|
Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for GALK2 |
Basic gene info. | Gene symbol | GALK2 |
Gene name | galactokinase 2 | |
Synonyms | GK2 | |
Cytomap | UCSC genome browser: 15q21.1-q21.2 | |
Genomic location | chr15 :49447975-49622002 | |
Type of gene | protein-coding | |
RefGenes | NM_001001556.2, NM_001289030.1,NM_001289031.1,NM_002044.3, | |
Ensembl id | ENSG00000156958 | |
Description | N-acetylgalactosamine kinasegalNAc kinase | |
Modification date | 20141207 | |
dbXrefs | MIM : 137028 | |
HGNC : HGNC | ||
HPRD : 00657 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_GALK2 | |
BioGPS: 2585 | ||
Gene Expression Atlas: ENSG00000156958 | ||
The Human Protein Atlas: ENSG00000156958 | ||
Pathway | NCI Pathway Interaction Database: GALK2 | |
KEGG: GALK2 | ||
REACTOME: GALK2 | ||
ConsensusPathDB | ||
Pathway Commons: GALK2 | ||
Metabolism | MetaCyc: GALK2 | |
HUMANCyc: GALK2 | ||
Regulation | Ensembl's Regulation: ENSG00000156958 | |
miRBase: chr15 :49,447,975-49,622,002 | ||
TargetScan: NM_001001556 | ||
cisRED: ENSG00000156958 | ||
Context | iHOP: GALK2 | |
cancer metabolism search in PubMed: GALK2 | ||
UCL Cancer Institute: GALK2 | ||
Assigned class in ccmGDB | C |
Top |
Phenotypic Information for GALK2(metabolism pathway, cancer, disease, phenome) |
![]() | |
Cancer | CGAP: GALK2 |
Familial Cancer Database: GALK2 |
* 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_GALACTOSE_METABOLISM KEGG_AMINO_SUGAR_AND_NUCLEOTIDE_SUGAR_METABOLISM |
![]() | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: GALK2 |
MedGen: GALK2 (Human Medical Genetics with Condition) | |
ClinVar: GALK2 | |
Phenotype | MGI: GALK2 (International Mouse Phenotyping Consortium) |
PhenomicDB: GALK2 |
Mutations for GALK2 |
* 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. |
![]() |
- 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 |
liver | GALK2 | chr15 | 49606904 | 49606904 | C15orf33 | chr15 | 49680647 | 49680647 |
liver | GALK2 | chr15 | 49606911 | 49606911 | C15orf33 | chr15 | 49680628 | 49680628 |
ovary | GALK2 | chr15 | 49598384 | 49598404 | GALK2 | chr15 | 49522633 | 49522653 |
pancreas | GALK2 | chr15 | 49614236 | 49614256 | GALK2 | chr15 | 49573623 | 49573643 |
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) |
![]() |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows GALK2 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 |
DB216138 | GALK2 | 1 | 319 | 15 | 49447995 | 49454059 | GOPC | 317 | 546 | 6 | 117896453 | 117900229 | |
BF355333 | PDIA3 | 7 | 194 | 15 | 44059090 | 44061776 | GALK2 | 181 | 255 | 15 | 49599337 | 49599411 |
![]() |
Top |
![]() |
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 | |||
GAIN (# sample) | 1 |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | 1 | |||
LOSS (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |
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) |
Top |
![]() |
|
![]() |
Top |
![]() |
Stat. for Non-Synonymous SNVs (# total SNVs=39) | (# total SNVs=10) |
![]() | ![]() |
(# 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 |
chr15:49620186-49620186 | p.G392* | 3 |
chr15:49584622-49584622 | p.V274V | 2 |
chr15:49493420-49493420 | p.R28* | 2 |
chr15:49575800-49575800 | p.D203V | 2 |
chr15:49531550-49531550 | p.R153W | 2 |
chr15:49509510-49509510 | p.P78L | 2 |
chr15:49528110-49528110 | p.Y99C | 2 |
chr15:49611952-49611952 | p.D362D | 1 |
chr15:49528114-49528114 | p.F100L | 1 |
chr15:49574250-49574250 | p.Q180* | 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 |   | 8 | 1 |   | 1 |   | 1 |   |   | 5 | 2 |   |   |   | 2 | 2 |   | 5 |
# mutation |   | 1 |   | 8 | 1 |   | 1 |   | 1 |   |   | 5 | 2 |   |   |   | 2 | 2 |   | 5 |
nonsynonymous SNV |   | 1 |   | 5 | 1 |   | 1 |   | 1 |   |   | 3 | 1 |   |   |   | 2 | 2 |   | 3 |
synonymous SNV |   |   |   | 3 |   |   |   |   |   |   |   | 2 | 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 |
chr15:49575813 | p.L300L,GALK2 | 1 |
chr15:49611928 | p.P23T,GALK2 | 1 |
chr15:49493405 | p.N308N,GALK2 | 1 |
chr15:49575902 | p.E38K,GALK2 | 1 |
chr15:49611952 | p.Q310E,GALK2 | 1 |
chr15:49509389 | p.L57I,GALK2 | 1 |
chr15:49575904 | p.A329A,GALK2 | 1 |
chr15:49620177 | p.A59A,GALK2 | 1 |
chr15:49509446 | p.L332P,GALK2 | 1 |
chr15:49584555 | p.Y66F,GALK2 | 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 GALK2 |
![]() |
* 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 |
![]() | |
ALDH1A2,AP4E1,ARPP19,FAM227B,COPS2,CYP2C9,DTWD1, DUT,FLJ10038,GALK2,HAUS2,HK1,LOC100129387,LRRC57, PIGB,BLOC1S6,RSL24D1,SPANXD,SPATA5L1,SUPV3L1,VPS26A | ABCB6,AUH,C10orf76,CCBL1,CRADD,FDFT1,GALK2, HIBCH,HIST1H1D,KLHL8,LOC81691,NGLY1,NUDT9,OMA1, RIC8B,SCP2,SRBD1,STAMBP,TBCK,UTP6,YARS2 |
![]() | |
AQR,VWA9,RHOV___CHP1,CKMT1B,CLN6,CLPX,COPS2, COX15,COX5A,ETFA,GALK2,IVD,LEO1,MPI, NDUFAF1,RAB11A,RPP25,RPUSD2,SFXN2,SLC27A2,SPATA5L1 | AK7,AURKA,CCNB1,CCNB2,CENPN,CHCHD3,COQ2, DIAPH3,MTFR2,FH,GALK2,GMDS,MELK,NCAPG, OIP5,ORC1,PBK,POC1A,RAD51,RARS,RTN4IP1 |
![]() |
* 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 GALK2 |
There's no related Drug. |
Top |
Cross referenced IDs for GALK2 |
* 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 @ |