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Systematic fusion transcript discovery in mantle cell lymphoma using long-read sequencing.

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bioRxiv : the preprint server for biology 📖 저널 OA 100% 2023: 2/2 OA 2024: 47/47 OA 2025: 299/299 OA 2026: 247/247 OA 2023~2026 2026 OA
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Pasipamire L, Rashid J, Lukan C, Das N, Li J, Masamha CP

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Fusion transcripts are composed of hybrid RNA consisting of transcripts from two distinct genes and can arise from physical linking of genes at the DNA level, splicing or read-through transcription.

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APA Pasipamire L, Rashid J, et al. (2026). Systematic fusion transcript discovery in mantle cell lymphoma using long-read sequencing.. bioRxiv : the preprint server for biology. https://doi.org/10.64898/2026.01.16.699780
MLA Pasipamire L, et al.. "Systematic fusion transcript discovery in mantle cell lymphoma using long-read sequencing.." bioRxiv : the preprint server for biology, 2026.
PMID 41648471 ↗

Abstract

Fusion transcripts are composed of hybrid RNA consisting of transcripts from two distinct genes and can arise from physical linking of genes at the DNA level, splicing or read-through transcription. In addition, there are also fusion transcripts that can occur between a protein coding gene and long non-coding RNAs. Systemic detection of all fusion transcripts at the RNA-level is important in the identification of potential therapeutic drug targets as well as biomarkers for detection, classification, and subtyping of cancer. We used long-read third-generation sequencing of RNA, Iso Sequencing to identify fusion transcripts in Mantle Cell Lymphoma (MCL) cell lines. Our results revealed widespread transcript diversity in MCL. The majority of the long-read transcripts were novel. Some of the thousands of novel transcripts we identified were fusion transcripts. These fusion transcripts had some of the longest transcripts in the MCL transcriptome. We identified the fusion junction of several select fusion transcripts involving protein coding genes including the well-known and widely expressed and validated their presence using other techniques. Furthermore, we also identified and validated a novel fusion transcript between the multifunctional, m6A methylation 'writer', and a long noncoding RNA. Use of the chemical compound, JT-607, an inhibitor of CPSF73/CPSF3 which affects both alternative polyadenylation and read-through transcription resulted in increased expression of the fusion transcript. Our analysis suggests that and many fusion transcripts we identified are intrachromosomal. Since the origin, significance and impact of many fusion transcripts remain unknown, our results support using an unbiased approach to identify fusion transcripts. This will help us to fully comprehend the complexity of the human transcriptome in normal biology and in disease.
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