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Center for Computational Systems Medicine
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Fusion Gene Summary

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Fusion Gene ORF analysis

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Fusion Genomic Features

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Fusion Protein Features

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Fusion Gene Sequence

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Fusion Gene PPI analysis

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Related Drugs

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Related Diseases

Fusion gene:MAP2K7-NBPF14 (FusionGDB2 ID:51235)

Fusion Gene Summary for MAP2K7-NBPF14

check button Fusion gene summary
Fusion gene informationFusion gene name: MAP2K7-NBPF14
Fusion gene ID: 51235
HgeneTgene
Gene symbol

MAP2K7

NBPF14

Gene ID

5609

25832

Gene namemitogen-activated protein kinase kinase 7NBPF member 14
SynonymsJNKK2|MAPKK7|MEK|MEK 7|MKK7|PRKMK7|SAPKK-4|SAPKK4DJ328E19.C1.1|NBPF
Cytomap

19p13.2

1q21.2

Type of geneprotein-codingprotein-coding
Descriptiondual specificity mitogen-activated protein kinase kinase 7JNK-activating kinase 2MAP kinase kinase 7MAPK/ERK kinase 7SAPK kinase 4c-Jun N-terminal kinase kinase 2stress-activated protein kinase kinase 4neuroblastoma breakpoint family member 14AE5
Modification date2020031320200313
UniProtAcc

O14733

Q5TI25

Ensembl transtripts involved in fusion geneENST00000397979, ENST00000397981, 
ENST00000545011, ENST00000397983, 
ENST00000369219, 
Fusion gene scores* DoF score6 X 6 X 3=1082 X 2 X 2=8
# samples 72
** MAII scorelog2(7/108*10)=-0.625604485218502
possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs).
DoF>8 and MAII<0
log2(2/8*10)=1.32192809488736
Context

PubMed: MAP2K7 [Title/Abstract] AND NBPF14 [Title/Abstract] AND fusion [Title/Abstract]

Most frequent breakpointMAP2K7(7979363)-NBPF14(145299057), # samples:1
Anticipated loss of major functional domain due to fusion event.
* DoF score (Degree of Frequency) = # partners X # break points X # cancer types
** MAII score (Major Active Isofusion Index) = log2(# samples/DoF score*10)

check button Gene ontology of each fusion partner gene with evidence of Inferred from Direct Assay (IDA) from Entrez
PartnerGeneGO IDGO termPubMed ID
HgeneMAP2K7

GO:0006970

response to osmotic stress

9535930

HgeneMAP2K7

GO:0009408

response to heat

9535930

HgeneMAP2K7

GO:0009411

response to UV

9535930

HgeneMAP2K7

GO:0034612

response to tumor necrosis factor

9535930

HgeneMAP2K7

GO:0051403

stress-activated MAPK cascade

9535930


check buttonFusion gene breakpoints across MAP2K7 (5'-gene)
* Click on the image to open the UCSC genome browser with custom track showing this image in a new window.

check buttonFusion gene breakpoints across NBPF14 (3'-gene)
* Click on the image to open the UCSC genome browser with custom track showing this image in a new window.

check button Fusion gene information from two resources (ChiTars 5.0 and ChimerDB 4.0)
* All genome coordinats were lifted-over on hg19.
* Click on the break point to see the gene structure around the break point region using the UCSC Genome Browser.
SourceDiseaseSampleHgeneHchrHbpHstrandTgeneTchrTbpTstrand
ChiTaRS5.0N/AAV682333MAP2K7chr19

7979363

+NBPF14chr1

145299057

-


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Fusion Gene ORF analysis for MAP2K7-NBPF14

check button Open reading frame (ORF) analsis of fusion genes based on Ensembl gene isoform structure.
* Click on the break point to see the gene structure around the break point region using the UCSC Genome Browser.
ORFHenstTenstHgeneHchrHbpHstrandTgeneTchrTbpTstrand
5CDS-intronENST00000397979ENST00000369219MAP2K7chr19

7979363

+NBPF14chr1

145299057

-
5CDS-intronENST00000397981ENST00000369219MAP2K7chr19

7979363

+NBPF14chr1

145299057

-
5CDS-intronENST00000545011ENST00000369219MAP2K7chr19

7979363

+NBPF14chr1

145299057

-
intron-intronENST00000397983ENST00000369219MAP2K7chr19

7979363

+NBPF14chr1

145299057

-

check buttonORFfinder result based on the fusion transcript sequence of in-frame fusion genes.
HenstTenstHgeneHchrHbpHstrandTgeneTchrTbpTstrandSeq length
(transcript)
BP loci
(transcript)
Predicted start
(transcript)
Predicted stop
(transcript)
Seq length
(amino acids)

check buttonDeepORF prediction of the coding potential based on the fusion transcript sequence of in-frame fusion genes. DeepORF is a coding potential classifier based on convolutional neural network by comparing the real Ribo-seq data. If the no-coding score < 0.5 and coding score > 0.5, then the in-frame fusion transcript is predicted as being likely translated.
HenstTenstHgeneHchrHbpHstrandTgeneTchrTbpTstrandNo-coding scoreCoding score

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Fusion Genomic Features for MAP2K7-NBPF14


check buttonFusionAI prediction of the potential fusion gene breakpoint based on the pre-mature RNA sequence context (+/- 5kb of individual partner genes, total 20kb length sequence). FusionAI is a fusion gene breakpoint classifier based on convolutional neural network by comparing the fusion positive and negative sequence context of ~ 20K fusion gene data. From here, we can have the relative potentency of the 20K genomic sequence how individual sequnce will be likely used as the gene fusion breakpoints.
HgeneHchrHbpHstrandTgeneTchrTbpTstrand1-pp (fusion gene breakpoint)

check buttonDistribution of 44 human genomic features loci across 20kb length fusion breakpoint regions. We integrated a total of 44 different types of human genomic feature loci information across five big categories including virus integration sites, repeats, structural variants, chromatin states, and gene expression regulation. More details are in help page.

check buttonDistribution of 44 human genomic features loci across 20kb length fusion breakpoint regions that are ovelapped with the top 1% feature importance score regions. More details are in help page.

