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Updated: Feb 7, 2026

Tumor Engraftment in a Xenograft Mouse Model of Human Mantle Cell Lymphoma
Published on: March 30, 2018
Systematic fusion transcript discovery in mantle cell lymphoma using long-read sequencing
Lael Pasipamire1, Jacob Rashid1, Caiden Lukan1
1Department of Pharmaceutical Sciences, Butler University, Indianapolis, IN, USA.
Researchers identified novel fusion transcripts, including a long non-coding RNA fusion, in Mantle Cell Lymphoma using Iso Sequencing. This discovery highlights the complexity of the cancer transcriptome and aids in finding new therapeutic targets.
Area of Science:
- Genomics
- Transcriptomics
- Cancer Biology
Background:
- Fusion transcripts, arising from distinct genes, are crucial for identifying cancer biomarkers and therapeutic targets.
- Detecting all fusion transcripts at the RNA level is vital for cancer research.
Purpose of the Study:
- To identify and characterize fusion transcripts in Mantle Cell Lymphoma (MCL) using long-read RNA sequencing.
- To investigate novel fusion transcripts, including those involving long non-coding RNAs.
Main Methods:
- Employed Iso Sequencing (third-generation long-read RNA sequencing) on MCL cell lines.
- Validated identified fusion transcripts using orthogonal techniques.
- Investigated the effect of CPSF73/CPSF3 inhibition on a specific fusion transcript.
Main Results:
- Revealed extensive transcript diversity and numerous novel transcripts in MCL.
- Identified several novel fusion transcripts, some of which were among the longest in the MCL transcriptome.
- Validated known (CTBS::GNG5) and novel fusion transcripts (RBM15::LAMTOR5:AS), including one involving a long non-coding RNA.
- Observed increased expression of RBM15::LAMTOR5:AS upon treatment with JT-607, a CPSF73/CPSF3 inhibitor.
Conclusions:
- The study identified a novel fusion transcript (RBM15::LAMTOR5:AS) and numerous other fusion transcripts in MCL.
- These findings underscore the importance of unbiased approaches for comprehensive fusion transcript identification.
- The discovered fusion transcripts contribute to understanding transcriptome complexity in cancer and normal biology.
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