Electrospray ionization mass spectrometry (ESI-MS) has proven to be an extremely powerful tool for studying biomolecular structures and noncovalent interactions. Here we report a method using a fully automated, chip-based nanoESI-MS system to determine the dissociation constants (Kd) for the complexes of two different proteins with their ligands. The automated nanoelectrospray system, consisting of the NanoMate and ESI chip, serves functionally as a combination of autosampler and nanoelectrospray ionization source. This system provides all the advantages of conventional nanoelectrospray plus automated, high-throughput analyses without carryover. The automated nanoESI system was used to investigate quantitative noncovalent interactions between ribonuclease A (RNase A) and cytidylic acid ligands (2'-CMP, CTP), a well-characterized model protein-ligand complex, and between an inactive endocellulase mutant (Thermobifida fusca Cel6A D117Acd) and four oligosaccharide ligands (cellotriose, cellotetraose, cellopentaose, cellohexaose). Both titration and competitive binding approaches were performed prior to automated nanoESI-MS analysis with a Q-TOF mass spectrometer. Dissociation constants for each complex were calculated from the sum of ion peak areas of free and complexed proteins during the titration and competition experiments. The measured Kd values for the RNase A-CMP and Cel6A D117Acd-G3 complexes were found to be in excellent agreement with the available published values obtained by standard spectroscopic titration techniques. To our knowledge, this is the first report of using an ESI-MS approach to study the interactions between a cellulase and oligosaccharides. The results provide new insights for understanding the nature of cellulase-cellulose interactions.

A rapid method is presented for determining the location of double bonds in polyunsaturated fatty acid methyl esters (FAME) using an ion-trap mass spectrometer. The mass spectrum of the chemical ionization reagent acetonitrile in an ion trap includes a m/z 54 ion, identified previously as 1-methyleneimino-1-ethenylium ion. We show that it reacts with double bonds of polyunsaturated FAME to yield a series of covalent product ions all appearing at (M + 54)+. Collisional dissociation of these ions yields diagnostic fragments, permitting unambiguous localization of double bonds. For methylene-interrupted and conjugated FAME, one of these fragments results from loss of the hydrocarbon end of the chain, while the other involves loss of the methyl ester. Major diagnostic-fragment ions for monoene and diene FAME occur as a result of cleavage adjacent to either allylic sites or double bonds in the original analyte and appear at one mass unit above the mass expected for homolytic cleavage. Fragmentation of polyene FAME yields major diagnostic ions resulting from cleavage between double bonds that appear one mass unit lower. The method is shown to produce highly characteristic spectra for FAME with 1 to 6 double bonds. Identification of double-bond position in highly unsaturated fatty acids is demonstrated in a mixture of unknown polyunsaturated FAME from an extract of cultured Y79 human retinoblastoma cells.

We report a method using a fully automated chip-based nanoelectrospray system for two-dimensional (2-D) gel sample analyses with mass spectrometric detection. The automated nanoelectrospray system, consisting of the NanoMate and electrospray ionization (ESI) chip, serves as both an autosampler and nanoESI source. This infusion system aspirates samples from a 96-well plate using disposable pipette tips and then delivers these samples sequentially to an ESI chip. This chip is a fully integrated monolithic device consisting of a 10x10 array of nozzles. The automated nanoelectrospray system is easily controlled through software, permitting the user to select the number of samples to be analyzed, the volume of sample to aspirate, the spray voltage, and analysis time. The system offers all the advantages of conventional nanoelectrospray plus automated, high-throughput analyses without analyte carryover. The system was used for a protein identification study of 2-D gel spots of both Escherichia coli and yeast crude cell extracts. The identification of 50 spots from E. coli crude cell extract and 27 spots from yeast extract is presented, demonstrating the powerful combination of the automated nanoESI system, the Thermo Finnigan LCQ Deca ion-trap mass spectrometer, and SEQUEST search software. In addition, the effects of silver staining and colloidal Coomassie blue staining of 2-D gel spots on the detection sensitivity and protein sequence coverage are compared and discussed. Furthermore, the comparison results using the multiwell microscale preparation kit versus manual extraction for in-gel samples are presented.

A novel approach to parallel liquid chromatography/ tandem mass spectrometry (LC/MS/MS) analyses for pharmacokinetic assays and for similar quantitative applications is presented. Modest modifications render a conventional LC/MS system capable of analyzing samples in parallel. These modifications involve the simple incorporation of three valves and four LC columns into a conventional system composed of one binary LC pumping system, one autosampler, and one mass spectrometer. An increase in sample throughput is achieved by staggering injections onto the four columns, allowing the mass spectrometer to continuously analyze the chromatographic window of interest Using this approach, the optimized run time is slightly greater than the sum of the widths of the desired peaks. This parallel chromatography unit can operate under both gradient and isocratic LC conditions. To demonstrate the utility of the system, atorvastatin, five of its metabolites, and their deuterated internal standards (IS) were analyzed using gradient elution chromatography conditions. The results from a prestudy assay evaluation (PSAE) tray of standards and quality control (QC) samples from extracted spiked human plasma are presented. The relative standard deviation and the accuracy of the QC samples did not exceed 8.1% and 9.6%, respectively, which is well within the acceptance criteria of the pharmaceutical industry. For this particular analysis, the parallel chromatography system decreased the overall run time from 4.5 to 1.65 min and, therefore, increased the overall throughput by a factor of 2.7 in comparison to a conventional LC/MS/MS analytical method.

