Bioinformatics Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India.
Methods Mol Biol. 2024;2812:243-258. doi: 10.1007/978-1-0716-3886-6_14.
Fusion transcripts are formed when two genes or their mRNAs fuse to produce a novel gene or chimeric transcript. Fusion genes are well-known cancer biomarkers used for cancer diagnosis and as therapeutic targets. Gene fusions are also found in normal physiology and lead to the evolution of novel genes that contribute to better survival and adaptation for an organism. Various in vitro approaches, such as FISH, PCR, RT-PCR, and chromosome banding techniques, have been used to detect gene fusion. However, all these approaches have low resolution and throughput. Due to the development of high-throughput next-generation sequencing technologies, the detection of fusion transcript becomes feasible using whole genome sequencing, RNA-Seq data, and bioinformatics tools. This chapter will overview the general computational protocol for fusion transcript detection from RNA-sequencing datasets.
融合转录本是由两个基因或它们的 mRNA 融合产生的新型基因或嵌合转录本。融合基因是用于癌症诊断和治疗靶点的著名癌症生物标志物。融合基因也存在于正常生理中,导致新基因的进化,为生物体的更好生存和适应做出贡献。已经使用各种体外方法,如 FISH、PCR、RT-PCR 和染色体带技术,来检测基因融合。然而,所有这些方法的分辨率和通量都很低。由于高通量下一代测序技术的发展,使用全基因组测序、RNA-Seq 数据和生物信息学工具来检测融合转录本成为可能。本章将概述从 RNA-seq 数据集中检测融合转录本的一般计算方案。