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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:ACACA-HTRA4

Fusion Gene and Fusion Protein Summary

check button Fusion gene summary
Fusion partner gene informationFusion gene name: ACACA-HTRA4
FusionPDB ID: 1155
FusionGDB2.0 ID: 1155
HgeneTgene
Gene symbol

ACACA

HTRA4

Gene ID

31

203100

Gene nameacetyl-CoA carboxylase alphaHtrA serine peptidase 4
SynonymsACAC|ACACAD|ACC|ACC1|ACCA-
Cytomap

17q12

8p11.22

Type of geneprotein-codingprotein-coding
Descriptionacetyl-CoA carboxylase 1ACC-alphaacetyl-Coenzyme A carboxylase alphaserine protease HTRA4high-temperature requirement factor A4probable serine protease HTRA4
Modification date2020031320200315
UniProtAcc

Q13085

Main function of 5'-partner protein: FUNCTION: Cytosolic enzyme that catalyzes the carboxylation of acetyl-CoA to malonyl-CoA, the first and rate-limiting step of de novo fatty acid biosynthesis (PubMed:20952656, PubMed:20457939, PubMed:29899443). This is a 2 steps reaction starting with the ATP-dependent carboxylation of the biotin carried by the biotin carboxyl carrier (BCC) domain followed by the transfer of the carboxyl group from carboxylated biotin to acetyl-CoA (PubMed:20952656, PubMed:20457939, PubMed:29899443). {ECO:0000269|PubMed:20457939, ECO:0000269|PubMed:20952656, ECO:0000269|PubMed:29899443}.
.
Ensembl transtripts involved in fusion geneENST idsENST00000353139, ENST00000416895, 
ENST00000394406, ENST00000588142, 
ENST00000335166, ENST00000360679, 
ENST00000361253, ENST00000589665, 
ENST00000302495, 
Fusion gene scores for assessment (based on all fusion genes of FusionGDB 2.0)* DoF score44 X 35 X 17=261805 X 7 X 5=175
# samples 517
** MAII scorelog2(51/26180*10)=-5.68182403997375
possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs).
DoF>8 and MAII<0
log2(7/175*10)=-1.32192809488736
possibly effective Gene in Pan-Cancer Fusion Genes (peGinPCFGs).
DoF>8 and MAII<0
Fusion gene context

PubMed: ACACA [Title/Abstract] AND HTRA4 [Title/Abstract] AND fusion [Title/Abstract]

Fusion neoantigen context

PubMed: ACACA [Title/Abstract] AND HTRA4 [Title/Abstract] AND neoantigen [Title/Abstract]

Most frequent breakpoint (based on all fusion genes of FusionGDB 2.0)ACACA(35687113)-HTRA4(38845455), # samples:3
Anticipated loss of major functional domain due to fusion event.ACACA-HTRA4 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.
ACACA-HTRA4 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.
ACACA-HTRA4 seems lost the major protein functional domain in Hgene partner, which is a cell metabolism gene due to the frame-shifted ORF.
ACACA-HTRA4 seems lost the major protein functional domain in Hgene partner, which is a IUPHAR drug target 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
TgeneHTRA4

GO:0006508

proteolysis

18387192



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/chr17:35687113/chr8:38845455)
- 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 ACACA (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 HTRA4 (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)
ENST00000394406ACACAchr1735687113-ENST00000302495HTRA4chr838845455+1145418113580155
ENST00000588142ACACAchr1735687113-ENST00000302495HTRA4chr838845455+9542270389129

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
ENST00000394406ENST00000302495ACACAchr1735687113-HTRA4chr838845455+0.0097234750.9902766
ENST00000588142ENST00000302495ACACAchr1735687113-HTRA4chr838845455+0.0132287530.9867713

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 ACACA-HTRA4

check button +/-13 AA sequence from the breakpoints of the fusion protein sequences.
HgeneHchrHbpTgeneTchrTbpLength(fusion protein)BP in fusion proteinPeptide
ACACAchr1735687113HTRA4chr83884545522775GISSLQDGLALHISSGLRDHDVIVNI
ACACAchr1735687113HTRA4chr838845455418101GISSLQDGLALHISSGLRDHDVIVNI

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Potential FusionNeoAntigen Information of ACACA-HTRA4 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.
ACACA-HTRA4_35687113_38845455.msa

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)
ACACA-HTRA4chr1735687113chr838845455418HLA-C03:19LALHISSGL0.99950.9812817
ACACA-HTRA4chr1735687113chr838845455418HLA-C03:07LALHISSGL0.99940.9594817
ACACA-HTRA4chr1735687113chr838845455418HLA-C03:08LALHISSGL0.99940.7988817
ACACA-HTRA4chr1735687113chr838845455418HLA-C03:03LALHISSGL0.99960.9736817
ACACA-HTRA4chr1735687113chr838845455418HLA-C03:04LALHISSGL0.99960.9736817
ACACA-HTRA4chr1735687113chr838845455418HLA-C03:17LALHISSGL0.99920.9158817
ACACA-HTRA4chr1735687113chr838845455418HLA-C03:05LALHISSGL0.99920.8252817

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Potential FusionNeoAntigen Information of ACACA-HTRA4 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 ACACA-HTRA4

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.
File nameBPseqHgeneTgeneHchrHbpTchrTbpAAlen
1118DGLALHISSGLRDHACACAHTRA4chr1735687113chr838845455418

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Filtering FusionNeoAntigens Through Checking the Interaction with HLAs in 3D of ACACA-HTRA4

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
HLA-B14:023BVN1118DGLALHISSGLRDH-6.93863-7.05203
HLA-B14:023BVN1118DGLALHISSGLRDH-4.13527-5.17057
HLA-B52:013W391118DGLALHISSGLRDH-6.86405-6.97745
HLA-B52:013W391118DGLALHISSGLRDH-3.72209-4.75739
HLA-A24:025HGA1118DGLALHISSGLRDH-8.23297-9.26827
HLA-A24:025HGA1118DGLALHISSGLRDH-5.62477-5.73817
HLA-B27:056PYJ1118DGLALHISSGLRDH-5.8772-6.9125
HLA-B44:053DX81118DGLALHISSGLRDH-6.50682-6.62022
HLA-B44:053DX81118DGLALHISSGLRDH-4.20591-5.24121

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Vaccine Design for the FusionNeoAntigens of ACACA-HTRA4

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
ACACA-HTRA4chr1735687113chr838845455817LALHISSGLGGCCTTGCACATAAGCTCTGGATTGAG

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 ACACA-HTRA4

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
BLCAACACA-HTRA4chr1735687113ENST00000394406chr838845455ENST00000302495TCGA-FJ-A3ZE-01A

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Potential target of CAR-T therapy development for ACACA-HTRA4

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 ACACA-HTRA4

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 ACACA-HTRA4

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