ArticleJournal of clinical bioinformatics2014
Development of detection method for novel fusion gene using GeneChip exon array.
Article in Journal of clinical bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Development and validation of a prognostic prediction model for iron metabolism-related genes in patients with pancreatic adenocarcinoma.Frontiers in genetics · 2022Article
- Regulation of ZMYND8 to Treat Cancer.Molecules (Basel, Switzerland) · 2021Review
- New fusion sarcomas: histopathology and clinical significance of selected entities.Human pathology · 2019Review
- ZMYND8 acetylation mediates HIF-dependent breast cancer progression and metastasis.The Journal of clinical investigation · 2018Article
- Histone demethylase KDM5A regulates the ZMYND8-NuRD chromatin remodeler to promote DNA repair.The Journal of cell biology · 2017Article
- Article
- Acetylation Reader Proteins: Linking Acetylation Signaling to Genome Maintenance and Cancer.PLoS genetics · 2016Review
- Screen identifies bromodomain protein ZMYND8 in chromatin recognition of transcription-associated DNA damage that promotes homologous recombination.Genes & development · 2015Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFusion genes have been recognized to play key roles in oncogenesis. Though, many techniques have been developed for genome-wide analysis of fusion genes, a more efficient method is desired.
resultsWe introduced a new method of detecting the novel fusion gene by using GeneChip Exon Array that enables exon expression analysis on a whole-genome scale and TAIL-PCR. To screen genes with abnormal exon expression profiles, we developed computational program, and confirmed that the program was able to search the fusion partner gene using Exon Array data of T-cell acute lymphocytic leukemia (T-ALL) cell lines. It was reported that the T-ALL cell lines, ALL-SIL, BE13 and LOUCY, harbored the fusion gene NUP214-ABL1, NUP214-ABL1 and SET-NUP214, respectively. The program extracted the candidate genes with abnormal exon expression profiles: 1 gene in ALL-SIL, 1 gene in BE13, and 2 genes in LOUCY. The known fusion partner gene NUP214 was included in the genes in ALL-SIL and LOUCY. Thus, we applied the proposed program to the detection of fusion partner genes in other tumors. To discover novel fusion genes, we examined 24 breast cancer cell lines and 20 pancreatic cancer cell lines by using the program. As a result, 20 and 23 candidate genes were obtained for the breast and pancreatic cancer cell lines respectively, and seven genes were selected as the final candidate gene based on information of the EST data base, comparison with normal cell samples and visual inspection of Exon expression profile. Finding of fusion partners for the final candidate genes was tried by TAIL-PCR, and three novel fusion genes were identified.
conclusionsThe usefulness of our detection method was confirmed. Using this method for more samples, it is thought that fusion genes can be identified.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.