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Highlights d Link between SARS-COV-2 mutation biases, HLA alleles, and immune escape d Dominant C/U SARS-CoV-2 mutations diversify the CD8 + T cell epitope repertoire d Mutation biases modulate epitope presentation in an HLAsupertype-dependent manner d Preferential loss of epitopes in B7 HLA supertype due to prevalent loss of proline Authors

Optimizing the quality of proteomics data collected from a mass spectrometer (MS) requires careful selection of acquisition parameters and proper assessment of instrument performance. Software tools capable of extracting a broad set of information from raw files, including meta, scan, quantification, and identification data, are needed to provide guidance for MS system management. In this work, direct extraction and utilization of these data is demonstrated using RawTools, a standalone tool for extracting meta and scan data directly from raw MS files generated on Thermo Orbitrap instruments. RawTools generates summarized and detailed plain text outputs after parsing individual raw files, including scan rates and durations, duty cycle characteristics, precursor and reporter ion quantification, and chromatography performance. RawTools also contains a diagnostic module that includes an optional “preview” database search for facilitating informed decision-making related to optimization of MS performance based on a variety of metrics. RawTools has been developed in C# and utilizes the Thermo RawFileReader library and thus can process raw MS files with high speed and high efficiency on all major operating systems (Windows, MacOS, Linux). To demonstrate the utility of RawTools, the extraction of meta and scan data from both individual and large collections of raw MS files was carried out to identify problematic characteristics of instrument performance. Taken together, the combined rich feature-set of RawTools with the capability for interrogation of MS and experiment performance makes this software a valuable tool for proteomics researchers.

A free solution method was developed for evaluating the specific binding affinity and stoichiometry of small molecules with oligo DNA subsequent to cation-induced G-quadruplex formation. A nonlinear curve fitting equation capable of extracting specific binding constants in the presence of nonspecific binding without the need for reference compounds was proposed and tested. Electrospray ionization mass spectrometry was first used to rapidly screen the small molecule candidates; then, the stoichiometry and affinity constants of the native state binding pair in solution were obtained with capillary electrophoresis frontal analysis (CE-FA). The B cell lymphoma 2 (Bcl-2) oncogene is directly responsible for the expression of Bcl-2 protein, which plays a significant role in cell apoptosis. The binding of a G-quadruplex formed in the promoter region of the Bcl-2 oncogene with a small molecule could stabilize the quadruplex structure and potentially regulate the transcription of Bcl-2. Four natural product drug candidates were tested for their ability to bind the Bcl-2 promoter G-quadruplex. Using this reference-free method based on CE-FA data, jatrorrhizine and palmatine were found to bind specifically to the Bcl-2 promoter G-quadruplex with stoichiometries of 4:1 and 3:1, respectively.