Evidence map›Paper›PMID 35687114›Full record

ArticleNucleic acids research2022

Identifying ribosome heterogeneity using ribosome profiling.

Ferhat Alkan, Oscar G Wilkins, Santiago Hernández-Pérez, Sofia Ramalho, Joana Silva, Jernej Ule, William J Faller

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. The ribosomal landscape in influenza A virus infection: from molecular mechanisms to clinical relevance.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  2. Article
  3. Article
  4. High-throughput approaches for the identification of ribosome heterogeneity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. The Ribosome Hypothesis: Decoding Mood Disorder Complexity.International journal of molecular sciences · 2024
    Article
  12. Article
  13. 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

7 authors at 3 institutions in 2 countries.

Ferhat AlkanDivision of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID 0000-0001-6709-9605
Oscar G WilkinsThe Francis Crick Institute, London, UK.ORCID 0000-0002-3334-0568
Santiago Hernández-PérezDivision of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Sofia RamalhoDivision of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID 0000-0002-9091-2657
Joana SilvaDivision of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID 0000-0001-5301-1799
Jernej UleThe Francis Crick Institute, London, UK.
William J FallerDivision of Oncogenomics, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID 0000-0002-0738-2254
The Netherlands Cancer Institute · NLKing's College London · GBThe Francis Crick Institute · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Recent studies have revealed multiple mechanisms that can lead to heterogeneity in ribosomal composition. This heterogeneity can lead to preferential translation of specific panels of mRNAs, and is defined in large part by the ribosomal protein (RP) content, amongst other things. However, it is currently unknown to what extent ribosomal composition is heterogeneous across tissues, which is compounded by a lack of tools available to study it. Here we present dripARF, a method for detecting differential RP incorporation into the ribosome using Ribosome Profiling (Ribo-seq) data. We combine the 'waste' rRNA fragment data generated in Ribo-seq with the known 3D structure of the human ribosome to predict differences in the composition of ribosomes in the material being studied. We have validated this approach using publicly available data, and have revealed a potential role for eS25/RPS25 in development. Our results indicate that ribosome heterogeneity can be detected in Ribo-seq data, providing a new method to study this phenomenon. Furthermore, with dripARF, previously published Ribo-seq data provides a wealth of new information, allowing the identification of RPs of interest in many disease and normal contexts. dripARF is available as part of the ARF R package and can be accessed through https://github.com/fallerlab/ARF.

Indexed as

HumansRibosomal ProteinsRibosomesRNA, MessengerRNA, RibosomalRibosomal ProteinsRNA, MessengerRNA, Ribosomal

Identifiers

PMID35687114
PMCPMC9458444
OpenAlexW4281624786

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.