Evidence map›Paper›PMID 32005151›Full record

ArticleBMC genomics2020

A systemic approach to screening high-throughput RT-qPCR data for a suitable set of reference circulating miRNAs.

Konrad Pagacz, Przemyslaw Kucharski, Urszula Smyczynska, Szymon Grabia, Dipanjan Chowdhury, Wojciech Fendler

Abstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Liquid Biopsy for Cancer Cachexia: Focus on Muscle-Derived microRNAs.International journal of molecular sciences · 2021
    Review
  15. Article
  16. Article
  17. Article
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

6 authors.

Konrad PagaczDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland.
Przemyslaw KucharskiDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland.
Urszula SmyczynskaDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland.
Szymon GrabiaDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland.
Dipanjan ChowdhuryDana-Farber Cancer Institute, Harvard Medical School, Boston, USA.
Wojciech FendlerDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, Lodz, Poland. Wojciech_fendler@dfci.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe consensus on how to choose a reference gene for serum or plasma miRNA expression qPCR studies has not been reached and none of the potential candidates have yet been convincingly validated. We proposed a new in silico approach of finding a suitable reference for human, circulating miRNAs and identified a new set of endogenous reference miRNA based on miRNA profiling experiments from Gene Expression Omnibus. We used 3 known normalization algorithms (NormFinder, BestKeeper, GeNorm) to calculate a new normalization score. We searched for a universal set of endogenous miRNAs and validated our findings on 2 new datasets using our approach.

resultsWe discovered and validated a set of 13 miRNAs (miR-222, miR-92a, miR-27a, miR-17, miR-24, miR-320a, miR-25, miR-126, miR-19b, miR-199a-3p, miR-30b, miR-30c, miR-374a) that can be used to create a reliable reference combination of 3 miRNAs. We showed that on average the mean of 3 miRNAs (p = 0.0002) and 2 miRNAs (p = 0.0031) were a better reference than single miRNA. The arithmetic means of 3 miRNAs: miR-24, miR-222 and miR-27a was shown to be the most stable combination of 3 miRNAs in validation sets.

conclusionsNo single miRNA was suitable as a universal reference in serum miRNA qPCR profiling, but it was possible to designate a set of miRNAs, which consistently contributed to most stable combinations.

Indexed as

AlgorithmsCirculating MicroRNAComputational BiologyComputer SimulationDatabases, GeneticGene Expression ProfilingHumansReal-Time Polymerase Chain ReactionReference StandardsCirculating MicroRNA

Identifiers

PMID32005151
PMCPMC6995162

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.