An automated chip-based infusion nanoelectrospray ionization (nanoESI) platform was used to demonstrate reproducible quantitation of drug molecules from biological matrices. Three sample preparation strategies were explored including protein precipitation of plasma with acetonitrile, de-salting of the plasma, and a combination of protein precipitation with subsequent de-salting of the dried and reconstituted extract. The best results were obtained when fortified human plasma samples containing midazolam were precipitated with acetonitrile containing alprazolam as the internal standard (IS). The supernatant was concentrated to dryness, reconstituted in aqueous acid, and de-salted by automated reversed-phase solid-phase extraction (SPE) prior to infusion nanoESI-MS/MS. Analyses employed a triple quadrupole mass spectrometer operated in selected reaction monitoring (SRM) mode. Each sample was infused for approximately 10 s and the resulting ion current profiles were integrated. Area ratios were used for regression analysis of standard samples (1.5-500 ng/mL). Quality control samples (3, 250, and 400 ng/mL) in five replicates from three different analysis days demonstrated intra-assay precision (< or =16%), inter-assay precision (< or =5%), and overall accuracy (+/-9% deviation). Infusion reproducibility of the assay was established by analyzing extracts after storage for 24 h at ambient temperature. Control plasma samples from six different sources probed the potential utility of this technique for the analysis of clinical samples. At the lower limit of quantitation (LLQ), variability and mean overall accuracy were < or =13% CV and +/-3% deviation, respectively, while at the upper limit of quantitation (ULQ) variability and mean overall accuracy were < or =9% CV and +/-9% deviation, respectively. Inter-chip variability was established by determining standard sample extracts across five different chips (< or =12% CV). Throughput for the assay was 55 s per sample, although this time may be shortened to 40 s per sample with recent improvements in the automated nanoESI system. No contamination or carryover was observed using this promising automated nanoESI-MS/MS platform.

Caco-2 cells offer a means to rapidly screen permeability of drug candidates, allowing pharmaceutical companies to eliminate candidates unable to cross the intestinal barrier early in the discovery process. This screening process is typically performed by conventional liquid chromatography/tandem mass spectrometry (LC/MS/MS), which can require time-consuming method development. An alternative to LC/MS/MS, automated nanoelectrospray tandem mass spectrometry (nanoESI-MS/MS), is introduced. This novel approach requires an off-line ZipTip desalting step followed by automated nanoESI-MS/MS, using the NanoMate 100 and ESI Chip. In addition to reduced method development time, automated nanoESI-MS/MS also offers no carry-over between samples, low sample consumption, and ease-of-use as compared with conventional pulled-capillary nanoelectrospray. Furthermore, the infusion system described has the potential to be high-throughput. A comparison of Caco-2 samples analyzed both by LC/MS/MS and by automated nanoESI-MS/MS is presented. The permeability and recovery data of the two compounds analyzed in this study obtained from conventional LC/MS/MS and by automated nanoESI-MS/MS were in excellent agreement.

A method for ligand screening by automated nano-electrospray ionization mass spectrometry (nano-ESI/MS) is described. The core of the system consisted of a chip-based platform for automated sample delivery from a 96-well plate and subsequent analysis based on noncovalent interactions. Human fatty acid binding protein, H-FABP (heart) and A-FABP (adipose), with small potential ligands was analyzed. The technique has been compared with a previously reported method based on nuclear magnetic resonance (NMR), and excellent correlation with the found hits was obtained. In the current MS screening method, the cycle time per sample was 1.1 min, which is approximately 50 times faster than NMR for single compounds and approximately 5 times faster for compound mixtures. High reproducibility was achieved, and the protein consumption was in the range of 88 to 100 picomoles per sample. Furthermore, a novel protocol for preparation of A-FABP without the natural ligand is presented. The described screening approach is suitable for ligand screening very early in the drug discovery process before conventional high-throughput screens (HTS) are developed and/or used as a secondary screening for ligands identified by

In the last several years, significant progress has been made in the development of microfluidic-based analytical technologies for proteomic and drug discovery applications. Chip-based nanoelectrospray coupled to a mass spectrometer detector is one of the recently developed analytical microscale technologies. This technology offers unique advantages for automated nanoelectrospray including reduced sample consumption, improved detection sensitivity and enhanced data quality for proteomic studies. This review presents an overview and introduction of recent developments in chip devices coupled to electrospray mass spectrometers including the development of the automated nanoelectrospray ionization chip device for protein characterization. Applications using automated chip-based nanoelectrospray ionization technology in proteomic and bioanalytical studies are also extensively reviewed in the fields of high-throughput protein identification, protein post-translational modification studies, top-down proteomics, biomarker screening by pattern recognition, noncovalent protein-ligand binding for drug discovery and lipid analysis. Additionally, future trends in chip-based nanoelectrospray technology are discussed.