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Fusion Protein:VEZT-APPL2 |
Fusion Gene and Fusion Protein Summary |
 Fusion gene summary |
| Fusion partner gene information | Fusion gene name: VEZT-APPL2 | FusionPDB ID: 98052 | FusionGDB2.0 ID: 98052 | Hgene | Tgene | Gene symbol | VEZT | APPL2 | Gene ID | 55591 | 55198 |
| Gene name | vezatin, adherens junctions transmembrane protein | adaptor protein, phosphotyrosine interacting with PH domain and leucine zipper 2 | |
| Synonyms | VEZATIN | DIP13B | |
| Cytomap | 12q22 | 12q23.3 | |
| Type of gene | protein-coding | protein-coding | |
| Description | vezatin | DCC-interacting protein 13-betaDIP13 betaadapter protein containing PH domain, PTB domain and leucine zipper motif 2adaptor protein, phosphotyrosine interaction, PH domain and leucine zipper containing 2 | |
| Modification date | 20200313 | 20200313 | |
| UniProtAcc | . | Q8NEU8 Main function of 5'-partner protein: FUNCTION: Multifunctional adapter protein that binds to various membrane receptors, nuclear factors and signaling proteins to regulate many processes, such as cell proliferation, immune response, endosomal trafficking and cell metabolism (PubMed:26583432, PubMed:15016378, PubMed:24879834). Regulates signaling pathway leading to cell proliferation through interaction with RAB5A and subunits of the NuRD/MeCP1 complex (PubMed:15016378). Plays a role in immune response by modulating phagocytosis, inflammatory and innate immune responses. In macrophages, enhances Fc-gamma receptor-mediated phagocytosis through interaction with RAB31 leading to activation of PI3K/Akt signaling. In response to LPS, modulates inflammatory responses by playing a key role on the regulation of TLR4 signaling and in the nuclear translocation of RELA/NF-kappa-B p65 and the secretion of pro- and anti-inflammatory cytokines. Also functions as a negative regulator of innate immune response via inhibition of AKT1 signaling pathway by forming a complex with APPL1 and PIK3R1 (By similarity). Plays a role in endosomal trafficking of TGFBR1 from the endosomes to the nucleus (PubMed:26583432). Plays a role in cell metabolism by regulating adiponecting ans insulin signaling pathways and adaptative thermogenesis (PubMed:24879834) (By similarity). In muscle, negatively regulates adiponectin-simulated glucose uptake and fatty acid oxidation by inhibiting adiponectin signaling pathway through APPL1 sequestration thereby antagonizing APPL1 action (By similarity). In muscles, negativeliy regulates insulin-induced plasma membrane recruitment of GLUT4 and glucose uptake through interaction with TBC1D1 (PubMed:24879834). Plays a role in cold and diet-induced adaptive thermogenesis by activating ventromedial hypothalamus (VMH) neurons throught AMPK inhibition which enhances sympathetic outflow to subcutaneous white adipose tissue (sWAT), sWAT beiging and cold tolerance (By similarity). Also plays a role in other signaling pathways namely Wnt/beta-catenin, HGF and glucocorticoid receptor signaling (PubMed:19433865) (By similarity). Positive regulator of beta-catenin/TCF-dependent transcription through direct interaction with RUVBL2/reptin resulting in the relief of RUVBL2-mediated repression of beta-catenin/TCF target genes by modulating the interactions within the beta-catenin-reptin-HDAC complex (PubMed:19433865). May affect adult neurogenesis in hippocampus and olfactory system via regulating the sensitivity of glucocorticoid receptor. Required for fibroblast migration through HGF cell signaling (By similarity). {ECO:0000250|UniProtKB:Q8K3G9, ECO:0000269|PubMed:15016378, ECO:0000269|PubMed:19433865, ECO:0000269|PubMed:24879834, ECO:0000269|PubMed:26583432}. | |
| Ensembl transtripts involved in fusion gene | ENST ids | ENST00000436874, ENST00000261219, ENST00000356859, | ENST00000546731, ENST00000549573, ENST00000551662, ENST00000258530, ENST00000539978, |
