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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for SPTLC1 |
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Phenotypic Information for SPTLC1(metabolism pathway, cancer, disease, phenome) |
Cancer Description | |
Cancer | CGAP: SPTLC1 |
Familial Cancer Database: SPTLC1 |
* 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_PHOSPHOLIPID_METABOLISM REACTOME_SPHINGOLIPID_METABOLISM REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS |
Others | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: SPTLC1 |
MedGen: SPTLC1 (Human Medical Genetics with Condition) | |
ClinVar: SPTLC1 | |
Phenotype | MGI: SPTLC1 (International Mouse Phenotyping Consortium) |
PhenomicDB: SPTLC1 |
Mutations for SPTLC1 |
* 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 SPTLC1 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 |
AK309775 | MRPL51 | 1 | 337 | 12 | 6601611 | 6602426 | SPTLC1 | 334 | 1311 | 9 | 94794734 | 94830350 | |
DA774691 | MRPL51 | 1 | 337 | 12 | 6601611 | 6602426 | SPTLC1 | 334 | 555 | 9 | 94821472 | 94830350 | |
AI065091 | ITIH3 | 1 | 74 | 3 | 52839263 | 52839336 | SPTLC1 | 75 | 716 | 9 | 94809464 | 94830379 | |
BG951421 | ACSS1 | 4 | 220 | 20 | 24987624 | 24987843 | SPTLC1 | 202 | 439 | 9 | 94794795 | 94800648 | |
BF803026 | SPTLC1 | 1 | 80 | 9 | 94821117 | 94821587 | SPTLC1 | 76 | 132 | 9 | 94842298 | 94842354 | |
BF832583 | PLD5 | 414 | 439 | 1 | 242655244 | 242655281 | SPTLC1 | 430 | 489 | 9 | 94802700 | 94802759 |
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=29) | (# total SNVs=14) |
(# total SNVs=2) | (# total SNVs=0) |
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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 |
chr9:94842338-94842338 | p.G129G | 3 |
chr9:94821591-94821591 | p.? | 2 |
chr9:94809461-94809461 | p.E358D | 2 |
chr9:94843163-94843164 | p.P115S | 2 |
chr9:94843197-94843197 | p.F103F | 2 |
chr9:94877644-94877644 | p.T3T | 2 |
chr9:94821582-94821582 | p.A190V | 1 |
chr9:94800620-94800620 | p.E388D | 1 |
chr9:94874764-94874764 | p.L46F | 1 |
chr9:94809924-94809924 | p.C319G | 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 | 2 | 3 |   | 7 |   |   |   |   | 1 | 1 |   | 4 |   | 1 |   |   | 3 | 2 |   | 6 |
# mutation | 2 | 3 |   | 8 |   |   |   |   | 1 | 1 |   | 4 |   | 1 |   |   | 3 | 2 |   | 6 |
nonsynonymous SNV | 2 | 2 |   | 8 |   |   |   |   | 1 |   |   | 3 |   | 1 |   |   | 2 |   |   | 5 |
synonymous SNV |   | 1 |   |   |   |   |   |   |   | 1 |   | 1 |   |   |   |   | 1 | 2 |   | 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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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 |
chr9:94809461 | p.E358D,SPTLC1 | 2 |
chr9:94809515 | p.V9V,SPTLC1 | 1 |
chr9:94821582 | p.C255F,SPTLC1 | 1 |
chr9:94877644 | p.T3T,SPTLC1 | 1 |
chr9:94809914 | p.K230N,SPTLC1 | 1 |
chr9:94842318 | p.D228N,SPTLC1 | 1 |
chr9:94809915 | p.A477T | 1 |
chr9:94842338 | p.E227K,SPTLC1 | 1 |
chr9:94794708 | p.V451L | 1 |
chr9:94809924 | p.K222N,SPTLC1 | 1 |
Other DBs for Point Mutations |
Copy Number for SPTLC1 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 SPTLC1 |
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 |
C9orf41,TMEM245,INIP,FAM120A,FKTN,FUBP3,HIATL1, IARS,ISCA1,KIAA0368,NAA35,NOL8,RAB14,RAD23B, RNF20,SPIN1,SPTLC1,TSTD2,UBQLN1,ZBTB6,ZNF510 | BET1,CGGBP1,HIAT1,MIER1,PLEKHA3,RAB14,RAB18, SLC25A24,SLC30A5,SPTLC1,SSR1,TAF9B,TCEA1,TM9SF3, TMED7,TMX1,TRAM1,TROVE2,TWF1,YIPF5,ZMPSTE24 | ||||
ATP6V1G1,C3orf38,FAM206A,INIP,CRIPT,ISCA1,ISCA1P1, LOC441089,MOB4,MRPL50,NIPSNAP3A,PCNP,PDCD10,POLE3, PPP6C,RAB14,RFK,RMI1,SELT,SPTLC1,UBQLN1 | ABI1,ARFIP1,SMIM15,CDC42SE2,CMPK1,FAM105A,GMFB, MAL2,NDFIP2,NRAS,PEX13,RAB11A,SFT2D1,SLC35A3, SLC35F5,SPTLC1,STAMBP,TMEM9B,TWF1,VTA1,ZNRF2 |
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 SPTLC1 |
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 |
DB00114 | serine palmitoyltransferase, long chain base subunit 1 | nutraceutical | Pyridoxal Phosphate | ||
DB00133 | serine palmitoyltransferase, long chain base subunit 1 | approved; nutraceutical | L-Serine |
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Cross referenced IDs for SPTLC1 |
* 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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