Pathway-Informed Discovery and Targeted Proteomic Workflows Using Mass Spectrometry.

Recent advancements in mass spectrometry (MS) and data analysis software have enabled new strategies for biological discovery using proteomics. Proteomics has evolved from routine discovery and identification of proteins to integrated multi-omics projects relating specific proteins to their genes and metabolites. Using additional information, such as that contained in biological pathways, has enabled the use of targeted protein quantitation for monitoring fold changes in expression as well as biomarker discovery. Here we discuss a full proteomic workflow from discovery proteomics on a quadrupole Time-of-Flight (Q-TOF) MS to targeted proteomics using a triple quadrupole (QQQ) MS. A discovery proteomics workflow encompassing acquisition of data-dependent proteomics data on a Q-TOF and protein database searching will be described which uses the protein abundances from identified proteins for subsequent statistical analysis and pathway visualization. From the active pathways, a protein target list is created for use in a peptide-based QQQ assay. These peptides are used as surrogates for target protein quantitation. Peptide-based QQQ assays provide sensitivity and selectivity allowing rapid and robust analysis of large batches of samples. These quantitative results are then statistically compared and visualized on the original biological pathways with a more complete coverage of proteins in the studied pathways.

Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome.

The ability to reliably and reproducibly measure any protein of the human proteome in any tissue or cell type would be transformative for understanding systems-level properties as well as specific pathways in physiology and disease. Here, we describe the generation and verification of a compendium of highly specific assays that enable quantification of 99.7% of the 20,277 annotated human proteins by the widely accessible, sensitive, and robust targeted mass spectrometric method selected reaction monitoring, SRM. This human SRMAtlas provides definitive coordinates that conclusively identify the respective peptide in biological samples. We report data on 166,174 proteotypic peptides providing multiple, independent assays to quantify any human protein and numerous spliced variants, non-synonymous mutations, and post-translational modifications. The data are freely accessible as a resource at http://www.srmatlas.org/, and we demonstrate its utility by examining the network response to inhibition of cholesterol synthesis in liver cells and to docetaxel in prostate cancer lines.

State of the Human Proteome in 2014/2015 As Viewed through PeptideAtlas: Enhancing Accuracy and Coverage through the AtlasProphet.

The Human PeptideAtlas is a compendium of the highest quality peptide identifications from over 1000 shotgun mass spectrometry proteomics experiments collected from many different laboratories, all reanalyzed through a uniform processing pipeline. The latest 2015-03 build contains substantially more input data than past releases, is mapped to a recent version of our merged reference proteome, and uses improved informatics processing and the development of the AtlasProphet to provide the highest quality results. Within the set of ∼20,000 neXtProt primary entries, 14,070 (70%) are confidently detected in the latest build, 5% are ambiguous, 9% are redundant, leaving the total percentage of proteins for which there are no mapping detections at just 16% (3166), all derived from over 133 million peptide-spectrum matches identifying more than 1 million distinct peptides using AtlasProphet to characterize and classify the protein matches. Improved handling for detection and presentation of single amino-acid variants (SAAVs) reveals the detection of 5326 uniquely mapping SAAVs across 2794 proteins. With such a large amount of data, the control of false positives is a challenge. We present the methodology and results for maintaining rigorous quality along with a discussion of the implications of the remaining sources of errors in the build.

Multiple precursor ion scanning of gangliosides and sulfatides with a reversed-phase microfluidic chip and quadrupole time-of-flight mass spectrometry.

Precise profiling of polar lipids including gangliosides and sulfatides is a necessary step in understanding the diverse physiological role of these lipids. We have established an efficient method for the profiling of polar lipids using reversed-phase nano high-performance liquid chromatography microfluidic chip quadrupole time-of-flight mass spectrometry (nano-HPLC-chip Q-TOF/MS). A microfluidic chip design provides improved chromatographic performance, efficient separation, and stable nanospray while the advanced high-resolution mass spectrometer allowed for the identification of complex isobaric polar lipids such as NeuAc- and NeuGc-containing gangliosides. Lipid classes were identified based on the characteristic fragmentation product ions generated during data-dependent tandem mass spectrometry (MS/MS) experiments. Each class was monitored by a postprocessing precursor ion scan. Relatively simple quantitation and identification of intact ions was possible due to the reproducible retention times provided by the nano-HPLC chip. The method described in this paper was used to profile polar lipids from mouse brain, which was found to contain 17 gangliosides and 13 sulfatides. Types and linkages of the monosaccharides and their acetyl modifications were identified by low-energy collision-induced dissociation (CID) (40 V), and the type of sphingosine base was identified by higher energy CID (80 V). Accurate mass measurements and chromatography unveiled the degree of unsaturation and hydroxylation in the ceramide lipid tails.

