Evidence map›Paper›PMID 36685854›Full record

ArticleFrontiers in genetics2022

Identification of extremely GC-rich micro RNAs for RT-qPCR data normalization in human plasma.

Volker Baumann, Angelos-Theodoros Athanasiou, Omid R Faridani, Andreas R Schwerdtfeger, Bernard Wallner, Ralf Steinborn

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Volker BaumannGenomics Core Facility, VetCore, University of Veterinary Medicine, Vienna, Austria.
Angelos-Theodoros AthanasiouGenomics Core Facility, VetCore, University of Veterinary Medicine, Vienna, Austria.
Omid R FaridaniGarvan Institute of Medical Research, Sydney, NSW, Australia.
Andreas R SchwerdtfegerInstitute of Psychology, Karl-Franzens-University Graz, Graz, Austria.
Bernard WallnerDepartment of Behavioral and Cognitive Biology, University of Vienna, Vienna, Austria.
Ralf SteinbornGenomics Core Facility, VetCore, University of Veterinary Medicine, Vienna, Austria.
University of Veterinary Medicine Vienna · ATUniversity of Vienna · ATGarvan Institute of Medical Research · AUUniversity of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed at extending the repertoire of high-quality miRNA normalizers for reverse transcription-quantitative PCR (RT-qPCR) of human plasma with special emphasis on the extremely guanine-cytosine-rich portion of the miRNome. For high-throughput selection of stable candidates, microarray technology was preferred over small-RNA sequencing (sRNA-seq) since the latter underrepresented miRNAs with a guanine-cytosine (GC) content of at least 75% (

Indexed as

cognitive stress-copinghuman plasma miRNAsmiRNA expression microarraymiRNA reference genesqPCR normalizationsmall-RNA sequencingstem-loop reverse-transcription quantitative PCR

Identifiers

PMID36685854
PMCPMC9846067
OpenAlexW4313481707

What OpenQuestion holds

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LicenceCC BY
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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.