Evidence map›Paper›PMID 31559901›Full record

ArticleRNA biology2020

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, Andrew Farmer, Jordana M Henderson and 11 more

Abstract read
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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Guidelines for mitochondrial RNA analysis.Molecular therapy. Nucleic acids · 2024
    Review
  5. Review
  6. Review
  7. Respiratory virus infections and adenovirus characteristics during acute exacerbation of chronic obstructive pulmonary disease.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. APE1 controls DICER1 expression in NSCLC through miR-33a and miR-130b.Cellular and molecular life sciences : CMLS · 2022
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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

21 authors.

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 BreidenbachNorwegian Institute for Bioeconomy Research, National Forest Inventory, 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.
Andrew FarmerTakara Bio USA, Inc., Mountain View, CA, USA.
Jordana M HendersonTriLink Biotechnologies LLC, San Diego, CA, USA.
Melanie A HussongQIAGEN Sciences, Frederick, MD, USA.
Pamela MollLexogen GmbH, Vienna, Austria.
Loan NguyenSeqMatic, LLC, Fremont, CA, USA.
Amanda McNultyTakara Bio USA, Inc., Mountain View, CA, USA.
Jonathan M ShafferQIAGEN Sciences, Frederick, MD, USA.
Sabrina ShoreTriLink Biotechnologies LLC, San Diego, CA, USA.
Hoichong Karen YipSeqMatic, LLC, Fremont, CA, USA.
Jana VitkovskaLexogen GmbH, Vienna, Austria.
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

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing is increasingly favoured to assay the presence and abundance of microRNAs (miRNAs) in biological samples, even from low RNA amounts, and a number of commercial vendors now offer kits that allow miRNA sequencing from sub-nanogram (ng) inputs. Although biases introduced during library preparation have been documented, the relative performance of current reagent kits has not been investigated in detail. Here, six commercial kits capable of handling <100ng total RNA input were used for library preparation, performed by kit manufactures, on synthetic miRNAs of known quantities and human total RNA samples. We compared the performance of miRNA detection sensitivity, reliability, titration response and the ability to detect differentially expressed miRNAs. In addition, we assessed the use of unique molecular identifiers (UMI) sequence tags in one kit. We observed differences in detection sensitivity and ability to identify differentially expressed miRNAs between the kits, but none were able to detect the full repertoire of synthetic miRNAs. The reliability within the replicates of all kits was good, while larger differences were observed between the kits, although none could accurately quantify the relative levels of the majority of miRNAs. UMI tags, at least within the input ranges tested, offered little advantage to improve data utility. In conclusion, biases in miRNA abundance are heavily influenced by the kit used for library preparation, suggesting that comparisons of datasets prepared by different procedures should be made with caution. This article is intended to assist researchers select the most appropriate kit for their experimental conditions.

Indexed as

Gene LibraryGenetic EngineeringHigh-Throughput Nucleotide SequencingHumansMicroRNAsReproducibility of ResultsSequence Analysis, RNAMicroRNAslibrary preparationlow RNA inputMicroRNAmiRNAnext generation sequencingNGSsequencing biassmall RNA-seqUMI

Identifiers

PMID31559901
PMCPMC6948978

What OpenQuestion holds

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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.