| Fusion gene scores for assessment (based on all fusion genes of FusionGDB 2.0) | * DoF score | 6 X 3 X 5=90 | 8 X 6 X 5=240 |
| # samples | 6 | 9 | |
| ** MAII score | log2(6/90*10)=-0.584962500721156 possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs). DoF>8 and MAII<0 | log2(9/240*10)=-1.41503749927884 possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs). DoF>8 and MAII<0 | |
| Fusion gene context | PubMed: VEZT [Title/Abstract] AND APPL2 [Title/Abstract] AND fusion [Title/Abstract] | ||
| Fusion neoantigen context | PubMed: VEZT [Title/Abstract] AND APPL2 [Title/Abstract] AND neoantigen [Title/Abstract] | ||
| Most frequent breakpoint (based on all fusion genes of FusionGDB 2.0) | VEZT(95611662)-APPL2(105611503), # samples:1 | ||
| Anticipated loss of major functional domain due to fusion event. | VEZT-APPL2 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. VEZT-APPL2 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. VEZT-APPL2 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. VEZT-APPL2 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) |
| Gene ontology of each fusion partner gene with evidence of Inferred from Direct Assay (IDA) from Entrez |
| Partner | Gene | GO ID | GO term | PubMed ID |
| Tgene | APPL2 | GO:0006606 | protein import into nucleus | 26583432 |
| Tgene | APPL2 | GO:0051289 | protein homotetramerization | 23055524 |
| Tgene | APPL2 | GO:2000045 | regulation of G1/S transition of mitotic cell cycle | 15016378 |
| Four levels of functional features of fusion genes Go to FGviewer search page for the most frequent breakpoint (https://ccsmweb.uth.edu/FGviewer/chr12:95611662/chr12:105611503) - 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. |
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| Retention 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. |
| Fusion gene breakpoints across VEZT (5'-gene) * Click on the image to open the UCSC genome browser with custom track showing this image in a new window. |
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| Fusion gene breakpoints across APPL2 (3'-gene) * Click on the image to open the UCSC genome browser with custom track showing this image in a new window. |
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Fusion Amino Acid Sequences |
| Fusion information from ORFfinder translation from full-length transcript sequence from FusionPDB. |
| Henst | Tenst | Hgene | Hchr | Hbp | Hstrand | Tgene | Tchr | Tbp | Tstrand | Seq length (transcript) | BP loci (transcript) | Predicted start (transcript) | Predicted stop (transcript) | Seq length (amino acids) |
| ENST00000436874 | VEZT | chr12 | 95611662 | + | ENST00000258530 | APPL2 | chr12 | 105611503 | - | 3001 | 141 | 78 | 1982 | 634 |
| ENST00000436874 | VEZT | chr12 | 95611662 | + | ENST00000539978 | APPL2 | chr12 | 105611503 | - | 2362 | 141 | 78 | 1982 | 634 |
| DeepORF 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. |
| Henst | Tenst | Hgene | Hchr | Hbp | Hstrand | Tgene | Tchr | Tbp | Tstrand | No-coding score | Coding score |
| ENST00000436874 | ENST00000258530 | VEZT | chr12 | 95611662 | + | APPL2 | chr12 | 105611503 | - | 0.001662049 | 0.998338 |
| ENST00000436874 | ENST00000539978 | VEZT | chr12 | 95611662 | + | APPL2 | chr12 | 105611503 | - | 0.003601761 | 0.9963982 |
| 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 VEZT-APPL2 |
| +/-13 AA sequence from the breakpoints of the fusion protein sequences. |
| Hgene | Hchr | Hbp | Tgene | Tchr | Tbp | Length(fusion protein) | BP in fusion protein | Peptide |
| VEZT | chr12 | 95611662 | APPL2 | chr12 | 105611503 | 141 | 21 | RMTPEFDEEVVFENEMCLATQQLSKQ |
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Potential FusionNeoAntigen Information of VEZT-APPL2 in HLA I |
| 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. |
| VEZT-APPL2_95611662_105611503.msa |
| Potential FusionNeoAntigen Information * We used NetMHCpan v4.1 (%rank<0.5) and deepHLApan v1.1 (immunogenic score>0.5) |
