Reviews & Perspectives
Proteomics-Based Insights Into the SARS-CoV-2–Mediated COVID-19 Pandemic: A Review of the First Year of Research
In Brief SARS-CoV-2, the betacoronavirus that caused the COVID-19 pandemic, became a major source of human disease and death in 2020. The fundamental constituents of a virus being its genome and proteome, characterizing the proteome is essential to understanding its biology. In this review article, we survey the proteomics literature from the first year of the COVID-19 pandemic, including protein–protein interaction studies, post-translational modification studies, and work using proteomics technologies to probe host response, which collectively inform efforts to ameliorate the pandemic.Recent Advances in Analytical Approaches for Glycan and Glycopeptide Quantitation
In Brief Recent years have seen an explosion in novel strategies for quantitative glycomics and glycoproteomics. Whether through metabolic incorporation of stable isotopes, deposition of custom isotopic labels, or high-throughput isobaric chemical tags, these numerous novel strategies provide ease of access to glycomic and glycoproteomic investigation. This review highlights the recent innovations in labeling methods, label-free strategies, acquisition modes, and bioinformatic tools for glycan and glycopeptide quantitation, while providing critical evaluations and technical considerations to enable effective analysis.The Role of Data-Independent Acquisition for Glycoproteomics
In Brief As a highly abundant and diverse post-translational modification, protein glycosylation is challenging to characterize in various approaches including MS. In MS-based proteomics, data-independent acquisition (DIA) has been advanced rapidly and showed outstanding analytical performances. DIA now started to be applied in different facets of glycoproteomics, including deglycosylated and intact N-linked and O-linked glycopeptides, and screening of oxonium ions. We summarized current applications of DIA in glycoproteomics and discussed its limitations and perspectives.Calculating Glycoprotein Similarities From Mass Spectrometric Data
In Brief To understand the roles of glycoproteins in biological processes, it is necessary to quantify the changes that occur to glycosylation at individual sites and to the whole molecule. That glycoprotein glycosylation is inherently heterogeneous means that the distribution of glycoforms at each glycosite must be quantified in order to inform calculation of molecular similarities. We review analytical and statistical methods for determining glycoprotein molecular similarities from glycoproteomics data.Methods for Enrichment and Assignment of N-Acetylglucosamine Modification Sites
In Brief This review article summarizes methods for O-GlcNAc enrichment and different mass spectrometric approaches for acquiring data on modified peptides and describes software strategies for analyzing data, including the challenges of reliably identifying modification sites and differentiating between other potential HexNAc modifications. It then presents a new dataset to exemplify what is currently achievable.Advances in Tools to Determine the Glycan-Binding Specificities of Lectins and Antibodies
Lectins and glycan-binding antibodies are powerful tools in biological research, provided detailed information is available about their glycan-binding specificities. Glycan-arrays, in combination with bioinformatics tools to mine the data, offer the ability to obtain such information. This review focuses on the bioinformatics tools and resources that are available for the analysis of glycan-array data. The tools are enabling new insights into protein-glycan interactions and enhancing the value of glycan-binding proteins in research.
