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The approved drugs that target carbonic anhydrases (CA, EC 4.2.1.1), a family of zinc metalloenzymes, comprise almost exclusively of primary sulfonamides (R-SO 2 NH 2 ) as the zinc binding chemotype. New clinical applications for CA inhibitors, particularly for hard-to-treat cancers, has driven a growing interest in the development of novel CA inhibitors. We recently discovered that the thiazolidinedione heterocycle, where the ring nitrogen carries no substituent, is a new zinc binding group and an alternate CA inhibitor chemotype. This heterocycle is curiously also a substructure of the glitazone class of drugs used in the treatment options for type 2 diabetes. Herein, we investigate and characterise three glitazone drugs (troglitazone 11 , rosiglitazone 12 and pioglitazone 13 ) for binding to CA using native mass spectrometry, protein X-ray crystallography and hydrogen-deuterium exchange (HDX) mass spectrometry, followed by CA enzyme inhibition studies. The glitazone drugs all displayed appreciable binding to and inhibition of CA isozymes. Given that thiazolidinediones are not credited as a zinc binding group nor known as CA inhibitors, our findings indicate that CA may be an off-target of these compounds when used clinically. Furthermore, thiazolidinediones may represent a new opportunity for the development of novel CA inhibitors as future drugs.

With the exception of a few master transcription factors, regulators of neutrophil maturation are poorly annotated in the intermediate phenotypes between the granulocyte-macrophage progenitor (GMP) and the mature neutrophil phenotype. Additional challenges in identifying gene expression regulators in differentiation pathways relate to challenges wherein starting cell populations are heterogeneous in lineage potential and development, are spread across various states of quiescence, as well as sample quality and input limitations. These factors contribute to data variability make it difficult to draw simple regulatory inferences. In response we have applied a multi-omics approach using primary blood progenitor cells primed for homogeneous proliferation and granulocyte differentiation states which combines whole transcriptome resequencing (Ampliseq RNA) supported by droplet digital PCR (ddPCR) validation and mass spectrometry-based proteomics in a hypothesis-generation study of neutrophil differentiation pathways. Primary CD34+ cells isolated from human cord blood were first precultured in non-lineage driving medium to achieve an active, proliferating phenotype from which a neutrophil primed progenitor was isolated and cultured in neutrophil lineage supportive medium. Samples were then taken at 24-hour intervals over 9 days and analysed by Ampliseq RNA and mass spectrometry. The Ampliseq dataset depth, breadth and quality allowed for several unexplored transcriptional regulators and ncRNAs to be identified using a combinatorial approach of hierarchical clustering, enriched transcription factor binding motifs, and network mapping. Network mapping in particular increased comprehension of neutrophil differentiation regulatory relationships by implicating ARNT, NHLH1, PLAG1, and 6 non-coding RNAs associated with PU.1 regulation as cell-engineering targets with the potential to increase total neutrophil culture output. Overall, this study develops and demonstrates an effective new hypothesis generation methodology for transcriptome profiling during differentiation, thereby enabling identification of novel gene targets for editing interventions., Competing Interests: Jessica Schwaber is employed at Avectas as a the director of cell and gene therapy during manuscript submission. Panos Chrysanthopoulos is employed at BlueRock therapeutics as senior scientist during manuscript submission. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Aflatoxin contamination is associated with the development of aflatoxigenic fungi such as Aspergillus flavus and A. parasiticus on food grains. This study was aimed at investigating metabolites produced during fungal development on maize and their correlation with aflatoxin levels. Maize cobs were harvested at R3 (milk), R4 (dough), and R5 (dent) stages of maturity. Individual kernels were inoculated in petri dishes with four doses of fungal spores. Fungal colonisation, metabolite profile, and aflatoxin levels were examined. Grain colonisation decreased with kernel maturity: milk-, dough-, and dent-stage kernels by approximately 100%, 60%, and 30% respectively. Aflatoxin levels increased with dose at dough and dent stages. Polar metabolites including alanine, proline, serine, valine, inositol, iso-leucine, sucrose, fructose, trehalose, turanose, mannitol, glycerol, arabitol, inositol, myo-inositol, and some intermediates of the tricarboxylic acid cycle (TCA—also known as citric acid or Krebs cycle) were important for dose classification. Important non-polar metabolites included arachidic, palmitic, stearic, 3,4-xylylic, and margaric acids. Aflatoxin levels correlated with levels of several polar metabolites. The strongest positive and negative correlations were with arabitol ( R = 0.48) and turanose and ( R = −0.53), respectively. Several metabolites were interconnected with the TCA; interconnections of the metabolites with the TCA cycle varied depending upon the grain maturity.

