Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) for rapid identification of Mycobacterium abscessus

Sriram, Raghu; Sahni, A.K.; Dudhat, Vaibhav L.; Pujahari, Aswini Kumar

doi:10.1016/j.mjafi.2017.02.006

Cited by 6 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This preparation is subjected to short laser pulses in high vacuum, which causes the energy absorption by the matrix to be converted into excitation energy and H + transfer to the sample (ionization), normally giving rise to monocharged species. That are analyzed by TOF [23]. This method is used to identify various microorganisms such as bacteria and fungi, mainly [24].…”

Section: Drug Resistancementioning

confidence: 99%

Analysis of Cuorum Sensing-Dependent Virulence Factors and Drug Resistance in Pseudomonas Aeruginosa Strains

Alba-Romero¹,

Ruíz-Flores²,

Castro-Escarpulli³

et al. 2021

SJMH

View full text Add to dashboard Cite

The objective was to analyze the virulence factors dependent on Cuorum Sensing and drug resistance in strains of Pseudomonas aeruginosa. Virulence factors such as pyocyanin, beta-lactamase, biofilm, and antibiotic resistance were determined in 95 strains of P. aeruginosa isolated from hospitalized patients. Genus and species were identified by protein analysis by MALDI-TOF. 100% of the strains were resistant to at least one drug and the highest proportion was 32 strains resistant to 4 drugs and 5 resistant PAM strains. In the analysis of virulence factors, 98.8% produce at least one virulence factor and 48.9% are beta-lactamase producers. Therefore, it is concluded that P. aeruginosa strains isolated from clinical samples constitute a risk factor for hospitalized patients.

show abstract

Section: Drug Resistancementioning

confidence: 99%

Analysis of Cuorum Sensing-Dependent Virulence Factors and Drug Resistance in Pseudomonas Aeruginosa Strains

Alba-Romero¹,

Ruíz-Flores²,

Castro-Escarpulli³

et al. 2021

SJMH

View full text Add to dashboard Cite

show abstract

“…In recent years, a technique known as direct bacterial profiling has increasingly been applied to dissect proteome for bacterial species identification via the matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. A sufficient number of stable mass signals of major housekeeping proteins, such as ribosomal proteins, are reproducibly detected for bacterial species identification by using simple mass pattern-matching approaches or more sophisticated algorithms to compare and estimate the similarities between spectra [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. These characteristic mass profiles (patterns) were successfully applied to bacterial subtyping at the species level, but hardly recognized the serovar level (i.e., the H and O antigen levels) [ 19 ] due to their bias toward small ribosomal proteins with a limited range of 2−20 kDa.…”

Section: Introductionmentioning

confidence: 99%

Proteome-Based Serotyping of the Food-Borne Pathogens Salmonella Enterica by Label-Free Mass Spectrometry

et al. 2022

View full text Add to dashboard Cite

Food-borne diseases caused by Salmonella enterica of 2500 serovars represent a serious public health problem worldwide. A quick identification for the pathogen serovars is critical for controlling food pollution and disease spreading. Here, we applied a mass spectrum-based proteomic profiling for identifying five epidemiologically important Salmonella enterica subsp. enterica serovars (Enteritidis, Typhimurium, London, Rissen and Derby) in China. By label-free analysis, the 53 most variable serovar-related peptides, which were almost all enzymes related to nucleoside phosphate and energy metabolism, were screened as potential peptide biomarkers, and based on which a C5.0 predicted model for Salmonella enterica serotyping with four predictor peptides was generated with the accuracy of 94.12%. In comparison to the classic gene patterns by PFGE analysis, the high-throughput proteomic fingerprints were also effective to determine the genotypic similarity among Salmonella enteric isolates according to each strain of proteome profiling, which is indicative of the potential breakout of food contamination. Generally, the proteomic dissection on Salmonella enteric serovars provides a novel insight and real-time monitoring of food-borne pathogens.

show abstract

“…In recent years, a technique known as direct bacterial profiling, has increasingly been applied to dissect proteome for bacterial species identification via the matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) [3][4][5][6][7][8][9][10]. A sufficient number of stable mass signals of major housekeeping proteins, such as ribosomal proteins, are reproducibly detected for bacterial species identification by using simple mass pattern-matching approaches or more sophisticated algorithms to compare and estimate the similarities between spectra [6,11,12,13,14,15,16,17,18]. This identification approach is not dependent on actually specific ion peaks of MS spectrum but on the characteristic mass profiles (patterns) generated by a set of ion peaks called "fingerprint.…”

Section: Introductionmentioning

confidence: 99%

Peptidome-Based Serotyping of The Food-Borne Pathogens Salmonella Enterica by Label-Free Mass Spectrometry

Wang

Yang

Wang

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Food-borne diseases caused by Salmonella enteric serovars represent a serious public health problem worldwide . More than 2500 different serovars have been reported to relate with food-borne diseases according to the classification of White-Kauffmann-Le Minor scheme by now. A quick identification for the pathogens is critical for controlling food pollution and disease spreading. Results: Here we applied a peptidomic analysis for quickly and precisely identifying serovar-specific peptide markers based on LC-MS/MS profiling of epidemiologically important Salmonella enterica subsp. enterica serovars in China. By label-free quantitative peptidomics MS identification, the 53 most variable serovar-related peptides were screened as potential peptide biomarkers, based on which a C5.0 predicted model with 4 predictor peptides was generated and a test set of 17 Salmonella enterica strains were classified with the accuracy of 94.12%. It is effective to determine the genotypic similarity among Salmonella enteric isolates according to each strain peptidome profiling, which is indicative of potential incidence even breakout of food contamination. This high-throughput strain peptidomic fingerprints are complementary to the genomic patterns by PFGE analysis for precise identification of 5 Salmonella enterica serovars including Enteritidis , Typhimurium , London, Rissen and Derby . The biological analysis showed that most of the changed peptides/proteins were enzymes related to nucleoside phosphate and energy metabolism. Conclusions: the LC-MS/MS based quantitative peptidomic dissection on Salmonella enteric serovars provides a novel insight and real-time monitoring of food-borne pathogens.

show abstract

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) for rapid identification of Mycobacterium abscessus

Abstract: MALDI-TOF MS offers a rapid and inexpensive method for identification of Mycobacteria; however, the scores obtained in our study were lower than reported in other studies.

Cited by 6 publications

References 24 publications

Analysis of Cuorum Sensing-Dependent Virulence Factors and Drug Resistance in Pseudomonas Aeruginosa Strains

Analysis of Cuorum Sensing-Dependent Virulence Factors and Drug Resistance in Pseudomonas Aeruginosa Strains

Proteome-Based Serotyping of the Food-Borne Pathogens Salmonella Enterica by Label-Free Mass Spectrometry

Peptidome-Based Serotyping of The Food-Borne Pathogens Salmonella Enterica by Label-Free Mass Spectrometry

Contact Info

Product

Resources

About