Evidence map›Paper›PMID 36040266›Full record

ReviewProtein science : a publication of the Protein Society2022

Phenotypic mutations contribute to protein diversity and shape protein evolution.

Maria Luisa Romero Romero, Cedric Landerer, Jonas Poehls, Agnes Toth-Petroczy

Open access · hybridAbstract readReview
In one paragraph

Review in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. A 20 Bp Indel ofAnimals : an open access journal from MDPI · 2026
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  15. Phenotypic mutations contribute to protein diversity and shape protein evolution.Protein science : a publication of the Protein Society · 2022
    Review
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

4 authors at 1 institution in 1 country.

Maria Luisa Romero RomeroMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.ORCID 0000-0003-3397-6758
Cedric LandererMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.ORCID 0000-0002-2122-6506
Jonas PoehlsMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.ORCID 0000-0002-6137-2794
Agnes Toth-PetroczyMax Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.ORCID 0000-0002-0333-604X
Center for Systems Biology Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Errors in DNA replication generate genetic mutations, while errors in transcription and translation lead to phenotypic mutations. Phenotypic mutations are orders of magnitude more frequent than genetic ones, yet they are less understood. Here, we review the types of phenotypic mutations, their quantifications, and their role in protein evolution and disease. The diversity generated by phenotypic mutation can facilitate adaptive evolution. Indeed, phenotypic mutations, such as ribosomal frameshift and stop codon readthrough, sometimes serve to regulate protein expression and function. Phenotypic mutations have often been linked to fitness decrease and diseases. Thus, understanding the protein heterogeneity and phenotypic diversity caused by phenotypic mutations will advance our understanding of protein evolution and have implications on human health and diseases.

Indexed as

DNA ReplicationProtein BiosynthesisCodon, TerminatorEvolution, MolecularHumansMutationCodon, Terminatorframeshiftsprotein evolutiontranscriptional errorstranslational errors

Identifiers

PMID36040266
PMCPMC9375231
OpenAlexW4291197578

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.