Evidence map›Paper›PMID 30605524›Full record

ArticleNucleic acids research2019

Bias-minimized quantification of microRNA reveals widespread alternative processing and 3' end modification.

Haedong Kim, Jimi Kim, Kijun Kim, Hyeshik Chang, Kwontae You, V Narry Kim

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
4.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 118 citations in OpenAlex.

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  17. The biogenesis and regulation of animal microRNAs.Nature reviews. Molecular cell biology · 2025
    Review
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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Haedong KimCenter for RNA Research, Institute for Basic Science, Seoul 08826, Korea.
Jimi KimCenter for RNA Research, Institute for Basic Science, Seoul 08826, Korea.
Kijun KimCenter for RNA Research, Institute for Basic Science, Seoul 08826, Korea.
Hyeshik ChangCenter for RNA Research, Institute for Basic Science, Seoul 08826, Korea.
Kwontae YouCenter for RNA Research, Institute for Basic Science, Seoul 08826, Korea.
V Narry KimCenter for RNA Research, Institute for Basic Science, Seoul 08826, Korea.
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 of miRNAs has been limited owing to the severe ligation bias in conventional sRNA-seq methods. Here, we quantify miRNAs and their variants (known as isomiRs) by an improved sRNA-seq protocol, termed AQ-seq (accurate quantification by sequencing), that utilizes adapters with terminal degenerate sequences and a high concentration of polyethylene glycol (PEG), which minimize the ligation bias during library preparation. Measurement using AQ-seq allows us to correct the previously misannotated 5' end usage and strand preference in public databases. Importantly, the analysis of 5' terminal heterogeneity reveals widespread alternative processing events which have been underestimated. We also identify highly uridylated miRNAs originating from the 3p strands, indicating regulations mediated by terminal uridylyl transferases at the pre-miRNA stage. Taken together, our study 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).

Indexed as

RNA InterferenceBase SequenceHigh-Throughput Nucleotide SequencingImmunoprecipitationMicroRNAsMolecular Sequence AnnotationPolyethylene GlycolsSequence Analysis, RNAMicroRNAsPolyethylene Glycols

Identifiers

PMID30605524
PMCPMC6411932
OpenAlexW2907850543

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.