Evidence map›Paper›PMID 29623707›Full record

ArticleAnalytical chemistry2018

Quantitative SIMS Imaging of Agar-Based Microbial Communities.

Sage J B Dunham, Joanna F Ellis, Nameera F Baig, Nydia Morales-Soto, Tianyuan Cao, Joshua D Shrout, Paul W Bohn, Jonathan V Sweedler

Abstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Molecular imaging of bacterial biofilms-a systematic review.Critical reviews in microbiology · 2024
    Pooled it
  2. Review of methods for the determination of cellular cholesterol content: principles, advantages, limitations, applications, and perspectives.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
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  15. Spatiotemporal Dynamics of Molecular Messaging in Bacterial Co-Cultures Studied by Multimodal Chemical Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2019
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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.

Sage J B DunhamDepartment of Chemistry and Beckman Institute for Advanced Science and Technology , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.
Joanna F EllisDepartment of Chemistry and Beckman Institute for Advanced Science and Technology , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.
Nameera F BaigDepartment of Chemistry and Biochemistry and Department of Chemical and Biomolecular Engineering , University of Notre Dame , Notre Dame , Indiana 46556 , United States.
Nydia Morales-SotoDepartment of Civil and Environmental Engineering and Earth Sciences and Department of Biological Sciences , University of Notre Dame , Notre Dame , Indiana 46556 , United States.
Tianyuan CaoDepartment of Chemistry and Biochemistry and Department of Chemical and Biomolecular Engineering , University of Notre Dame , Notre Dame , Indiana 46556 , United States.
Joshua D ShroutDepartment of Civil and Environmental Engineering and Earth Sciences and Department of Biological Sciences , University of Notre Dame , Notre Dame , Indiana 46556 , United States.
Paul W BohnDepartment of Chemistry and Biochemistry and Department of Chemical and Biomolecular Engineering , University of Notre Dame , Notre Dame , Indiana 46556 , United States.ORCID 0000-0001-9052-0349
Jonathan V SweedlerDepartment of Chemistry and Beckman Institute for Advanced Science and Technology , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , United States.ORCID 0000-0003-3107-9922

Funding

Characterization of Biofilms by Correlated Mass Spectrometric and Raman ImagingR01AI113219 · NIAID · UNIVERSITY OF NOTRE DAME · PI SHROUT, JOSHUA · 2014 to 2023
$4.7M
NIAID NIH HHS R01 AI113219
6 · The paper itself

Abstract

After several decades of widespread use for mapping elemental ions and small molecular fragments in surface science, secondary ion mass spectrometry (SIMS) has emerged as a powerful analytical tool for molecular imaging in biology. Biomolecular SIMS imaging has primarily been used as a qualitative technique; although the distribution of a single analyte can be accurately determined, it is difficult to map the absolute quantity of a compound or even to compare the relative abundance of one molecular species to that of another. We describe a method for quantitative SIMS imaging of small molecules in agar-based microbial communities. The microbes are cultivated on a thin film of agar, dried under nitrogen, and imaged directly with SIMS. By use of optical microscopy, we show that the area of the agar is reduced by 26 ± 2% (standard deviation) during dehydration, but the overall biofilm morphology and analyte distribution are largely retained. We detail a quantitative imaging methodology, in which the ion intensity of each analyte is (1) normalized to an external quadratic regression curve, (2) corrected for isomeric interference, and (3) filtered for sample-specific noise and lower and upper limits of quantitation. The end result is a two-dimensional surface density image for each analyte. The sample preparation and quantitation methods are validated by quantitatively imaging four alkyl-quinolone and alkyl-quinoline N-oxide signaling molecules (including Pseudomonas quinolone signal) in Pseudomonas aeruginosa colony biofilms. We show that the relative surface densities of the target biomolecules are substantially different from values inferred through direct intensity comparison and that the developed methodologies can be used to quantitatively compare as many ions as there are available standards.

Indexed as

Molecular ImagingSpectrometry, Mass, Secondary IonAgarBiofilmsMicrobiotaMicroscopy, ConfocalMicroscopy, FluorescenceParticle SizePseudomonas aeruginosaQuinolinesAgarQuinolines

Identifiers

PMID29623707
PMCPMC5930052

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Registered trials

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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.