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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for SEC61G |
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Phenotypic Information for SEC61G(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: SEC61G |
Familial Cancer Database: SEC61G |
* 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 |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: SEC61G |
MedGen: SEC61G (Human Medical Genetics with Condition) | |
ClinVar: SEC61G | |
Phenotype | MGI: SEC61G (International Mouse Phenotyping Consortium) |
PhenomicDB: SEC61G |
Mutations for SEC61G |
* 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 SEC61G 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 |
W28426 | SEC61G | 61 | 104 | 7 | 54823471 | 54823514 | ZNF446 | 100 | 489 | 19 | 58991482 | 58991868 | |
BP384146 | CREM | 1 | 77 | 10 | 35500659 | 35500735 | SEC61G | 76 | 500 | 7 | 54819946 | 54826908 |
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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 |   | 2 |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
GAIN (# sample) |   | 2 |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
LOSS (# sample) |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |
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=10) | (# total SNVs=1) |
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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 |
chr7:54823553-54823553 | p.A39V | 2 |
chr7:54823501-54823501 | p.L56F | 1 |
chr7:54823548-54823548 | p.A41T | 1 |
chr7:54825203-54825203 | p.K27E | 1 |
chr7:54825211-54825211 | p.R24K | 1 |
chr7:54825215-54825215 | p.K23E | 1 |
chr7:54820109-54820109 | p.G68S | 1 |
chr7:54825289-54825289 | p.? | 1 |
chr7:54823470-54823470 | p.? | 1 |
chr7:54823477-54823477 | p.I64I | 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 |   |   |   |   |   |   | 3 |
# mutation |   |   |   | 1 |   |   |   |   | 1 |   |   | 2 | 2 |   |   |   |   |   |   | 3 |
nonsynonymous SNV |   |   |   | 1 |   |   |   |   | 1 |   |   | 1 | 2 |   |   |   |   |   |   | 3 |
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 |
chr7:54823548 | p.K27E,SEC61G | 1 |
chr7:54825203 | p.R24K,SEC61G | 1 |
chr7:54825211 | p.K23E,SEC61G | 1 |
chr7:54825215 | p.G68S,SEC61G | 1 |
chr7:54820109 | p.I64I,SEC61G | 1 |
chr7:54823477 | p.I64T,SEC61G | 1 |
chr7:54823478 | p.H58R,SEC61G | 1 |
chr7:54823496 | p.L56F,SEC61G | 1 |
chr7:54823501 | p.A41T,SEC61G | 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 SEC61G |
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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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CCT6A,CHCHD2,CNGB1,CNTNAP4,DEFB118,EGFR,FXYD5, GBAS,COLGALT2,LANCL2,LSR,MET,MRPS17,NPPB, PHKG1,PSPH,SCX,SEC61G,SUMF2,VOPP1,ZNF713 | ACTR10,TMEM258,C4orf27,COX16,GTF2A2,KRT10,MGST2, NOP10,NUDCD2,PIGF,PRR13,PSMA2,RBX1,RNASEH2B, RPA3,RPS27L,SEC61G,TAF9,TOMM5,UBE2D2,ZBTB8OS |
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BUD31,MALSU1,CBX3,CHCHD2,COX17,GGCT,KDELR2, LSM5,MRPL32,MRPS17,MRPS24,PPIA,PSMA2,PSMG3, RAC1,RALA,RPA3,SEC61G,SHFM1,TOMM7,TRA2A | ACTR3,ANXA2,ANXA2P2,ATG4A,C20orf24,CAP1,ERP44, GNAI3,NDUFB3,PPP2R2A,PSMD11,PSMD12,RAB11A,RAB1A, RALB,SEC61G,SUGT1,TMED10,TSPAN8,TXNDC17,VPS26A |
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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 SEC61G |
There's no related Drug. |
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Cross referenced IDs for SEC61G |
* 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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