Cancer Cell Metabolism Gene Database

  Cancer Cell Metabolism Gene DB

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Gene Summary

Phenotypic Information (metabolism pathway, cancer, disease, phenome)

Mutations: SVs, CNVs, SNVs

Gene expression: GE, Protein, DEGE, CNV vs GE

Gene-Gene Network Information: Co-Expression Network, Interacting Genes & KEGG

Pharmacological Information: Drug-Gene Network

Cross referenced IDs

Gene Summary for NFYB
Basic gene info.Gene symbolNFYB
Gene namenuclear transcription factor Y, beta
SynonymsCBF-A|CBF-B|HAP3|NF-YB
CytomapUCSC genome browser: 12q22-q23
Genomic locationchr12 :104510857-104532040
Type of geneprotein-coding
RefGenesNM_006166.3,
Ensembl idENSG00000120837
DescriptionCAAT box DNA-binding protein subunit BCCAAT-binding transcription factor subunit ATranscription factor NF-Y, B subunitnuclear transcription factor Y subunit Bnuclear transcription factor Y subunit beta
Modification date20141207
dbXrefs MIM : 189904
HGNC : HGNC
Ensembl : ENSG00000120837
HPRD : 01794
Vega : OTTHUMG00000170176
ProteinUniProt: P25208
go to UniProt's Cross Reference DB Table
ExpressionCleanEX: HS_NFYB
BioGPS: 4801
Gene Expression Atlas: ENSG00000120837
The Human Protein Atlas: ENSG00000120837
PathwayNCI Pathway Interaction Database: NFYB
KEGG: NFYB
REACTOME: NFYB
ConsensusPathDB
Pathway Commons: NFYB
MetabolismMetaCyc: NFYB
HUMANCyc: NFYB
RegulationEnsembl's Regulation: ENSG00000120837
miRBase: chr12 :104,510,857-104,532,040
TargetScan: NM_006166
cisRED: ENSG00000120837
ContextiHOP: NFYB
cancer metabolism search in PubMed: NFYB
UCL Cancer Institute: NFYB
Assigned class in ccmGDBB - This gene belongs to cancer gene.

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Phenotypic Information for NFYB(metabolism pathway, cancer, disease, phenome)
check002.gifCancer Description
Cancer CGAP: NFYB
Familial Cancer Database: NFYB
* This gene is included in those cancer gene databases.

.

Oncogene 1

Tumor Suppressor gene 2

Cancer Gene Census 3

CancerGenes 4

Network of Cancer Gene 5

Significant driver gene in

Therapeutic Vulnerabilities in Cancer1

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/

check002.gifMetabolic Pathway Description
REACTOME_METABOLISM_OF_LIPIDS_AND_LIPOPROTEINS

check002.gifOthers
OMIM 189904; gene.
Orphanet
DiseaseKEGG Disease: NFYB
MedGen: NFYB (Human Medical Genetics with Condition)
ClinVar: NFYB
PhenotypeMGI: NFYB (International Mouse Phenotyping Consortium)
PhenomicDB: NFYB

Mutations for NFYB
* 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.

check002.gifStructural Variants in COSMIC: go to COSMIC mutation histogram
There's no structural variation information in COSMIC data for this gene.

check002.gifRelated fusion transcripts : go to Chitars2.0
* From mRNA Sanger sequences, Chitars2.0 arranged chimeric transcripts. This table shows NFYB related fusion information.
IDHead GeneTail Gene
AccessionGene_aqStart_aqEnd_aChromosome_atStart_atEnd_aGene_aqStart_aqEnd_aChromosome_atStart_atEnd_a
BG427715BRCA12172174127761841277789NFYB17070412104515074104529311
AL043727NFYB141212104510880104511290DNAH140263535235466652354900

check002.gifOther DBs for Structural Variants
Structural Variants in Ensembl: go to Ensembl Structural variation
Structural Variants in dbVar: go to dbVar

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check002.gifCopy 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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check002.gifSNV Counts per Each Loci in COSMIC data: go to COSMIC point mutation

 : Non-synonymous mutation, : Synonymous mutation, Circle size denotes number of samples.
Maximum mutation count=1

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check002.gifSomatic Mutation Counts per Tissue in COSMIC data
Stat. for Non-Synonymous SNVs
(# total SNVs=10)
Stat. for Synonymous SNVs
(# total SNVs=2)
Stat. for Deletions
(# total SNVs=0)
Stat. for Insertions
(# total SNVs=0)
There's no deleted snv.There's no inserted snv.

