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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for ST6GAL1 |
Basic gene info. | Gene symbol | ST6GAL1 |
Gene name | ST6 beta-galactosamide alpha-2,6-sialyltranferase 1 | |
Synonyms | SIAT1|ST6GalI|ST6N | |
Cytomap | UCSC genome browser: 3q27-q28 | |
Genomic location | chr3 :186648314-186796341 | |
Type of gene | protein-coding | |
RefGenes | NM_003032.2, NM_173216.2,NM_173217.2, | |
Ensembl id | ENSG00000073849 | |
Description | B-cell antigen CD75CMP-N-acetylneuraminate beta-galactosamide alpha-2,6-sialyltransferaseCMP-N-acetylneuraminate-beta-galactosamide-alpha-2,6-sialyltransferase 1ST6Gal Ialpha 2,6-ST 1beta-galactoside alpha-2,6-sialyltransferase 1sialyltransferase 1 | |
Modification date | 20141207 | |
dbXrefs | MIM : 109675 | |
HGNC : HGNC | ||
Ensembl : ENSG00000073849 | ||
HPRD : 00184 | ||
Vega : OTTHUMG00000156500 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_ST6GAL1 | |
BioGPS: 6480 | ||
Gene Expression Atlas: ENSG00000073849 | ||
The Human Protein Atlas: ENSG00000073849 | ||
Pathway | NCI Pathway Interaction Database: ST6GAL1 | |
KEGG: ST6GAL1 | ||
REACTOME: ST6GAL1 | ||
ConsensusPathDB | ||
Pathway Commons: ST6GAL1 | ||
Metabolism | MetaCyc: ST6GAL1 | |
HUMANCyc: ST6GAL1 | ||
Regulation | Ensembl's Regulation: ENSG00000073849 | |
miRBase: chr3 :186,648,314-186,796,341 | ||
TargetScan: NM_003032 | ||
cisRED: ENSG00000073849 | ||
Context | iHOP: ST6GAL1 | |
cancer metabolism search in PubMed: ST6GAL1 | ||
UCL Cancer Institute: ST6GAL1 | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for ST6GAL1(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: ST6GAL1 |
Familial Cancer Database: ST6GAL1 |
* 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 | |
REACTOME_METABOLISM_OF_PROTEINS |
Mutations for ST6GAL1 |
* 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 | ST6GAL1 | chr3 | 186661562 | 186661582 | KNG1 | chr3 | 186459634 | 186459654 |
ovary | ST6GAL1 | chr3 | 186683386 | 186683406 | HRG | chr3 | 186388940 | 186388960 |
ovary | ST6GAL1 | chr3 | 186778691 | 186778711 | ATP13A3 | chr3 | 194141829 | 194141849 |
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 ST6GAL1 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 |
BM919650 | LPP-AS2 | 19 | 88 | 3 | 187871740 | 187871809 | ST6GAL1 | 82 | 978 | 3 | 186790631 | 186793956 | |
AW609212 | UBE2R2 | 4 | 421 | 9 | 33917666 | 33918089 | ST6GAL1 | 414 | 599 | 3 | 186794510 | 186794695 | |
DR002138 | ST6GAL1 | 9 | 390 | 3 | 186794864 | 186795245 | ST6GAL1 | 390 | 723 | 3 | 186681643 | 186760571 | |
AI032739 | GRN | 2 | 114 | 17 | 42430358 | 42430470 | ST6GAL1 | 108 | 583 | 3 | 186760877 | 186792004 | |
AA705426 | GRN | 2 | 114 | 17 | 42430358 | 42430470 | ST6GAL1 | 108 | 491 | 3 | 186760969 | 186792004 | |
AA973233 | MRPS34 | 1 | 270 | 16 | 1821893 | 1822162 | ST6GAL1 | 263 | 351 | 3 | 186795577 | 186795665 |
Other DBs for Structural Variants |
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Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
Mutation type/ Tissue ID | brca | cns | cerv | endome | haematopo | kidn | Lintest | liver | lung | ns | ovary | pancre | prost | skin | stoma | thyro | urina | |||
