A simple and efficient frit preparation method for one‐end tapered‐fused silica‐packed capillary columns in nano‐LC‐ESI MS

A novel frit preparation method for one‐end tapered‐fused silica‐packed capillary columns in nano‐LC‐ESI MS was developed. A hollow‐fused silica capillary column with a tapered tip as nano‐spray emitter was filled with 5 μm C₁₈ beads, and then a sintered frit about 0.25 mm in length was prepared at the tip by butane flame. A stainless steel protection tube with 0.5 mm id was used to control the length of the frit and to protect the packed C₁₈ beads behind the sintered frit during the sintering. C₁₈ sintered frits were evaluated by BSA tryptic digests with nano‐LC‐LTQ. The sintered frits did not produce post‐column band broadening due to very small volume (about 0.2 nL) and did not produce adsorption to sample. The sintered frit columns had good separation reproducibility and separation performance compared with self‐assembled particles frit columns and commercial columns.     

Post alignment clustering procedure for comparative quantitative proteomics LC-MS data

Comparative LC-MS is a powerful method for detailed quantitative comparison of complex protein mixtures. Dedicated software is required for detection, matching, and alignment of peaks in multiple LC-MS datasets. However, retention time shifts, saturation effects, limitations of experimental accuracy, and possible occurrence of split peaks make it difficult for software to perfectly match all chromatograms. We describe a procedure to assess the above problems and show that dataset quality can be enhanced with the aid of cluster analysis.     

Fully automatable two-dimensional reversed-phase capillary liquid chromatography with online tandem mass spectrometry for shotgun proteomics

Herein, we describe the development of a fully automatable technology that features online coupling of high‐pH RP separation with conventional low‐pH RP separation in a two‐dimensional capillary liquid chromatography (2‐D LC) system for shotgun proteomics analyses. The complete analysis comprises 13 separation cycles, each involving transfer of the eluate from the first‐dimension, high‐pH RP separation onto the second RP dimension for further separation. The solvent strength increases across the 13 fractions (cycles) to elute all peptides for further resolution on the second‐dimension, low‐pH RP separation, each under identical gradient‐elution conditions. The total run time per analysis is 52 h. In triplicate analyses of a lysate of mouse embryonic fibroblasts, we used this technology to identify 2431 non‐redundant proteins, of which 50% were observed in all three replicates. A comparison of RP‐RP 2‐D LC and strong cation exchange‐RP 2‐D LC analyses reveals that the two technologies identify primarily different peptides, thereby underscoring the differences in their separation chemistries.     

Advanced nanoscale separations and mass spectrometry for sensitive high-throughput proteomics

Recent developments in combined separations with mass spectrometry for sensitive and high-throughput proteomic analyses are reviewed herein. These developments primarily involve high-efficiency (separation peak capacities of ~10³) nanoscale liquid chromatography (flow rates extending down to approximately 20 nl/min at optimal liquid mobile-phase separation linear velocities through narrow packed capillaries) in combination with advanced mass spectrometry and in particular, high-sensitivity and high-resolution Fourier transform ion cyclotron resonance mass spectrometry. Such approaches enable analysis of low nanogram level proteomic samples (i.e., nanoscale proteomics) with individual protein identification sensitivity at the low zeptomole level. The resultant protein measurement dynamic range can approach 10⁶ for nanogram-sized proteomic samples, while more abundant proteins can be detected from subpicogram-sized (total) proteome samples. These qualities provide the foundation for proteomics studies of single or small populations of cells. The instrumental robustness required for automation and providing high-quality routine performance nanoscale proteomic analyses is also discussed.     

Instrumentation for advanced microseparations in pharmaceutical analysis and proteomics

Small-volume chromatographic columns are only able to generate narrow peaks when flow rates, injection volume and instrument components, such as detector, connecting tubing and fittings, are matched to the peak dispersion from the column. Criteria for the proper design of chromatographic instrumentation are therefore derived from a general model on total dispersion. The performance of such a system is then experimentally evaluated from applications run on narrow-bore, small-volume columns. In order to achieve flow rates that match the dimensions of such columns, a new concept for electronic flow control (EFC) is introduced. A theoretical optimization of column efficiency and throughput is discussed and the results verified with practical examples on short, narrow-bore columns packed with small, porous and superficially porous particles. For complex sample mixtures, the concept of peak capacity is introduced and applied to orthogonal separation principles in multiple chromatographic dimensions through column switching techniques.     

Improved 2D nano-LC/MS for proteomics applications: a comparative analysis using yeast proteome.

