In the era of quantitative proteomics, where mass spectrometry plays a pivotal role, in
particular associated with the use of data‐independent acquisition, it is time to perform an …

Aging is a complex process associated with nearly all diseases. Understanding the
molecular changes underlying aging and identifying therapeutic targets for aging-related …

Data processing and interpretation represent the most challenging and time‐consuming
steps in high‐throughput metabolomic experiments, regardless of the analytical platforms …

Type 2 diabetes mellitus (T2D) is a growing health problem, but little is known about its early
disease stages, its effects on biological processes or the transition to clinical T2D. To …

Recent advances in methods for enrichment and mass spectrometric analysis of intact
glycopeptides have produced large-scale glycoproteomics datasets, but interpreting these …

High-resolution mass spectrometry (MS) has become an important tool in the life sciences,
contributing to the diagnosis and understanding of human diseases, elucidating …

Top-down proteomics using mass spectrometry facilitates the identification of intact
proteoforms, that is, all molecular forms of proteins. Multiple past advances have lead to the …

Hydrolase enzymes, including proteases, are encoded by 2–3% of the genes in the human
genome and 14% of these enzymes are active drug targets. However, the activities and …

Many of the novel ideas that drive today's proteomic technologies are focused essentially on
experimental or data-processing workflows. The latter are implemented and published in a …

We present version 2 of the MSnbase R/Bioconductor package. MSnbase provides
infrastructure for the manipulation, processing, and visualization of mass spectrometry data …