Proteomics without polyacrylamide: qualitative and quantitative uses of tandem mass spectrometry in proteome analysis

Proteomics can be thought of as an attempt to understand the information encoded in genomic sequences from the perspective of proteins; i.e. the structure, function and regulation of biological processes at the protein level. In practice it stands in stark contrast to the hypothesis-driven serial approach practiced in the last century that was so successful for protein chemists and is built on the basic understanding of protein physicochemical properties developed during that era. Proteomics attempts to study biological processes comprehensively or globally by systematic parallel analysis of proteins expressed in a cell. While there are many analytical techniques in use and under development in proteomics, mass spectrometry is currently one of the field's most important discovery-based tools. This article will review some of the current approaches for qualitative and quantitative uses of tandem mass spectrometry in the field of proteomics specifically avoiding a discussion of the use of gel electrophoresis prior to mass spectrometry. Electronic Publication     

Enhanced detection and characterization of protocatechuate 3,4-dioxygenase in Acinetobacter lwoffii K24 by proteomics using a column separation

Acinetobacter lwoffii K24 known as an aniline degrading bacterium has also been found to utilize p-hydroxybenzoate as a sole carbon source. In this study, 2-DE using Q-Sepharose column separation was attempted for fast screening of protocatechuate 3,4-dioxygenase for catabolism of p-hydroxybenzoate in A. lwoffii K24. Two protocatechuate 3,4-dioxygenase subunits, pcaG and pcaH were detected and identified with N-terminal and internal sequencing, suggesting proteomics using a column separation may be helpful for the identification of specific protein spots and maximizing the detectable protein spots on the 2-DE gel. The PCR process using degenerate primers for protocatechuate 3,4-dioxygenase and sequence analyses of the PCR products revealed the existence of pcaH and pcaG in A. lwoffii K24. These two subunits were found to be closely located and share extensive homology with pcaH and pcaG of Pseudomonas marginata or Pseudomonas cepacia, providing the evidence that A. lwoffi K24 has the protocatechuate branches as well as catechol branches of beta-ketoadipate pathway.     

Analysis of complex protein-polypeptide systems for proteomic studies

Two-dimensional polyacrylamide gel electrophoresis (2-D PAGE), followed by protein extraction and characterization with chemical sequencing or mass spectrometry (MS), is the most commonly used method to analyze complex protein systems such as cells and organelles. However, it is claimed that 2-D PAGE is a slow and labor-intensive technique and also needs subsequent efforts for one-by-one identification of proteins. Recently, the combined methods of Fourier transform ion cyclotron resonance (FTICR) mass spectrometry, with preceding separation techniques such as capillary isoelectric focusing (CIEF) or liquid chromatography, have been demonstrated as high-throughput techniques suitable for proteomic analysis of protein systems. The studies which employ FTICR MS, aimed at the analysis of complex protein systems, have been reviewed, comparing their performance with that of 2-D PAGE. Also, the possibilities of combining 2-D PAGE and the FTICR MS method to analyze and reconstruct the structures and functions of complex systems are discussed.     

Protein database of Caenorhabditis elegans

Whole genome sequencing of the free-living nematode Caenorhabditis elegans is a prominent achievement in genomics and uncovers the existence of enormous known and unknown gene products. Characterization and linking of all gene products are the next challenging theme of biology. Genome-wide researches are already progressing on C. elegans and the fruits of these efforts are accessible through the internet. To link the sequence-function relationship, proteomic research has been applied to provide comprehensive information of the worm proteins. In addition to 2-dimensional gel electrophoresis for visualization of the proteome, recent advances in liquid chromatography (LC)-based technologies have allowed the large-scale analysis of proteins and are at cutting-edge of high-throughput analysis of focused proteome.     

Proteomic approach to apoptotic thymus maturation

Apoptosis is an essential process for selection of T lymphocytes specific for foreign antigen in the process of mammalian thymus maturation. Proteomics, a comprehensive study of proteins expressed in a cell, will facilitate the systematic analysis of protein molecules related to such a complicated biological system. Protein expression profiles including information about protein signatures, localization and their quantitative changes with extracellular stimulations are extremely useful to construct intracellular pathway models resulting in the apoptotic cell death.     

