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A Protocol for the Detection of Fusion Transcripts Using RNA-Sequencing Data.
Hamid, Fiza; Arora, Simran; Chitkara, Pragya; Kumar, Shailesh.
Afiliación
  • Hamid F; Bioinformatics Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India.
  • Arora S; Bioinformatics Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India.
  • Chitkara P; Bioinformatics Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India.
  • Kumar S; Bioinformatics Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India. shailesh@nipgr.ac.in.
Methods Mol Biol ; 2812: 243-258, 2024.
Article en En | MEDLINE | ID: mdl-39068367
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis de Secuencia de ARN / Biología Computacional / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis de Secuencia de ARN / Biología Computacional / Secuenciación de Nucleótidos de Alto Rendimiento Límite: Humans Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos