The identification of unknown molecules has been one of the cornerstone applications of mass spectrometry for decades. This tutorial reviews the basics of the interpretation of electrospray ionization‐based MS and MS/MS spectra in order to identify small‐molecule analytes (typically below 2000 Da). Most of what is discussed in this tutorial also applies to other atmospheric pressure ionization methods like atmospheric pressure chemical/photoionization. We focus primarily on the fundamental steps of MS‐based structural elucidation of individual unknown compounds, rather than describing strategies for large‐scale identification in complex samples. We critically discuss topics like the detection of protonated and deprotonated ions ([M + H]⁺ and [M − H]⁻) as well as other adduct ions, the determination of the molecular formula, and provide some basic rules on the interpretation of product ion spectra. Our tutorial focuses primarily on the fundamental steps of MS‐based structural elucidation of individual unknown compounds (eg, contaminants in chemical production, pharmacological alteration of drugs), rather than describing strategies for large‐scale identification in complex samples. This tutorial also discusses strategies to obtain useful orthogonal information (UV/Vis, H/D exchange, chemical derivatization, etc) and offers an overview of the different informatics tools and approaches that can be used for structural elucidation of small molecules. It is primarily intended for beginning mass spectrometrists and researchers from other mass spectrometry sub‐disciplines that want to get acquainted with structural elucidation are interested in some practical tips and tricks.

Despite the increasing importance of non-targeted metabolomics to answer various life science questions, extracting biochemically relevant information from metabolomics spectral data is still an incompletely solved problem. Most computational tools to identify tandem mass spectra focus on a limited set of molecules of interest. However, such tools are typically constrained by the availability of reference spectra or molecular databases, limiting their applicability of generating structural hypotheses for unknown metabolites. In contrast, recent advances in the field illustrate the possibility to expose the underlying biochemistry without relying on metabolite identification, in particular via substructure prediction. We describe an automated method for substructure recommendation motivated by association rule mining. Our framework captures potential relationships between spectral features and substructures learned from public spectral libraries. These associations are used to recommend substructures for any unknown mass spectrum. Our method does not require any predefined metabolite candidates, and therefore it can be used for the hypothesis generation or partial identification of unknown unknowns. The method is called MESSAR (MEtabolite SubStructure Auto-Recommender) and is implemented in a free online web service available at messar.biodatamining.be.

Site-specific mapping of multiple deamidations in peptides is a challenging analytical task. In this work, capillary electrophoresis-tandem mass spectrometry (CE-MS/MS) is presented as a high-resolution tool for the detailed characterization of these subtle modifications in peptides. The 4.5-kDa peptide drug TRI-1144, which contains five closely-positioned potential deamidation sites, was selected as model compound. TRI-1144 was exposed to acidic conditions and/or elevated temperatures for 1-14 h. Stressed samples were analyzed using a background electrolyte (BGE) of 150 mM ammonium formate (pH 6.0) in combination with a capillary coated with a bilayer of Polybrene-dextran sulfate. Separation of deamidated and deacetylated TRI-1144 species, including several positional isomers, was greatly enhanced by adding up to 40 vol% of acetonitrile-isopropanol (87.5:12.5, v/v) to the BGE, allowing reliable determination of the number of deamidations/deacetylations per degradation product. Collision-induced dissociation MS/MS was conducted on the separated peptide components in order to reveal the exact position of deamidation on the peptide chain. Obtained fragment ions showed overlapping isotopic distributions in their MS/MS spectra resulting from the comigration of different isomeric deamidated species. Comparison of theoretical and measured isotope distributions for specific y ions of peptide fragments yielded the identity and relative abundance of isomeric deamidated products. The developed CE-MS/MS methodology was used for the highly selective evaluation of TRI-1144 stability under different stress conditions, providing detailed qualitative and semi-quantitative degradation maps of the peptide drug.

Imetelstat (GRN163L) is a potent and specific telomerase inhibitor currently in clinical development for the treatment of hematological malignancies such as myelofibrosis and myelodysplastic syndrome. It is a 13-mer N3′-P5′ thio-phosphoramidate oligonucleotide covalently functionalized at the 5′-end with a palmitoyl lipid moiety through an aminoglycerol linker. As a competitive inhibitor of human telomerase, imetelstat directly binds to the telomerase RNA component sequence (hTR) in the catalytic site of the enzyme and acts as a direct competitor of human telomere binding. Administration of imetelstat causes progressive shortening of the telomeres, thereby inhibiting malignant cells' proliferation. We report here the ability of imetelstat to form stable, parallel, intermolecular G-quadruplex structures in vitro . The impact of the ionic environment on the formation and stability of imetelstat higher-order structure was investigated through circular dichroism spectroscopy, thermal denaturation analysis, and size-exclusion chromatography. We demonstrated that different structural elements, such as the 5′-palmitoyl linker and the thio-phosphoramidate backbone, critically contribute to G-quadruplex stability. Experiments further showed that G-quadruplex formation does not hamper binding to the hTR oligonucleotide sequence in vitro .