Evidence map›Paper›PMID 38580456›Full record

ArticleRNA (New York, N.Y.)2024

The novel pre-rRNA detection workflow "Riboprobing" allows simple identification of undescribed RNA species.

Magdalena Gerhalter, Lisa Kofler, Gertrude Zisser, Juliane Merl-Pham, Stefanie M Hauck, Helmut Bergler

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Magdalena GerhalterInstitute of Molecular Biosciences, University of Graz, Graz 8010, Austria.ORCID 0000-0001-5545-5836
Lisa KoflerInstitute of Molecular Biosciences, University of Graz, Graz 8010, Austria.
Gertrude ZisserInstitute of Molecular Biosciences, University of Graz, Graz 8010, Austria.
Juliane Merl-PhamMetabolomics and Proteomics Core, Helmholtz Center Munich, Munich 80939, Germany.ORCID 0000-0002-3422-4083
Stefanie M HauckMetabolomics and Proteomics Core, Helmholtz Center Munich, Munich 80939, Germany.ORCID 0000-0002-1630-6827
Helmut BerglerInstitute of Molecular Biosciences, University of Graz, Graz 8010, Austria helmut.bergler@uni-graz.at.ORCID 0000-0002-7724-309X

Funding

Austrian Science Fund FWF P 32536Austrian Science Fund FWF P 32977
6 · The paper itself

Abstract

Ribosomes translate mRNA into proteins and are essential for every living organism. In eukaryotes, both ribosomal subunits are rapidly assembled in a strict hierarchical order, starting in the nucleolus with the transcription of a common precursor ribosomal RNA (pre-rRNA). This pre-rRNA encodes three of the four mature rRNAs, which are formed by several, consecutive endonucleolytic and exonucleolytic processing steps. Historically, northern blots are used to analyze the variety of different pre-rRNA species, only allowing rough length estimations. Although this limitation can be overcome with primer extension, both approaches often use radioactivity and are time-consuming and costly. Here, we present "Riboprobing," a linker ligation-based workflow followed by reverse transcription and PCR for easy and fast detection and characterization of pre-rRNA species and their 5' as well as 3' ends. Using standard molecular biology laboratory equipment, "Riboprobing" allows reliable discrimination of pre-rRNA species not resolved by northern blot (e.g., 27SA

Indexed as

RNA PrecursorsRNA, RibosomalRNA Processing, Post-TranscriptionalWorkflowRNA PrecursorsRNA, Ribosomalaberrant pre-rRNApre-rRNA processingprimer extensionreverse transcriptionribosome biogenesis

Identifiers

PMID38580456
PMCPMC11182013

What OpenQuestion holds

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LicenceCC BY-NC
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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.