A proteomic study of pectin‐degrading enzymes secreted by Botrytis cinerea grown in liquid culture

Botrytis cinerea is a pathogenic filamentous fungus, which infects more than 200 plant species. The enzymes secreted by B. cinerea play an important role in the successful colonization of a host plant. Some of the secreted enzymes are involved in the degradation of pectin, a major component of the plant cell wall. A total of 126 proteins secreted by B. cinerea were identified by growing the fungus on highly or partially esterified pectin, or on sucrose in liquid culture. Sixty‐seven common proteins were identified in each of the growth conditions, of which 50 proteins exhibited a SignalP motif. Thirteen B. cinerea proteins with functions related to pectin degradation were identified in both pectin growth conditions, while only four were identified in sucrose. Our results indicate it is unlikely that the activation of B. cinerea from the dormant state to active infection is solely dependent on changes in the degree of esterification of the pectin component of the plant cell wall. Further, these results suggest that future studies of the B. cinerea secretome in infections of ripe and unripe fruits will provide important information that will describe the mechanisms that the fungus employs to access nutrients and decompose tissues.     

Representation of selected‐reaction monitoring data in the mzQuantML data standard

The mzQuantML data standard was designed to capture the output of quantitative software in proteomics, to support submissions to public repositories, development of visualization software and pipeline/modular approaches. The standard is designed around a common core that can be extended to support particular types of technique through the release of semantic rules that are checked by validation software. The first release of mzQuantML supported four quantitative proteomics techniques via four sets of semantic rules: (i) intensity‐based (MS¹) label free, (ii) MS¹ label‐based (such as SILAC or N¹⁵), (iii) MS² tag‐based (iTRAQ or tandem mass tags), and (iv) spectral counting. We present an update to mzQuantML for supporting SRM techniques. The update includes representing the quantitative measurements, and associated meta‐data, for SRM transitions, the mechanism for inferring peptide‐level or protein‐level quantitative values, and support for both label‐based or label‐free SRM protocols, through the creation of semantic rules and controlled vocabulary terms. We have updated the specification document for mzQuantML (version 1.0.1) and the mzQuantML validator to ensure that consistent files are produced by different exporters. We also report the capabilities for production of mzQuantML files from popular SRM software packages, such as Skyline and Anubis.     

YPED:An Integrated Bioinformatics Suite and Database for Mass Spectrometry-based Proteomics Research

We report a significantly-enhanced bioinformatics suite and database for proteomics research called Yale Protein Expression Database(YPED) that is used by investigators at more than 300 institutions worldwide. YPED meets the data management, archival, and analysis needs of a high-throughput mass spectrometry-based proteomics research ranging from a singlelaboratory, group of laboratories within and beyond an institution, to the entire proteomics community. The current version is a significant improvement over the first version in that it contains new modules for liquid chromatography–tandem mass spectrometry(LC–MS/MS) database search results, label and label-free quantitative proteomic analysis, and several scoring outputs for phosphopeptide site localization. In addition, we have added both peptide and protein comparative analysis tools to enable pairwise analysis of distinct peptides/proteins in each sample and of overlapping peptides/proteins between all samples in multiple datasets. We have also implemented a targeted proteomics module for automated multiple reaction monitoring(MRM)/selective reaction monitoring(SRM) assay development. We have linked YPED's database search results and both label-based and label-free fold-change analysis to the Skyline Panorama repository for online spectra visualization. In addition, we have built enhanced functionality to curate peptide identifications into an MS/MS peptide spectral library for all of our protein database search identification results.     

Proteomics profiling identify CAPS as a potential predictive marker of tamoxifen resistance in estrogen receptor positive breast cancer

Background

Despite the success of tamoxifen since its introduction, about one-third of patients with estrogen (ER) and/or progesterone receptor (PgR) - positive breast cancer (BC) do not benefit from therapy. Here, we aim to identify molecular mechanisms and protein biomarkers involved in tamoxifen resistance.

Results

Using iTRAQ and Immobilized pH gradient-isoelectric focusing (IPG-IEF) mass spectrometry based proteomics we compared tumors from 12 patients with early relapses (<2 years) and 12 responsive to therapy (relapse-free > 7 years). A panel of 13 proteins (TCEAL4, AZGP1, S100A10, ALDH6A1, AHNAK, FBP1, S100A4, HSP90AB1, PDXK, GFPT1, RAB21, MX1, CAPS) from the 3101 identified proteins, potentially separate relapse from non-relapse BC patients. The proteins in the panel are involved in processes such as calcium (Ca²⁺) signaling, metabolism, epithelial mesenchymal transition (EMT), metastasis and invasion. Validation of the highest expressed proteins in the relapse group identify high tumor levels of CAPS as predictive of tamoxifen response in a patient cohort receiving tamoxifen as only adjuvant therapy.

Conclusions

This data implicate CAPS in tamoxifen resistance and as a potential predictive marker.

Electronic supplementary material

The online version of this article (doi:10.1186/s12014-015-9080-y) contains supplementary material, which is available to authorized users.