Automated 2D peptide separation on a 1D nano-LC-MS system.

Given the complexity of the mammalian proteome, high-resolution separation technologies are required to achieve comprehensive proteome coverage and to enhance the detection of low-abundance proteins. Among several technologies, Multidimensional Protein Identification Technology (MudPIT) enables the on-line separation of highly complex peptide mixtures directly coupled with mass spectrometry-based identification. Here, we present a variation of the traditional MudPIT protocol, combining highly sensitive chromatography using a nanoflow liquid chromatography system (nano-LC) with a two-dimensional precolumn in a vented column setup. When compared to the traditional MudPIT approach, this nanoflow variation demonstrated better first-phase separation leading to more proteins being characterized while using rather simple instrumentation and a protocol that requires less time and very little technical expertise to perform.

Towards liquid chromatography time-scale peptide sequencing and characterization of post-translational modifications in the negative-ion mode using electron detachment dissociation tandem mass spectrometry.

Electron detachment dissociation (EDD) of peptide poly-anions is gentle towards post-translational modifications (PTMs) and produces predictable and interpretable fragment ion types (a., x ions). However, EDD is considered an inefficient fragmentation technique and has not yet been implemented in large-scale peptide characterization strategies. We successfully increased the EDD fragmentation efficiency (up to 9%), and demonstrate for the first time the utility of EDD-MS/MS in liquid chromatography time-scale experiments. Peptides and phosphopeptides were analyzed in both positive- and negative-ion mode using electron capture/transfer dissociation (ECD/ETD) and EDD in comparison. Using approximately 1 pmol of a BSA tryptic digest, LC-EDD-MS/MS sequenced 14 peptides (27% aa sequence coverage) and LC-ECD-MS/MS sequenced 19 peptides (39% aa sequence coverage). Seven peptides (18% aa sequence coverage) were sequenced by both EDD and ECD. The relative small overlap of identified BSA peptides demonstrates the complementarity of the two dissociation modes. Phosphopeptide mixtures from three trypsin-digested phosphoproteins were subjected to LC-EDD-MS/MS resulting in the identification of five phospho-peptides. Of those, one was not found in a previous study using a similar sample and LC-ETD-MS/MS in the positive-ion mode. In this study, the ECD fragmentation efficiency (15.7% av.) was superior to the EDD fragmentation efficiency (3.6% av.). However, given the increase in amino acid sequence coverage and extended PTM characterization the new regime of EDD in combination with other ion-electron fragmentation techniques in the positive-ion mode is a step towards a more comprehensive strategy of analysis in proteome research.

Isocratic solid phase extraction-liquid chromatography (SPE-LC) interfaced to high-performance tandem mass spectrometry for rapid protein identification.

Reversed-phase liquid chromatography interfaced to electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) allows analysis of very complex peptide mixtures at great sensitivity, but it can be very time-consuming, typically using 60 min, or more, per sample analysis. We recently introduced the isocratic solid phase extraction-liquid chromatography (SPE-LC) technology for rapid separation (~8 min) of simple peptide samples. We now extend these studies to demonstrate the potential of SPE-LC separation in combination with a hybrid linear ion trap-Orbitrap tandem mass spectrometer for efficient analysis of peptide samples in proteomics research. The system performance of SPE-LC-MS/MS was evaluated in terms of sensitivity and efficiency for the analysis of tryptic peptide digests obtained from samples consisting of up to 12 standard proteins. The practical utility of the analytical setup was demonstrated by the analysis of <15 microg depleted human serum proteome by a combination of SDS-PAGE and SPE-LC-MS/MS. A total of 88 unique gene products spanning 3 orders of magnitude in serum protein concentration were identified using stringent database search criteria.