An assessment of current bioinformatic solutions for analyzing LC-MS data acquired by selected reaction monitoring technology.

Selected reaction monitoring (SRM) is an accurate quantitative technique, typically used for small-molecule mass spectrometry (MS). SRM has emerged as an important technique for targeted and hypothesis-driven proteomic research, and is becoming the reference method for protein quantification in complex biological samples. SRM offers high selectivity, a lower limit of detection and improved reproducibility, compared to conventional shot-gun-based tandem MS (LC-MS/MS) methods. Unlike LC-MS/MS, which requires computationally intensive informatic postanalysis, SRM requires preacquisition bioinformatic analysis to determine proteotypic peptides and optimal transitions to uniquely identify and to accurately quantitate proteins of interest. Extensive arrays of bioinformatics software tools, both web-based and stand-alone, have been published to assist researchers to determine optimal peptides and transition sets. The transitions are oftentimes selected based on preferred precursor charge state, peptide molecular weight, hydrophobicity, fragmentation pattern at a given collision energy (CE), and instrumentation chosen. Validation of the selected transitions for each peptide is critical since peptide performance varies depending on the mass spectrometer used. In this review, we provide an overview of open source and commercial bioinformatic tools for analyzing LC-MS data acquired by SRM.

Label-free liquid chromatography-tandem mass spectrometry analysis with automated phosphopeptide enrichment reveals dynamic human milk protein phosphorylation during lactation.

Protein phosphorylation is a critical posttranslational modification that affects cell-cell signaling and protein function. However, quantifying the relative site-specific changes of phosphorylation occupancies remains a major issue. An online enrichment of phosphopeptides using titanium dioxide incorporated in a microchip liquid chromatography device was used to analyze trypsin-digested human milk proteins with mass spectrometry. The method was validated with standards and used to determine the dynamic behavior of protein phosphorylation in human milk from the first month of lactation. α-Casein, ß-casein, osteopontin, and chordin-like protein 2 phosphoproteins were shown to vary during this lactation time in an independent manner. In addition, changes in specific regions of these phosphoproteins were found to vary independently. Novel phosphorylation sites were discovered for chordin-like protein 2, α-lactalbumin, ß-1,4-galactosyl transferase, and poly-Ig (immunoglobulin) receptor. Coefficients of variation for the quantitation were comparable to those in other contemporary approaches using isotopically labeled peptides, with a median value of 11% for all phosphopeptide occupancies quantified.

Profile of native N-linked glycan structures from human serum using high performance liquid chromatography on a microfluidic chip and time-of-flight mass spectrometry.

Protein glycosylation involves the addition of monosaccharides in a stepwise process requiring no glycan template. Therefore, identifying the numerous glycoforms, including isomers, can help elucidate the biological function(s) of particular glycans. A method to assess the diversity of the N-linked oligosaccharides released from human serum without derivatization has been developed using on-line nanoLC and high resolution TOF MS. The N-linked oligosaccharides were analyzed with MALDI FT-ICR MS and microchip LC MS (HPLC-Chip/TOF MS). Two microfluidic chips were employed, the glycan chip (40 nL enrichment column, 43 x 0.075 mm(2) i.d. analytical column) and the high capacity chip (160 nL enrichment column, 140 x 0.075 mm(2) i.d. analytical column), both with graphitized carbon as the stationary phase. Both chips offered good sensitivity and reproducibility in separating a heterogeneous mixture of neutral and anionic oligosaccharides between injections. Increasing the length and volume of the enrichment and the analytical columns improved resolution of the peaks. Complex type N-linked oligosaccharides were the most abundant oligosaccharides in human serum accounting for approximately 96% of the total glycans identified, while hybrid and high mannose type oligosaccharides comprise the remaining approximately 4%.