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Center for Computational Systems Medicine
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Fusion Gene and Fusion Protein Summary

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Fusion Amino Acid Sequences (multiple BPs and multiple gene isoforms)

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Fusion Protein Breakpoint Sequences - (for the Screening of the FusionNeoAntigens)

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Potential FusionNeoAntigens in HLA I - (netMHCpan v4.1 + deepHLApan v1.1)

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Potential FusionNeoAntigens in HLA II - (netMHCIIpan v4.1)

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Fusion Breakpoint 14 AA Peptide Structure - (RoseTTAFold)

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Filtering FusionNeoAntigens Through Checking the Interaction with HLAs in 3D - (Glide)

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Vaccine Design for the FusionNeoAntigens (RNA/protein sequences)

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Potential target of CAR-T therapy development

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Information on the samples that have these potential fusion neoantigens

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Fusion Protein Targeting Drugs - (Manual Curation)

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Fusion Protein Related diseases - (Manual Curation)

Fusion Protein:RAPGEF6-USP33

Fusion Gene and Fusion Protein Summary

check button Fusion gene summary
Fusion partner gene informationFusion gene name: RAPGEF6-USP33
FusionPDB ID: 72267
FusionGDB2.0 ID: 72267
HgeneTgene
Gene symbol

RAPGEF6

USP33

Gene ID

51735

23032

Gene nameRap guanine nucleotide exchange factor 6ubiquitin specific peptidase 33
SynonymsKIA001LB|PDZ-GEF2|PDZGEF2|RA-GEF-2|RAGEF2VDU1
Cytomap

5q31.1

1p31.1

Type of geneprotein-codingprotein-coding
Descriptionrap guanine nucleotide exchange factor 6PDZ domain containing guanine nucleotide exchange factor (GEF) 2PDZ domain-containing guanine nucleotide exchange factor 2PDZ domain-containing guanine nucleotide exchange factor IRap guanine nucleotide exchangeubiquitin carboxyl-terminal hydrolase 33VHL-interacting deubiquitinating enzyme 1deubiquitinating enzyme 33pVHL-interacting deubiquitinating enzyme 1ubiquitin thioesterase 33ubiquitin thiolesterase 33ubiquitin-specific-processing protease 33
Modification date2020031320200313
UniProtAcc..
Ensembl transtripts involved in fusion geneENST idsENST00000296859, ENST00000307984, 
ENST00000308008, ENST00000507093, 
ENST00000509018, ENST00000510071, 
ENST00000503398, ENST00000512052, 
ENST00000528150, ENST00000357428, 
ENST00000370792, ENST00000370793, 
ENST00000370794, 
Fusion gene scores for assessment (based on all fusion genes of FusionGDB 2.0)* DoF score10 X 10 X 6=60013 X 11 X 8=1144
# samples 1016
** MAII scorelog2(10/600*10)=-2.58496250072116
possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs).
DoF>8 and MAII<0
log2(16/1144*10)=-2.83794324189103
possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs).
DoF>8 and MAII<0
Fusion gene context

PubMed: RAPGEF6 [Title/Abstract] AND USP33 [Title/Abstract] AND fusion [Title/Abstract]

Fusion neoantigen context

PubMed: RAPGEF6 [Title/Abstract] AND USP33 [Title/Abstract] AND neoantigen [Title/Abstract]

Most frequent breakpoint (based on all fusion genes of FusionGDB 2.0)RAPGEF6(130897670)-USP33(78205103), # samples:1
Anticipated loss of major functional domain due to fusion event.RAPGEF6-USP33 seems lost the major protein functional domain in Hgene partner, which is a CGC by not retaining the major functional domain in the partially deleted in-frame ORF.
RAPGEF6-USP33 seems lost the major protein functional domain in Hgene partner, which is a CGC by not retaining the major functional domain in the partially deleted in-frame ORF.
RAPGEF6-USP33 seems lost the major protein functional domain in Hgene partner, which is a essential gene by not retaining the major functional domain in the partially deleted in-frame ORF.
RAPGEF6-USP33 seems lost the major protein functional domain in Hgene partner, which is a essential gene by not retaining the major functional domain in the partially deleted in-frame ORF.
* 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
TgeneUSP33

