|
Phenotypic Information (metabolism pathway, cancer, disease, phenome) | |
Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG | |
Gene Summary for MED21 |
Top |
Phenotypic Information for MED21(metabolism pathway, cancer, disease, phenome) |
![]() | |
Cancer | CGAP: MED21 |
Familial Cancer Database: MED21 |
* 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/ |
![]() | |
REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS |
![]() | |
OMIM | |
Orphanet | |
Disease | KEGG Disease: MED21 |
MedGen: MED21 (Human Medical Genetics with Condition) | |
ClinVar: MED21 | |
Phenotype | MGI: MED21 (International Mouse Phenotyping Consortium) |
PhenomicDB: MED21 |
Mutations for MED21 |
* 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. |
![]() |
There's no structural variation information in COSMIC data for this gene. |
![]() |
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows MED21 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 |
AI435007 | MED21 | 1 | 170 | 12 | 27182513 | 27182682 | FBXO11 | 165 | 399 | 2 | 48034451 | 48034685 | |
AA662056 | MED21 | 1 | 170 | 12 | 27182501 | 27182670 | MED21 | 164 | 290 | 12 | 27182390 | 27182516 |
![]() |
Top |
![]() |
Mutation type/ Tissue ID | brca | cns | cerv | endome | haematopo | kidn | Lintest | liver | lung | ns | ovary | pancre | prost | skin | stoma | thyro | urina | |||
Total # sample | 1 |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
GAIN (# sample) | 1 |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   | |||
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) |
Top |
![]() |
|
![]() |
Top |
![]() |
Stat. for Non-Synonymous SNVs (# total SNVs=8) | (# total SNVs=0) |
![]() | |
(# total SNVs=0) | (# total SNVs=0) |
Top |
![]() |
* 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 |
chr12:27181274-27181274 | p.E105D | 1 |
chr12:27181288-27181288 | p.R110Q | 1 |
chr12:27181376-27181376 | p.Q139H | 1 |
chr12:27175556-27175556 | p.? | 1 |
chr12:27181386-27181386 | p.D143H | 1 |
chr12:27175562-27175562 | p.? | 1 |
chr12:27179378-27179378 | p.I23T | 1 |
chr12:27179427-27179427 | p.Q39H | 1 |
chr12:27180318-27180318 | p.A66T | 1 |
chr12:27180322-27180322 | p.K67T | 1 |
Top |
![]() |
|
![]() |
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 |   | 1 |
# mutation |   |   |   |   |   |   |   |   |   |   | 1 | 1 |   |   |   |   |   | 2 |   | 1 |
nonsynonymous SNV |   |   |   |   |   |   |   |   |   |   | 1 | 1 |   |   |   |   |   | 2 |   | 1 |
synonymous SNV |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |   |
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]) |
Top |
![]() |
* 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 |
chr12:27179378 | p.I23T,MED21 | 1 |
chr12:27179427 | p.Q39H,MED21 | 1 |
chr12:27180324 | p.R67I,MED21 | 1 |
chr12:27181274 | p.E105D | 1 |
chr12:27181376 | p.Q139H | 1 |
![]() |
![]() |
* 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] |
Top |
Gene Expression for MED21 |
![]() |
* CCLE gene expression data were extracted from CCLE_Expression_Entrez_2012-10-18.res: Gene-centric RMA-normalized mRNA expression data. |
![]() |
![]() |
* 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)) |
![]() |
Top |
![]() |
* This plots show the correlation between CNV and gene expression. |
![]() | |
![]() |
Top |
Gene-Gene Network Information |
![]() |
* 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 |
![]() | |
AEBP2,ASUN,CMAS,DERA,DNM1L,ERGIC2,ETNK1, FAM60A,FGFR1OP2,GOLT1B,IPO8,KDM5A,C2CD5,KLHL42, KRAS,MED21,MRPS35,RECQL,STK38L,STRAP,TM7SF3 | ATF1,C12orf29,MZT1,CNOT7,EIF1AX,LAMTOR3,MED21, MOB4,MOSPD1,ORC4,PCNP,PLEKHA1,PTGES3,RAB14, RCHY1,SMAD4,SYPL1,THAP5,UBQLN2,VTA1,ZCCHC10 |
![]() | |
ARNTL2,ASUN,C12orf71,CASC1,DLK1,FGFR1OP2,GPR112, GRK1,KLHL42,KRAS,LOC100133893,LYRM5,MED21,MRPS35, NR5A1,PPFIBP1,PROL1,SLC23A3,STAR,STK38L,TM7SF3 | ARL1,ASNSD1,BTF3L4,FAM204A,C11orf58,BRK1,CLDND1, DNAJC8,ERGIC2,GPN3,MED21,NMD3,PCNP,POLR2K, POLR3F,POT1,RAD1,RWDD1,TSEN15,ZCCHC17,ZCRB1 |
![]() |
* 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 |
Top |
![]() |
Top |
Pharmacological Information for MED21 |
There's no related Drug. |
Top |
Cross referenced IDs for MED21 |
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section |
Copyright © 2016-Present - The Univsersity of Texas Health Science Center at Houston @ |