Interpreting raw biological mass spectra using isotopic mass‐to‐charge ratio and envelope fingerprinting

Abstract

Soft ionization, high-resolution mass spectrometry is widely used to characterize large biological molecules, such as proteins. Deconvolution ('deisotoping') of isotopic envelopes (iEs) in biological mass spectra into monoisotopic or average masses is challenging due to low signals and heavily overlapped iEs, resulting in many wrong interpretations. Isotopic envelopes (iEs) are directly used without deisotoping to identify biological molecules. An algorithm, isotopic mass-to-charge ratio (m/z) and envelope fingerprinting (iMEF), was implemented in the ProteinGoggle search engine for top-down intact protein database searching. iMEF combines isotopic m/z fingerprinting (iMF) and isotopic envelop fingerprinting (iEF), where 'Isotopic mass-to-charge ratio' means the m/z value of the most abundant isotopic peak within the iE of a precursor or product ion. iMF is used to 'fish' precursor or product ion candidates from the database, which is pre-built and contains all iE information (precursor and product ions) of all proteoforms of the studied system. iEF identifies matching precursor or product ions. A protein is finally identified with user-specified total number of matching product ions and post-translational modification scores. The working principles of iMEF and ProteinGoggle, and the definition of a set of related parameters and scoring metrics, are illustrated with high-resolution tandem mass spectrometric analysis of a mixture of ubiquitin and the HUMAN histone H4 proteoforms. Ubiquitin was confidently identified from its CID, ETD, and HCD spectra with 57, 91, and 66 matching product ions, respectively; 125 proteoforms were confidently found from the H4 dataset. The locations of PTMs in 54 and 6 isoforms were partially and fully identified. Database search with iMEF bypasses 'deisotoping' avoiding associated errors, and also provides full quality control of matching precursor and product ions and finally protein IDs. Overlapped iEs of different product ions could also be confidently unwrapped in situ. Improvement and addition of more functionalities and utilities of ProteinGoggle are underway.