Targeted Strategy to Analyze Antiepileptic Drugs in Human Serum by LC-MS/MS and LC-Ion Mobility-MS.

Routine small-molecule analysis is challenging owing to the need for high selectivity and/or low limits of quantification. This work reports a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to quantify 14 antiepileptic drugs (AEDs) in human serum. For the optimized LC-MS/MS method described herein, we applied the guidelines outlined in the Clinical and Laboratory Standards Institute (CLSI) LC-MS C62-A document and the U.S. Food and Drug Administration (FDA) Bioanalytical Method Validation Guidance for Industry to evaluate the quality of the assay. In these studies, AED linearity, analyte recovery, matrix effects, precision, and accuracy were assessed. Using liquid chromatography-drift tube ion mobility-mass spectrometry (LC-DTIM-MS), a qualitative method was also used to increase confidence in AED identification using accurate mass and collision cross section (CCS) measurements. The LC-DTIM-MS method was also used to assess the ability of drift tube CCS measurements to aid in the separation and identification of AED structural isomers and other AEDs. These data show that another dimension of information, namely CCS measurements, provides an orthogonal dimension of structural information needed for AED analysis. Multiplexed AED measurements using LC-MS/MS and LC-DTIM-MS have the potential to enable better optimization of dosing owing to the high precision capabilities available in these types of analytical studies. Taken together, these data also show the ability to increase confidence in small-molecule identification and quantification using these analytical technologies.

An Integrated, High-Throughput Strategy for Multiomic Systems Level Analysis.

Proteomics, metabolomics, and transcriptomics generate comprehensive data sets, and current biocomputational capabilities allow their efficient integration for systems biology analysis. Published multiomics studies cover methodological advances as well as applications to biological questions. However, few studies have focused on the development of a high-throughput, unified sample preparation approach to complement high-throughput omic analytics. This report details the automation, benchmarking, and application of a strategy for transcriptomic, proteomic, and metabolomic analyses from a common sample. The approach, sample preparation for multi-omics technologies (SPOT), provides equivalent performance to typical individual omic preparation methods but greatly enhances throughput and minimizes the resources required for multiomic experiments. SPOT was applied to a multiomics time course experiment for zinc-treated HL-60 cells. The data reveal Zn effects on NRF2 antioxidant and NFkappaB signaling. High-throughput approaches such as these are critical for the acquisition of temporally resolved, multicondition, large multiomic data sets such as those necessary to assess complex clinical and biological concerns. Ultimately, this type of approach will provide an expanded understanding of challenging scientific questions across many fields.

Multiplexed Analysis of Peptide Functionality Using Lanthanide-based Structural Shift Reagents.

Functionally selective lanthanide-based ion mobility shift reagents are presented as a method to elucidate protein or peptide structural information as well as relative quantitation of protein expression profiles. Sequence information and site localization of primary amines (n-terminus and lysine), phosphorylation sites, and cysteine residues can be obtained in a data dependent manner using ion mobility-mass spectrometry (IM-MS). The high mass of the incorporated lanthanide ensures a significant shift of where the signal occurs in IM-MS conformation space. Peptide sequence information provided by the use of IM-MS shift reagents allows for both a more confident identification of peptides from complex mixtures and site localization following tandem MS experiments. Stable isotopes of the lanthanide series may also be used as relative quantitation labels since several lanthanides can be utilized in differential sample analyses.

Identification of phosphorylation sites within the signaling adaptor APPL1 by mass spectrometry.

APPL1 is a membrane-associated adaptor protein implicated in various cellular processes, including apoptosis, proliferation, and survival. Although there is increasing interest in the biological roles as well as the protein and membrane interactions of APPL1, a comprehensive phosphorylation profile has not been generated. In this study, we use mass spectrometry (MS) to identify 13 phosphorylated residues within APPL1. By using multiple proteases (trypsin, chymotrypsin, and Glu C) and replicate experiments of linear ion trap (LTQ) MS and LTQ-Orbitrap-MS, a combined sequence coverage of 99.6% is achieved. Four of the identified sites are located in important functional domains, suggesting a potential role in regulating APPL1. One of these sites is within the BAR domain, two cluster near the edge of the PH domain, and one is located within the PTB domain. These phosphorylation sites may control APPL1 function by regulating the ability of APPL1 domains to interact with other proteins and membranes.

Labeling strategies in mass spectrometry-based protein quantitation.

Mass spectrometry-based techniques for relative and absolute protein quantitation have advanced greatly over the past decade. New measurement strategies and improvements to existing methodologies have expanded the utility of mass spectrometry-based characterization of protein expression profiles, in particular by targeting a diverse array of chemical functionality (e.g. post-translational modifications, specific amino acid residues, etc.) by selective stable isotope incorporation. This article focuses on current trends in stable isotope labeling for protein quantitation using enzymatic, metabolic, and chemical derivatization techniques. Furthermore, new advances in phosphoproteomic labeling and lanthanide-based labeling methods are described.