GO:0009267

cellular response to starvation

24056301

TgeneUSP33

GO:0016579

protein deubiquitination

11739384|19363159|19424180|23486064

TgeneUSP33

GO:0070536

protein K63-linked deubiquitination

19363159

TgeneUSP33

GO:0071108

protein K48-linked deubiquitination

19363159



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/chr5:130897670/chr1:78205103)
- 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 buttonRetention analysis results 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, are available here.

check buttonFusion gene breakpoints across RAPGEF6 (5'-gene)
* Click on the image to open the UCSC genome browser with custom track showing this image in a new window.
all structure

check buttonFusion gene breakpoints across USP33 (3'-gene)
* Click on the image to open the UCSC genome browser with custom track showing this image in a new window.
all structure


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Fusion Amino Acid Sequences


check buttonFusion information from ORFfinder translation from full-length transcript sequence from FusionPDB.
HenstTenstHgeneHchrHbpHstrandTgeneTchrTbpTstrandSeq length
(transcript)
BP loci
(transcript)
Predicted start
(transcript)
Predicted stop
(transcript)
Seq length
(amino acids)
ENST00000509018RAPGEF6chr5130897670-ENST00000370794USP33chr178205103-44255571823094970
ENST00000509018RAPGEF6chr5130897670-ENST00000357428USP33chr178205103-44215571823094970
ENST00000509018RAPGEF6chr5130897670-ENST00000370793USP33chr178205103-44215571823094970
ENST00000509018RAPGEF6chr5130897670-ENST00000370792USP33chr178205103-28365571822752856
ENST00000307984RAPGEF6chr5130897670-ENST00000370794USP33chr178205103-44255571823094970
ENST00000307984RAPGEF6chr5130897670-ENST00000357428USP33chr178205103-44215571823094970
ENST00000307984RAPGEF6chr5130897670-ENST00000370793USP33chr178205103-44215571823094970
ENST00000307984RAPGEF6chr5130897670-ENST00000370792USP33chr178205103-28365571822752856
ENST00000507093RAPGEF6chr5130897670-ENST00000370794USP33chr178205103-44015331583070970
ENST00000507093RAPGEF6chr5130897670-ENST00000357428USP33chr178205103-43975331583070970
ENST00000507093RAPGEF6chr5130897670-ENST00000370793USP33chr178205103-43975331583070970
ENST00000507093RAPGEF6chr5130897670-ENST00000370792USP33chr178205103-28125331582728856
ENST00000296859RAPGEF6chr5130897670-ENST00000370794USP33chr178205103-4300432572969970
ENST00000296859RAPGEF6chr5130897670-ENST00000357428USP33chr178205103-4296432572969970
ENST00000296859RAPGEF6chr5130897670-ENST00000370793USP33chr178205103-4296432572969970
ENST00000296859RAPGEF6chr5130897670-ENST00000370792USP33chr178205103-2711432572627856
ENST00000308008RAPGEF6chr5130897670-ENST00000370794USP33chr178205103-421935102888962
ENST00000308008RAPGEF6chr5130897670-ENST00000357428USP33chr178205103-421535102888962
ENST00000308008RAPGEF6chr5130897670-ENST00000370793USP33chr178205103-421535102888962
ENST00000308008RAPGEF6chr5130897670-ENST00000370792USP33chr178205103-263035102546848
ENST00000510071RAPGEF6chr5130897670-ENST00000370794USP33chr178205103-44205521773089970
ENST00000510071RAPGEF6chr5130897670-ENST00000357428USP33chr178205103-44165521773089970
ENST00000510071RAPGEF6chr5130897670-ENST00000370793USP33chr178205103-44165521773089970
ENST00000510071RAPGEF6chr5130897670-ENST00000370792USP33chr178205103-28315521772747856

