Evidence map›Paper›PMID 32436772›Full record

ArticleRNA biology2020

An extension to: Systematic assessment of commercially available low-input miRNA library preparation kits.

Fatima Heinicke, Xiangfu Zhong, Manuela Zucknick, Johannes Breidenbach, Arvind Y M Sundaram, Siri T Flåm, Magnus Leithaug, Marianne Dalland, Simon Rayner, Benedicte A Lie and 1 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RNA biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Fatima HeinickeDepartment of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.ORCID 0000-0001-8253-6105
Xiangfu ZhongDepartment of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.ORCID 0000-0002-1872-1186
Manuela ZucknickDepartment of Biostatistics, Oslo Centre for Biostatistics and Epidemiology, University of Oslo , Oslo, Norway.ORCID 0000-0003-1317-7422
Johannes BreidenbachNational Forest Inventory, Norwegian Institute for Bioeconomy Research , Ås, Norway.ORCID 0000-0002-3137-7236
Arvind Y M SundaramDepartment of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
Siri T FlåmDepartment of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
Magnus LeithaugDepartment of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.ORCID 0000-0002-0271-0677
Marianne DallandDepartment of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.
Simon RaynerDepartment of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.ORCID 0000-0001-8703-9140
Benedicte A LieDepartment of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.ORCID 0000-0002-1159-7004
Gregor D GilfillanDepartment of Medical Genetics, Oslo University Hospital and University of Oslo , Oslo, Norway.ORCID 0000-0001-8116-0134
Oslo University Hospital · NONorwegian Institute of Bioeconomy Research · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing has emerged as the favoured method to study microRNA (miRNA) expression, but biases introduced during library preparation have been reported. We recently compared the performance (sensitivity, reliability, titration response and differential expression) of six commercially-available kits on synthetic miRNAs and human RNA, where library preparation was performed by the vendors. We hereby supplement this study with data from two further commonly used kits (NEBNext, NEXTflex) whose manufacturers initially declined to participate. NEXTflex demonstrated the highest sensitivity, which may reflect its use of partially-randomized adapter sequences, but overall performance was lower than the QIAseq and TailorMix kits. NEBNext showed intermediate performance. We reaffirm that biases are kit specific, complicating the comparison of miRNA datasets generated using different kits.

Indexed as

Gene LibraryGenetic EngineeringHigh-Throughput Nucleotide SequencingLaboratory ChemicalsMicroRNAsReproducibility of ResultsSequence Analysis, RNALaboratory ChemicalsMicroRNAslibrary preparationlow RNA inputmicroRNAmiRNANEBNextNEXTflexNext Generation SequencingNGSsequencing biassmall RNA-seq

Identifiers

PMID32436772
PMCPMC7549702
OpenAlexW3027734696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.