The discovery of a new zinc binding chemotype from screening a nonbiased fragment library is reported. Using the orthogonal fragment screening methods of native state mass spectrometry and surface plasmon resonance a 3-unsubstituted 2,4-oxazolidinedione fragment was found to have low micromolar binding affinity to the zinc metalloenzyme carbonic anhydrase II (CA II). This affinity approached that of fragment sized primary benzenesulfonamides, the classical zinc binding group found in most CA II inhibitors. Protein X-ray crystallography established that 3-unsubstituted 2,4-oxazolidinediones bound to CA II via an interaction of the acidic ring nitrogen with the CA II active site zinc, as well as two hydrogen bonds between the oxazolidinedione ring oxygen and the CA II protein backbone. Furthermore, 3-unsubstituted 2,4-oxazolidinediones appear to be a viable starting point for the development of an alternative class of CA inhibitor, wherein the medicinal chemistry pedigree of primary sulfonamides has dominated for several decades.

Chemical probes are small-molecule reagents used by researchers for labelling and detection of biomolecules. We present the design, synthesis, and characterisation of a panel of 11 structurally diverse photoaffinity labelling (PAL) probes as research tools for labelling the model enzyme carbonic anhydrase (CA) in challenging environments, including in protein mixtures and cell lysates. We targeted the ubiquitous CA II as well as the two cancer-associated CAs (CA IX and CA XII) that are of high priority as potential biomarkers of aggressive and/or multidrug-resistant cancer. We utilise an atypical biophysical approach, native state mass spectrometry, to monitor the initial protein-probe binding and subsequent UV crosslinking efficiency of the protein:probe complex. This mass spectrometry methodology represents a new approach for chemical probe optimisation and development that might have broader applications to chemical probe characterisation beyond this study. This also represents one of the first studies, to the best of our knowledge, in which a comprehensive set of PAL probes has been used to establish the relationship between probe structure, noncovalent protein-probe binding, and covalent protein-probe crosslinking efficiency. Our results demonstrate the benefits of a comprehensive analysis of chemical probe structure-activity relationships to support the development of optimum chemical probes., (© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Protein glycosylation is a critical post-translational modification that regulates the structure, stability, and function of many proteins. Mass spectrometry is currently the preferred method for qualitative and quantitative characterization of glycosylation. However, the inherent heterogeneity of glycosylation makes its analysis difficult. Quantification of glycosylation occupancy, or macroheterogeneity, has proven to be especially challenging. Here, we used a variation of high-resolution multiple reaction monitoring (MRM(HR)) or pseudo-MRM for targeted data-independent acquisition that we term SWAT (sequential window acquisition of targeted fragment ions). We compared the analytical performance of SWATH (sequential window acquisition of all theoretical fragment ions), SWAT, and SRM (selected reaction monitoring) using a suite of synthetic peptides spiked at various concentrations into a complex yeast tryptic digest sample. SWAT provided superior analytical performance to SWATH in a targeted approach. We then used SWAT to measure site-specific N-glycosylation occupancy in cell wall glycoproteins from yeast with defects in the glycosylation biosynthetic machinery. SWAT provided robust measurement of occupancy at more N-glycosylation sites and with higher precision than SWATH, allowing identification of novel glycosylation sites dependent on the Ost3p and Ost6p regulatory subunits of oligosaccharyltransferase., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: High-throughput screening methods assume that the output measured is representative of changes in metabolic flux toward the desired product and is not affected by secondary phenotypes. However, metabolic engineering can result in unintended phenotypes that may go unnoticed in initial screening. The red pigment lycopene, a carotenoid with antioxidant properties, has been used as a reporter of isoprenoid pathway flux in metabolic engineering for over a decade. Lycopene production is known to vary between wild-type Escherichia coli hosts, but the reasons behind this variation have never been fully elucidated., Results: In an examination of six E. coli strains we observed that strains also differ in their capacity for increased lycopene production in response to metabolic engineering. A combination of genetic complementation, quantitative SWATH proteomics, and biochemical analysis in closely-related strains was used to examine the mechanistic reasons for variation in lycopene accumulation. This study revealed that rpoS, a gene previously identified in lycopene production association studies, exerts its effect on lycopene accumulation not through modulation of pathway flux, but through alteration of cellular oxidative status. Specifically, absence of rpoS results in increased accumulation of reactive oxygen species during late log and stationary phases. This change in cellular redox has no effect on isoprenoid pathway flux, despite the presence of oxygen-sensitive iron-sulphur cluster enzymes and the heavy redox requirements of the methylerythritol phosphate pathway. Instead, decreased cellular lycopene in the ΔrpoS strain is caused by degradation of lycopene in the presence of excess reactive oxygen species., Conclusions: Our results demonstrate that lycopene is not a reliable indicator of isoprenoid pathway flux in the presence of oxidative stress, and suggest that caution should be exercised when using lycopene as a screening tool in genome-wide metabolic engineering studies. More extensive use of systems biology for strain analysis will help elucidate such unpredictable side-effects in metabolic engineering projects.

