Poor repeatability of peak areas is a problem frequently encountered in peptide analysis with nanoLiquid Chromatography coupled on-line with Mass Spectrometry (nanoLC-MS). As a result, quantitative analysis will be seriously hampered unless the observed variability can be corrected in some way. Currently, labeling techniques or addition of internal standards are often applied for this purpose. However, these procedures are elaborate and error-prone and may render complex samples even more complex. Moreover, whenever poor repeatability results from variable recovery, not just quantification, but also sensitivity is affected. We have studied the parameters influencing the repeatability of chromatographic peak areas for a model set of proteolytic peptides (i.e., a cytochrome c tryptic digest) in nanoLC-MS analysis. It is demonstrated that repeatability issues are mainly due to poor recovery of peptides from the sample vial. Problems are largely resolved by addition of an organic modifier to the sample vial to improve solubility of the peptides, but care needs to be taken not to lose peptides due to reduced affinity for reversed-phase materials. Good results are obtained when applying dimethylsulfoxide (DMSO) for this purpose. When applying DMSO, repeatability increases, and the limit of detection (LOD) decreases. For the most hydrophobic peptides, a gain in LOD of at least an order of magnitude is obtained. In an aqueous sample containing 0.1% formic acid (FA), it is possible to detect 100-200 fmol of peptide, whereas +/-10 fmol can be detected in a sample containing 5% FA and 25% DMSO (10 microL injections).
Tryptic digestion followed by identification using mass spectrometry is an important step in many proteomic studies. Here, we describe the preparation of immobilized, acetylated trypsin for enhanced digestion efficacy in integrated protein analysis platforms. Complete digestion of cytochrome c was obtained with two types of modified-trypsin beads with a contact time of only 4 s, while corresponding unmodified-trypsin beads gave only incomplete digestion. The digestion rate of myoglobin, a protein known to be rather resistant to proteolysis, was not altered by acetylating trypsin and required a buffer containing 35% acetonitrile to obtain complete digestion. The use of acetylated-trypsin beads led to fewer interfering tryptic autolysis products, indicating an increased stability of this modified enzyme. Importantly, the modification did not affect trypsin's substrate specificity, as the peptide map of myoglobin was not altered upon acetylation of immobilized trypsin. Kinetic digestion experiments in solution with low-molecular-weight substrates and cytochrome c confirmed the increased catalytic efficiency (lower K(M) and higher k(cat)) and increased resistance to autolysis of trypsin upon acetylation. Enhancement of catalytic efficiency was correlated with the number of acetylations per molecule. The favorable properties of the new chemically modified trypsin reactor should make it a valuable tool in automated protein analysis systems.
In recent years, proteomics has been a subject of intense research. The complexity of proteomics samples has fostered technological developments. One of these addresses the need for more efficient and faster separations. Monolithic columns prepared from organic and silica monomers offer very efficient separations at low back-pressure. Silica-based monoliths have small-sized skeletons and a bimodal pore size distribution with microm-sized throughpores and nm-sized mesopores. This gives silica-based monoliths favourable properties for high-efficiency, fast separations, like a low-pressure drop across the column, fast mass transfer kinetics and a high binding capacity.
LC-MS/MS is the most commonly used technique for the identification and characterization of proteins. The efficiency of the electrospray process is a critical factor in LC-MS/MS. Despite the benefits associated with very low flow rates for the ionization efficiency, most LC-MS/MS platforms are operated at relatively high flow rates. The purpose of this work was to develop a nano LC system operable at a flow rate of 20 nL/min, applicable for routine analysis in proteomics laboratories. Peptide separation was performed with an analytical column packed with 2 μm porous chromatographic beads, a length of 25 cm and an inner diameter (i.d.) of 25 μm. Practical usability, reproducibility, and overall performance of the system were evaluated with a tryptic peptide mixture generated from HeLa cells. Using 100 ng of sample, we identified on average 3721 protein groups based on 25,699 peptides. We demonstrate that the number of peptides identified with this system increases with decreasing flow rates. Probing the sensitivity of the set-up we analyzed only 10 ng of the sample, identifying an average number of 2042 protein groups based on 11 424 peptides. All MS data have been deposited in the ProteomeXchange with identifier PXD000396 (http://proteomecentral.proteomexchange.org/dataset/PXD000396).
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