Despite high-resolution mass spectrometers are becoming accessible for more and more laboratories, tandem (MS/MS) mass spectra are still often collected at a low resolution. And even if acquired at a high resolution, software tools used for their processing do not tend to benefit from that in full, and an ability to specify a relative mass tolerance in this case often remains the only feature the respective algorithms take advantage of. We argue that a more efficient way to analyze high-resolution MS/MS spectra should be with methods more explicitly accounting for the precision level, and sustain this claim through demonstrating that a de novo sequencing framework originally developed for (high-resolution) top-down MS/MS data is perfectly suitable for processing high-resolution bottom-up datasets, even though a top-down like deconvolution performed as the first step will leave in many spectra at most a few peaks.

Additional Metadata
Keywords bottom-up proteomics, de novo sequencing, high-resolution mass spectrometry
Persistent URL dx.doi.org/10.1002/pmic.201600321, hdl.handle.net/1765/103591
Journal Proteomics
Citation
Vyatkina, K, Dekker, L.J.M, Wu, S, van Duijn, M.M, Liu, X, Tolić, N, … Paša-Tolić, L. (2017). De Novo Sequencing of Peptides from High-Resolution Bottom-Up Tandem Mass Spectra using Top-Down Intended Methods. Proteomics, 17(23-24). doi:10.1002/pmic.201600321