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
ENST00000509018ENST00000370794RAPGEF6chr5130897670-USP33chr178205103-0.0001348730.99986506
ENST00000509018ENST00000357428RAPGEF6chr5130897670-USP33chr178205103-0.0001378780.9998621
ENST00000509018ENST00000370793RAPGEF6chr5130897670-USP33chr178205103-0.0001378780.9998621
ENST00000509018ENST00000370792RAPGEF6chr5130897670-USP33chr178205103-0.0007527710.9992473
ENST00000307984ENST00000370794RAPGEF6chr5130897670-USP33chr178205103-0.0001348730.99986506
ENST00000307984ENST00000357428RAPGEF6chr5130897670-USP33chr178205103-0.0001378780.9998621
ENST00000307984ENST00000370793RAPGEF6chr5130897670-USP33chr178205103-0.0001378780.9998621
ENST00000307984ENST00000370792RAPGEF6chr5130897670-USP33chr178205103-0.0007527710.9992473
ENST00000507093ENST00000370794RAPGEF6chr5130897670-USP33chr178205103-0.0001342990.99986565
ENST00000507093ENST00000357428RAPGEF6chr5130897670-USP33chr178205103-0.0001371510.9998628
ENST00000507093ENST00000370793RAPGEF6chr5130897670-USP33chr178205103-0.0001371510.9998628
ENST00000507093ENST00000370792RAPGEF6chr5130897670-USP33chr178205103-0.00073060.9992694
ENST00000296859ENST00000370794RAPGEF6chr5130897670-USP33chr178205103-0.0001438670.9998561
ENST00000296859ENST00000357428RAPGEF6chr5130897670-USP33chr178205103-0.0001467210.99985325
ENST00000296859ENST00000370793RAPGEF6chr5130897670-USP33chr178205103-0.0001467210.99985325
ENST00000296859ENST00000370792RAPGEF6chr5130897670-USP33chr178205103-0.0008370040.99916303
ENST00000308008ENST00000370794RAPGEF6chr5130897670-USP33chr178205103-0.0001517920.9998481
ENST00000308008ENST00000357428RAPGEF6chr5130897670-USP33chr178205103-0.0001552410.9998448
ENST00000308008ENST00000370793RAPGEF6chr5130897670-USP33chr178205103-0.0001552410.9998448
ENST00000308008ENST00000370792RAPGEF6chr5130897670-USP33chr178205103-0.0009363690.9990637
ENST00000510071ENST00000370794RAPGEF6chr5130897670-USP33chr178205103-0.0001385980.99986136
ENST00000510071ENST00000357428RAPGEF6chr5130897670-USP33chr178205103-0.0001415340.9998585
ENST00000510071ENST00000370793RAPGEF6chr5130897670-USP33chr178205103-0.0001415340.9998585
ENST00000510071ENST00000370792RAPGEF6chr5130897670-USP33chr178205103-0.0007749820.999225

check button Predicted full-length fusion amino acid sequences. For individual full-length fusion transcript sequence from FusionPDB, we ran ORFfinder and chose the longest ORF among all the predicted ones.

Get the fusion protein sequences from here.

Fusion protein sequence information is available in the fasta format.
>FusionGDB ID_FusionGDB isoform ID_FGname_Hgene_Hchr_Hbp_Henst_Tgene_Tchr_Tbp_Tenst_length(fusion AA) seq_BP

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Fusion Protein Breakpoint Sequences for RAPGEF6-USP33

check button +/-13 AA sequence from the breakpoints of the fusion protein sequences.
HgeneHchrHbpTgeneTchrTbpLength(fusion protein)BP in fusion proteinPeptide
RAPGEF6chr5130897670USP33chr178205103351106SFGKQFGGKRGCDCLVLEPSEMIVET
RAPGEF6chr5130897670USP33chr178205103432114SFGKQFGGKRGCDCLVLEPSEMIVET
RAPGEF6chr5130897670USP33chr178205103533114SFGKQFGGKRGCDCLVLEPSEMIVET
RAPGEF6chr5130897670USP33chr178205103552114SFGKQFGGKRGCDCLVLEPSEMIVET
RAPGEF6chr5130897670USP33chr178205103557114SFGKQFGGKRGCDCLVLEPSEMIVET

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Potential FusionNeoAntigen Information of RAPGEF6-USP33 in HLA I

check button Multiple sequence alignments of the potential FusionNeoAntigens per fusion breakpoints. If the MSA is empty, then it means that there were predicted fusion neoantigens in this fusion breakpoint, but those predicted fusion neoantigens were not across the breakpoint, which is not fusion-specific.

