Project description:Precise definition of porin profiles is of critical importance to understand the role of porins in antimicrobial resistance. In this study, the outer membrane proteins (OMP) profiles of 26 clinical isolates of Klebsiella pneumoniae and of strain ATCC 13883 (wild-type) and ATCC 700603 (producing SHV-18) have been determined using both sodium-dodecyl-sulphate polyacrylamide gel electrophoresis (SDS-PAGE) and matrix-assisted laser desorption/ionization–time of flight/mass spectrometry (MALDI-TOF/MS). SDS-PAGE was performed using both homemade and commercial gels, and protein bands were identified by liquid chromatography coupled to mass spectrometry. A rapid extraction method was used to analyse OMPs by MALDI-TOF/MS. The sequences of porin genes were obtained by whole genome sequencing (WGS) and mutations were defined by BLAST. Same results were obtained for all strains either using SDS-PAGE or MALDI-TOF/MS. SDS-PAGE showed protein bands of ~35, ~36, and ~37 KDa, identified as OmpA, OmpK36 and OmpK35, respectively. By MALDI-TOF/MS, peaks at ~35700 (OmpA), ~37000 (OmpK35), and ~38000 (OmpK36) m/z were detected. ompK35 was intact in nine wild-type isolates and was truncated in 13 isolates, but OmpK35 was not observed in 3 isolates without mutations in ompK35. One point mutation was detected in another isolate and multiple mutations were detected in the remaining isolate. ompK36 was truncated in two isolates lacking this protein and presented one point mutation (n=1) or multiple mutations in the remaining isolates. In conclusion, MALDI-TOF/MS was reliable for porin detection, but because of the complex regulation of porin genes, WGS cannot always anticipate protein expression, as observed with SDS-PAGE and MALDI-TOF/MS.
Project description:This bacterial MALDI-TOF dataset was used for the study "AMinimizing Taxonomic and Natural Product Redundancy in Microbial Libraries Using MALDI-TOF MS and the Bioinformatics Pipeline IDBac"
It consists of triplicate MALDI-TOF MS profiles (both reflectron and linear datasets) for >1,600 bacteria cultivated from a collection in Iceland.
Project description:Members of the genus Candida, such as C. albicans and C. parapsilosis, are important human pathogens. Other members of this genus, previously believed to carry minimal disease risk, are increasingly recognised as important human pathogens, particularly because of variations in susceptibilities to widely used anti-fungal agents. Thus, rapid and accurate identification of clinical Candida isolates is fundamental in ensuring timely and effective treatments are delivered. Rapid Evaporative Ionisation Mass Spectrometry (REIMS) has previously been shown to provide a high-throughput platform for the rapid and accurate identification of bacterial and fungal isolates. In comparison to commercially available matrix assisted laser desorption ionisation time of flight mass spectrometry (MALDI-ToF), REIMS based methods require no preparative steps nor time-consuming cell extractions. Here, we report on the ability of REIMS-based analysis to rapidly and accurately identify 153 clinical Candida isolates to species level. Both handheld bipolar REIMS and high-throughput REIMS platforms showed high levels of species classification accuracy, with 96% and 100% of isolates classified correctly to species level respectively. In addition, significantly different (FDR corrected P value < 0.05) lipids within the 600 to 1000 m/z mass range were identified, which could act as species-specific biomarkers in complex microbial communities.
