Trivalent and pentavalent arsenic were incubated with sulfur-containing amino acid, peptide and protein solutions both as organic compounds (phenylarsine oxide, phenylarsonic acid, dimethylarsinic acid, monomethylarsonic acid) and as inorganic compounds (arsenite, As(III), and arsenate, As(V)). After incubation of phenylarsine oxide solutions with cysteine and glutathione the mass spectra showed a covalent bond between arsenic and sulfur, which was stable at both acidic and neutral pH values. The mass spectra were dominated by monovalent ions at m/z 272 for cysteine samples and at m/z 458 for glutathione samples. Based on these masses the ionic structures could be ascribed to either fragment ions of the covalent arsenic-sulfur complexes or to other arsenic-bonding sites presumably at the amino group. Interestingly, under the same conditions no interactions of inorganic arsenite or arsenate could be measured. In the presence of added Cu(2+) ions all mass signals caused by a reaction of phenylarsine oxide with glutathione disappeared. In these mass spectra only the oxidised form of glutathione (GSSG) was found because of the redox activity of Cu(II). For the model protein lysozyme, no interactions with arsenic could be detected, whereas definite Cu- and Zn-lysozyme complexes with a stoichiometry of 1:1 and 2:1 for Zn(2+) ions and Cu(2+) ions, respectively, were observed. In contrast, for thioredoxin a bonding of As that depended on the concentration of the disulfide-reducing agent tris(2-carboxyethyl) phosphine was demonstrated. For three different phenylarsonic acids and for dimethylarsinic acid that all contain pentavalent arsenic, complexes with glutathione appeared in the mass spectra, which can be attributed to non-covalent interactions or to a covalent bond caused by an additive reaction. The optimisation of the experimental conditions necessary for the mass spectrometric analysis of the interactions of the arsenic species with peptides and proteins is described and the obtained mass spectra that provide information on the kinds of bonds are discussed.
An attempt was made to quantitatively describe the binding of phenylarsenic species to thiol-containing biomolecules using electrospray ionization mass spectrometry (ESI-MS). The extent of the reactions of phenylarsine oxide (PAO) with the peptides glutathione and isotocin (ITC) and with the protein thioredoxin resulting in covalent As--S bonds were quantified by deriving the dependence of the corresponding ion signal intensities on the concentration of the reaction products. Problems complicating a quantitative evaluation of the mass spectra, such as signal suppression effects, were critically evaluated. Equilibrium constants for condensation reactions as well as formation constants for noncovalent associations were calculated by means of ESI-MS signal intensities. The comparison of the reaction of PAO with different thiol reactants revealed the highest binding affinity for ITC followed by thioredoxin and a lower affinity to glutathione. Possibly, the intramolecular formation of RS-As(C(6)H(5))-SR occurring in case of ITC and thioredoxin is favored over the intermolecular product involving two molecules glutathione even though the molecular mass of glutathione (307 g mol(-1)) is much smaller than that of ITC (966 g mol(-1)) and thioredoxin (11 688 g mol(-1)). A similar binding affinity for trivalent (K approximately 1.6 x 10(-3) l micromol(-1)) and pentavalent (K approximately 1.6 x 10(-3) and 1.0 x 10(-3) l micromol(-1)) arsenic species was found for the formation of a noncovalent complex of glutathione with different phenylarsenic compounds.
In order to develop a liquid chromatography/electrospray ionisation tandem mass spectrometry (LC/ESI-MS/MS) method for identification and quantification of polar metabolites of explosives using a triple quadrupole system, the mass spectrometric ionisation and fragmentation behaviour of different nitrophenols, nitro- and aminonitrobenzoic acids, nitrotoluenesulfonic acids, and aminonitrotoluenes was investigated. Due to their different molecular structures, the substances concerned showed a very different ionisation efficiency in the ESI process. Interestingly, 2,4-dinitrobenzoic acid yielded no mass signals in the Q1 scan suggesting a thermal decarboxylation in the ion source, whereas the corresponding 3,5-isomer showed a high ionisation yield. Using negative ionisation polarity, carboxylic, phenolic, and sulfonic acid groups were deprotonated resulting in molecular anions, which could be fragmented in a collision cell. A pronounced dependency of the produced fragment ion series on the kind and position of substituents at the nitrobenzene ring (ortho effects) was observed and exploited for the development of substance-specific detection methods in the multiple reaction monitoring mode. In case of benzoic and sulfonic acids, decarboxylation and desulfonation, respectively, were observed as the most frequent fragmentation reactions. Furthermore, besides loss of NO(2), NO fragmentation occurred and preceded a decarbonylation of the benzene ring. The expulsion of the open-shell molecules NO and NO(2) led to a variety of distonic radical anions.
In the present study cultivation-dependent and molecular methods were applied in combination to investigate the arsenite-oxidizing communities in enrichment cultures from arsenic and lead smelter-impacted soils with respect to both 16S rRNA and arsenite oxidase gene diversity. Enrichments with arsenite as the only electron donor resulted in completely different communities than enrichments with yeast extract and the simultaneous presence of arsenite. The lithoautotrophic community appeared to be dominated by Ferrimicrobium-related Actinobacteria, unusual Acidobacteria, Myxobacteria, and α-Proteobacteria but the heterotrophic community comprised many Dokdonella-related γ-Proteobacteria. Gene sequences of clones encoding arsenite oxidase from the enrichment for lithoautotrophs belonged to three major clusters with sequences from non-cultivated microorganisms. So, primers used to detect arsenite oxidase genes could amplify the genes from many α-, β- and γ-Proteobacteria, but not from various strains of the other phyla present in the enrichment for lithotrophs. This was also observed for the isolates where arsenite oxidase genes from new proteobacterial isolates of the genera Burkholderia, Bosea, Alcaligenes, Bradyrhizobium and Methylobacterium could be amplified but the genes of the new Rhodococcus isolate S43 could not. The results indicate that the ability to oxidize arsenite is widespread in various unusual taxa, and molecular methods for their detection require further improvement.
Arsenic-binding proteins are of toxicological importance since enzymatic activities can be blocked by arsenic interactions. In the present work, a novel methodology based on size exclusion chromatography coupled to electrospray ionization mass spectrometry (SEC-ESI-MS) was developed with special emphasis to preserve the intact proteins and their arsenic bindings. The eluent composition of 25 mMTris/HCl, pH 7.5, with the addition of 100-mM NaCl optimized for SEC with UV detection provided the highest SEC separation efficiency, but was not compatible with the ESI-MS because of the non-volatility of the buffer substance and of the salt additive. In order to find the best compromise between chromatographic separation and ionization of the arsenic-binding proteins, buffer type and concentration, pH value, portion of organic solvent in the SEC eluent as well as the flow rate were varied. In the optimized procedure five different arsenic-binding peptides and proteins (glutathione, oxytocin, aprotinin, alpha-lactalbumin, thioredoxin) covering a molar mass range of 0.3-14 kDa could be analyzed using 75% 10-mM ammonium formate, pH 5.0/25% acetonitrile (v : v) as eluent and a turbo ion spray source operated at 300 degrees C and 5.5 kV. A complete differentiation of all peptides and proteins involved in the arsenic-binding studies as well as of their arsenic-bound forms has become feasible by means of the extracted ion chromatograms (XIC) of the mass spectrometric detection. The new method offered the possibility to estimate equilibrium constants for the reaction of phenylarsine oxide with different thiol-containing biomolecules by means of the XIC peak areas of reactants and products. Limits of detection in the range of 2-10 microM were obtained by SEC-ESI-MS for the individual proteins.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.