Evidence map›Paper›PMID 41874162›Full record

ArticleMethods and protocols2026

Abridged Ribosome Profiling for Accurate Bacterial Translation Measurements.

Marc Follmer, Korbinian Pürckhauer, Klaus Neuhaus

Abstract read
In one paragraph

Article in Methods and protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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.

No citing paper in PubMed yet.

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

3 authors.

Marc FollmerCore Facility Microbiome, ZIEL Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany.ORCID 0009-0007-4986-1687
Korbinian PürckhauerCore Facility Microbiome, ZIEL Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany.ORCID 0009-0003-6683-1034
Klaus NeuhausCore Facility Microbiome, ZIEL Institute for Food & Health, Technical University of Munich, 85354 Freising, Germany.ORCID 0000-0002-6020-2814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosome profiling, or Ribo-Seq, is a powerful tool for studying translation. It maps the positions of translating ribosomes on mRNAs, providing insights into actively expressed genes. Unlike mass spectrometry, Ribo-Seq is not affected by the same biases that limit mass spectrometry, such as protein size, concentration, trypsin digestibility, or hydrophobicity. Thus, the translatome has previously been used to discover unannotated genes, including small and overlapping ones that were missed by mass spectrometry or gene prediction models. However, a major limitation of classical ribosome profiling is its complexity, involving multiple steps such as sucrose density gradient centrifugation and gel electrophoresis. These make the method costly, time-consuming, and limit its throughput. Here, we compared the classical method using gradient centrifugation and size exclusion by gel electrophoresis with shortened versions to evaluate experimental performance and achieved reductions. Our results show that the sucrose density gradient centrifugation is essential for obtaining accurate Ribo-Seq data, whereas gel electrophoresis for size selection can be omitted (although this requires increased sequencing depth). Thus, future experiments can be conducted with reduced sample input and hands-on time while still achieving a reliable quantification of translation.

Indexed as

bacterial gene expressionmicrobial translatomicsRibo-Seqribosome profilingshortened workflowtranslation quantification

Identifiers

PMID41874162
PMCPMC13010647

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Registered trials

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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.