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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:HECA-FMO4 (FusionGDB2 ID:36005)

Fusion Gene Summary for HECA-FMO4

check button Fusion gene summary
Fusion gene informationFusion gene name: HECA-FMO4
Fusion gene ID: 36005
HgeneTgene
Gene symbol

HECA

FMO4

Gene ID

51696

2329

Gene namehdc homolog, cell cycle regulatorflavin containing dimethylaniline monoxygenase 4
SynonymsHDC|HDCL|HHDC|dJ225E12.1FMO2
Cytomap

6q24.1

1q24.3

Type of geneprotein-codingprotein-coding
Descriptionheadcase protein homologheadcase homologdimethylaniline monooxygenase [N-oxide-forming] 4FMO 4dimethylaniline oxidase 4flavin containing monooxygenase 4hepatic flavin-containing monooxygenase 4
Modification date2020031320200313
UniProtAcc

Q9UBI9

P31512

Ensembl transtripts involved in fusion geneENST00000367658, ENST00000367749, 
ENST00000462992, 
Fusion gene scores* DoF score3 X 2 X 3=182 X 4 X 2=16
# samples 32
** MAII scorelog2(3/18*10)=0.736965594166206
effective Gene in Pan-Cancer Fusion Genes (eGinPCFGs).
DoF>8 and MAII>0
log2(2/16*10)=0.321928094887362
effective Gene in Pan-Cancer Fusion Genes (eGinPCFGs).
DoF>8 and MAII>0
Context

PubMed: HECA [Title/Abstract] AND FMO4 [Title/Abstract] AND fusion [Title/Abstract]

Most frequent breakpointHECA(139501673)-FMO4(171308908), # 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
HgeneHECA

GO:0045930

negative regulation of mitotic cell cycle

19643820


check buttonFusion gene breakpoints across HECA (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 FMO4 (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/ABI010334HECAchr6

139501673

+FMO4chr1

171308908

-


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Fusion Gene ORF analysis for HECA-FMO4

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
3UTR-intronENST00000367658ENST00000367749HECAchr6

139501673

+FMO4chr1

171308908

-
3UTR-intronENST00000367658ENST00000462992HECAchr6

139501673

+FMO4chr1

171308908

-

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 HECA-FMO4


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 HECA-FMO4


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/:139501673/:171308908)
- 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
HECA

Q9UBI9

FMO4

P31512

FUNCTION: May play an important role in some human cancers. May be part of the regulatory mechanism in the development of epithelial tube networks such as the circulatory system and lungs. {ECO:0000303|PubMed:11696983}.FUNCTION: This protein is involved in the oxidative metabolism of a variety of xenobiotics such as drugs and pesticides.

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 HECA-FMO4


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 HECA-FMO4


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 HECA-FMO4


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 HECA-FMO4


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