Evidence map›Paper›PMID 39925782›Full record

ArticleBiology methods & protocols2025

Development of a highly sensitive method to detect translational infidelity.

Max Hartmann, Lisa Neher, Benjamin Grupp, Zhouli Cao, Chloe Chiew, Sebastian Iben

Abstract read
In one paragraph

Article in Biology methods & protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Current Understanding of Protein Aggregation in Neurodegenerative Diseases.International journal of molecular sciences · 2025
    Review
  4. 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.

Max HartmannDepartment of Dermatology and Allergic Diseases, Ulm University, 89081 Ulm, Germany.
Lisa NeherDepartment of Dermatology and Allergic Diseases, Ulm University, 89081 Ulm, Germany.
Benjamin GruppDepartment of Molecular Genetics, Ulm University, 89081 Ulm, Germany.
Zhouli CaoDepartment of Dermatology and Allergic Diseases, Ulm University, 89081 Ulm, Germany.
Chloe ChiewDepartment of Dermatology and Allergic Diseases, Ulm University, 89081 Ulm, Germany.
Sebastian IbenDepartment of Dermatology and Allergic Diseases, Ulm University, 89081 Ulm, Germany.ORCID https://orcid.org/0000-0002-5207-2861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein homeostasis (proteostasis) is the balance of protein synthesis, protein maintenance, and degradation. Loss of proteostasis contributes to the aging process and characterizes neurodegenerative diseases. It is well established that the processes of protein maintenance and degradation are declining with aging; however, the contribution of a declining quality of protein synthesis to the loss of proteostasis is less well understood. In fact, protein synthesis at the ribosome is an error-prone process and challenges the cell with misfolded proteins. Here, we present the development of a highly sensitive and reproducible reporter assay for the detection of translational errors and the measurement of translational fidelity. Using Nano-luciferase, an enzyme 3 times smaller and 50 times more sensitive than the hitherto used Firefly-luciferase, we introduced stop-codon and amino-acid exchanges that inactivate the enzyme. Erroneous re-activation of luciferase activity indicates ribosomal inaccuracy and translational infidelity. This highly sensitive and reproducible method has broad applications for studying the molecular mechanisms underlying diseases associated with defective protein synthesis and can be used for drug screening to modulate translational fidelity.

Indexed as

nanoluciferaseribosometranslational fidelity

Identifiers

PMID39925782
PMCPMC11805343

What OpenQuestion holds

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LicenceCC BY
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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.