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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for SMPD1 |
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Phenotypic Information for SMPD1(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: SMPD1 |
Familial Cancer Database: SMPD1 |
* This gene is included in those cancer gene databases. |
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 | |
KEGG_SPHINGOLIPID_METABOLISM REACTOME_GLYCOSPHINGOLIPID_METABOLISM REACTOME_PHOSPHOLIPID_METABOLISM REACTOME_SPHINGOLIPID_METABOLISM REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: SMPD1 |
MedGen: SMPD1 (Human Medical Genetics with Condition) | |
ClinVar: SMPD1 | |
Phenotype | MGI: SMPD1 (International Mouse Phenotyping Consortium) |
PhenomicDB: SMPD1 |
Mutations for SMPD1 |
* 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 SMPD1 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 |
AW951504 | MAGEA4 | 1 | 144 | X | 151092694 | 151092837 | SMPD1 | 141 | 493 | 11 | 6413115 | 6414884 | |
BP375800 | SMPD1 | 4 | 423 | 11 | 6411708 | 6412128 | TRPC4 | 420 | 582 | 13 | 38357388 | 38443784 | |
AA378043 | MAGEA4 | 1 | 144 | X | 151092693 | 151092837 | SMPD1 | 141 | 317 | 11 | 6413115 | 6413288 | |
BF853689 | SMPD1 | 54 | 256 | 11 | 6414495 | 6414926 | SMPD1 | 252 | 456 | 11 | 6415198 | 6415558 | |
AK057846 | NIPA1 | 1 | 1914 | 15 | 23044062 | 23086291 | SMPD1 | 1897 | 2065 | 11 | 6416059 | 6416227 |
Other DBs for Structural Variants |
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Copy Number Variations in COSMIC: go to COSMIC mutation CNV/Expr |
There's no copy number variation information in COSMIC data for this gene. |
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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=43) | (# total SNVs=12) |
(# total SNVs=4) | (# total SNVs=2) |
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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 |
chr11:6411935-6411935 | p.V36A | 4 |
chr11:6412931-6412931 | p.D212D | 2 |
chr11:6412745-6412745 | p.R150R | 2 |
chr11:6413332-6413332 | p.A346V | 2 |
chr11:6411931-6411942 | p.V36_L39delVLAL | 2 |
chr11:6413196-6413196 | p.V301I | 2 |
chr11:6414911-6414911 | p.R399Q | 2 |
chr11:6415463-6415463 | p.G464R | 1 |
chr11:6411960-6411960 | p.A44A | 1 |
chr11:6413100-6413100 | p.A269P | 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 | 4 | 1 |   | 9 |   |   | 1 |   | 1 |   |   | 3 | 4 | 1 |   |   | 3 | 7 |   | 10 |
# mutation | 4 | 1 |   | 10 |   |   | 1 |   | 1 |   |   | 3 | 4 | 1 |   |   | 3 | 8 |   | 10 |
nonsynonymous SNV | 4 |   |   | 8 |   |   | 1 |   | 1 |   |   | 2 | 4 |   |   |   | 2 | 6 |   | 7 |
synonymous SNV |   | 1 |   | 2 |   |   |   |   |   |   |   | 1 |   | 1 |   |   | 1 | 2 |   | 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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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 |
chr11:6414487 | p.R378H,SMPD1 | 2 |
chr11:6414911 | p.R443Q,SMPD1 | 2 |
chr11:6413381 | p.D212G,SMPD1 | 1 |
chr11:6412809 | p.A346V,SMPD1 | 1 |
chr11:6415662 | p.T588T,SMPD1 | 1 |
chr11:6413100 | p.L216L,SMPD1 | 1 |
chr11:6414465 | p.A357D,SMPD1 | 1 |
chr11:6412896 | p.S600S,SMPD1 | 1 |
chr11:6415691 | p.R230C,SMPD1 | 1 |
chr11:6413117 | p.E358K,SMPD1 | 1 |
Other DBs for Point Mutations |
Copy Number for SMPD1 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 SMPD1 |
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 |
CERCAM,CHID1,CHPF,CLEC11A,COPZ2,FAM20C,GPC1, IFI27L2,ILK,LEPRE1,LRPAP1,MRC2,MXRA8,NAGLU, RNH1,SDF4,SLC39A13,SMPD1,TGFB1,TSPAN4,VENTX | ACP2,ACTR1A,AP2S1,ATP6V0D1,BLVRB,LAMTOR1,CCM2, DHRS7B,NDUFAF3,OAZ1,PSEN2,PSMB6,PSMC4,RNH1, RNPEPL1,LAMTOR2,SEC13,SERF2,SLC2A8,SMPD1,UROD | ||||
C11orf86,LINC00520,C1orf94,CAPN11,CDHR2,CIDEC,CLCA4, CLDN23,DHRS9,GLRA4,GUCA2A,GUCA2B,FAM214B,MYPN, OR2G3,RSAD2,SMPD1,TRANK1,UGT1A4,UGT1A5,VSIG1 | ARHGEF18,BSG,CAB39,CEACAM5,CGN,CTNNA1,FBLIM1, GBA,GBAP1,GNA13,GPRC5A,KIF16B,LRP10,PEX26, PLAC8,RHOF,SMPD1,SPATS2L,STX3,TBC1D2,TMEM127 |
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 SMPD1 |
Cross-referenced pharmacological DB IDs from Uniprot |
DB Category | DB Name | DB's ID and Url link |
Drug-Gene Interaction Network |
* Gene Centered Interaction Network. |
* Drug Centered Interaction Network. |
DrugBank ID | Target Name | Drug Groups | Generic Name | Drug Centered Network | Drug Structure |
DB01151 | sphingomyelin phosphodiesterase 1, acid lysosomal | approved | Desipramine | ||
DB00143 | sphingomyelin phosphodiesterase 1, acid lysosomal | approved; nutraceutical | Glutathione |
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Cross referenced IDs for SMPD1 |
* 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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