Quantitative Proteomic Measurements Research Articles

Understanding the influence of post‐excite radius and axial confinement on quantitative proteomic measurements using Fourier transform ion cyclotron resonance mass spectrometry

Early studies of Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry (MS) explored many of the fundamental issues surrounding the potential of the technique to provide quantitative data. Improvements in instrument technology and the analysis of larger molecules in increasingly complex mixtures warrant not only a revisit to some of these earlier studies, but a more comprehensive examination of the influence of various instrument parameters on quantitative (absolute and relative) measurements in proteomics. We present a detailed examination of the role that acquisition time, excite voltage (i.e. excite radius), trapping voltage, and the type of excitation waveform have on the ability of FT-ICR to accurately quantify biological molecules. The use of a stable-isotope-labeled and unlabeled phenyl isocyanate derivatized peptide allows us to ascribe the effects of FT-ICR-MS on quantification, thus eliminating the contribution of ionization differences to ion abundance. To adequately assess the multiple parameters in the large dataset, we develop a multiplicative quality factor that encompasses the total ion abundance, as well as the accuracy and the precision of abundance ratios. This assessment allows facile determination of optimal instrument parameters for quantitative measurements.

Robust Estimation of Peptide Abundance Ratios and Rigorous Scoring of Their Variability and Bias in Quantitative Shotgun Proteomics

The abundance ratio between the light and heavy isotopologues of an isotopically labeled peptide can be estimated from their selected ion chromatograms. However, quantitative shotgun proteomics measurements yield selected ion chromatograms at highly variable signal-to-noise ratios for tens of thousands of peptides. This challenge calls for algorithms that not only robustly estimate the abundance ratios of different peptides but also rigorously score each abundance ratio for the expected estimation bias and variability. Scoring of the abundance ratios, much like scoring of sequence assignment for tandem mass spectra by peptide identification algorithms, enables filtering of unreliable peptide quantification and use of formal statistical inference in the subsequent protein abundance ratio estimation. In this study, a parallel paired covariance algorithm is used for robust peak detection in selected ion chromatograms. A peak profile is generated for each peptide, which is a scatterplot of ion intensities measured for the two isotopologues within their chromatographic peaks. Principal component analysis of the peak profile is proposed to estimate the peptide abundance ratio and to score the estimation with the signal-to-noise ratio of the peak profile (profile signal-to-noise ratio). We demonstrate that the profile signal-to-noise ratio is inversely correlated with the variability and bias of peptide abundance ratio estimation.

Distinct proteomic profiles of amphetamine self-administration transitional states

In the rat, continuous access to d-amphetamine (d-AMPH) leads to lengthy bouts of self-administration, voluntary abstinence, and relapse to self-administration. Previous studies have revealed that the progression from psychostimulant self-administration to abstinence to relapse is mediated in part by the ventral hippocampus. Stimulation of the ventral subiculum (vSub) during voluntary abstinence from d-AMPH self-administration reinstates self-administration and increases nucleus accumbens (NAc) dopamine efflux. Quantitative proteomic examination of the hippocampus from rats naive to amphetamine, during a self-administration session 'Binge', during voluntarily abstinence 'Abstinent', and after reinstatement of self-administration 'Relapse', revealed a differential proteomic state during abstinence. Actin- and cytoskeletal-related proteins were over-represented in the changes occurring during abstinence and suggest a decrease in actin filament polymerization. These changes may underlie alterations in neuronal tone during abstinence that could affect both neurotransmission and behavior. These data provide the first classification of addiction-related behaviors based on clustering of quantitative proteomic measurements. .

High Throughput Quantitative Analysis of Serum Proteins Using Glycopeptide Capture and Liquid Chromatography Mass Spectrometry

It is expected that the composition of the serum proteome can provide valuable information about the state of the human body in health and disease and that this information can be extracted via quantitative proteomic measurements. Suitable proteomic techniques need to be sensitive, reproducible, and robust to detect potential biomarkers below the level of highly expressed proteins, generate data sets that are comparable between experiments and laboratories, and have high throughput to support statistical studies. Here we report a method for high throughput quantitative analysis of serum proteins. It consists of the selective isolation of peptides that are N-linked glycosylated in the intact protein, the analysis of these now deglycosylated peptides by liquid chromatography electrospray ionization mass spectrometry, and the comparative analysis of the resulting patterns. By focusing selectively on a few formerly N-linked glycopeptides per serum protein, the complexity of the analyte sample is significantly reduced and the sensitivity and throughput of serum proteome analysis are increased compared with the analysis of total tryptic peptides from unfractionated samples. We provide data that document the performance of the method and show that sera from untreated normal mice and genetically identical mice with carcinogen-induced skin cancer can be unambiguously discriminated using unsupervised clustering of the resulting peptide patterns. We further identify, by tandem mass spectrometry, some of the peptides that were consistently elevated in cancer mice compared with their control littermates.

Ultra-sensitive, high throughput and quantitative proteomics measurements

We describe the broad basis and application of an approach for very high throughput, ultra-sensitive, and quantitative proteomic measurements based upon the use of ultra-high performance separations and mass spectrometry (MS). An overview of the accurate mass and time (AMT) tag approach and a description of the incorporated data analysis pipeline necessary for efficient proteomic studies are presented. Adjunct technologies, including stable-isotope labeling methodologies and improvements in the utilization of liquid chromatography (LC)–MS peak intensity information for quantitative purposes are also discussed. Related areas include the use of automated sample handling for improving analysis reproducibility, methods for using information from the separation for more confident peptide peak identification, and the utilization of smaller diameter capillary columns having lower volumetric flow rates to increase electrospray ionization efficiency and allow for more predictable and quantitative results. The developments are illustrated in the context of studies of complex biological systems.

Proteomics by FTICR mass spectrometry: top down and bottom up.

This review provides a broad overview of recent Fourier transform ion cyclotron resonance (FTICR) applications and technological developments relevant to the field of proteomics. Both the "bottom up" (peptide level) and "top down" (intact protein level) approaches are discussed and illustrated with examples. "Bottom up" topics include peptide fragmentation, the accurate mass and time (AMT) tag approach and dynamic range extension technology, aspects of quantitative proteomics measurements, post-translational modifications, and developments in FTICR operation software focused on peptide and protein identification. Topics related to the "top down" approach include various aspects of high mass measurements, protein tandem mass spectrometry, methods for the study of protein conformations, and protein complexes as well as advanced technologies that may become of practical utility in the coming years. Finally, early examples of the integration of both FTICR approaches to biomedical proteomics applications are presented, along with an outlook for future directions.

A simple solid phase mass tagging approach for quantitative proteomics.

New mass-tagging reagents for quantitative proteomics measurements have been designed using solid phase peptide synthesis technology. The solid phase mass tags have been used to accurately measure the relative amounts of cysteine-containing peptides in model peptide mixtures as well as in mixtures of tryptic digests in the femtomol range. Measurements were made using both matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) and online reversed-phase capillary liquid chromatography coupled through a nanoelectrospray interface to an ion trap mass spectrometer (capillary LC/ESI-MS). Results of mass-tagging experiments obtained from these two mass spectrometry techniques and their relative advantages and disadvantages for identification and quantitation of mass tagged peptides are compared. These reagents provide a simple, rapid and cost-effective alternative to currently available mass tagging technologies.