Since plant tissues are generally transcriptionally active, cells typically contain vast amounts of rRNA transcripts. Therefore, RNA-Seq libraries from plant tissue are frequently obtained from a subset of the total RNA by selection of transcripts containing polyA tails. More recently, researchers have begun to explore the role of RNA classes lacking polyA tails, such as long non-coding RNA (lncRNA) and small nuclear RNAs (snRNA). Detection of these transcripts requires random cDNA priming, since rRNA transcripts will also be primed and can represent over 70% of the RNA in a cell, alternative approaches for the removal of these elements from libraries must be employed for efficient data generation.
Genialis expands multi-omics data analysis workflows to complement single-day RNA-seq library preparation
4 days ago
October 25, 2017