Evidence map›Paper›PMID 32820594›Full record

ReviewProteomics2020

Analyzing Ribosome Remodeling in Health and Disease.

Aleksandra A Petelski, Nikolai Slavov

Abstract readReview
In one paragraph

Review in Proteomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. RiboScreenBiomedicines · 2026
    Review
  2. Article
  3. Article
  4. The Ribosome Hypothesis: Decoding Mood Disorder Complexity.International journal of molecular sciences · 2024
    Article
  5. Article
  6. Specialized Ribosomes in Health and Disease.International journal of molecular sciences · 2023
    Review
  7. Ribosome biogenesis in disease: new players and therapeutic targets.Signal transduction and targeted therapy · 2023
    Review
  8. Article
  9. Article
  10. Scaling Up Single-Cell Proteomics.Molecular & cellular proteomics : MCP · 2022
    Article
  11. 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

2 authors.

Aleksandra A PetelskiDepartment of Bioengineering, Northeastern University, Boston, MA, 02115, USA.ORCID 0000-0001-9843-8876
Nikolai SlavovDepartment of Bioengineering, Northeastern University, Boston, MA, 02115, USA.ORCID 0000-0003-2035-1820

Funding

Ribosome-mediated translational regulation during stem cell differentiationDP2GM123497 · NIGMS · NORTHEASTERN UNIVERSITY · PI SLAVOV, NIKOLAI · 2016 to 2016
$2.4M
NIGMS NIH HHS DP2 GM123497NIGMS NIH HHS DP2GM123497
6 · The paper itself

Abstract

Increasing evidence suggests that ribosomes actively regulate protein synthesis. However, much of this evidence is indirect, leaving this layer of gene regulation largely unexplored, in part due to methodological limitations. Indeed, evidence is reviewed demonstrating that commonly used methods, such as transcriptomics, are inadequate because the variability in mRNAs coding for ribosomal proteins (RP) does not necessarily correspond to RP variability. Thus protein remodeling of ribosomes should be investigated by methods that allow direct quantification of RPs, ideally of isolated ribosomes. Such methods are reviewed, focusing on mass spectrometry and emphasizing method-specific biases and approaches to control these biases. It is argued that using multiple complementary methods can help reduce the danger of interpreting reproducible systematic biases as evidence for ribosome remodeling.

Indexed as

RibosomesMass SpectrometryProtein BiosynthesisRibosomal ProteinsRNA, MessengerRibosomal ProteinsRNA, Messengercomplementary mass spectrometry methodspost-transcriptional regulationribosome specialization

Identifiers

PMID32820594
PMCPMC7501214

What OpenQuestion holds

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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.