De Novo Sequencing of Peptides from High‐Resolution Bottom‐Up Tandem Mass Spectra using Top‐Down Intended Methods
peer-reviewed · PROTEOMICS · 2017
| Date | 2017-12-01 |
| Type | peer-reviewed |
| Venue | PROTEOMICS |
| Publisher | Wiley |
| Contribution | algorithm |
| DOI | 10.1002/pmic.201600321 |
| Citations (OpenAlex) | 12 |
Abstract
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.
Methods and tools
- T-Bruijn graph top-down de novo sequencing: De novo sequencing from TOP-DOWN spectra, where the whole protein is fragmented rather than tryptic peptides: derives sequence tags and assembles them through a T-Bruijn graph, evaluated on carbonic anhydrase 2 and an alemtuzumab Fab.