Using RNA-Seq for Transcriptome Profiling of Botrylloides sp. Regeneration.
Michael MeierMegan J WilsonPublished in: Methods in molecular biology (Clifton, N.J.) (2022)
The decrease in sequencing costs and technology improvements has led to the adoption of RNA-sequencing to profile transcriptomes from further non-traditional regeneration model organisms such as the colonial ascidian Botrylloides leachii. The relatively unbiased way in which transcripts are identified and quantified makes this technique suitable to detect large-scale changes in expression, and the identification of novel transcripts and isoforms. Of particular interest to many researchers is the discovery of differentially expressed transcripts across different treatment conditions or stages of regeneration. This protocol describes a workflow starting from processing raw sequencing reads, mapping reads, assembly of transcripts, and measuring their abundance, creating lists of differentially expressed genes and their biological interpretation using gene ontologies. All programs used in this protocol are open-source software tools and freely available.
Keyphrases
- single cell
- rna seq
- stem cells
- high throughput
- randomized controlled trial
- genome wide
- poor prognosis
- wound healing
- small molecule
- electronic health record
- high resolution
- genome wide identification
- dna methylation
- gene expression
- binding protein
- mass spectrometry
- antibiotic resistance genes
- genome wide analysis
- data analysis
- replacement therapy