Evidence map›Paper›PMID 35609278›Full record

ArticleACS chemical neuroscience2022

A Chemical Mutagenesis Approach to Insert Post-translational Modifications in Aggregation-Prone Proteins.

Ying Ge, Athina Masoura, Jingzhou Yang, Francesco A Aprile

Open access · hybridAbstract read
In one paragraph

Article in ACS chemical neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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.

Ying GeDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, United Kingdom.ORCID 0000-0002-7423-1296
Athina MasouraDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, United Kingdom.
Jingzhou YangDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, United Kingdom.
Francesco A AprileDepartment of Chemistry, Molecular Sciences Research Hub, Imperial College London, London W12 0BZ, United Kingdom.ORCID 0000-0002-5040-4420
Imperial College London · GB

Funding

Medical Research Council MR/S033947/1
6 · The paper itself

Abstract

Neurodegenerative diseases are a class of disorders linked to the formation in the nervous system of fibrillar protein aggregates called amyloids. This aggregation process is affected by a variety of post-translational modifications, whose specific mechanisms are not fully understood yet. Emerging chemical mutagenesis technology is currently striving to address the challenge of introducing protein post-translational modifications, while maintaining the stability and solubility of the proteins during the modification reaction. Several amyloidogenic proteins are highly aggregation-prone, and current modification procedures can lead to unexpected precipitation of these proteins, affecting their yield and downstream characterization. Here, we present a method for maintaining amyloidogenic protein solubility during chemical mutagenesis. As proof-of-principle, we applied our method to mimic the phosphorylation of serine-26 and the acetylation of lysine-28 of the 40-residue long variant of amyloid-β peptide, whose aggregation is linked to Alzheimer's disease.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAmyloidAmyloidogenic ProteinsHumansMutagenesisProtein Processing, Post-TranslationalAmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsAlzheimer’s diseaseamyloid-βchemical mutagenesispost-translational modification

Identifiers

PMID35609278
PMCPMC9204764
OpenAlexW4281484026

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.