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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:UIMC1-PMM2

Fusion Gene and Fusion Protein Summary

check button Fusion gene summary
Fusion partner gene informationFusion gene name: UIMC1-PMM2
FusionPDB ID: 96744
FusionGDB2.0 ID: 96744
HgeneTgene
Gene symbol

UIMC1

PMM2

Gene ID

51720

5373

Gene nameubiquitin interaction motif containing 1phosphomannomutase 2
SynonymsRAP80|X2HRIP110CDG1|CDG1a|CDGS|PMI|PMI1|PMM 2
Cytomap

5q35.2

16p13.2

Type of geneprotein-codingprotein-coding
DescriptionBRCA1-A complex subunit RAP80receptor-associated protein 80retinoid X receptor-interacting protein 110phosphomannomutase 2mannose-6-phosphate isomerasephosphomannose isomerase 1
Modification date2020032720200313
UniProtAcc..
Ensembl transtripts involved in fusion geneENST idsENST00000377219, ENST00000377227, 
ENST00000506128, ENST00000511320, 
ENST00000503273, 
ENST00000565837, 
ENST00000268261, ENST00000537352, 
ENST00000539622, ENST00000566983, 
ENST00000569958, 
Fusion gene scores for assessment (based on all fusion genes of FusionGDB 2.0)* DoF score9 X 7 X 7=4414 X 1 X 4=16
# samples 104
** MAII scorelog2(10/441*10)=-2.1407786557828
possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs).
DoF>8 and MAII<0
log2(4/16*10)=1.32192809488736
effective Gene in Pan-Cancer Fusion Genes (eGinPCFGs).
DoF>8 and MAII>0
Fusion gene context

PubMed: UIMC1 [Title/Abstract] AND PMM2 [Title/Abstract] AND fusion [Title/Abstract]

Fusion neoantigen context

PubMed: UIMC1 [Title/Abstract] AND PMM2 [Title/Abstract] AND neoantigen [Title/Abstract]

Most frequent breakpoint (based on all fusion genes of FusionGDB 2.0)UIMC1(176370336)-PMM2(8941581), # samples:2
Anticipated loss of major functional domain due to fusion event.UIMC1-PMM2 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.
UIMC1-PMM2 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.
UIMC1-PMM2 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.
UIMC1-PMM2 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.
UIMC1-PMM2 seems lost the major protein functional domain in Hgene partner, which is a epigenetic factor due to the frame-shifted ORF.
UIMC1-PMM2 seems lost the major protein functional domain in Hgene partner, which is a essential gene due to the frame-shifted ORF.
UIMC1-PMM2 seems lost the major protein functional domain in Hgene partner, which is a tumor suppressor due to the frame-shifted ORF.
UIMC1-PMM2 seems lost the major protein functional domain in Tgene partner, which is a cell metabolism gene due to the frame-shifted 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
HgeneUIMC1

GO:0045892

negative regulation of transcription, DNA-templated

12080054



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/chr5:176370336/chr16:8941581)
- 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 UIMC1 (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 PMM2 (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)
ENST00000377227UIMC1chr5176370336-ENST00000566983PMM2chr168941581+187517301331740535
ENST00000377227UIMC1chr5176370336-ENST00000539622PMM2chr168941581+205817301331740535
ENST00000377227UIMC1chr5176370336-ENST00000537352PMM2chr168941581+203717301331740535
ENST00000377227UIMC1chr5176370336-ENST00000569958PMM2chr168941581+204617301331740535
ENST00000377219UIMC1chr5176370336-ENST00000566983PMM2chr168941581+190917641671774535
ENST00000377219UIMC1chr5176370336-ENST00000539622PMM2chr168941581+209217641671774535
ENST00000377219UIMC1chr5176370336-ENST00000537352PMM2chr168941581+207117641671774535
ENST00000377219UIMC1chr5176370336-ENST00000569958PMM2chr168941581+208017641671774535
ENST00000506128UIMC1chr5176370336-ENST00000566983PMM2chr168941581+12951150511160369
ENST00000506128UIMC1chr5176370336-ENST00000539622PMM2chr168941581+14781150511160369
ENST00000506128UIMC1chr5176370336-ENST00000537352PMM2chr168941581+14571150511160369
ENST00000506128UIMC1chr5176370336-ENST00000569958PMM2chr168941581+14661150511160369
ENST00000511320UIMC1chr5176370336-ENST00000566983PMM2chr168941581+185217071101717535
ENST00000511320UIMC1chr5176370336-ENST00000539622PMM2chr168941581+203517071101717535
ENST00000511320UIMC1chr5176370336-ENST00000537352PMM2chr168941581+201417071101717535
ENST00000511320UIMC1chr5176370336-ENST00000569958PMM2chr168941581+202317071101717535

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
ENST00000377227ENST00000566983UIMC1chr5176370336-PMM2chr168941581+0.0037226880.9962773
ENST00000377227ENST00000539622UIMC1chr5176370336-PMM2chr168941581+0.0043700130.99563
ENST00000377227ENST00000537352UIMC1chr5176370336-PMM2chr168941581+0.0043609290.9956391
ENST00000377227ENST00000569958UIMC1chr5176370336-PMM2chr168941581+0.0042984470.9957015
ENST00000377219ENST00000566983UIMC1chr5176370336-PMM2chr168941581+0.0034706480.9965294
ENST00000377219ENST00000539622UIMC1chr5176370336-PMM2chr168941581+0.0040776250.9959223
ENST00000377219ENST00000537352UIMC1chr5176370336-PMM2chr168941581+0.0040537050.99594635
ENST00000377219ENST00000569958UIMC1chr5176370336-PMM2chr168941581+0.0040081820.9959919
ENST00000506128ENST00000566983UIMC1chr5176370336-PMM2chr168941581+0.0023041540.99769586
ENST00000506128ENST00000539622UIMC1chr5176370336-PMM2chr168941581+0.0024581360.9975419
ENST00000506128ENST00000537352UIMC1chr5176370336-PMM2chr168941581+0.0024466450.9975534
ENST00000506128ENST00000569958UIMC1chr5176370336-PMM2chr168941581+0.0023913280.99760866
ENST00000511320ENST00000566983UIMC1chr5176370336-PMM2chr168941581+0.0040473890.9959526
ENST00000511320ENST00000539622UIMC1chr5176370336-PMM2chr168941581+0.004878880.99512106
ENST00000511320ENST00000537352UIMC1chr5176370336-PMM2chr168941581+0.0048933330.9951067
ENST00000511320ENST00000569958UIMC1chr5176370336-PMM2chr168941581+0.0047922830.9952077

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 UIMC1-PMM2

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

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Potential FusionNeoAntigen Information of UIMC1-PMM2 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 UIMC1-PMM2 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 UIMC1-PMM2

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 UIMC1-PMM2

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 UIMC1-PMM2

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 UIMC1-PMM2

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 UIMC1-PMM2

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 UIMC1-PMM2

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 UIMC1-PMM2

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