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Fusion Protein Features for MAP2K7-NBPF14


check button Four levels of functional features of fusion genes
Go to FGviewer search page for the most frequent breakpoint (https://ccsmweb.uth.edu/FGviewer/:7979363/:145299057)
- FGviewer provides the online visualization of the retention search of the protein functional features across DNA, RNA, protein, and pathological levels.
- How to search
1. Put your fusion gene symbol.
2. Press the tab key until there will be shown the breakpoint information filled.
4. Go down and press 'Search' tab twice.
4. Go down to have the hyperlink of the search result.
5. Click the hyperlink.
6. See the FGviewer result for your fusion gene.
FGviewer

check buttonMain function of each fusion partner protein. (from UniProt)
HgeneTgene
MAP2K7

O14733

NBPF14

Q5TI25

FUNCTION: Dual specificity protein kinase which acts as an essential component of the MAP kinase signal transduction pathway. Essential component of the stress-activated protein kinase/c-Jun N-terminal kinase (SAP/JNK) signaling pathway. With MAP2K4/MKK4, is the one of the only known kinase to directly activate the stress-activated protein kinase/c-Jun N-terminal kinases MAPK8/JNK1, MAPK9/JNK2 and MAPK10/JNK3. MAP2K4/MKK4 and MAP2K7/MKK7 both activate the JNKs by phosphorylation, but they differ in their preference for the phosphorylation site in the Thr-Pro-Tyr motif. MAP2K4/MKK4 shows preference for phosphorylation of the Tyr residue and MAP2K7/MKK7 for the Thr residue. The monophosphorylation of JNKs on the Thr residue is sufficient to increase JNK activity indicating that MAP2K7/MKK7 is important to trigger JNK activity, while the additional phosphorylation of the Tyr residue by MAP2K4/MKK4 ensures optimal JNK activation. Has a specific role in JNK signal transduction pathway activated by proinflammatory cytokines. The MKK/JNK signaling pathway is also involved in mitochondrial death signaling pathway, including the release cytochrome c, leading to apoptosis. Part of a non-canonical MAPK signaling pathway, composed of the upstream MAP3K12 kinase and downstream MAP kinases MAPK1/ERK2 and MAPK3/ERK1, that enhances the AP-1-mediated transcription of APP in response to APOE (PubMed:28111074). {ECO:0000269|PubMed:28111074, ECO:0000269|PubMed:9312068, ECO:0000269|PubMed:9372971, ECO:0000269|PubMed:9535930, ECO:0000269|Ref.5}.

check buttonRetention analysis result of each fusion partner protein across 39 protein features of UniProt such as six molecule processing features, 13 region features, four site features, six amino acid modification features, two natural variation features, five experimental info features, and 3 secondary structure features. Here, because of limited space for viewing, we only show the protein feature retention information belong to the 13 regional features. All retention annotation result can be downloaded at

download page


* Minus value of BPloci means that the break pointn is located before the CDS.
- In-frame and retained protein feature among the 13 regional features.
PartnerGeneHbpTbpENSTStrandBPexonTotalExonProtein feature loci*BPlociTotalLenProtein featureProtein feature note

- In-frame and not-retained protein feature among the 13 regional features.
PartnerGeneHbpTbpENSTStrandBPexonTotalExonProtein feature loci*BPlociTotalLenProtein featureProtein feature note


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Fusion Gene Sequence for MAP2K7-NBPF14


check button For in-frame fusion transcripts, we provide the fusion transcript sequences and fusion amino acid sequences. To have fusion amino acid sequence, we ran ORFfinder and chose the longest ORF among the all predicted ones.

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Fusion Gene PPI Analysis for MAP2K7-NBPF14


check button Go to ChiPPI (Chimeric Protein-Protein interactions) to see the chimeric PPI interaction in

ChiPPI page.


check button Protein-protein interactors with each fusion partner protein in wild-type (BIOGRID-3.4.160)
HgeneHgene's interactorsTgeneTgene's interactors


check button - Retained PPIs in in-frame fusion.
PartnerGeneHbpTbpENSTStrandBPexonTotalExonProtein feature loci*BPlociTotalLenStill interaction with


check button - Lost PPIs in in-frame fusion.
PartnerGeneHbpTbpENSTStrandBPexonTotalExonProtein feature loci*BPlociTotalLenInteraction lost with


check button - Retained PPIs, but lost function due to frame-shift fusion.
PartnerGeneHbpTbpENSTStrandBPexonTotalExonProtein feature loci*BPlociTotalLenInteraction lost with


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Related Drugs for MAP2K7-NBPF14


check button Drugs targeting genes involved in this fusion gene.
(DrugBank Version 5.1.8 2021-05-08)
PartnerGeneUniProtAccDrugBank IDDrug nameDrug activityDrug typeDrug status

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Related Diseases for MAP2K7-NBPF14


check button Diseases associated with fusion partners.
(DisGeNet 4.0)
PartnerGeneDisease IDDisease name# pubmedsSource