Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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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 GUCY2C
Basic gene info.Gene symbolGUCY2C
Gene nameguanylate cyclase 2C
SynonymsDIAR6|GUC2C|MECIL|MUCIL|STAR
CytomapUCSC genome browser: 12p12
Genomic locationchr12 :14765567-14849519
Type of geneprotein-coding
RefGenesNM_004963.3,
Ensembl idENSG00000070019
DescriptionGC-CSTA receptorguanylate cyclase 2C (heat stable enterotoxin receptor)guanylyl cyclase ChSTARheat stable enterotoxin receptorheat-stable enterotoxin receptorintestinal guanylate cyclase
Modification date20141220
dbXrefs MIM : 601330
HGNC : HGNC
Ensembl : ENSG00000070019
HPRD : 07529
Vega : OTTHUMG00000168732
ProteinUniProt: P25092
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_GUCY2C
BioGPS: 2984
Gene Expression Atlas: ENSG00000070019
The Human Protein Atlas: ENSG00000070019
PathwayNCI Pathway Interaction Database: GUCY2C
KEGG: GUCY2C
REACTOME: GUCY2C
ConsensusPathDB
Pathway Commons: GUCY2C
MetabolismMetaCyc: GUCY2C
HUMANCyc: GUCY2C
RegulationEnsembl's Regulation: ENSG00000070019
miRBase: chr12 :14,765,567-14,849,519
TargetScan: NM_004963
cisRED: ENSG00000070019
ContextiHOP: GUCY2C
cancer metabolism search in PubMed: GUCY2C
UCL Cancer Institute: GUCY2C
Assigned class in ccmGDBA - This gene has a literature evidence and it belongs to cancer gene.
References showing role of GUCY2C in cancer cell metabolism1. Lin JE, Li P, Snook AE, Schulz S, Dasgupta A, et al. (2010) The hormone receptor GUCY2C suppresses intestinal tumor formation by inhibiting AKT signaling. Gastroenterology 138: 241-254. doi: 10.1053/j.gastro.2009.08.064. pmid: 2813361. go to article

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Phenotypic Information for GUCY2C(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: GUCY2C
Familial Cancer Database: GUCY2C
* 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
KEGG_PURINE_METABOLISM

check002.gifOthers
OMIM 601330; gene.
614616; phenotype.
614665; phenotype.
Orphanet 314373; Chronic diarrhea due to guanylate cyclase 2C overactivity.
314376; Intestinal obstruction in the newborn due to guanylate cyclase 2C deficiency.
DiseaseKEGG Disease: GUCY2C
MedGen: GUCY2C (Human Medical Genetics with Condition)
ClinVar: GUCY2C
PhenotypeMGI: GUCY2C (International Mouse Phenotyping Consortium)
PhenomicDB: GUCY2C

Mutations for GUCY2C
* 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
ovaryGUCY2Cchr121478507214785092GUCY2Cchr121478705014787070
ovaryGUCY2Cchr121482408614824106GUCY2Cchr121482529514825315
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 GUCY2C related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a

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
 
Mutation type/ Tissue IDbrcacnscervendomehaematopokidnLintestliverlungnsovarypancreprostskinstomathyrourina
Total # sample      1         1
GAIN (# sample)      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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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=3

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=88)
Stat. for Synonymous SNVs
(# total SNVs=28)
Stat. for Deletions
(# total SNVs=6)
Stat. for Insertions
(# total SNVs=1)

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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
chr12:14827688-14827688p.R319*4
chr12:14778829-14778829p.N757fs*84
chr12:14832636-14832636p.R262Q3
chr12:14772190-14772190p.G944R3
chr12:14834281-14834281p.?3
chr12:14804904-14804904p.E532Q2
chr12:14822657-14822657p.R427R2
chr12:14769588-14769588p.V983V2
chr12:14774139-14774139p.I871I2
chr12:14834368-14834368p.E219K2

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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=3

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample371141 6 3211194  387114
# mutation371141 6 3211294  4611116
nonsynonymous SNV3419  4 311953  267 13
synonymous SNV 3 51 2  1 341  20413
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
chr12:14832636p.R262L3
chr12:14804406p.P406P2
chr12:14774139p.G549C2
chr12:14822720p.R114R2
chr12:14834368p.I871I2
chr12:14839148p.E219K2
chr12:14840914p.K643R1
chr12:14774035p.T555I1
chr12:14794076p.K973N1
chr12:14813967p.F216L1

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 GUCY2C 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 GUCY2C

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

BLK,CCL19,CD19,CD37,CNR2,CXCR5,CXorf65,
FAM159A,FAM65B,FCRLA,GPR18,GUCY2C,HVCN1,TESPA1,
PAX5,STAP1,TLR10,TNFRSF13B,TNFRSF13C,TTC24,VPREB3
ARHGAP20,ASAH1,ATG12,C10orf25,WDPCP,CCNB3,CDKN2B,
CREG1,FAM173B,PCAT4,GTDC1,GUCY2C,HNMT,HSD17B4,
LOC642597,MAN1A1,PBLD,PLOD2,RAB2A,TNFAIP8,VENTXP1

A1CF,LINC00483,CD9,CDH17,CDX2,CLRN3,CRYL1,
DDC,FAM105A,FAR2,GRTP1,GUCY2C,IYD,C2CD5,
MANSC1,MEP1A,PRKAB1,SLC39A5,SLC3A1,TMEM117,TSPAN12
ANKS4B,BTNL3,LRRC75A,CES2,CXADR,EPS8L3,FMO5,
GUCY2C,HSD17B11,IYD,MOGAT2,NGEF,RNF128,SLC39A14,
SMPD3,SNX24,STRADB,TMBIM6,USH1C,USP37,VIL1
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 GUCY2C


There's no related Drug.
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Cross referenced IDs for GUCY2C
* 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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