Evidence map›Paper›PMID 24067765›Full record

ArticleThe Analyst2013

Differentiation of microbial species and strains in coculture biofilms by multivariate analysis of laser desorption postionization mass spectra.

Chhavi Bhardwaj, Yang Cui, Theresa Hofstetter, Suet Yi Liu, Hans C Bernstein, Ross P Carlson, Musahid Ahmed, Luke Hanley

Abstract read
In one paragraph

Article in The Analyst, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Chhavi BhardwajDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL 60607-7061, USA. LHanley@uic.edu.
Yang Cui
Theresa Hofstetter
Suet Yi Liu
Hans C Bernstein
Ross P Carlson
Musahid Ahmed
Luke Hanley

Funding

Novel Chemical Analyses of the Biofilm-Biomaterial InterfaceR01EB006532 · NIBIB · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HANLEY, LUKE · 2007 to 2010
$1.5M
NIBIB NIH HHS EB006532NIBIB NIH HHS R01 EB006532
6 · The paper itself

Abstract

7.87 to 10.5 eV vacuum ultraviolet (VUV) photon energies were used in laser desorption postionization mass spectrometry (LDPI-MS) to analyze biofilms comprised of binary cultures of interacting microorganisms. The effect of photon energy was examined using both tunable synchrotron and laser sources of VUV radiation. Principal components analysis (PCA) was applied to the MS data to differentiate species in Escherichia coli-Saccharomyces cerevisiae coculture biofilms. PCA of LDPI-MS also differentiated individual E. coli strains in a biofilm comprised of two interacting gene deletion strains, even though these strains differed from the wild type K-12 strain by no more than four gene deletions each out of approximately 2000 genes. PCA treatment of 7.87 eV LDPI-MS data separated the E. coli strains into three distinct groups, two "pure" groups, and a mixed region. Furthermore, the "pure" regions of the E. coli cocultures showed greater variance by PCA at 7.87 eV photon energies compared to 10.5 eV radiation. This is consistent with the expectation that the 7.87 eV photoionization selects a subset of low ionization energy analytes while 10.5 eV is more inclusive, detecting a wider range of analytes. These two VUV photon energies therefore give different spreads via PCA and their respective use in LDPI-MS constitute an additional experimental parameter to differentiate strains and species.

Indexed as

BiofilmsMicrobiotaSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBacterial Typing TechniquesCoculture TechniquesEscherichia coliMultivariate Analysis

Identifiers

PMID24067765
PMCPMC3833099

What OpenQuestion holds

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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.