Project description:Matrix-assisted laser desorption/ionization mass spectrometry imaging allows for the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In this study, we compared the performance of three different matrices, two deposition techniques, and the use of positive and negative polarity in two different brain cancer types and across two species. Optimal combinations were confirmed by a comparative analysis of lipid and small-molecule abundance by using liquid chromatography-mass spectrometry and RNA sequencing to assess differential metabolites and enzymes between normal and tumor regions. Our findings indicate that in the tumor-bearing brain, the recrystallized α-cyano-4-hydroxycinnamic acid matrix with positive polarity offered superior performance for both detected metabolites and consistency with other techniques. Beyond these implications for brain cancer, our work establishes a workflow to identify optimal matrices for spatial metabolomics studies.
Project description:Matrix-assisted laser desorption/ionization mass spectrometry imaging allows for the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In this study, we compared the performance of three different matrices, two deposition techniques, and the use of positive and negative polarity in two different brain cancer types and across two species. Optimal combinations were confirmed by a comparative analysis of lipid and small-molecule abundance by using liquid chromatography-mass spectrometry and RNA sequencing to assess differential metabolites and enzymes between normal and tumor regions. Our findings indicate that in the tumor-bearing brain, the recrystallized α-cyano-4-hydroxycinnamic acid matrix with positive polarity offered superior performance for both detected metabolites and consistency with other techniques. Beyond these implications for brain cancer, our work establishes a workflow to identify optimal matrices for spatial metabolomics studies.
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.
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.
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:This bacterial MALDI-TOF dataset was used for the study "Use of MALDI-TOF mass spectrometry and IDBac to selectively mine for understudied bacterial genera from the environment'. Each spectra contains up to three replicates of MALDI-MS profiles of each bacterial isolate.