MALDI-TOF MS data of bacteria collected in Vietnam
Ontology highlight
ABSTRACT: MALDI-TOF MS analysis was performed using an Autoflex Speed LRF mass
spectrometer (Bruker Daltonics) equipped with a Smartbeam-II laser (355 nm).
Project description:Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has exhibited advantages in rapid analysis of metabolites. This data set provides support to the discuss of influence of interferential species, matrix effect and instrument parameters on metabolite qualification and quantification.
Project description:The N-glycome was mapped and visualised on formalin-fixed mouse kidney tissue using an ultrafleXtreme MALDI-ToF/ToF MS instrument (Bruker Daltonics).
Project description:To construct a rapid, high-throughput screening method for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS).
Project description:Tryptic peptides and N-glycans were spatially mapped and visualised on formalin-fixed paraffin-embedded (FFPE) endometrial cancer tissue microarrays (TMAs) using an ultrafleXtreme MALDI-ToF/ToF MS instrument (Bruker Daltonics). FFPE egg white was placed either side of each TMA and used as an external control to monitor detector performance and sample preparation.
Project description:SARS-CoV-2 infection poses a global health crisis. In parallel with the ongoing world effort to identify therapeutic solutions, there is a critical need for improvement in the prognosis of COVID-19. Here, we report plasma proteome finger print that predict high (hospitalized)and low risk(outpatients) cases of COVID-19 identified by a platform that combines machine learning with matrix-assisted laser desorption ionization mass spectrometry (MALDI-TOF MS) analysis. Sample preparation, MS and data analysis parameters were optimized to achieve an overall accuracy of 92%, sensitivity of 93%, and specificity of 92% in dataset without feature selection. Further on, we identified two distinct regions in the MALDI-TOF profile belonging to the same proteoforms. Unbiased discrimination of high and low-risk COVID-19patients employing a technology that is currently in clinical use may have a prompt application in the noninvasive prognosis of COVID-19. Further validation will consolidate its clinical utility.
Project description:In order to better understand chemical hybridizing agent (CHA) SQ-1-induced pollen abortion in wheat better, comparative proteomic analyses were conducted. A total of 61 proteins showed statistically significant differences in abundance, among which, 18 proteins were highly abundant and 43 proteins were less abundant in CHA-SQ-1 treated plants. Here, 60 proteins were successfully identified using MALDI-TOF/TOF mass spectrometry. These proteins were found to be involved in pollen maturation. Interactions between these proteins were predicted using bioinformatics analysis. Gene ontology and pathway analyses revealed that the majority of the identified proteins were involved in diverse biological processes. These results provide information for the molecular events (carbohydrate metabolism and energy metabolism) underlying CHA-SQ-1-induced pollen abortion and may serve as an additional guide for practical hybrid breeding.
Project description:Regarding the mass spectrometry data submission requirement, we need to clarify that our MALDI-TOF-MS data were generated using a Bruker MALDI Biotyper system, which is specifically designed for clinical microbial identification. The system generates proprietary format files(.fid) rather than conventional proteomics raw data formats (.RAW). We can provide compressed packages of all source files.