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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:ZNHIT1-PPP1R1B

Fusion Gene and Fusion Protein Summary

check button Fusion gene summary
Fusion partner gene informationFusion gene name: ZNHIT1-PPP1R1B
FusionPDB ID: 103131
FusionGDB2.0 ID: 103131
HgeneTgene
Gene symbol

ZNHIT1

PPP1R1B

Gene ID

10467

84152

Gene namezinc finger HIT-type containing 1protein phosphatase 1 regulatory inhibitor subunit 1B
SynonymsCG1I|ZNFN4A1DARPP-32|DARPP32
Cytomap

7q22.1

17q12

Type of geneprotein-codingprotein-coding
Descriptionzinc finger HIT domain-containing protein 1H_DJ0747G18.14cyclin-G1-binding protein 1p18 Hamletp18Hamletputative cyclin G1 interacting proteinzinc finger protein subfamily 4A member 1zinc finger protein, subfamily 4A (HIT domain containing), member protein phosphatase 1 regulatory subunit 1Bdopamine and cAMP-regulated neuronal phosphoprotein 32
Modification date2020031320200313
UniProtAcc..
Ensembl transtripts involved in fusion geneENST idsENST00000492315, ENST00000305105, 
ENST00000254079, ENST00000394265, 
ENST00000394267, ENST00000579000, 
ENST00000580825, 
Fusion gene scores for assessment (based on all fusion genes of FusionGDB 2.0)* DoF score3 X 3 X 2=1817 X 10 X 9=1530
# samples 326
** MAII scorelog2(3/18*10)=0.736965594166206
effective Gene in Pan-Cancer Fusion Genes (eGinPCFGs).
DoF>8 and MAII>0
log2(26/1530*10)=-2.55694812455156
possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs).
DoF>8 and MAII<0
Fusion gene context

PubMed: ZNHIT1 [Title/Abstract] AND PPP1R1B [Title/Abstract] AND fusion [Title/Abstract]

Fusion neoantigen context

PubMed: ZNHIT1 [Title/Abstract] AND PPP1R1B [Title/Abstract] AND neoantigen [Title/Abstract]

Most frequent breakpoint (based on all fusion genes of FusionGDB 2.0)ZNHIT1(100861498)-PPP1R1B(37791860), # samples:3
Anticipated loss of major functional domain due to fusion event.ZNHIT1-PPP1R1B 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.
ZNHIT1-PPP1R1B 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.
ZNHIT1-PPP1R1B 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.
ZNHIT1-PPP1R1B 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
TgenePPP1R1B

GO:0032515

negative regulation of phosphoprotein phosphatase activity

10807923



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/chr7:100861498/chr17:37791860)
- 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 ZNHIT1 (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 PPP1R1B (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)
ENST00000305105ZNHIT1chr7100861498+ENST00000580825PPP1R1Bchr1737791860+8555504422147
ENST00000305105ZNHIT1chr7100861498+ENST00000254079PPP1R1Bchr1737791860+14815506731131152
ENST00000305105ZNHIT1chr7100861498+ENST00000579000PPP1R1Bchr1737791860+14775506731131152
ENST00000305105ZNHIT1chr7100861498+ENST00000394265PPP1R1Bchr1737791860+14805506731131152
ENST00000305105ZNHIT1chr7100861498+ENST00000394267PPP1R1Bchr1737791860+14815506731131152

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
ENST00000305105ENST00000580825ZNHIT1chr7100861498+PPP1R1Bchr1737791860+0.87179680.12820318
ENST00000305105ENST00000254079ZNHIT1chr7100861498+PPP1R1Bchr1737791860+0.863344130.13665585
ENST00000305105ENST00000579000ZNHIT1chr7100861498+PPP1R1Bchr1737791860+0.85042760.14957231
ENST00000305105ENST00000394265ZNHIT1chr7100861498+PPP1R1Bchr1737791860+0.85956220.14043777
ENST00000305105ENST00000394267ZNHIT1chr7100861498+PPP1R1Bchr1737791860+0.863344130.13665585

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 ZNHIT1-PPP1R1B

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 ZNHIT1-PPP1R1B 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 ZNHIT1-PPP1R1B 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 ZNHIT1-PPP1R1B

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 ZNHIT1-PPP1R1B

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 ZNHIT1-PPP1R1B

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 ZNHIT1-PPP1R1B

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 ZNHIT1-PPP1R1B

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 ZNHIT1-PPP1R1B

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 ZNHIT1-PPP1R1B

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