGenes | NM_000476.2, | |
Ensembl id | ENSG00000106992 | |
Description | AK 1ATP-AMP transphosphorylase 1ATP:AMP phosphotransferaseadenylate kinase isoenzyme 1adenylate monophosphate kinasemyokinasetestis secretory sperm binding protein Li 58j | |
Modification date | 20141207 | |
dbXrefs | MIM : 103000 | |
HGNC : HGNC | ||
Ensembl : ENSG00000106992 | ||
HPRD : 00046 | ||
Vega : OTTHUMG00000020722 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_AK1 | |
BioGPS: 203 | ||
Gene Expression Atlas: ENSG00000106992 | ||
The Human Protein Atlas: ENSG00000106992 | ||
Pathway | NCI Pathway Interaction Database: AK1 | |
KEGG: AK1 | ||
REACTOME: AK1 | ||
ConsensusPathDB | ||
Pathway Commons: AK1 | ||
Metabolism | MetaCyc: AK1 | |
HUMANCyc: AK1 | ||
Regulation | Ensembl's Regulation: ENSG00000106992 | |
miRBase: chr9 :130,628,758-130,640,022 | ||
TargetScan: NM_000476 | ||
cisRED: ENSG00000106992 | ||
Context | iHOP: AK1 | |
cancer metabolism search in PubMed: AK1 | ||
UCL Cancer Institute: AK1 | ||
Assigned class in ccmGDB | C |
Top |
Phenotypic Information for AK1(metabolism pathway, cancer, disease, phenome) |
![]() | |
Cancer | CGAP: AK1 |
Familial Cancer Database: AK1 |
* 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/ |
![]() | |
KEGG_PURINE_METABOLISM REACTOME_METABOLISM_OF_NUCLEOTIDES |
![]() | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: AK1 |
MedGen: AK1 (Human Medical Genetics with Condition) | |
ClinVar: AK1 | |
Phenotype | MGI: AK1 (International Mouse Phenotyping Consortium) |
PhenomicDB: AK1 |
Mutations for AK1 |
* 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. |
![]() |
There's no structural variation information in COSMIC data for this gene. |
![]() |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows AK1 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 |
![]() |
Top |
![]() |
There's no copy number variation information in COSMIC data for this gene. |
Top |
![]() |
|
![]() |
Top |
![]() |
Stat. for Non-Synonymous SNVs (# total SNVs=10) | (# total SNVs=6) |
![]() | ![]() |
(# total SNVs=0) | (# total SNVs=0) |
Top |
![]() |
* 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 |
chr9:130634196-130634196 | p.R77L | 2 |
chr9:130634103-130634103 | p.R108L | 2 |
chr9:130630298-130630298 | p.A192T | 1 |
chr9:130634110-130634110 | p.E106K | 1 |
chr9:130630299-130630299 | p.D191D | 1 |
chr9:130634130-130634130 | p.V99G | 1 |
chr9:130630320-130630320 | p.S184S | 1 |
chr9:130634138-130634138 | p.P96P | 1 |
chr9:130630328-130630328 | p.V182L | 1 |
chr9:130630633-130630633 | p.I161I | 1 |
Top |
![]() |
|
![]() |
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 |   |   | 1 |   |   |   |   | 2 |   | 2 |   | 1 |   | 1 |   | 3 |
# mutation | 1 |   |   | 1 |   |   | 1 |   |   |   |   | 2 |   | 2 |   | 1 |   | 1 |   | 3 |
nonsynonymous SNV |   |   |   | 1 |   |   | 1 |   |   |   |   |   |   | 1 |   |   |   | 1 |   | 1 |
synonymous SNV | 1 |   |   |   |   |   |   |   |   |   |   | 2 |   | 1 |   | 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]) |
Top |
![]() |
* 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 |
chr9:130630298 | p.I161I | 1 |
chr9:130635089 | p.E158E | 1 |
chr9:130630299 | p.T157I | 1 |
chr9:130630320 | p.D141N | 1 |
chr9:130630328 | p.D119D | 1 |
chr9:130630633 | p.R108P | 1 |
chr9:130630642 | p.T35T | 1 |
chr9:130630646 | p.V29V | 1 |
chr9:130630695 | p.A192S | 1 |
chr9:130630759 | p.D191D | 1 |
![]() |
![]() |
* 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] |
Top |
Gene Expression for AK1 |
![]() |
* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
![]() |
![]() |
* 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)) |
![]() |
Top |
![]() |
* This plots show the correlation between CNV and gene expression. |
![]() | |
![]() |
Top |
Gene-Gene Network Information |
![]() |
* 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 |
![]() | |||||
AK1,BLOC1S1,LAMTOR4,SWI5,C9orf16,DPM2,DPP7, EDF1,ENDOG,FIS1,FPGS,LOC440957,NTMT1,MPG, NDUFA13,PHPT1,PTGES2,RNASEK,SSNA1,SURF2,TCEB2 | ABLIM2,ADSSL1,AK1,ALDOA,BIN1,CKMT2,CLTCL1, COX7A1,CUTC,FNDC5,HRC,KCNJ12,MYOM1,PDE4DIP, PHKG1,PPAPDC3,PTP4A3,RRAD,SCN1B,SHISA4,TRIM7 | ||||
![]() | |||||
AK1,ARF1,CIB1,COQ4,EDF1,F12,FPGS, GUK1,JTB,MRPL17,MRPL24,MRPL55,MTX1,PMVK, PSMD4,LAMTOR2,SEC61B,TOR2A,TPM3,TRIM11,ZNF511 | AK1,AMTN,APOBEC3A,AQP8,PRR32,DUSP13,GAGE12J, HDAC9,KRT34,KRTAP4-7,LCE1F,LCE4A,LOC25845,MAPRE3, OR56B1,PROL1,SERPINB13,SERPINB4,SLC26A3,SLC9A3,SSX1, SSX2,TMPRSS11A,TR |
![]() |
* 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 |
Top |
![]() |
Top |
Pharmacological Information for AK1 |
![]() |
DB Category | DB Name | DB's ID and Url link |
![]() |
* Gene Centered Interaction Network. |
![]() |
* Drug Centered Interaction Network. |
DrugBank ID | Target Name | Drug Groups | Generic Name | Drug Centered Network | Drug Structure |
DB01717 | adenylate kinase 1 | experimental | Bis(Adenosine)-5'-Pentaphosphate | ![]() | ![]() |
Top |
Cross referenced IDs for AK1 |
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section |
Copyright © 2016-Present - The Univsersity of Texas Health Science Center at Houston @ |