The most commonly used method for protein identification with two-dimensional (2D) online liquid chromatography-mass spectrometry (LC/MS) involves the elution of digest peptides from a strong cation exchange column by an injected salt step gradient of increasing salt concentration followed by reversed phase separation. However, in this approach ion exchange chromatography does not perform to its fullest extent, primarily because the injected volume of salt solution is not optimized to the SCX column. To improve the performance of strong cation exchange chromatography, we developed a new method for 2D online nano-LC/MS that replaces the injected salt step gradient with an optimized semicontinuous pumped salt gradient. The viability of this method is demonstrated in the results of a comparative analysis of a complex tryptic digest of the yeast proteome using the injected salt solution method and the semicontinuous pump salt method. The semicontinuous pump salt method compares favorably with the commonly used injection method and also with an offline 2D-LC method.     

Protein recovery and identification from the gulf killifish, Fundulus grandis: comparing snap-frozen and RNAlater® preserved tissues

Reliable proteomic analysis of biological tissues requires sampling approaches that preserve proteins as close to their in vivo state as possible. In the current study, the patterns of protein abundance in one‐dimensional (1‐D) gels were assessed for five tissues of the gulf killifish, Fundulus grandis, following snap‐freezing tissues in liquid nitrogen or immersion of fresh tissues in RNAlater^®. In liver and heart, the protein profiles in 1‐D gels were better preserved by snap‐freezing, while in gill, the 1‐D protein profile was better preserved by immersion in RNAlater^®. In skeletal muscle and brain, the two approaches yielded similar patterns of protein abundance. LC‐MS/MS analyses and database searching resulted in the identification of 17 proteins in liver and 12 proteins in gill. Identified proteins include enzymes of energy metabolism, structural proteins, and proteins serving other biological functions. These protein identifications for a species without a sequenced genome demonstrate the utility of F. grandis as a model organism for environmental proteomic studies in vertebrates.     

Quantitative protein determination for CYP induction via LC-MS/MS

The Cytochrome P450 (CYP) proteins are a family of membrane bound proteins that function as a major metabolizing enzyme in the human body. Quantification of CYP induction is critical in determining the disposition, safety and efficacy of drugs in humans. Described is a gel-free, high-throughput LC-MS approach to quantitate the CYP isoforms 1A2, 2B6, 3A4 and 3A5 by measuring isoform specific peptides released by enzymatic digestion of the hepatocyte incubations. The method uses synthetic stable isotope-labeled peptides as internal standards and allows both relative and absolute quantification to be performed from hepatic microsomal preparations. CYP protein determined by this LC-MS method correlated well with the mRNA and activity for induced levels of CYP1A2, CYP2B6 and CYP3A4. Interestingly, a small fold change was observed for the induction of 3A5 with phenobarbital. The results were reproducible with an average CV less then 10% for repeat analysis of the sample. This LC-MS method offers a robust assay for CYP protein quantitation for use in CYP induction assays.     

Proteomic analysis of the microenvironment of developing oocytes

We utilized a setup based on extensive pre-fractionation of proteolytic peptides and nanoflow reversed-phase LC-MS/MS to identify the (sub)proteome of human follicular fluid (FF). In this in-depth screen, 246 specific proteins were identified, the majority of which are involved in coagulation- and immune-response pathways. Our aim is to define a set of FF protein markers, which could predict oocyte quality.     

Application of proteomics for discovery of protein biomarkers.

Biomarkers of drug efficacy and toxicity are becoming a key need in the drug development process. Mass spectral-based proteomic technologies are ideally suited for the discovery of protein biomarkers in the absence of any prior knowledge of quantitative changes in protein levels. The success of any biomarker discovery effort will depend upon the quality of samples analysed, the ability to generate quantitative information on relative protein levels and the ability to readily interpret the data generated. This review will focus on the strengths and weaknesses of technologies currently utilised to address these issues.     

Proteomic analysis of the dorsal and ventral hippocampus of rats maintained on a high fat and refined sugar diet

The typical Western diet, rich in high saturated fat and refined sugar (HFS), has been shown to increase cognitive decline with aging and Alzheimer's disease, and to affect cognitive functions that are dependent on the hippocampus, including memory processes and reversal learning. To investigate neurophysiological changes underlying these impairments, we employed a proteomic approach to identify differentially expressed proteins in the rat dorsal and ventral hippocampus following maintenance on an HFS diet. Rats maintained on the HFS diet for 8 weeks were impaired on a novel object recognition task that assesses memory and on a Morris Water Maze task assessing reversal learning. Quantitative label‐free shotgun proteomic analysis was conducted on biological triplicates for each group. For the dorsal hippocampus, 59 proteins were upregulated and 36 downregulated in the HFS group compared to controls. Pathway ana‐lysis revealed changes to proteins involved in molecular transport and cellular and molecular signaling, and changes to signaling pathways including calcium signaling, citrate cycle, and oxidative phosphorylation. For the ventral hippocampus, 25 proteins were upregulated and 27 downregulated in HFS fed rats. Differentially expressed proteins were involved in cell‐to‐cell signaling and interaction, and cellular and molecular function. Changes to signaling pathways included protein ubiquitination, ubiquinone biosynthesis, oxidative phosphorylation, and mitochondrial dysfunction. This is the first shotgun proteomics study to examine protein changes in the hippocampus following long‐term consumption of a HFS diet, identifying changes to a large number of proteins including those involved in synaptic plasticity and energy metabolism. All MS data have been deposited in the ProteomeXchange with identifier PXD000028.     

