2017
DOI: 10.1007/s00253-017-8563-3
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Application of proteotyping Strain Solution™ ver. 2 software and theoretically calculated mass database in MALDI-TOF MS typing of Salmonella serotype

Abstract: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based microbial identification is a popular analytical method. Strain Solution proteotyping software available for MALDI-TOF MS has great potential for the precise and detailed discrimination of microorganisms at serotype- or strain-level, beyond the conventional mass fingerprinting approaches. Here, we constructed a theoretically calculated mass database of Salmonella enterica subspecies enterica consisting of 12 bioma… Show more

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Cited by 17 publications
(11 citation statements)
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“…More recently, a study using similar peaks as serotype biomarkers and ad hoc software allowed 94% of correct S. enterica subsp. enterica serotype assignment using a set of 12 species-specific peaks [30]. The authors reported up to 96% correct serotype identification when the software reduced the number of biomarkers used to 10, with no impact on the specificity of the analysis.…”
Section: Resultsmentioning
confidence: 99%
“…More recently, a study using similar peaks as serotype biomarkers and ad hoc software allowed 94% of correct S. enterica subsp. enterica serotype assignment using a set of 12 species-specific peaks [30]. The authors reported up to 96% correct serotype identification when the software reduced the number of biomarkers used to 10, with no impact on the specificity of the analysis.…”
Section: Resultsmentioning
confidence: 99%
“…However, MALDI-TOF MS can clearly identify Salmonella only at the genus or species level when in vitro diagnostic (IVD) databases are used. Typing of Salmonella requires the definition of serovar-specific biomarker proteins [28]. Because the reliability of such biomarker sets is controversial, this approach is not applicable in routine diagnostics [29].…”
Section: Discussionmentioning
confidence: 99%
“…More recently, a study using similar peaks allowed correct identification of 94% S. enterica subsp. enterica serovars assignment using a set of 12 species-specific peaks (Ojima-Kato et al, 2017;Rodríguez-Sánchez et al, 2019).…”
Section: Modern Methods In Clinical Microbiologymentioning
confidence: 99%