| Fusion gene | Hchr | Hbp | Tgene | Tchr | Tbp | HLA I | FusionNeoAntigen peptide | Binding score | Immunogenic score | Neoantigen start (at BP 13) | Neoantigen end (at BP 13) |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B44:03 | EEVVFENEM | 0.9957 | 0.9757 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:01 | EEVVFENEM | 0.9907 | 0.9794 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-A02:21 | VVFENEMCL | 0.8704 | 0.6267 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:01 | DEEVVFENEM | 0.9585 | 0.9764 | 6 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C04:10 | VFENEMCL | 0.999 | 0.7623 | 10 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C04:07 | VFENEMCL | 0.9989 | 0.7842 | 10 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C03:07 | VVFENEMCL | 0.9952 | 0.9875 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C03:08 | VVFENEMCL | 0.9936 | 0.915 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C15:06 | VVFENEMCL | 0.9932 | 0.9394 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C03:19 | VVFENEMCL | 0.9928 | 0.9943 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C04:06 | VVFENEMCL | 0.954 | 0.8674 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C08:13 | VVFENEMCL | 0.7851 | 0.9768 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C08:04 | VVFENEMCL | 0.7851 | 0.9768 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C08:03 | VVFENEMCL | 0.5282 | 0.9915 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C02:06 | VVFENEMCL | 0.5179 | 0.982 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C04:01 | VFENEMCL | 0.9989 | 0.7842 | 10 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B44:07 | EEVVFENEM | 0.9957 | 0.9757 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B44:26 | EEVVFENEM | 0.9957 | 0.9757 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B44:13 | EEVVFENEM | 0.9957 | 0.9757 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:04 | EEVVFENEM | 0.9948 | 0.9819 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C03:04 | VVFENEMCL | 0.9928 | 0.9939 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C03:03 | VVFENEMCL | 0.9928 | 0.9939 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:07 | EEVVFENEM | 0.9921 | 0.9704 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B40:04 | EEVVFENEM | 0.992 | 0.7365 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:05 | EEVVFENEM | 0.9907 | 0.9794 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:06 | EEVVFENEM | 0.9898 | 0.9829 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:11 | EEVVFENEM | 0.9895 | 0.9495 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:08 | EEVVFENEM | 0.9892 | 0.9758 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C03:17 | VVFENEMCL | 0.9794 | 0.9841 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C03:05 | VVFENEMCL | 0.9785 | 0.9532 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:03 | EEVVFENEM | 0.9759 | 0.9784 | 7 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C03:06 | VVFENEMCL | 0.928 | 0.994 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-A02:14 | VVFENEMCL | 0.8762 | 0.5397 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-A02:06 | VVFENEMCL | 0.8704 | 0.6267 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B35:13 | VVFENEMCL | 0.6659 | 0.9446 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C08:01 | VVFENEMCL | 0.5282 | 0.9915 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-C17:01 | VVFENEMCL | 0.1754 | 0.9459 | 9 | 18 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:05 | DEEVVFENEM | 0.9585 | 0.9764 | 6 | 16 |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 | HLA-B18:03 | DEEVVFENEM | 0.9327 | 0.9745 | 6 | 16 |
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Potential FusionNeoAntigen Information of VEZT-APPL2 in HLA II |
| 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. |
| Potential FusionNeoAntigen Information * We used NetMHCIIpan v4.1 (%rank<0.5). |