Although adult-onset hypothyroidism (AOH) has been connected to neural activity alterations, including movement, behavioral, and mental dysfunctions, the underlying changes in brain metabolic physiology have not been investigated in a systemic and systematic way. The current knowledge remains fragmented, referring to different experimental setups and recovered from various brain regions. In this study, we developed and applied a gas chromatography-mass spectrometry (GC-MS) metabolomics protocol to obtain a holistic view of the cerebellar metabolic physiology in a Balb/cJ mouse model of prolonged adult-onset hypothyroidism induced by a 64-day treatment with 1% potassium perchlorate in the drinking water of the animals. The high-throughput analysis enabled the correlation between multiple parallel-occurring metabolic phenomena; some have been previously related to AOH, while others implicated new pathways, designating new directions for further research. Specifically, an overall decline in the metabolic activity of the hypothyroid compared to the euthyroid cerebellum was observed, characteristically manifested in energy metabolism, glutamate/glutamine metabolism, osmolytic/antioxidant capacity, and protein/lipid synthesis. These alterations provide strong evidence that the mammalian cerebellum is metabolically responsive to AOH. In light of the cerebellum core functions and its increasingly recognized role in neurocognition, these findings further support the known phenotypic manifestations of AOH into movement and cognitive dysfunctions.

Cell culture engineering has to-date used transcriptomic, proteomic, and metabolic flux analyses, attempting to resolve significant questions regarding cell culture performance. Despite the foreseen positive impact, the metabolomic analytical platform has not yet been vastly deployed. Presently, there is no published application of metabolomics to industrial-scale mammalian cell culture. We applied gas chromatography-mass spectrometry metabolomics to analyze baby hamster kidney (BHK) cells of various cell ages cultivated in high-cell density perfusion reactors at both laboratory and manufacturing scales. Cell growth, metabolic activity and protein productivity measurements, which are currently used to monitor the cellular physiological state, suggested consistency across bioreactors and over the course of the cultivation. Nevertheless, metabolomic profiling enabled the differentiation of cell cultures based on cell age, bioreactor scale and cell source. These results support the usefulness of metabolomics as a high resolution molecular analysis tool in cell culture engineering., (2009 Elsevier Inc. All rights reserved.)

Metabolomics being the most recently introduced "omic" analytical platform is currently at its development phase. For the metabolomics to be broadly deployed to biological and clinical research and practice, issues regarding data validation and reproducibility need to be resolved. Gas chromatography-mass spectrometry (GC-MS) will remain integral part of the metabolomics laboratory. In this paper, the sources of biases in GC-MS metabolomics are discussed and experimental evidence for their occurrence and impact on the final results is provided. When available, methods to correct or account for these biases are presented towards the standardization of a systematic methodology for quantitative GC-MS metabolomics.