Evidence map›Paper›PMID 25942392›Full record

ArticlePloS one2015

Bias in ligation-based small RNA sequencing library construction is determined by adaptor and RNA structure.

Ryan T Fuchs, Zhiyi Sun, Fanglei Zhuang, G Brett Robb

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed
–field-weighted citation impact
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

115 citing papers in PubMed.

  1. Trial
  2. Article
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  6. Micro RNA Sequencing in Circulating Tumor Cells.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Sequencing technologies to measure translation in single cells.Nature reviews. Molecular cell biology · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

55 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ryan T FuchsRNA Research Division, New England Biolabs Incorporated, Ipswich, Massachusetts, United States of America.
Zhiyi SunRNA Research Division, New England Biolabs Incorporated, Ipswich, Massachusetts, United States of America.
Fanglei ZhuangRNA Research Division, New England Biolabs Incorporated, Ipswich, Massachusetts, United States of America.
G Brett RobbRNA Research Division, New England Biolabs Incorporated, Ipswich, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing (HTS) has become a powerful tool for the detection of and sequence characterization of microRNAs (miRNA) and other small RNAs (sRNA). Unfortunately, the use of HTS data to determine the relative quantity of different miRNAs in a sample has been shown to be inconsistent with quantitative PCR and Northern Blot results. Several recent studies have concluded that the major contributor to this inconsistency is bias introduced during the construction of sRNA libraries for HTS and that the bias is primarily derived from the adaptor ligation steps, specifically where single stranded adaptors are sequentially ligated to the 3' and 5'-end of sRNAs using T4 RNA ligases. In this study we investigated the effects of ligation bias by using a pool of randomized ligation substrates, defined mixtures of miRNA sequences and several combinations of adaptors in HTS library construction. We show that like the 3' adaptor ligation step, the 5' adaptor ligation is also biased, not because of primary sequence, but instead due to secondary structures of the two ligation substrates. We find that multiple secondary structural factors influence final representation in HTS results. Our results provide insight about the nature of ligation bias and allowed us to design adaptors that reduce ligation bias and produce HTS results that more accurately reflect the actual concentrations of miRNAs in the defined starting material.

Indexed as

AnimalsComputational BiologyGenomic LibraryHigh-Throughput Nucleotide SequencingHumansMiceMicroRNAsNucleic Acid ConformationRatsRNA Ligase (ATP)RNA, Small UntranslatedSelection BiasSequence Analysis, RNAViral Proteinsbacteriophage T4 RNA ligase 1MicroRNAsRNA Ligase (ATP)RNA, Small UntranslatedViral Proteins

Identifiers

PMID25942392
PMCPMC4420488

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Registered trials

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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.