PRISM: a data management system for high-throughput proteomics

Advanced proteomic research efforts involving areas such as systems biology or biomarker discovery are enabled by the use of high level informatics tools that allow the effective analysis of large quantities of differing types of data originating from various studies. Performing such analyses on a large scale is not feasible without a computational platform that performs data processing and management tasks. Such a platform must be able to provide high-throughput operation while having sufficient flexibility to accommodate evolving data analysis tools and methodologies. The Proteomics Research Information Storage and Management system (PRISM) provides a platform that serves the needs of the accurate mass and time tag approach developed at Pacific Northwest National Laboratory. PRISM incorporates a diverse set of analysis tools and allows a wide range of operations to be incorporated by using a state machine that is accessible to independent, distributed computational nodes. The system has scaled well as data volume has increased over several years, while allowing adaptability for incorporating new and improved data analysis tools for more effective proteomics research.     

Evaluation of protein expression in bovine bronchoalveolar fluid following challenge with Mannheimia haemolytica

Proteomics analysis of bovine bronchoalveolar fluid (BAF) following induction of pneumonia with Mannheimia haemolytica using nanoflow liquid chromatography coupled with tandem mass spectrometry (nanoLC-MS/MS) resulted in the identification of 88 unique proteins. Proteins detected in BAF included antimicrobial peptides (AMPs), complement factors, acute-phase proteins, protease inhibitors, and proteins involved in oxidation-reduction. Notwithstanding biological variation, differences in relative protein abundance, determined using normalized peptide counts, were detected for select proteins in BAF from genuinely infected versus sham-infected animals. To demonstrate the applicability of using normalized peptide counts to assess protein expression trends, LC-MS/MS data for the acute-phase protein haptoglobin (HPT) were compared with ELISA data, and statistical evaluation of the relationship between the data revealed a strong measure of association. Differences were detected between sham- and genuinely infected animals for haptoglobin, as well as the AMPs cathelicidin-1 and cathelicidin-4, and inter-α-trypsin inhibitor heavy chain-4, a fairly novel protein involved in the acute phase response. Though the small sample size limited the scope of the inferences, the results indicate the likely importance of AMPs and acute-phase proteins during respiratory infection, and provide additional information regarding potential mechanisms involved in the bovine mucosal barrier defense.     

The role of statistical power analysis in quantitative proteomics

Designing an experiment for quantitative proteomic analysis is not a trivial task. One of the key factors influencing the success of such studies is the number of biological replicates included in the analysis. This, along with the measured variation will determine the statistical power of the analysis. Presented is a simple yet powerful analysis to determine the appropriate sample size required for reliable and reproducible results, based on the total variation (technical and biological). This approach can also be applied retrospectively for the interpretation of results as it takes into account both significance (p value) and quantitative difference (fold change) of the results.     

Changes in liver protein abundance in inbred alcohol-preferring rats due to chronic alcohol exposure, as measured through a proteomics approach

This study compares the total liver proteome of inbred alcohol‐preferring line (iP) rats exposed to alcohol with iP rats without alcohol experience. Rat liver proteins were extracted using a three‐step procedure. Each of the three solutions solubilizes a different set of proteins. The extracted proteins were separated by 2‐DE. Scanned gels of two sample groups, alcohol‐exposed iP and alcohol‐naïve iP, were compared, revealing many protein spots with significantly higher or lower densities. These spots were cut from the gel, destained, and subjected to trypsin digestion and subsequent identification by LC‐MS/MS. Twenty‐four individual rats, 12 alcohol‐naïve, and 12 alcohol‐exposed, were used in this study. Two groups, each containing six naïve and six exposed animals, were created for statistical comparison. For the first group, 64 spots were observed to have statistically significant intensity differences upon alcohol exposure across all three extracts while 118 such spots were found in the second group. There were 113 unique proteins in both groups together. The majority of these proteins were enzymes. Significant changes are observed for three major metabolic pathways: glycolysis, gluconeogenesis, and fatty acid β‐oxidation. In addition, enzymes involved in protein synthesis and antioxidant activity show significant changes in abundance in response to alcohol exposure.     

