Engineering chitinolytic activity into a cellulose-active lytic polysaccharide monooxygenase provides insights into substrate specificity.

Lytic polysaccharide monooxygenases (LPMOs) catalyze oxidative cleavage of recalcitrant polysaccharides such as cellulose and chitin and play an important role in the enzymatic degradation of biomass. Although it is clear that these monocopper enzymes have extended substrate-binding surfaces for interacting with their fibrous substrates, the structural determinants of LPMO substrate specificity remain largely unknown. To gain additional insight into substrate specificity in LPMOs, here we generated a mutant library of a cellulose-active family AA10 LPMO from Streptomyces coelicolor A3(2) (ScLPMO10C, also known as CelS2) having multiple substitutions at five positions on the substrate-binding surface that we identified by sequence comparisons. Screening of this library using a newly-developed MS-based high-throughput assay helped identify multiple enzyme variants that contained four substitutions and exhibited significant chitinolytic activity and a concomitant decrease in cellulolytic activity. The chitin-active variants became more rapidly inactivated during catalysis than a natural chitin-active AA10 LPMO, an observation likely indicative of suboptimal substrate binding leading to autocatalytic oxidative damage of these variants. These results reveal several structural determinants of LPMO substrate specificity and underpin the notion that productive substrate binding by these enzymes is complex, depending on a multitude of amino acids located on the substrate-binding surface.

The role of PCNA as a scaffold protein in cellular signaling is functionally conserved between yeast and humans.

Proliferating cell nuclear antigen (PCNA), a member of the highly conserved DNA sliding clamp family, is an essential protein for cellular processes including DNA replication and repair. A large number of proteins from higher eukaryotes contain one of two PCNA-interacting motifs: PCNA-interacting protein box (PIP box) and AlkB homologue 2 PCNA-interacting motif (APIM). APIM has been shown to be especially important during cellular stress. PIP box is known to be functionally conserved in yeast, and here, we show that this is also the case for APIM. Several of the 84 APIM-containing yeast proteins are associated with cellular signaling as hub proteins, which are able to interact with a large number of other proteins. Cellular signaling is highly conserved throughout evolution, and we recently suggested a novel role for PCNA as a scaffold protein in cellular signaling in human cells. A cell-penetrating peptide containing the APIM sequence increases the sensitivity toward the chemotherapeutic agent cisplatin in both yeast and human cells, and both yeast and human cells become hypersensitive when the Hog1/p38 MAPK pathway is blocked. These results suggest that the interactions between APIM-containing signaling proteins and PCNA during the DNA damage response is evolutionary conserved between yeast and mammals and that PCNA has a role in cellular signaling also in yeast.

Quantitative analysis of amino and organic acids by methyl chloroformate derivatization and GC-MS/MS analysis.

Alkyl chloroformates are known for their ability to produce mixed anhydrides, and they have found use as versatile derivatization reagents for gas chromatographic (GC) separation of amino- and organic acids. Triple-quadrupole mass spectrometers are excellent detectors for high sensitive and selective analysis. Here, we describe a methyl chloroformate (MCF) GC-MS/MS method for the quantitative analysis of metabolites containing amino- and/or carboxylic groups. The method covers over 60 metabolites with quantitation limits down to the low picomole range injected on column, and any metabolite with amino- and/or carboxylic acid functional groups that yield a stable and volatile MCF derivative can be included in the method. Absolute quantitation can be achieved by including a stable isotope-coded derivatization agent (d3-MCF) and deuterated alcohol solvent (e.g., d4-methanol). As the carboxylic and amino groups are differently labeled, the former from the solvent methanol while the latter from MCF, this approach can also be used to identify a number of amino and carboxylic groups in unknown analytes in an extract.

Stable isotope coded derivatizing reagents as internal standards in metabolite profiling.

