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Updated: Mar 15, 2026

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
Published on: February 2, 2024
Deep Sequencing Analysis of Nucleolar Small RNAs: Bioinformatics
Baoyan Bai1, Marikki Laiho2,3
1Department of Immunology, Institute for Cancer Research, Oslo University Hospital, Oslo, and Centre for Cancer Biomedicine, University of Oslo, Oslo, Norway.
Abstract:
Small RNAs (size 20-30 nt) of various types have been actively investigated in recent years, and their subcellular compartmentalization and relative concentrations are likely to be of importance to their cellular and physiological functions. Comprehensive data on this subset of the transcriptome can only be obtained by application of high-throughput sequencing, which yields data that are inherently complex and multidimensional, as sequence composition, length, and abundance will all inform to the small RNA function. Subsequent data analysis, hypothesis testing, and presentation/visualization of the results are correspondingly challenging. We have constructed small RNA libraries derived from different cellular compartments, including the nucleolus, and asked whether small RNAs exist in the nucleolus and whether they are distinct from cytoplasmic and nuclear small RNAs, the miRNAs. Here, we present a workflow for analysis of small RNA sequencing data generated by the Ion Torrent PGM sequencer from samples derived from different cellular compartments.
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