Evidence map›Paper›PMID 30105741›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

Cell-Free Identification of S. cerevisiae Strains by Analysis of Supernatant Using LC-MS.

Cathy Muste, Kevin G Owens

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2018. 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
–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

1 citing paper in PubMed.

  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.

Cathy MusteDepartment of Chemistry, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104-2875, USA.
Kevin G OwensDepartment of Chemistry, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104-2875, USA. kevin.owens@drexel.edu.ORCID http://orcid.org/0000-0002-2813-3169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current literature shows a gap for methods which can identify yeast sub-species (strains or serovars) in samples where there are no viable cells remaining. Presented here is a technique for the analysis of yeast supernatant, including solid phase extraction, data-dependent acquisition liquid chromatography/mass spectrometry (LC-MS), and two chemometric methods to identify and classify yeast strains. Five strains of Saccharomyces cerevisiae were successfully identified in various stages of growth. In addition, peptide/protein identification was performed, without the need for additional data acquisition. Graphical Abstract ᅟ.

Indexed as

AlgorithmsCell-Free SystemChromatography, LiquidFungal ProteinsMass SpectrometryPeptidesPrincipal Component AnalysisSaccharomyces cerevisiaeFungal ProteinsPeptidesBiomarkerLC-MSMicroorganism identificationS. cerevisiaeSecreted peptidesStrain identificationYeast

Identifiers

PMID30105741

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.