check button Potential FusionNeoAntigen Information
* We used NetMHCpan v4.1 (%rank<0.5) and deepHLApan v1.1 (immunogenic score>0.5)
Fusion geneHchrHbpTgeneTchrTbpHLA IFusionNeoAntigen peptideBinding scoreImmunogenic scoreNeoantigen start (at BP 13)Neoantigen end (at BP 13)

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Potential FusionNeoAntigen Information of RAPGEF6-USP33 in HLA II

check button Multiple sequence alignments of the potential FusionNeoAntigens per fusion breakpoints. If the MSA is empty, then it means that there were predicted fusion neoantigens in this fusion breakpoint, but those predicted fusion neoantigens were not across the breakpoint, which is not fusion-specific.

check button Potential FusionNeoAntigen Information
* We used NetMHCIIpan v4.1 (%rank<0.5).
Fusion geneHchrHbpTgeneTchrTbpHLA IIFusionNeoAntigen peptideNeoantigen start (at BP 13)Neoantigen end (at BP 13)

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Fusion breakpoint peptide structures of RAPGEF6-USP33

check button3D structures of the fusion breakpoint peptide of 14AA sequence that have potential fusion neoantigens
* The minimum length of the amino acid sequence in RoseTTAFold is 14AA. Here, we predicted the 14AA fusion protein breakpoint sequence not the fusion neoantigen peptide, which is shorter than 14 AA.

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Filtering FusionNeoAntigens Through Checking the Interaction with HLAs in 3D of RAPGEF6-USP33

check buttonVirtual screening between 25 HLAs (from PDB) and FusionNeoAntigens
* We used Glide to predict the interaction between HLAs and neoantigens.
HLA allelePDB IDFile nameBPseqDocking scoreGlide score

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Vaccine Design for the FusionNeoAntigens of RAPGEF6-USP33

check button mRNA and peptide sequences of FusionNeoAntigens that have potential interaction with HLA-Is.
Fusion geneHchrHbpTchrTbpStart in +/-13AAEnd in +/-13AAFusionNeoAntigen peptide sequenceFusionNeoAntigen RNA sequence

check button mRNA and peptide sequences of FusionNeoAntigens that have potential interaction with HLA-IIs.
Fusion geneHchrHbpTchrTbpStart in +/-13AAEnd in +/-13AAFusionNeoAntigen peptideFusionNEoAntigen RNA sequence

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Information of the samples that have these potential fusion neoantigens of RAPGEF6-USP33

check button These samples were reported as having these fusion breakpoints. For individual breakpoints, we checked the open reading frames considering multiple gene isoforms and chose the in-frame fusion genes only. Then, we made fusion protein sequences and predicted the fusion neoantigens. These fusion-positive samples may have these potential fusion neoantigens.
Cancer typeFusion geneHchrHbpHenstTchrTbpTenstSample

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Potential target of CAR-T therapy development for RAPGEF6-USP33

check button Predicted 3D structure. We used RoseTTAFold.

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, to provide the retention of the transmembrane domain, we only show the protein feature retention information of those transmembrane features


* Minus value of BPloci means that the break point is located before the CDS.
- In-frame and retained 'Transmembrane'.
PartnerGeneHbpTbpENSTStrandBPexonTotalExonProtein feature loci*BPlociTotalLenProtein featureProtein feature note

check button Subcellular localization prediction of the transmembrane domain retained fusion proteins
* We used DeepLoc 1.0. The order of the X-axis of the barplot is as follows: Entry_ID, Localization, Type, Nucleus, Cytoplasm, Extracellular, Mitochondrion, Cell_membrane, Endoplasmic_reticulum, Plastid, Golgi.apparatus, Lysosome.Vacuole, Peroxisome. Y-axis is the output score of DeepLoc. Clicking the image will open a new tab with a large image.
HgeneHchrHbpHenstTgeneTchrTbpTenstDeepLoc result

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Related Drugs to RAPGEF6-USP33

check button Drugs used for this fusion-positive patient.
(Manual curation of PubMed, 04-30-2022 + MyCancerGenome)
HgeneTgeneDrugSourcePMID

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Related Diseases to RAPGEF6-USP33

check button Diseases that have this fusion gene.
(Manual curation of PubMed, 04-30-2022 + MyCancerGenome)
HgeneTgeneDiseaseSourcePMID

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