Evidence map›Paper›PMID 22647250›Full record

ArticleSilence2012

Reducing ligation bias of small RNAs in libraries for next generation sequencing.

Karim Sorefan, Helio Pais, Adam E Hall, Ana Kozomara, Sam Griffiths-Jones, Vincent Moulton, Tamas Dalmay

Open access · hybridAbstract read
In one paragraph

Article in Silence, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 2 pooled it
10.1field-weighted citation impact, top 1% 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

124 citing papers in PubMed, 2 syntheses or guidelines pooled it, 199 citations in OpenAlex.

  1. Pooled it
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  13. YBX1-interacting small RNAs andJournal of bone oncology · 2023
    Article
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64 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

7 authors at 2 institutions in 1 country.

Karim Sorefan *School of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
Helio Pais *School of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
Adam E HallSchool of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
Ana KozomaraFaculty of Life Sciences, University of Manchester, Manchester, M13 9PT, UK.
Sam Griffiths-JonesFaculty of Life Sciences, University of Manchester, Manchester, M13 9PT, UK.
Vincent MoultonSchool of Computing Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
Tamas DalmaySchool of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
University of East Anglia · GBUniversity of Manchester · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G008078/1Biotechnology and Biological Sciences Research Council BB/G022623/1
6 · The paper itself

Abstract

backgroundThe use of nucleic acid-modifying enzymes has driven the rapid advancement in molecular biology. Understanding their function is important for modifying or improving their activity. However, functional analysis usually relies upon low-throughput experiments. Here we present a method for functional analysis of nucleic acid-modifying enzymes using next generation sequencing.

findingsWe demonstrate that sequencing data of libraries generated by RNA ligases can reveal novel secondary structure preferences of these enzymes, which are used in small RNA cloning and library preparation for NGS. Using this knowledge we demonstrate that the cloning bias in small RNA libraries is RNA ligase-dependent. We developed a high definition (HD) protocol that reduces the RNA ligase-dependent cloning bias. The HD protocol doubled read coverage, is quantitative and found previously unidentified microRNAs. In addition, we show that microRNAs in miRBase are those preferred by the adapters of the main sequencing platform.

conclusionsSequencing bias of small RNAs partially influenced which microRNAs have been studied in depth; therefore most previous small RNA profiling experiments should be re-evaluated. New microRNAs are likely to be found, which were selected against by existing adapters. Preference of currently used adapters towards known microRNAs suggests that the annotation of all existing small RNAs, including miRNAs, siRNAs and piRNAs, has been biased.

Identifiers

PMID22647250
PMCPMC3489589
OpenAlexW2161892393

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.