DNA affects the composition of lipoplex protein corona: a proteomics approach

The distribution of drug delivery systems into the body is affected by plasma proteins adsorbed onto their surface. Furthermore, an exact understanding of the structure and morphology of drug carriers is fundamental to understand their role as gene delivery systems. In this work, the adsorption of human plasma proteins bound to cationic liposomes and to their relative DNA lipoplexes was compared. A shotgun proteomics approach based on HPLC coupled to high resolution MS was used for an efficient identification of proteins adsorbed onto liposome and lipoplex surfaces. The distinct pattern of proteins adsorbed helps to better understand the DNA compaction process. The experimental evidence leads us to hypothesize that polyanionic DNA is associated to the lipoplex surface and can interact with basic plasma proteins. Such a finding is in agreement with recent results showing that lipoplexes are multilamellar DNA/lipid domains partially decorated with DNA at their surface. Proteomics experiments showed that the lipoplex corona is rich of biologically relevant proteins such as fibronectin, histones and complement proteins. Our results provide novel insights to understand how lipoplexes activate the immune system and why they are rapidly cleared from the blood stream. The differences in the protein adsorption data detected in the presented experiments could be the basis for the establishment of a correlation between protein adsorption pattern and in vivo fate of intravenously administered nanoparticles and will require some consideration in the future.     

Sequence similarity-driven proteomics in organisms with unknown genomes by LC-MS/MS and automated de novo sequencing

LC-MS/MS analysis on a linear ion trap LTQ mass spectrometer, combined with data processing, stringent, and sequence-similarity database searching tools, was employed in a layered manner to identify proteins in organisms with unsequenced genomes. Highly specific stringent searches (MASCOT) were applied as a first layer screen to identify either known (i.e. present in a database) proteins, or unknown proteins sharing identical peptides with related database sequences. Once the confidently matched spectra were removed, the remainder was filtered against a nonannotated library of background spectra that cleaned up the dataset from spectra of common protein and chemical contaminants. The rectified spectral dataset was further subjected to rapid batch de novo interpretation by PepNovo software, followed by the MS BLAST sequence-similarity search that used multiple redundant and partially accurate candidate peptide sequences. Importantly, a single dataset was acquired at the uncompromised sensitivity with no need of manual selection of MS/MS spectra for subsequent de novo interpretation. This approach enabled a completely automated identification of novel proteins that were, otherwise, missed by conventional database searches.     

Differential metabolic response of cultured rice (Oryza sativa) cells exposed to high‐ and low‐temperature stress

Global mean temperatures are expected to rise by 2–4.5°C by 2100, accompanied by an increase in frequency and amplitude of extreme temperature events. Greater climatic extremes and an expanded range of cultivation will expose rice to increasing stress in the future. Understanding gene expression in disparate thermal regimes is important for the engineering of cultivars with tolerance to nonoptimal temperatures. Our study investigated the proteomic responses of rice cell suspension cultures to sudden temperature changes. Cell cultures grown at 28°C were subjected to 3‐day exposure to 12 or 20°C for low‐temperature stress, and 36 or 44°C for high‐temperature stress. Quantitative label‐free shotgun proteomic analysis was performed on biological triplicates of each treatment. Over 1900 proteins were expressed in one or more temperature treatments, and, of these, more than 850 were found to be responsive to either of the temperature extremes. These temperature‐responsive proteins included more than 300 proteins which were uniquely expressed at either 12 or 44°C. Our study also identified 40 novel stress–response proteins and observed that switching between the classical and the alternative pathways of sucrose metabolism occurs in response to extremes of temperature.     

LC‐MS/MS‐based serum proteomics for identification of candidate biomarkers for hepatocellular carcinoma

Associating changes in protein levels with the onset of cancer has been widely investigated to identify clinically relevant diagnostic biomarkers. In the present study, we analyzed sera from 205 patients recruited in the United States and Egypt for biomarker discovery using label‐free proteomic analysis by LC‐MS/MS. We performed untargeted proteomic analysis of sera to identify candidate proteins with statistically significant differences between hepatocellular carcinoma (HCC) and patients with liver cirrhosis. We further evaluated the significance of 101 proteins in sera from the same 205 patients through targeted quantitation by MRM on a triple quadrupole mass spectrometer. This led to the identification of 21 candidate protein biomarkers that were significantly altered in both the United States and Egyptian cohorts. Among the 21 candidates, ten were previously reported as HCC‐associated proteins (eight exhibiting consistent trends with our observation), whereas 11 are new candidates discovered by this study. Pathway analysis based on the significant proteins reveals upregulation of the complement and coagulation cascades pathway and downregulation of the antigen processing and presentation pathway in HCC cases versus patients with liver cirrhosis. The results of this study demonstrate the power of combining untargeted and targeted quantitation methods for a comprehensive serum proteomic analysis, to evaluate changes in protein levels and discover novel diagnostic biomarkers. All MS data have been deposited in the ProteomeXchange with identifier PXD001171 ( http://proteomecentral.proteomexchange.org/dataset/PXD001171 ).