Although lipids are crucial molecules for cell structure, metabolism, and signaling in most organs, they have additional specific functions in the skin. Lipids are required for the maintenance and regulation of the epidermal barrier, physical properties of the skin, and defense against microbes. Analysis of the lipidome-the totality of lipids-is of similar complexity to those of proteomics or other omics, with lipid structures ranging from simple, linear, to highly complex structures. In addition, the ordering and chemical modifications of lipids have consequences on their biological function, especially in the skin. Recent advances in analytic capability (usually with mass spectrometry), bioinformatic processing, and integration with other dermatological big data have allowed researchers to increasingly understand the roles of specific lipid species in skin biology. In this paper, we review the techniques used to analyze skin lipidomics and epilipidomics.
- MeSH
- big data MeSH
- biomedicínský výzkum MeSH
- epigeneze genetická MeSH
- hmotnostní spektrometrie MeSH
- kůže metabolismus patologie MeSH
- lidé MeSH
- lipidomika metody MeSH
- metabolismus lipidů MeSH
- výpočetní biologie MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
Several proteomic approaches were applied to identify protein markers providing typical signals during intact cell/spore (IC/IS) MALDI-TOF MS of two plant pathogens, namely Bremia lactucae (a downy mildew) and Oidium neolycopersici (a powdery mildew). First, proteins were extracted from intact spores of the microorganisms under conditions simulating their treatment prior to the mass spectrometric analysis. After a separation by electrophoresis and tryptic digestion, 198 and 140 proteins were identified in the B. lactucae and O. neolycopersici extracts, respectively. A large portion of them were found to be involved in the process of protein biosynthesis. For the first time, some proteins were assigned to characteristic signals in MS profiles of the investigated pathogens based on an agreement in the molecular mass. There were 9 and 10 proteins recognized, respectively, which could contribute significantly to the spectral patterns. These proteins were assigned tentatively to the following peaks in the MS profiles: (i) m/z 7828; 8593; 10 456; 11 312; 12 450; 12 763; 14 756 and 16 854 for B. lactucae; (ii) m/z 7709; 8895; 9504; 9952; 11 317; 14 082 and 14 839 for O. neolycopersici. We demonstrated the presence of ribosomal proteins and histones, which could be employed as markers in biotyping analyses for pathogen identification.
- MeSH
- Ascomycota chemie MeSH
- fungální proteiny analýza chemie MeSH
- mykologické určovací techniky metody MeSH
- nemoci rostlin mikrobiologie MeSH
- peptidy analýza chemie MeSH
- proteomika MeSH
- spektrometrie hmotnostní - ionizace laserem za účasti matrice metody MeSH
- spory hub chemie MeSH
- Publikační typ
- časopisecké články MeSH
Penicillin production during a fermentation process using industrial strains of Penicillium chrysogenum is a research topic permanently discussed since the accidental discovery of the antibiotic. Intact cell mass spectrometry (ICMS) can be a fast and novel monitoring tool for the fermentation progress during penicillin V production in a nearly real-time fashion. This method is already used for the characterization of microorganisms and the differentiation of fungal strains; therefore, the application of ICMS to samples directly harvested from a fermenter is a promising possibility to get fast information about the progress of fungal growth. After the optimization of the ICMS method to penicillin V fermentation broth samples, the obtained ICMS data were evaluated by hierarchical cluster analysis or an in-house software solution written especially for ICMS data comparison. Growth stages of a batch and fed-batch fermentation of Penicillium chrysogenum are differentiated by one of those statistical approaches. The application of two matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) instruments in the linear positive ion mode from different vendors demonstrated the universal applicability of the developed ICMS method. The base for a fast and easy-to-use method for monitoring the fermentation progress of P. chrysogenum is created with this ICMS method developed especially for fermentation broth samples.
