2018
DOI: 10.1016/j.talanta.2018.01.055
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Rapid and robust analytical protocol for E. coli STEC bacteria subspecies differentiation using whole cell MALDI mass spectrometry

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Cited by 10 publications
(9 citation statements)
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“…The different percentage of acid used in other studies [50% ACN and 2.5% TFA] [16,19,20] may alter the pattern of those extracted proteins. Nevertheless, the ability to tailor a database expands the application of MALDI Biotyper as an identification tool for bacterial species specific to a host or location, and at below species-levels, such as subspecies, strain, or serotype [21,22].…”
Section: Discussionmentioning
confidence: 99%
“…The different percentage of acid used in other studies [50% ACN and 2.5% TFA] [16,19,20] may alter the pattern of those extracted proteins. Nevertheless, the ability to tailor a database expands the application of MALDI Biotyper as an identification tool for bacterial species specific to a host or location, and at below species-levels, such as subspecies, strain, or serotype [21,22].…”
Section: Discussionmentioning
confidence: 99%
“…We used the detected lipid features to cluster individual cells using t-SNE with subsequent Louvain–Jaccard clustering. , Overall, 101 distinct clusters were identified using the Louvain–Jaccard clustering criteria (Figure A). To our knowledge, this is the largest number of clusters determined using any single-cell MS approach , and rivals that of single-cell transcriptomic measurements, demonstrating the rich information garnered using our high-throughput lipid profiling approach. Cluster 1 was the largest and contained 882 cells; clusters 100 and 101 were the smallest with 31 cells each.…”
Section: Resultsmentioning
confidence: 89%
“…(Demirci et al, 2019); Listeria spp. (Thouvenot et al, 2018); Escherichia coli STEC (Mclean et al, 2018); Campylobacter (Lawton et al, 2018); Staphylococcus enterotoxin (Tonacini et al, 2019); Bacillus cereus cereulide (Ulrich et al, 2019); epidemiological studies (Camarasa and Cobo, 2018;Welker et al, 2019), detection of Legionella pneumophila in water system (Trnková et al, 2018), resistance to antibiotics (Carvalho et al, 2017;Cordovana et al, 2019) and pathogens in blood and urinary tract (Opota, 2018;Sánchez-Juanes et al, 2018), among other research studies. The limitation of the technology is that the identification of new isolates is possible only if the spectral database contains fingerprints of peptide mass of the strain type of specific genera, species or subspecies.…”
Section: Resultsmentioning
confidence: 99%