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Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for IMPDH2 |
Basic gene info. | Gene symbol | IMPDH2 |
Gene name | IMP (inosine 5'-monophosphate) dehydrogenase 2 | |
Synonyms | IMPD2|IMPDH-II | |
Cytomap | UCSC genome browser: 3p21.2 | |
Genomic location | chr3 :49061761-49066875 | |
Type of gene | protein-coding | |
RefGenes | NM_000884.2, | |
Ensembl id | ENSG00000178035 | |
Description | IMP (inosine monophosphate) dehydrogenase 2IMP oxireductase 2IMPD 2IMPDH 2inosine 5' phosphate dehydrogenase 2inosine monophosphate dehydrogenase type IIinosine-5'-monophosphate dehydrogenase 2 | |
Modification date | 20141207 | |
dbXrefs | MIM : 146691 | |
HGNC : HGNC | ||
Ensembl : ENSG00000178035 | ||
HPRD : 00895 | ||
Vega : OTTHUMG00000156771 | ||
Protein | UniProt: go to UniProt's Cross Reference DB Table | |
Expression | CleanEX: HS_IMPDH2 | |
BioGPS: 3615 | ||
Gene Expression Atlas: ENSG00000178035 | ||
The Human Protein Atlas: ENSG00000178035 | ||
Pathway | NCI Pathway Interaction Database: IMPDH2 | |
KEGG: IMPDH2 | ||
REACTOME: IMPDH2 | ||
ConsensusPathDB | ||
Pathway Commons: IMPDH2 | ||
Metabolism | MetaCyc: IMPDH2 | |
HUMANCyc: IMPDH2 | ||
Regulation | Ensembl's Regulation: ENSG00000178035 | |
miRBase: chr3 :49,061,761-49,066,875 | ||
TargetScan: NM_000884 | ||
cisRED: ENSG00000178035 | ||
Context | iHOP: IMPDH2 | |
cancer metabolism search in PubMed: IMPDH2 | ||
UCL Cancer Institute: IMPDH2 | ||
Assigned class in ccmGDB | C |
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Phenotypic Information for IMPDH2(metabolism pathway, cancer, disease, phenome) |
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Cancer | CGAP: IMPDH2 |
Familial Cancer Database: IMPDH2 |
* 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/ |
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KEGG_PURINE_METABOLISM KEGG_DRUG_METABOLISM_OTHER_ENZYMES REACTOME_METABOLISM_OF_NUCLEOTIDES REACTOME_PURINE_METABOLISM |
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OMIM | |
Orphanet | |
Disease | KEGG Disease: IMPDH2 |
MedGen: IMPDH2 (Human Medical Genetics with Condition) | |
ClinVar: IMPDH2 | |
Phenotype | MGI: IMPDH2 (International Mouse Phenotyping Consortium) |
PhenomicDB: IMPDH2 |
Mutations for IMPDH2 |
* 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 IMPDH2 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 |
BU675368 | IMPDH2 | 7 | 123 | 3 | 49061758 | 49061967 | IMPDH2 | 109 | 484 | 3 | 49061814 | 49062452 |
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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=35) | (# total SNVs=18) |
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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 |
chr3:49065296-49065296 | p.R126R | 3 |
chr3:49065703-49065703 | p.A101V | 2 |
chr3:49064262-49064262 | p.D226G | 2 |
chr3:49063960-49063960 | p.G301A | 2 |
chr3:49062587-49062587 | p.A374A | 2 |
chr3:49064436-49064436 | p.I192I | 1 |
chr3:49062338-49062338 | p.R429K | 1 |
chr3:49062644-49062644 | p.R355R | 1 |
chr3:49065295-49065295 | p.V127M | 1 |
chr3:49064190-49064190 | p.I250S | 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 | 3 | 2 |   | 10 | 2 |   | 1 |   | 2 |   |   | 2 | 1 | 1 |   |   | 3 | 4 | 2 | 6 |
# mutation | 3 | 2 |   | 10 | 2 |   | 1 |   | 2 |   |   | 2 | 1 | 1 |   |   | 3 | 4 | 2 | 8 |
nonsynonymous SNV | 2 | 1 |   | 6 |   |   |   |   | 2 |   |   | 2 | 1 |   |   |   | 1 | 2 | 2 | 3 |
synonymous SNV | 1 | 1 |   | 4 | 2 |   | 1 |   |   |   |   |   |   | 1 |   |   | 2 | 2 |   | 5 |
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 |
chr3:49064262 | p.D226G | 2 |
chr3:49066721 | p.R161K | 1 |
chr3:49062388 | p.R355R | 1 |
chr3:49064248 | p.S159F | 1 |
chr3:49065256 | p.R355W | 1 |
chr3:49066745 | p.I330T | 1 |
chr3:49062461 | p.C140C | 1 |
chr3:49065295 | p.R322Q | 1 |
chr3:49062587 | p.C140S | 1 |
chr3:49064276 | p.N303I | 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 IMPDH2 |
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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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ACY1,DALRD3,GNB2L1,IMPDH2,QARS,RPL10A,RPL13A, RPL14,RPL15,RPL26,RPL29,RPL3,RPL41,RPL7A, RPLP0,RPS14,RPS23,RPS5,RPSA,RPSAP58,SNHG8 | ALKBH2,C19orf48,EEF1G,EIF3D,FBL,GNB2L1,IMPDH2, NOB1,RPL10A,RPL12,RPL13A,RPL3,RPL7A,RPLP0, RPS18,RPS19,RPS2,RPS3,RPS5,RPS8,RPSAP58 | ||||
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C19orf48,EEF1A1P9,EEF1G,EEF2,EIF3D,EIF3L,HNRNPA1L2, IMPDH2,NDUFV1,NLE1,POLL,QARS,RPL12,RPL13A, RPL29,RPL3,RPLP0,RPS2,RPS29,RPSAP58,TKT | C19orf48,CHTF8,EEF1G,EIF3D,EXOSC5,FBL,GNB2L1, HNRNPA1L2,IMPDH2,KDM1A,NARS2,NLE1,NOB1,NONO, PTDSS1,RPL23A,RPL3,RPS12,RPS2,THG1L,TRAP1 |
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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 IMPDH2 |
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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 |
DB00157 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | approved; nutraceutical | NADH | ![]() | ![]() |
DB00688 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | approved; investigational | Mycophenolate mofetil | ![]() | ![]() |
DB01024 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | approved | Mycophenolic acid | ![]() | ![]() |
DB01693 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | experimental | Ribavirin Monophosphate | ![]() | ![]() |
DB01907 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | experimental | Nicotinamide-Adenine-Dinucleotide | ![]() | ![]() |
DB03070 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | experimental | Selenazole-4-Carboxyamide-Adenine Dinucleotide | ![]() | ![]() |
DB03948 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | experimental | 6-Chloropurine Riboside, 5'-Monophosphate | ![]() | ![]() |
DB04566 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | experimental | Inosinic Acid | ![]() | ![]() |
DB00993 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | approved | Azathioprine | ![]() | ![]() |
DB00158 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | approved; nutraceutical | Folic Acid | ![]() | ![]() |
DB00563 | IMP (inosine 5'-monophosphate) dehydrogenase 2 | approved | Methotrexate | ![]() | ![]() |
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Cross referenced IDs for IMPDH2 |
* 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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