Evidence map›Paper›PMID 34292966›Full record

ArticlePloS one2021

Spatially resolved analysis of Pseudomonas aeruginosa biofilm proteomes measured by laser ablation sample transfer.

Aruni Chathurya Pulukkody, Yeni P Yung, Fabrizio Donnarumma, Kermit K Murray, Ross P Carlson, Luke Hanley

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. The adaptability ofFrontiers in cellular and infection microbiology · 2025
    Review
  3. Review
  4. Review
  5. Article
  6. How to study biofilms: technological advancements in clinical biofilm research.Frontiers in cellular and infection microbiology · 2023
    Review
  7. Review
  8. Nutrient Sensing and Biofilm Modulation: The Example of L-arginine inInternational journal of molecular sciences · 2022
    Review
  9. 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 at 3 institutions in 1 country.

Aruni Chathurya PulukkodyDepartment of Chemistry, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Yeni P YungDepartment of Chemistry, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Fabrizio DonnarummaDepartment of Chemistry, Louisiana State University, Baton Rouge, Louisiana, United States of America.
Kermit K MurrayDepartment of Chemistry, Louisiana State University, Baton Rouge, Louisiana, United States of America.ORCID 0000-0002-4976-2263
Ross P CarlsonDepartment of Chemical and Biological Engineering, Center for Biofilm Engineering, Montana State University, Bozeman, Montana, United States of America.
Luke HanleyDepartment of Chemistry, University of Illinois at Chicago, Chicago, Illinois, United States of America.ORCID 0000-0001-7856-1869
University of Illinois Chicago · USLouisiana State University · USMontana State University · US

Funding

Predictive Multiscale Modeling of Microbial Consortia BiofilmsU01EB019416 · NIBIB · MONTANA STATE UNIVERSITY - BOZEMAN · PI CARLSON, ROSS P., FIELDS, MATTHEW W · 2014 to 2017
$1.3M
Orbitrap mass spectrometer for biomedical researchS10RR025653 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI VAN BREEMEN, RICHARD B · 2011 to 2011
$600k
NCRR NIH HHS S10 RR025653NIBIB NIH HHS U01 EB019416
6 · The paper itself

Abstract

Heterogeneity in the distribution of nutrients and oxygen gradients during biofilm growth gives rise to changes in phenotype. There has been long term interest in identifying spatial differences during biofilm development including clues that identify chemical heterogeneity. Laser ablation sample transfer (LAST) allows site-specific sampling combined with label free proteomics to distinguish radially and axially resolved proteomes for Pseudomonas aeruginosa biofilms. Specifically, differential protein abundances on oxic vs. anoxic regions of a biofilm were observed by combining LAST with bottom up proteomics. This study reveals a more active metabolism in the anoxic region of the biofilm with respect to the oxic region for this clinical strain of P. aeruginosa, despite this organism being considered an aerobe by nature. Protein abundance data related to cellular acclimations to chemical gradients include identification of glucose catabolizing proteins, high abundance of proteins from arginine and polyamine metabolism, and proteins that could also support virulence and environmental stress mediation in the anoxic region. Finally, the LAST methodology requires only a few mm2 of biofilm area to identify hundreds of proteins.

Indexed as

Lasers, Solid-StateBacterial ProteinsBiofilmsChromatography, High Pressure LiquidPolycarboxylate CementProteomeProteomicsPseudomonas aeruginosaSpecimen HandlingTandem Mass SpectrometryBacterial ProteinspolycarbonatePolycarboxylate CementProteome

Identifiers

PMID34292966
PMCPMC8297752
OpenAlexW3156971819

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.