Total # sample | 1 | 2 |   |   |   |   |   |   | 3 |   | 3 |   | 1 |   |   |   |   | |||
GAIN (# sample) | 1 | 2 |   |   |   |   |   |   | 3 |   | 2 |   | 1 |   |   |   |   | |||
LOSS (# sample) |   |   |   |   |   |   |   |   |   |   | 1 |   |   |   |   |   |   |
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) |
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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=28) | (# total SNVs=14) |
(# 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 |
chr3:186760790-186760790 | p.S100I | 2 |
chr3:186761061-186761061 | p.A190A | 2 |
chr3:186760565-186760565 | p.V25E | 2 |
chr3:186761082-186761082 | p.Q197H | 2 |
chr3:186760883-186760883 | p.P131L | 2 |
chr3:186760557-186760557 | p.V22V | 1 |
chr3:186790707-186790707 | p.P259Q | 1 |
chr3:186793465-186793465 | p.T365T | 1 |
chr3:186790722-186790722 | p.S264* | 1 |
chr3:186760840-186760840 | p.L117L | 1 |
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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 | 2 |   |   | 5 | 1 |   | 2 |   | 1 |   |   | 3 | 2 | 1 |   |   | 7 | 1 |   | 5 |
# mutation | 2 |   |   | 4 | 1 |   | 2 |   | 1 |   |   | 3 | 2 | 1 |   |   | 7 | 1 |   | 7 |
nonsynonymous SNV | 1 |   |   | 2 | 1 |   |   |   |   |   |   | 2 | 2 |   |   |   | 4 |   |   | 6 |
synonymous SNV | 1 |   |   | 3 |   |   | 2 |   | 1 |   |   | 1 |   | 1 |   |   | 3 | 1 |   | 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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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 |
chr3:186761061 | p.F277F,ST6GAL1 | 2 |
chr3:186760790 | p.S100I,ST6GAL1 | 2 |
chr3:186791973 | p.A190A,ST6GAL1 | 2 |
chr3:186760650 | p.S60F,ST6GAL1 | 1 |
chr3:186760952 | p.P273L,ST6GAL1 | 1 |
chr3:186793484 | p.T68T,ST6GAL1 | 1 |
chr3:186760670 | p.R75C,ST6GAL1 | 1 |
chr3:186761001 | p.P301L,ST6GAL1 | 1 |
chr3:186793540 | p.G79V,ST6GAL1 | 1 |
chr3:186760695 | p.S346C,ST6GAL1 | 1 |
Other DBs for Point Mutations |
Copy Number for ST6GAL1 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 ST6GAL1 |
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 |
ACSL1,ACSL5,ACTR3,APOL6,ASS1,CFLAR,CP, FNDC3B,GK3P,GLYATL2,LIMCH1,MTUS1,RASSF5,RNF217, SEL1L3,SLC15A2,SLC25A18,SLC5A1,SLFN11,ST6GAL1,TMEM123 | ABCC2,ABCC4,AFMID,ALOX15B,C6orf223,CHST1,CLNK, EAF2,ELOVL7,FABP7,HPGD,KYNU,LST-3TM12,PNLIPRP3, PPAPDC1A,SGPP2,ST6GAL1,STARD4,TARP,TLR7,TMPRSS11F | ||||
ABAT,AOAH,ATP9A,KIAA0226L,GDPD5,GPR160,KLHL24, LRRC2,PLAGL2,PLCB4,POFUT1,PRLR,SATB2,SERINC3, ST6GAL1,STAU1,TGIF2,TM9SF4,TMEM192,ZBTB38,ZSWIM3 | ATP2C2,TMEM254,C9orf152,CPA6,FLJ23867,KIAA1147,KIAA1324, LOC284578,MARCKSL1,MTL5,NEURL1,NRAP,PTPRO,RXFP4, SAMD10,SEC14L5,SLC2A10,ST6GAL1,ST6GALNAC1,STAG3,WNK4 |
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 ST6GAL1 |
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 |
DB00301 | ST6 beta-galactosamide alpha-2,6-sialyltranferase 1 | approved | Flucloxacillin |
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Cross referenced IDs for ST6GAL1 |
* 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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