Evidence map›Paper›PMID 36549662›Full record

ArticleMetallomics : integrated biometal science2023

Analysis of copper-induced protein precipitation across the E. coli proteome.

Amy T R Robison, Grace R Sturrock, Jacqueline M Zaengle-Barone, Nancy Wiebelhaus, Azim Dharani, Isabella G Williams, Michael C Fitzgerald, Katherine J Franz

Open access · bronzeAbstract read
In one paragraph

Article in Metallomics : integrated biometal science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  7. Copper homeostasis and pregnancy complications: a comprehensive review.Journal of assisted reproduction and genetics · 2025
    Review
  8. Article
  9. Proteomic strategies to interrogate the Fe-S proteome.Biochimica et biophysica acta. Molecular cell research · 2024
    Review
  10. Article
  11. Article
  12. 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

8 authors at 1 institution in 1 country.

Amy T R RobisonDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Grace R SturrockDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Jacqueline M Zaengle-BaroneDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Nancy WiebelhausDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Azim DharaniDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Isabella G WilliamsDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Michael C FitzgeraldDepartment of Chemistry, Duke University, Durham, NC 27708, USA.
Katherine J FranzDepartment of Chemistry, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-9015-0998
Duke University · US

Funding

Elucidating the Molecular Basis of Cellular Metal Stress by using Mass Spectrometry-Based Proteomic MethodsR01GM145035 · NIGMS · DUKE UNIVERSITY · PI FITZGERALD, MICHAEL C, FRANZ, KATHERINE J. · 2022 to 2025
$2.1M
NIGMS NIH HHS R01 GM145035NIH HHS 1R01-GM145035
6 · The paper itself

Abstract

Metal cations have been exploited for their precipitation properties in a wide variety of studies, ranging from differentiating proteins from serum and blood to identifying the protein targets of drugs. Despite widespread recognition of this phenomenon, the mechanisms of metal-induced protein aggregation have not been fully elucidated. Recent studies have suggested that copper's (Cu) ability to induce protein aggregation may be a main contributor to Cu-induced cell death. Here, we provide the first proteome-wide analysis of the relative sensitivities of proteins across the Escherichia coli proteome to Cu-induced aggregation. We utilize a metal-induced protein precipitation (MiPP) methodology that relies on quantitative bottom-up proteomics to define the metal concentration-dependent precipitation properties of proteins on a proteomic scale. Our results establish that Cu far surpasses other metals in promoting protein aggregation and that the protein aggregation is reversible upon metal chelation. The bulk of the Cu bound in the protein aggregates is Cu1+, regardless of the Cu2+ source. Analysis of our MiPP data allows us to investigate underlying biophysical characteristics that determine a protein's sensitivity to Cu-induced aggregation, which is independent of the relative concentration of protein in the lysate. Overall, this analysis provides new insights into the mechanism behind Cu cytotoxicity, as well as metal cation-induced protein aggregation.

Indexed as

CopperEscherichia coliProtein AggregatesProteomeProteomicsCopperProtein AggregatesProteomeaggregation, copperEscherichia coli, folding, proteintoxicity

Identifiers

PMID36549662
PMCPMC9830969
OpenAlexW4312113718

What OpenQuestion holds

Textmetadata
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.