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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for RPS5 |
Basic gene info. | Gene symbol | RPS5 |
Gene name | ribosomal protein S5 | |
Synonyms | S5 | |
Cytomap | UCSC genome browser: 19q13.4 | |
Genomic location | chr19 :58898635-58906171 | |
Type of gene | protein-coding | |
RefGenes | NM_001009.3, | |
Ensembl id | ENSG00000083845 | |
Description | 40S ribosomal protein S5 | |
Modification date | 20141207 | |
dbXrefs | MIM : 603630 | |
HGNC : HGNC | ||
Ensembl : ENSG00000083845 | ||
HPRD : 04695 | ||
Vega : OTTHUMG00000183530 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_RPS5 | |
BioGPS: 6193 | ||
Gene Expression Atlas: ENSG00000083845 | ||
The Human Protein Atlas: ENSG00000083845 | ||
Pathway | NCI Pathway Interaction Database: RPS5 | |
KEGG: RPS5 | ||
REACTOME: RPS5 | ||
ConsensusPathDB | ||
Pathway Commons: RPS5 | ||
Metabolism | MetaCyc: RPS5 | |
HUMANCyc: RPS5 | ||
Regulation | Ensembl's Regulation: ENSG00000083845 | |
miRBase: chr19 :58,898,635-58,906,171 | ||
TargetScan: NM_001009 | ||
cisRED: ENSG00000083845 | ||
Context | iHOP: RPS5 | |
cancer metabolism search in PubMed: RPS5 | ||
UCL Cancer Institute: RPS5 | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for RPS5(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: RPS5 |
Familial Cancer Database: RPS5 |
* 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_PROTEINS REACTOME_METABOLISM_OF_MRNA REACTOME_METABOLISM_OF_RNA |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: RPS5 |
MedGen: RPS5 (Human Medical Genetics with Condition) | |
ClinVar: RPS5 | |
Phenotype | MGI: RPS5 (International Mouse Phenotyping Consortium) |
PhenomicDB: RPS5 |
Mutations for RPS5 |
* 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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- Statistics for Tissue and Mutation type | Top |
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- For Inter-chromosomal Variations |
* Inter-chromosomal variantions includes 'interchromosomal amplicon to amplicon', 'interchromosomal amplicon to non-amplified dna', 'interchromosomal insertion', 'Interchromosomal unknown type'. |
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- For Intra-chromosomal Variations |
There's no intra-chromosomal structural variation. |
Sample | Symbol_a | Chr_a | Start_a | End_a | Symbol_b | Chr_b | Start_b | End_b |
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) |
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* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows RPS5 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 |
BG929094 | SPIN3 | 65 | 417 | X | 57017834 | 57018186 | RPS5 | 411 | 590 | 19 | 58905861 | 58906126 | |
CF128579 | CD63 | 1 | 675 | 12 | 56119614 | 56122766 | RPS5 | 675 | 815 | 19 | 58904396 | 58904536 | |
BU175700 | MRPS21 | 1 | 381 | 1 | 150266791 | 150280782 | RPS5 | 381 | 604 | 19 | 58904724 | 58905959 | |
BQ432456 | CTDSP1 | 1 | 155 | 2 | 219264611 | 219264765 | RPS5 | 156 | 617 | 19 | 58904350 | 58906080 | |
U50079 | RPS5 | 1 | 96 | 19 | 58898660 | 58899554 | HDAC1 | 97 | 1611 | 1 | 32757757 | 32798767 | |
BQ227834 | ACTG1 | 5 | 289 | 17 | 79477001 | 79477287 | RPS5 | 290 | 655 | 19 | 58898661 | 58904552 |
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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 | 1 |   |   |   |   |   |   |   |   |   |   | |||
GAIN (# sample) |   |   |   |   | 1 | 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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Stat. for Non-Synonymous SNVs (# total SNVs=12) | (# total SNVs=11) |
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(# total SNVs=0) | (# total SNVs=0) |
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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 |
chr19:58904820-58904820 | p.A138V | 2 |
chr19:58904396-58904396 | p.G54G | 2 |
chr19:58904798-58904798 | p.A131T | 1 |
chr19:58906110-58906110 | p.N203S | 1 |
chr19:58904471-58904471 | p.H79H | 1 |
chr19:58904801-58904801 | p.G132R | 1 |
chr19:58899511-58899511 | p.E3K | 1 |
chr19:58904472-58904472 | p.G80S | 1 |
chr19:58904809-58904809 | p.V134V | 1 |
chr19:58899536-58899536 | p.V11G | 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 |   | 4 | 1 | 3 | 1 |   | 1 |   |   |   |   | 2 | 1 |   |   |   | 3 | 4 |   | 3 |
# mutation |   | 4 | 1 | 3 | 1 |   | 1 |   |   |   |   | 2 | 1 |   |   |   | 3 | 4 |   | 3 |
nonsynonymous SNV |   | 4 |   | 2 | 1 |   | 1 |   |   |   |   |   |   |   |   |   | 1 | 3 |   |   |
synonymous SNV |   |   | 1 | 1 |   |   |   |   |   |   |   | 2 | 1 |   |   |   | 2 | 1 |   | 3 |
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 |
chr19:58904809 | p.V134V | 2 |
chr19:58906108 | p.A138V | 1 |
chr19:58904732 | p.C172C | 1 |
chr19:58906110 | p.E3Q | 1 |
chr19:58899511 | p.A174S | 1 |
chr19:58904744 | p.D16D | 1 |
chr19:58899552 | p.S185S | 1 |
chr19:58904783 | p.F20L | 1 |
chr19:58899562 | p.S187F | 1 |
chr19:58899606 | p.S34S | 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 RPS5 |
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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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C19orf48,RPL10,RPL10A,RPL13A,RPL13AP20,RPL18,RPL28, RPL36,RPL37A,RPLP0,RPS10,RPS11,RPS14,RPS19, RPS5,RPS8,RPS9,RPSA,RPSAP58,TRIM28,ZNF581 | EEF1G,GNB2L1,RPL10,RPL10A,RPL12,RPL13A,RPL14, RPL18,RPL18A,RPL19,RPL3,RPL7A,RPLP0,RPS14, RPS19,RPS2,RPS3,RPS5,RPS6,RPS8,RPSAP58 |
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EEF1B2,LRRC75A-AS1,RPL10A,RPL13A,RPL18,RPL28,RPL35, RPLP0,RPS10,RPS11,RPS14,RPS16,RPS19,RPS29, RPS3,RPS3A,RPS5,RPS9,RPSAP58,SNRPD2,ZNF581 | C12orf57,EEF1B2,RPL10A,RPL15,RPL24,RPL27A,RPL29, RPL32,RPL35,RPL41,RPL5,RPL7A,RPS10,RPS11, RPS14,RPS3,RPS3A,RPS5,RPS6,RPS8,RPSAP58 |
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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 RPS5 |
There's no related Drug. |
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Cross referenced IDs for RPS5 |
* 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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