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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for MOCS2 |
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Phenotypic Information for MOCS2(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: MOCS2 |
Familial Cancer Database: MOCS2 |
* This gene is included in those cancer gene databases. |
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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/ |
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REACTOME_METABOLISM_OF_VITAMINS_AND_COFACTORS |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: MOCS2 |
MedGen: MOCS2 (Human Medical Genetics with Condition) | |
ClinVar: MOCS2 | |
Phenotype | MGI: MOCS2 (International Mouse Phenotyping Consortium) |
PhenomicDB: MOCS2 |
Mutations for MOCS2 |
* 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. |
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There's no structural variation information in COSMIC data for this gene. |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows MOCS2 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 |
CF529200 | MOCS2 | 15 | 190 | 5 | 52393901 | 52394076 | DAB1 | 181 | 200 | 1 | 57712226 | 57712245 | |
AA659769 | MOCS2 | 1 | 66 | 5 | 52402490 | 52402591 | PTH2R | 49 | 128 | 2 | 209382881 | 209383318 |
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There's no copy number variation information in COSMIC data for this gene. |
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Stat. for Non-Synonymous SNVs (# total SNVs=10) | (# total SNVs=4) |
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(# total SNVs=1) | (# total SNVs=2) |
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* 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 |
chr5:52402976-52402976 | p.C10Y | 2 |
chr5:52398014-52398014 | p.I47V | 2 |
chr5:52396238-52396238 | p.? | 2 |
chr5:52402939-52402940 | p.L23fs*5 | 2 |
chr5:52402960-52402960 | p.T15T | 1 |
chr5:52397991-52397991 | p.L54L | 1 |
chr5:52398000-52398000 | p.A51A | 1 |
chr5:52402983-52402983 | p.S8P | 1 |
chr5:52398001-52398001 | p.A51V | 1 |
chr5:52394456-52394456 | p.E181D | 1 |
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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 |   | 1 |   | 1 |   |   |   |   | 1 |   |   | 1 | 1 |   |   |   | 2 |   |   | 6 |
# mutation |   | 1 |   | 1 |   |   |   |   | 1 |   |   | 1 | 1 |   |   |   | 2 |   |   | 6 |
nonsynonymous SNV |   | 1 |   |   |   |   |   |   | 1 |   |   | 1 | 1 |   |   |   | 2 |   |   | 6 |
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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* 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 |
chr5:52402960 | p.S23L | 1 |
chr5:52402983 | p.R22H | 1 |
chr5:52404357 | p.T19I | 1 |
chr5:52394488 | p.E171K | 1 |
chr5:52404424 | p.P163S | 1 |
chr5:52396255 | p.I136T | 1 |
chr5:52404427 | p.R111S | 1 |
chr5:52396335 | p.L54L | 1 |
chr5:52404436 | p.A51V | 1 |
chr5:52397233 | p.P83S | 1 |
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* 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. |
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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 MOCS2 |
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* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
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* 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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* This plots show the correlation between CNV and gene expression. |
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Gene-Gene Network Information |
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* 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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C18orf32,SMIM15,CDK7,CETN3,COMMD10,GPBP1,MED7, MOCS2,MRPS36,PFDN1,POC5,PPP2CA,REEP5,RIOK2, SREK1IP1,SKP1,SMN2,TAF9,TBCA,UBE2B,ZCCHC9 | ANXA7,ATG4A,C11orf74,EIF4E3,GTF2H5,ISCA1,KCMF1, MAP1LC3B,METTL5,MKKS,MOCS2,MORF4L1,PAIP2,RAB7A, SMAP1,SNAPIN,STRAP,TTC1,UBE2A,UBE2V2,VPS29 |
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ATP5C1,ATP5L,ATP5O,TRAPPC13,CCDC58,MDH1,MOCS2, MRPL1,MRPL22,MRPL47,MRPS36,NDUFAF2,NDUFS4,NUDCD2, RPL26L1,SUB1,TAF9,TBCA,TTC1,UQCRQ,ZCCHC9 | ARMC1,BRK1,CAPZA2,COPS2,COPS8,DNAJC8,COX20, FBXL5,FRG1,FUNDC2,GLO1,LYRM5,METTL5,MOCS2, PCNP,PFDN1,PRKRA,RWDD1,RWDD2B,SNX3,UBE2V2 |
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* 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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Pharmacological Information for MOCS2 |
There's no related Drug. |
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Cross referenced IDs for MOCS2 |
* 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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