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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for RPL10A |
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Phenotypic Information for RPL10A(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: RPL10A |
Familial Cancer Database: RPL10A |
* 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: RPL10A |
MedGen: RPL10A (Human Medical Genetics with Condition) | |
ClinVar: RPL10A | |
Phenotype | MGI: RPL10A (International Mouse Phenotyping Consortium) |
PhenomicDB: RPL10A |
Mutations for RPL10A |
* 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 RPL10A 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 |
DA314410 | RPL10A | 5 | 146 | 6 | 35436181 | 35436754 | DPP9 | 145 | 570 | 19 | 4714142 | 4723759 |
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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=8) | (# total SNVs=5) |
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(# total SNVs=1) | (# 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 |
chr6:35438059-35438059 | p.L138L | 2 |
chr6:35436793-35436793 | p.S50S | 2 |
chr6:35438047-35438047 | p.P135fs*17 | 1 |
chr6:35436212-35436212 | p.M1V | 1 |
chr6:35438049-35438049 | p.P135L | 1 |
chr6:35436591-35436591 | p.R7R | 1 |
chr6:35438057-35438057 | p.L138F | 1 |
chr6:35436650-35436650 | p.K27T | 1 |
chr6:35436736-35436736 | p.T31T | 1 |
chr6:35438370-35438370 | p.A166V | 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 |   | 2 |   |   | 2 |   |   | 1 |   | 1 |   | 1 |   | 1 |   |   | 1 | 2 |
# mutation | 1 | 1 |   | 2 |   |   | 2 |   |   | 1 |   | 1 |   | 1 |   | 1 |   |   | 1 | 2 |
nonsynonymous SNV | 1 |   |   | 2 |   |   |   |   |   |   |   |   |   | 1 |   | 1 |   |   | 1 | 1 |
synonymous SNV |   | 1 |   |   |   |   | 2 |   |   | 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 |
chr6:35436736 | p.T31T | 2 |
chr6:35438392 | p.M1V | 1 |
chr6:35438423 | p.R7R | 1 |
chr6:35436212 | p.L38F | 1 |
chr6:35438521 | p.Q71Q | 1 |
chr6:35436591 | p.P135L | 1 |
chr6:35436757 | p.L138F | 1 |
chr6:35437209 | p.L138L | 1 |
chr6:35438049 | p.A166V | 1 |
chr6:35438057 | p.K173N | 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 RPL10A |
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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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EEF1A1P9,EEF1B2,GNB2L1,RPL10,RPL10A,RPL11,RPL13A, RPL17,RPL31,RPL3,RPL37A,RPL41,RPL6,RPL7A, RPS10,RPS14,RPS18,RPS23,RPS4X,RPS8,RPS9 | EEF1B2,EEF1G,FBL,GNB2L1,RPL10,RPL10A,RPL12, RPL14,RPL5,RPL6,RPL7A,RPLP0,RPS14,RPS18, RPS2,RPS3,RPS4X,RPS5,RPS6,RPS8,RPSAP58 |
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EEF1A1,EEF1B2,RPL10A,RPL12,RPL15,RPL32,RPL36, RPL5,RPL7A,RPS10,RPS11,RPS14,RPS15A,RPS18, RPS23,RPS29,RPS3,RPS3A,RPS6,RPS8,RPS9 | BOD1,C12orf57,DPH5,EEF1A1P9,RPL10,RPL10A,RPL15, RPL24,RPL29,RPL32,RPL35A,RPL41,RPL5,RPL7A, RPS11,RPS13,RPS14,RPS3A,RPS5,RPS6,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 RPL10A |
There's no related Drug. |
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Cross referenced IDs for RPL10A |
* 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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