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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:DDR1-ATP5J2-PTCD1

Fusion Gene and Fusion Protein Summary

check button Fusion gene summary
Fusion partner gene informationFusion gene name: DDR1-ATP5J2-PTCD1
FusionPDB ID: 21841
FusionGDB2.0 ID: 21841
HgeneTgene
Gene symbol

DDR1

ATP5J2-PTCD1

Gene ID

780

100526740

Gene namediscoidin domain receptor tyrosine kinase 1ATP5MF-PTCD1 readthrough
SynonymsCAK|CD167|DDR|EDDR1|HGK2|MCK10|NEP|NTRK4|PTK3|PTK3A|RTK6|TRKEATP5J2-PTCD1
Cytomap

6p21.33

7q22.1

Type of geneprotein-codingprotein-coding
Descriptionepithelial discoidin domain-containing receptor 1CD167 antigen-like family member APTK3A protein tyrosine kinase 3Acell adhesion kinasemammary carcinoma kinase 10neuroepithelial tyrosine kinaseneurotrophic tyrosine kinase, receptor, type 4protein-tATP5J2-PTCD1 fusion proteinATP5J2-PTCD1 read-through transcriptATP5J2-PTCD1 readthrough
Modification date2020032920200313
UniProtAcc

Q08345

Main function of 5'-partner protein: FUNCTION: Tyrosine kinase that functions as cell surface receptor for fibrillar collagen and regulates cell attachment to the extracellular matrix, remodeling of the extracellular matrix, cell migration, differentiation, survival and cell proliferation. Collagen binding triggers a signaling pathway that involves SRC and leads to the activation of MAP kinases. Regulates remodeling of the extracellular matrix by up-regulation of the matrix metalloproteinases MMP2, MMP7 and MMP9, and thereby facilitates cell migration and wound healing. Required for normal blastocyst implantation during pregnancy, for normal mammary gland differentiation and normal lactation. Required for normal ear morphology and normal hearing (By similarity). Promotes smooth muscle cell migration, and thereby contributes to arterial wound healing. Also plays a role in tumor cell invasion. Phosphorylates PTPN11. {ECO:0000250, ECO:0000269|PubMed:12065315, ECO:0000269|PubMed:16234985, ECO:0000269|PubMed:16337946, ECO:0000269|PubMed:19401332, ECO:0000269|PubMed:20093046, ECO:0000269|PubMed:20432435, ECO:0000269|PubMed:20884741, ECO:0000269|PubMed:21044884, ECO:0000269|PubMed:9659899}.
.
Ensembl transtripts involved in fusion geneENST idsENST00000508472, ENST00000324771, 
ENST00000376567, ENST00000376568, 
ENST00000376569, ENST00000376570, 
ENST00000376575, ENST00000418800, 
ENST00000446312, ENST00000452441, 
ENST00000454612, ENST00000508312, 
ENST00000513240, ENST00000361741, 
ENST00000259875, ENST00000383377, 
ENST00000400410, ENST00000400411, 
ENST00000400414, ENST00000400486, 
ENST00000400488, ENST00000400489, 
ENST00000400491, ENST00000400492, 
ENST00000412329, ENST00000415092, 
ENST00000419412, ENST00000421229, 
ENST00000422628, ENST00000427053, 
ENST00000429699, ENST00000430933, 
ENST00000434428, ENST00000449518, 
ENST00000453510, ENST00000454774, 
ENST00000462241, ENST00000468225, 
ENST00000483193, ENST00000487780, 
ENST00000488414, ENST00000490712, 
ENST00000548133, ENST00000548693, 
ENST00000548962, ENST00000549026, 
ENST00000550384, ENST00000550395, 
ENST00000550666, ENST00000552068, 
ENST00000552434, ENST00000552721, 
ENST00000553015, 
ENST00000413834, 
ENST00000437572, 
Fusion gene scores for assessment (based on all fusion genes of FusionGDB 2.0)* DoF score6 X 6 X 4=1449 X 10 X 2=180
# samples 610
** MAII scorelog2(6/144*10)=-1.26303440583379
possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs).
DoF>8 and MAII<0
log2(10/180*10)=-0.84799690655495
possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs).
DoF>8 and MAII<0
Fusion gene context

PubMed: DDR1 [Title/Abstract] AND ATP5J2-PTCD1 [Title/Abstract] AND fusion [Title/Abstract]

Fusion neoantigen context

PubMed: DDR1 [Title/Abstract] AND ATP5J2-PTCD1 [Title/Abstract] AND neoantigen [Title/Abstract]

Most frequent breakpoint (based on all fusion genes of FusionGDB 2.0)DDR1(30859822)-ATP5J2-PTCD1(99022679), # samples:1
Anticipated loss of major functional domain due to fusion event.DDR1-ATP5J2-PTCD1 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.
DDR1-ATP5J2-PTCD1 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.
DDR1-ATP5J2-PTCD1 seems lost the major protein functional domain in Hgene partner, which is a IUPHAR drug target due to the frame-shifted ORF.
DDR1-ATP5J2-PTCD1 seems lost the major protein functional domain in Hgene partner, which is a kinase due to the frame-shifted ORF.
DDR1-ATP5J2-PTCD1 seems lost the major protein functional domain in Tgene partner, which is a essential 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
HgeneDDR1

GO:0038063

collagen-activated tyrosine kinase receptor signaling pathway

9659899|21044884

HgeneDDR1

GO:0038083

peptidyl-tyrosine autophosphorylation

21044884

HgeneDDR1

GO:0046777

protein autophosphorylation

9659899



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/chr6:30859822/chr7:99022679)
- 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 DDR1 (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 ATP5J2-PTCD1 (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)
ENST00000324771DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-220213565481222224
ENST00000418800DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-206712213531087244
ENST00000454612DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-210512594511125224
ENST00000376569DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-19461100292966224
ENST00000376575DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-198711413331007224
ENST00000376570DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-198711413331007224
ENST00000376568DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-19491103295969224
ENST00000452441DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-19131067259933224
ENST00000508312DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-19601114252980242
ENST00000376567DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-199511492931015240
ENST00000513240DDR1chr630859822+ENST00000413834ATP5J2-PTCD1chr799022679-16548080674224

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
ENST00000324771ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0127839820.98721594
ENST00000418800ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0121816590.98781836
ENST00000454612ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0120212510.9879787
ENST00000376569ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0119170490.98808295
ENST00000376575ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0106130080.98938704
ENST00000376570ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0106130080.98938704
ENST00000376568ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0087116070.9912884
ENST00000452441ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0076579610.99234205
ENST00000508312ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.070445980.92955405
ENST00000376567ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0092379920.99076205
ENST00000513240ENST00000413834DDR1chr630859822+ATP5J2-PTCD1chr799022679-0.0077813170.99221873

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 DDR1-ATP5J2-PTCD1

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 DDR1-ATP5J2-PTCD1 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 DDR1-ATP5J2-PTCD1 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 DDR1-ATP5J2-PTCD1

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 DDR1-ATP5J2-PTCD1

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 DDR1-ATP5J2-PTCD1

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 DDR1-ATP5J2-PTCD1

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 DDR1-ATP5J2-PTCD1

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 DDR1-ATP5J2-PTCD1

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 DDR1-ATP5J2-PTCD1

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