Evidence map›Paper›PMID 35168792›Full record

ArticleMethods in enzymology2022

Revealing AMP mechanisms of action through resistance evolution and quantitative proteomics.

Samantha J Balboa, Leslie M Hicks

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in enzymology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.5field-weighted citation impact, top 5% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Samantha J BalboaDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Leslie M HicksDepartment of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States. Electronic address: lmhicks@unc.edu.
University of North Carolina at Chapel Hill · US

Funding

MOLECULAR AND CELLULAR BIOPHYSICS TRAINING PROGRAMT32GM008570 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KUHLMAN, BRIAN A, SLEP, KEVIN C · 1995 to 2022
$5.1M
PepSAVI-MS for discovery of novel botanical antimicrobial peptidesR01GM125814 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HICKS, LESLIE M. · 2018 to 2022
$1.6M
NIGMS NIH HHS R01 GM125814NIGMS NIH HHS T32 GM008570
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a significant public health issue that threatens our ability to treat common infections. AMR often emerges in bacteria through upregulation of proteins that allow a subpopulation of resistant bacteria to proliferate through natural selection. Identifying these proteins is crucial for understanding how AMR develops in bacteria and is essential in developing novel therapeutics to combat the threat of widespread AMR. Mass spectrometry-based proteomics is a powerful tool for understanding the biochemical pathways of biological systems, lending remarkable insight into AMR mechanisms in bacteria through measuring the changing protein abundances as a result of antibiotic treatment. Here, we describe a serial passaging method for evolving resistance in bacteria that implements quantitative proteomics to reveal the differential proteomes of resistant bacteria. The focus herein is on antimicrobial peptides (AMPs), but the approach can be generalized for any antimicrobial compound. Comparative proteomics of sensitive vs. resistance strains in response to AMP treatment reveals mechanisms to survive the bioactive compound and points to the mechanism of action for novel AMPs.

Indexed as

Anti-Bacterial AgentsAntimicrobial PeptidesProteomicsBacteriaDrug Resistance, BacterialProteomeAnti-Bacterial AgentsAntimicrobial PeptidesProteomeAntimicrobial peptidesAntimicrobial resistanceMass spectrometryQuantitative proteomicsSerial passaging

Identifiers

PMID35168792
PMCPMC10961912
OpenAlexW4211205724

What OpenQuestion holds

Textmetadata
LicenceTDM
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.