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check002.gifTop 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 positionMutation(aa)Unique sampleID count
chr12:104519903-104519903p.Q74*1
chr12:104517017-104517017p.Q139R1
chr12:104519919-104519919p.M68I1
chr12:104517031-104517031p.L134L1
chr12:104519950-104519950p.Y58S1
chr12:104517046-104517046p.S129R1
chr12:104519998-104519998p.H42R1
chr12:104517051-104517051p.D128N1
chr12:104520007-104520007p.M39T1
chr12:104517081-104517081p.I118V1

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check002.gifSNV Counts per Each Loci in TCGA data

 : non-synonymous mutation, : synonymous mutation, Circle size denotes number of samples.
maximum mutation count=1

Point Mutation/ Tissue ID1234567891011121314151617181920
# sample 1 21      1    3  2
# mutation 1 21      1    3  2
nonsynonymous SNV   21      1    3  2
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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check002.gifTop 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 PositionMutation(aa)Unique sampleID count
chr12:104517017p.L134L1
chr12:104517031p.S129R1
chr12:104517046p.I118V1
chr12:104517081p.A101G1
chr12:104517131p.M68I1
chr12:104519919p.H42R1
chr12:104519998p.M39T1
chr12:104520007p.G183C1
chr12:104514222p.G177C1
chr12:104514240p.Q139R1

check002.gifOther DBs for Point Mutations
Point Mutation Table of Ensembl: go to Ensembl variation table
Mutation of cBioPortal: go to cBioPortal's Cross-cancer alteration summary

check002.gifCopy Number for NFYB 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 NFYB

check002.gifGene 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.

check002.gifDifferential 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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check002.gifCNV vs Gene Expression Plot
* This plots show the correlation between CNV and gene expression.

: Open all plots for all cancer types


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Gene-Gene Network Information
check002.gifCo-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

: Open all plots for all cancer types

ACTR6,BRAP,PARPBP,DEPDC4,IFT81,METAP2,MRPL42,
NFYB,NR2C1,NUP37,POLR3B,PPP1CC,PWP1,RFC5,
RSRC2,SUDS3,TDG,TMPO,UBE2N,ZNF140,ZNF84
ATG5,CLDND1,DEK,FBXL3,GABPA,HMGB1,KDSR,
LIN7C,MIER1,NFYB,PCGF5,PCNP,BLOC1S6,PLEKHA3,
RNF219,SREK1IP1,SMNDC1,SYPL1,TROVE2,TWSG1,UBE2Q2

AEBP2,BBS10,ARL14EP,CCAR1,CEP83,CCDC59,CDK17,
DENR,MDM1,MPHOSPH10,NAP1L1,NEDD1,NFYB,PCGF6,
PPHLN1,PPP1R12A,TCEAL4,YAF2,ZCRB1,ZDHHC17,ZNF140
ASB5,B3GALNT1,BRMS1L,CCDC169,FAM229B,CFAP36,EIF5A2,
FGF10,FYTTD1,GNB4,HDGFRP3,IL33,LOC399959,LOH12CR2,
NFYB,NME4,REXO2,SNCA,SOX2-OT,TMEM74,TPD52L1
check002.gifCo-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

: Open all plots for all cancer types

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check002.gifInteracting Genes (from Pathway Commons)

: Open all interacting genes' information including KEGG pathway for all interacting genes from DAVID

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Pharmacological Information for NFYB


There's no related Drug.
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Cross referenced IDs for NFYB
* We obtained these cross-references from Uniprot database. It covers 150 different DBs, 18 categories. http://www.uniprot.org/help/cross_references_section

: Open all cross reference information



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