Evidence map›Paper›PMID 27136705›Full record

ArticleJournal of proteome research2016

Characterization of Bacillus subtilis Colony Biofilms via Mass Spectrometry and Fluorescence Imaging.

Tong Si, Bin Li, Ke Zhang, Yiran Xu, Huimin Zhao, Jonathan V Sweedler

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Molecular imaging of bacterial biofilms-a systematic review.Critical reviews in microbiology · 2024
    Pooled it
  2. Article
  3. Article
  4. Dissecting the role ofFrontiers in microbiology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
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  14. Imaging mass spectrometry reveals complex lipid distributions acrossJournal of mass spectrometry and advances in the clinical lab · 2022
    Article
  15. Probing the growth and mechanical properties ofSynthetic and systems biotechnology · 2022
    Article
  16. "Omic" Approaches to Bacteria and Antibiotic Resistance Identification.International journal of molecular sciences · 2022
    Review
  17. Review
  18. Identification, Structure and Characterization ofJournal of clinical medicine · 2022
    Article
  19. Article
  20. Isocitrate dehydrogenase of Bacillus cereus is involved in biofilm formation.World journal of microbiology & biotechnology · 2021
    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 1 institution in 1 country.

Tong SiDepartment of Chemical and Biomolecular Engineering and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Bin LiDepartment of Chemistry, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Ke ZhangDepartment of Chemistry, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Yiran XuDepartment of Biochemistry, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Huimin ZhaoDepartment of Chemical and Biomolecular Engineering and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Jonathan V SweedlerDepartment of Chemistry, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
University of Illinois Urbana-Champaign · US

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

Colony biofilms of Bacillus subtilis are a widely used model for studying cellular differentiation. Here, we applied matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) to examine cellular and molecular heterogeneity in B. subtilis colony biofilms. From B. subtilis cells cultivated on a biofilm-promoting medium, we detected two cannibalistic factors not found in previous MALDI MSI studies of the same strain under different culturing conditions. Given the importance of cannibalism in matrix formation of B. subtilis biofilms, we employed a transcriptional reporter to monitor matrix-producing cell subpopulations using fluorescence imaging. These two complementary imaging approaches were used to characterize three B. subtilis strains, the wild type isolate NCIB3610, and two mutants, Δspo0A and ΔabrB, with defective and enhanced biofilm phenotypes, respectively. Upon deletion of key transcriptional factors, correlated changes were observed in biofilm morphology, signaling, cannibalistic factor distribution, and matrix-related gene expression, providing new insights on cannibalism in biofilm development. This work underscores the advantages of using multimodal imaging to compare spatial patterns of selected molecules with the associated protein expression patterns, obtaining information on cellular heterogeneity and function not obtainable when using a single method to characterize biofilm formation.

Indexed as

BiofilmsBacillus subtilisCytophagocytosisMutationOptical ImagingPhenotypeProteomicsSingle-Cell AnalysisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTranscription FactorsTranscription Factorsbiofilmcell differentiationfluorescence imagingmass spectrometry imagingtranscriptional reporter

Identifiers

PMID27136705
PMCPMC4895246
OpenAlexW2346270910

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.