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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for RPL15 |
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Phenotypic Information for RPL15(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: RPL15 |
Familial Cancer Database: RPL15 |
* 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 | |
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Disease | KEGG Disease: RPL15 |
MedGen: RPL15 (Human Medical Genetics with Condition) | |
ClinVar: RPL15 | |
Phenotype | MGI: RPL15 (International Mouse Phenotyping Consortium) |
PhenomicDB: RPL15 |
Mutations for RPL15 |
* 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 RPL15 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 |
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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=3) |
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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 |
chr3:23960072-23960072 | p.? | 2 |
chr3:23959481-23959481 | p.R44Q | 2 |
chr3:23960025-23960025 | p.V89V | 1 |
chr3:23960045-23960045 | p.R96Q | 1 |
chr3:23960057-23960057 | p.S100F | 1 |
chr3:23960059-23960059 | p.V101F | 1 |
chr3:23959373-23959373 | p.Q8R | 1 |
chr3:23959375-23959375 | p.E9K | 1 |
chr3:23960716-23960716 | p.L113L | 1 |
chr3:23959437-23959437 | p.Q29H | 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 |   |   | 2 |   |   | 1 |   | 2 |   |   | 2 |
# mutation | 1 |   |   | 1 | 1 |   |   |   | 1 |   |   | 2 |   |   | 1 |   | 2 |   |   | 2 |
nonsynonymous SNV | 1 |   |   |   | 1 |   |   |   | 1 |   |   | 1 |   |   | 1 |   | 2 |   |   | 1 |
synonymous SNV |   |   |   | 1 |   |   |   |   |   |   |   | 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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* 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 |
chr3:23960059 | p.M1I,RPL15 | 1 |
chr3:23960716 | p.Q8R,RPL15 | 1 |
chr3:23960723 | p.E9K,RPL15 | 1 |
chr3:23960893 | p.R44Q,RPL15 | 1 |
chr3:23959353 | p.R49G,RPL15 | 1 |
chr3:23960910 | p.V89V,RPL15 | 1 |
chr3:23959373 | p.S100F,RPL15 | 1 |
chr3:23959375 | p.V101F,RPL15 | 1 |
chr3:23959481 | p.L113L,RPL15 | 1 |
chr3:23959495 | p.L116M,RPL15 | 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 RPL15 |
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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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GNB2L1,NACA,RPL11,RPL12,RPL14,RPL15,RPL24, RPL29,RPL32,RPL34,RPL4,RPL6,RPL7A,RPS13, RPS14,RPS18,RPS23,RPS4X,RPS8,RPSA,RPSAP58 | BTF3,C11orf1,CCT4,DPH5,EIF3H,EIF3M,RPL15, RPL22,RPL23A,RPL32,RPL34,RPL35A,RPL41,RPL6, RPS13,RPS15A,RPS27A,RPS29,RPS3A,RPS4X,RPS7 | ||||
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EEF1B2,RPL10A,RPL14,RPL15,RPL24,RPL29,RPL32, RPL35A,RPL5,RPS10,RPS13,RPS14,RPS18,RPS23, RPS3,RPS3A,RPS6,RPS8,RPS9,RPSA,RPSAP58 | BOD1,C12orf57,EEF1A1,EEF1A1P9,RPL10,RPL10A,RPL12, RPL14,RPL15,RPL24,RPL32,RPL35A,RPL3,RPL41, RPL5,RPL7A,RPS11,RPS13,RPS3A,RPS5,RPS8 |
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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 RPL15 |
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DB Category | DB Name | DB's ID and Url link |
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* Gene Centered Interaction Network. |
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* Drug Centered Interaction Network. |
DrugBank ID | Target Name | Drug Groups | Generic Name | Drug Centered Network | Drug Structure |
DB02494 | ribosomal protein L15 | experimental | Alpha-Hydroxy-Beta-Phenyl-Propionic Acid | ![]() | ![]() |
DB07374 | ribosomal protein L15 | experimental | ANISOMYCIN | ![]() | ![]() |
DB08437 | ribosomal protein L15 | experimental | PUROMYCIN | ![]() | ![]() |
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Cross referenced IDs for RPL15 |
* 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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