Evidence map›Paper›PMID 37246712›Full record

ArticleNucleic acids research2023

A rapid protocol for ribosome profiling of low input samples.

Andreas Meindl, Markus Romberger, Gerhard Lehmann, Norbert Eichner, Leon Kleemann, Jie Wu, Johannes Danner, Maria Boesl, Mikhail Mesitov, Gunter Meister and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

13 authors.

Andreas MeindlRegensburg Center for Biochemistry, University of Regensburg, Regensburg, Germany.
Markus RombergerRegensburg Center for Biochemistry, University of Regensburg, Regensburg, Germany.
Gerhard LehmannBiochemistry I, University of Regensburg, Regensburg, Germany.
Norbert EichnerBiochemistry I, University of Regensburg, Regensburg, Germany.
Leon KleemannDepartment of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, Switzerland.
Jie WuDepartment of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, Switzerland.
Johannes DannerBiochemistry I, University of Regensburg, Regensburg, Germany.
Maria BoeslRegensburg Center for Biochemistry, University of Regensburg, Regensburg, Germany.
Mikhail MesitovInstitute of Molecular Biology (IMB), Mainz, Germany.
Gunter MeisterBiochemistry I, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-2098-9923
Julian KönigInstitute of Molecular Biology (IMB), Mainz, Germany.
Sebastian Andreas LeidelDepartment of Chemistry, Biochemistry and Pharmaceutical Sciences, University of Bern, Bern, Switzerland.ORCID 0000-0002-0523-6325
Jan MedenbachRegensburg Center for Biochemistry, University of Regensburg, Regensburg, Germany.ORCID 0000-0003-0749-7788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosome profiling provides quantitative, comprehensive, and high-resolution snapshots of cellular translation by the high-throughput sequencing of short mRNA fragments that are protected by ribosomes from nucleolytic digestion. While the overall principle is simple, the workflow of ribosome profiling experiments is complex and challenging, and typically requires large amounts of sample, limiting its broad applicability. Here, we present a new protocol for ultra-rapid ribosome profiling from low-input samples. It features a robust strategy for sequencing library preparation within one day that employs solid phase purification of reaction intermediates, allowing to reduce the input to as little as 0.1 pmol of ∼30 nt RNA fragments. Hence, it is particularly suited for the analyses of small samples or targeted ribosome profiling. Its high sensitivity and its ease of implementation will foster the generation of higher quality data from small samples, which opens new opportunities in applying ribosome profiling.

Indexed as

Ribosome ProfilingHigh-Throughput Nucleotide SequencingProtein BiosynthesisRibosomesRNA, MessengerRNA, Messenger

Identifiers

PMID37246712
PMCPMC10359457

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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.