Protein structural and functional studies rely on complete qualitative and quantitative information on protein species (proteoforms); thus, it is important to quantify differentially expressed proteins at their molecular level. Here we report our development of universal pseudoisobaric dimethyl labeling (pIDL) of amino groups at both the N-terminal and lysine residues for relative quantitation of intact proteins. Initial proof-of-principle study was conducted on standard protein myoglobin and hepatocellular proteomes (HepG2 vs LO2). The amino groups from both the N-terminal and lysine were dimethylated with HXHO (X = (13)C or C) and NaBY3CN (Y = H or D). At the standard protein level, labeling efficiency, effect of product ion size, and mass resolution on quantitation accuracy were explored; and a good linear quantitation dynamic range up to 50-fold was obtained. For the hepatocellular proteome samples, 33 proteins were quantified with RSD ≤ 10% from one-dimensional reversed phase liquid chromatography-tandem mass spectrometry (RPLC-MS/MS) analysis of the 1:1 mixed samples. The method in this study can be extended to quantitation of other intact proteome systems. The universal "one-pot" dimethyl labeling of all the amino groups in a protein without the need of preblocking of those on the lysine residues is made possible by protein identification and quantitation analysis using ProteinGoggle 2.0 with customized databases of both precursor and product ions containing heavy isotopes.
It has long been an analytical challenge to accurately and efficiently resolve extremely dense overlapping isotopic envelopes (OIEs) in protein tandem mass spectra to confidently identify proteins. Here, we report a computationally efficient method, called OIE_CARE, to resolve OIEs by calculating the relative deviation between the ideal and observed experimental abundance. In the OIE_CARE method, the ideal experimental abundance of a particular overlapping isotopic peak (OIP) is first calculated for all the OIEs sharing this OIP. The relative deviation (RD) of the overall observed experimental abundance of this OIP relative to the summed ideal value is then calculated. The final individual abundance of the OIP for each OIE is the individual ideal experimental abundance multiplied by 1 + RD. Initial studies were performed using higher-energy collisional dissociation tandem mass spectra on myoglobin (with direct infusion) and the intact E. coli proteome (with liquid chromatographic separation). Comprehensive data at the protein and proteome levels, high confidence and good reproducibility were achieved. The resolving method reported here can, in principle, be extended to resolve any envelope-type overlapping data for which the corresponding theoretical reference values are available.
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