Evidence map›Paper›PMID 19861428›Full record

ArticleRNA (New York, N.Y.)2009

Absolute quantification of microRNAs by using a universal reference.

Ute Bissels, Stefan Wild, Stefan Tomiuk, Angela Holste, Markus Hafner, Thomas Tuschl, Andreas Bosio

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

113 citing papers in PubMed, 211 citations in OpenAlex.

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  17. Circular RNA in cancer.Nature reviews. Cancer · 2024
    Review
  18. Article
  19. Non-Coding RNA-Targeted Therapy: A State-of-the-Art Review.International journal of molecular sciences · 2024
    Review
  20. Article

53 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 2 countries.

Ute BisselsMiltenyi Biotec GmbH, 51429 Bergisch Gladbach, Germany.
Stefan Wild
Stefan Tomiuk
Angela Holste
Markus Hafner
Thomas Tuschl
Andreas Bosio
Miltenyi Biotec (Germany) · DEHoward Hughes Medical Institute · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a species of small RNAs approximately 21-23-nucleotides long that have been shown to play an important role in many different cellular, developmental, and physiological processes. Accordingly, numerous PCR-, sequencing-, or hybridization-based methods have been established to identify and quantify miRNAs. Their short length results in a high dynamic range of melting temperatures and therefore impedes a proper selection of detection probes or optimized PCR primers. While miRNA microarrays allow for massive parallel and accurate relative measurement of all known miRNAs, they have so far been less useful as an assay for absolute quantification. Here, we present a microarray-based approach for global and absolute quantification of miRNAs. The method relies on the parallel hybridization of the sample of interest labeled with Cy5 and a universal reference of 954 synthetic miRNAs in equimolar concentrations that are labeled with Cy3 on a microarray slide containing probes for all human, mouse, rat, and viral miRNAs (miRBase 12.0). Each single miRNA is quantified with respect to the universal reference canceling biases related to sequence, labeling, or hybridization. We demonstrate the accuracy of the method by various spike-in experiments. Furthermore, we quantified miRNA copy numbers in liver samples and CD34(+)/CD133(-) hematopoietic progenitor cells.

Indexed as

AnimalsBase SequenceGene DosageHematopoietic Stem CellsHumansLiverMiceMicroRNAsOligonucleotide Array Sequence AnalysisRatsRNA, ViralMicroRNAsRNA, Viral

Identifiers

PMID19861428
PMCPMC2779673
OpenAlexW2102989692

What OpenQuestion holds

Textmetadata
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.