Nucleic Acids ResearchMolecular BiologyPeer-reviewed journal article
AQ-seq: Accurate quantification of microRNAs and their variants
Haedong KimiD, Jimi KimiD, Kijun KimiD, Hyeshik ChangiD, Kwontae YouiD, V. Narry KimiD
Abstract
MicroRNAs (miRNAs) modulate diverse biological and pathological processes via post-transcriptional gene silencing. High-throughput small RNA sequencing (sRNA-seq) has been widely adopted to investigate the functions and regulatory mechanisms of miRNAs. However, accurate quantification has been limited owing to the severe ligation bias in conventional sRNA-seq methods. Here we present a high-throughput protocol, termed AQ-seq (accurate quantification by sequencing), that utilizes adapters with terminal degenerate sequences and a high concentration of polyethylene glycol (PEG), which removes the ligation bias during library preparation. By accurately measuring miRNAs and their variants (known as isomiRs), we identify alternatively processed miRNAs and correct the 5' end usage and strand preference that have been misannotated. We also uncover highly modified miRNAs that are uridylated and adenylated. Taken together, AQ-seq reveals the complexity of the miRNA isoform landscape, allowing us to refine miRNA annotation and to advance our understanding of miRNA regulation. Furthermore, AQ-seq can be adopted to improve other ligation-based sequencing methods including crosslinking-immunoprecipitation-sequencing (CLIP-seq) and ribosome profiling (Ribo-seq).
- assay: spatial transcriptomics
- assay: bulk RNA-seq
- assay: ATAC-seq
- assay: scRNA-seq
- research focus: variant calling
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 114
- FWCI
- 3.99
- Field percentile
- top 4%
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