A Protocol for the Detection of Fusion Transcripts Using RNA-Sequencing Data.
Fiza HamidSimran AroraPragya ChitkaraShailesh KumarPublished in: Methods in molecular biology (Clifton, N.J.) (2024)
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.
Keyphrases
- rna seq
- single cell
- genome wide
- genome wide identification
- high throughput
- copy number
- real time pcr
- genome wide analysis
- papillary thyroid
- randomized controlled trial
- loop mediated isothermal amplification
- gene expression
- bone marrow
- squamous cell carcinoma
- big data
- stem cells
- bioinformatics analysis
- machine learning
- lymph node metastasis