| Fusion gene | Hchr | Hbp | Tgene | Tchr | Tbp | HLA II | FusionNeoAntigen peptide | Neoantigen start (at BP 13) | Neoantigen end (at BP 13) |
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Fusion breakpoint peptide structures of VEZT-APPL2 |
| 3D 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. |
| File name | BPseq | Hgene | Tgene | Hchr | Hbp | Tchr | Tbp | AAlen |
| 1054 | DEEVVFENEMCLAT | VEZT | APPL2 | chr12 | 95611662 | chr12 | 105611503 | 141 |
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Filtering FusionNeoAntigens Through Checking the Interaction with HLAs in 3D of VEZT-APPL2 |
| Virtual screening between 25 HLAs (from PDB) and FusionNeoAntigens * We used Glide to predict the interaction between HLAs and neoantigens. |
| HLA allele | PDB ID | File name | BPseq | Docking score | Glide score |
| HLA-B14:02 | 3BVN | 1054 | DEEVVFENEMCLAT | -8.62545 | -8.73885 |
| HLA-B14:02 | 3BVN | 1054 | DEEVVFENEMCLAT | -3.26321 | -4.29851 |
| HLA-B52:01 | 3W39 | 1054 | DEEVVFENEMCLAT | -6.23413 | -6.34753 |
| HLA-B52:01 | 3W39 | 1054 | DEEVVFENEMCLAT | -4.55402 | -5.58932 |
| HLA-A24:02 | 5HGA | 1054 | DEEVVFENEMCLAT | -8.62578 | -8.73918 |
| HLA-A24:02 | 5HGA | 1054 | DEEVVFENEMCLAT | -6.438 | -7.4733 |
| HLA-B44:05 | 3DX8 | 1054 | DEEVVFENEMCLAT | -5.68484 | -5.79824 |
| HLA-B44:05 | 3DX8 | 1054 | DEEVVFENEMCLAT | -3.64855 | -4.68385 |
| HLA-A02:01 | 6TDR | 1054 | DEEVVFENEMCLAT | -5.14764 | -6.18294 |
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Vaccine Design for the FusionNeoAntigens of VEZT-APPL2 |
| mRNA and peptide sequences of FusionNeoAntigens that have potential interaction with HLA-Is. |
| Fusion gene | Hchr | Hbp | Tchr | Tbp | Start in +/-13AA | End in +/-13AA | FusionNeoAntigen peptide sequence | FusionNeoAntigen RNA sequence |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 10 | 18 | VFENEMCL | GTTTTTGAGAATGAGATGTGCCTG |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 6 | 16 | DEEVVFENEM | GACGAAGAGGTGGTTTTTGAGAATGAGATG |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 7 | 16 | EEVVFENEM | GAAGAGGTGGTTTTTGAGAATGAGATG |
| VEZT-APPL2 | chr12 | 95611662 | chr12 | 105611503 | 9 | 18 | VVFENEMCL | GTGGTTTTTGAGAATGAGATGTGCCTG |
| mRNA and peptide sequences of FusionNeoAntigens that have potential interaction with HLA-IIs. |
| Fusion gene | Hchr | Hbp | Tchr | Tbp | Start in +/-13AA | End in +/-13AA | FusionNeoAntigen peptide | FusionNEoAntigen RNA sequence |
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Information of the samples that have these potential fusion neoantigens of VEZT-APPL2 |
| 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 type | Fusion gene | Hchr | Hbp | Henst | Tchr | Tbp | Tenst | Sample |
| STAD | VEZT-APPL2 | chr12 | 95611662 | ENST00000436874 | chr12 | 105611503 | ENST00000258530 | TCGA-D7-5577-01A |
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Potential target of CAR-T therapy development for VEZT-APPL2 |
| Predicted 3D structure. We used RoseTTAFold. |
| Retention 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'. |
| Partner | Gene | Hbp | Tbp | ENST | Strand | BPexon | TotalExon | Protein feature loci | *BPloci | TotalLen | Protein feature | Protein feature note |
| 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. |
| Hgene | Hchr | Hbp | Henst | Tgene | Tchr | Tbp | Tenst | DeepLoc result |
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Related Drugs to VEZT-APPL2 |
| Drugs used for this fusion-positive patient. (Manual curation of PubMed, 04-30-2022 + MyCancerGenome) |
| Hgene | Tgene | Drug | Source | PMID |
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Related Diseases to VEZT-APPL2 |
| Diseases that have this fusion gene. (Manual curation of PubMed, 04-30-2022 + MyCancerGenome) |
| Hgene | Tgene | Disease | Source | PMID |
| Diseases associated with fusion partners. (DisGeNet 4.0) |
| Partner | Gene | Disease ID | Disease name | # pubmeds | Source |
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