Gas chromatography (GC) and liquid chromatography (LC) coupled to mass spectrometric (MS) detection have become the two main techniques for the analysis of metabolite pools (i.e. Metabolomics). These technologies are especially suited for Metabolite Profiling analysis of various metabolite groups due to high separation capabilities of the chromatographs and high sensitivity of the mass analysers. The trend in quantitative Metabolite Profiling is to add more metabolites and metabolite groups in a single method. This should not be done by compromising the analytical precision. Mass spectrometric detection comes with certain limitations, especially in the quantitative aspects as standards are needed for conversion of ion abundance to concentration and ionization efficiencies are directly dependent on eluent conditions. This calls for novel strategies to counteract all variables that can influence the quantitative precision. Usually, internal standards are used to correct any technical variation. For quantitation of single or just a few analytes this can be executed with spiking isotopically labeled standards. However, for more comprehensive analytical tasks, e.g. profiling tens or hundreds of analytes simultaneously, this strategy becomes expensive and in many cases isotopically labeled standards are not available. An alternative is to introduce a derivatizing step where the sample is derivatized with naturally labeled reagent, while a standard solution is separately derivatized with isotopically labeled reagent and spiked into the sample solution prior to analysis. This strategy, named isotope coded derivatization - ICD, is attractive in the emerging field of quantitative Metabolite Profiling where current protocols can easily comprise over hundred metabolites. This review provides an overview of isotopically labeled derivatizing reagents that have been developed for important metabolite groups with the aim to improve analytical performance and precision.

Utilization of a deuterated derivatization agent to synthesize internal standards for gas chromatography-tandem mass spectrometry quantification of silylated metabolites.

GC-MS analysis of silylated metabolites is a sensitive method that covers important metabolite groups such as sugars, amino acids and non-amino organic acids, and it has become one of the most important analytical methods for exploring the metabolome. Absolute quantitative GC-MS analysis of silylated metabolites poses a challenge as different metabolites have different derivatization kinetics and as their silyl-derivates have varying stability. This report describes the development of a targeted GC-MS/MS method for quantification of metabolites. Internal standards for each individual metabolite were obtained by derivatization of a mixture of standards with deuterated N-methyl-N-trimethylsilyltrifluoroacetamide (d9-MSTFA), and spiking this solution into MSTFA derivatized samples prior to GC-MS/MS analysis. The derivatization and spiking protocol needed optimization to ensure that the behaviour of labelled compound responses in the spiked sample correctly reflected the behaviour of unlabelled compound responses. Using labelled and unlabelled MSTFA in this way enabled normalization of metabolite responses by the response of their deuterated counterpart (i.e. individual correction). Such individual correction of metabolite responses reproducibly resulted in significantly higher precision than traditional data correction strategies when tested on samples both with and without serum and urine matrices. The developed method is thus a valuable contribution to the field of absolute quantitative metabolomics.

A new high resolution screening method for study of phenotype stress responses of Saccharomyces cerevisae mutants.

A high resolution high throughput screening method has been developed for stress response phenotyping of the global Saccharomyces cerevisiae knock out mutant collection. Stress causing agent is added at three concentrations to individual mutant cultures growing in early exponentially phase in 384-well microplates, and the dynamic effect of stress agent exposure is measured by following subsequent growth profiles of individual mutants with a resolution of three optical density measurements per hour. Software was written for calculation of sensitivity coefficients and efficient visual inspection of the growth and inhibition curves. Three DNA damage response causing agents were chosen to explore the feasibility of the new screening method: methyl methanesulphonate, 5-fluorouracil and cisplatin. They were tested in three biological replicas on a 1400 mutant large sub-library of the homozygote diploid S. cerevisiae gene knock out collection. The sub-library consisted of only mutants with a human ortholog to the inactivated gene. Almost 400 mutants were found more sensitive to one or more of the agents. Forty-nine mutants were sensitive to all three agents. One of the mutants, ERK5, sensitive to all three agents was chosen for follow-up human cell experiments to verify that such yeast screens can be used as hypothesis generator for human cell studies. Similar to yeast, HeLa cells became more sensitive against all three DNA damaging agents when co-treated with the ERK5 inhibitor BIX21088, thus supporting the result from the yeast phenotype screen.