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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for RPS12 |
Basic gene info. | Gene symbol | RPS12 |
Gene name | ribosomal protein S12 | |
Synonyms | S12 | |
Cytomap | UCSC genome browser: 6q23.2 | |
Genomic location | chr6 :133135707-133138703 | |
Type of gene | protein-coding | |
RefGenes | NM_001016.3, | |
Ensembl id | ENSG00000112306 | |
Description | 40S ribosomal protein S12 | |
Modification date | 20141207 | |
dbXrefs | MIM : 603660 | |
HGNC : HGNC | ||
HPRD : 04714 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_RPS12 | |
BioGPS: 6206 | ||
Gene Expression Atlas: ENSG00000112306 | ||
The Human Protein Atlas: ENSG00000112306 | ||
Pathway | NCI Pathway Interaction Database: RPS12 | |
KEGG: RPS12 | ||
REACTOME: RPS12 | ||
ConsensusPathDB | ||
Pathway Commons: RPS12 | ||
Metabolism | MetaCyc: RPS12 | |
HUMANCyc: RPS12 | ||
Regulation | Ensembl's Regulation: ENSG00000112306 | |
miRBase: chr6 :133,135,707-133,138,703 | ||
TargetScan: NM_001016 | ||
cisRED: ENSG00000112306 | ||
Context | iHOP: RPS12 | |
cancer metabolism search in PubMed: RPS12 | ||
UCL Cancer Institute: RPS12 | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for RPS12(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: RPS12 |
Familial Cancer Database: RPS12 |
* 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/ |
Metabolic Pathway Description | |
REACTOME_METABOLISM_OF_PROTEINS REACTOME_METABOLISM_OF_MRNA REACTOME_METABOLISM_OF_RNA |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: RPS12 |
MedGen: RPS12 (Human Medical Genetics with Condition) | |
ClinVar: RPS12 | |
Phenotype | MGI: RPS12 (International Mouse Phenotyping Consortium) |
PhenomicDB: RPS12 |
Mutations for RPS12 |
* 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 |
There's no structural variation information in COSMIC data for this gene. |
Related fusion transcripts : go to Chitars2.0 |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows RPS12 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 |
DA436799 | RPS12 | 1 | 65 | 6 | 133137948 | 133138012 | SERINC1 | 64 | 591 | 6 | 122775296 | 122792957 | |
AI394068 | RPS12 | 4 | 65 | 6 | 133138642 | 133138703 | NIPAL3 | 60 | 235 | 1 | 24745780 | 24745955 | |
CD050400 | RPS12 | 19 | 516 | 6 | 133135708 | 133138698 | PAK4 | 515 | 565 | 19 | 39669994 | 39670044 | |
BP319882 | RPS12 | 1 | 505 | 6 | 133135708 | 133138703 | SMYD3 | 505 | 582 | 1 | 246433107 | 246433184 |
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 |   |   |   |   |   |   |   |   | |||
GAIN (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
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=5) | (# total SNVs=16) |
(# total SNVs=0) | (# 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 |
chr6:133138146-133138146 | p.I94I | 13 |
chr6:133137703-133137703 | p.? | 2 |
chr6:133138134-133138134 | p.G90G | 2 |
chr6:133136170-133136171 | p.L26fs*32 | 1 |
chr6:133136205-133136205 | p.E37K | 1 |
chr6:133136222-133136222 | p.L42F | 1 |
chr6:133136223-133136223 | p.D43N | 1 |
chr6:133137658-133137658 | p.L64L | 1 |
chr6:133137686-133137686 | p.Q73R | 1 |
chr6:133138123-133138123 | p.E87K | 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 |   |   |   |   |   |   |   |   | 1 | 1 |   |   |   |   | 1 |   | 3 |
# mutation |   |   | 1 |   |   |   |   |   |   |   |   | 1 | 1 |   |   |   |   | 1 |   | 3 |
nonsynonymous SNV |   |   |   |   |   |   |   |   |   |   |   | 1 | 1 |   |   |   |   |   |   | 3 |
synonymous SNV |   |   | 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 |
chr6:133138134 | p.G90G | 2 |
chr6:133136205 | p.E37K | 1 |
chr6:133136222 | p.L42F | 1 |
chr6:133136223 | p.D43N | 1 |
chr6:133137686 | p.Q73R | 1 |
chr6:133138165 | p.R101S | 1 |
chr6:133138166 | p.R101H | 1 |
chr6:133138636 | p.S118S | 1 |
Other DBs for Point Mutations |
Copy Number for RPS12 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 RPS12 |
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 |
EEF1A1P9,EEF1G,RPL10A,RPL11,RPL13,RPL17,RPL18A, RPL27A,RPL31,RPL32,RPL36,RPL37A,RPL6,RPLP0, RPS10,RPS12,RPS18,RPS27A,RPS8,RPSAP58,UBA52 | EEF1A1P9,RPL10,RPL14,RPL29,RPL31,RPL32,RPL35A, RPL37,RPL4,RPL5,RPL6,RPLP0,RPS12,RPS14, RPS23,RPS27A,RPS6,RPS7,RPS8,RPSA,RPSAP58 |
GAS5,LRRC75A-AS1,RPL10A,RPL12,RPL13A,RPL26,RPL31, RPL35A,RPL36,RPL37A,RPL7A,RPLP0,RPS10,RPS11, RPS12,RPS16,RPS17,RPS18,RPS23,RPS25,RPS27A | EEF1A1,RPL10,RPL10A,RPL14,RPL15,RPL19,RPL30, RPL32,RPL3,RPL38,RPL6,RPL7A,RPLP0,RPS11, RPS12,RPS13,RPS23,RPS25,RPS3,RPS5,RPS8 |
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 RPS12 |
There's no related Drug. |
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Cross referenced IDs for RPS12 |
* 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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