Gel-based methods in redox proteomics

Background

The key to understanding the full significance of oxidants in health and disease is the development of tools and methods that allow the study of proteins that sense and transduce changes in cellular redox. Oxidant-reactive deprotonated thiols commonly operate as redox sensors in proteins and a variety of methods have been developed that allow us to monitor their oxidative modification.

Scope of the review

This outline review specifically focuses on gel-based methods used to detect, quantify and identify protein thiol oxidative modifications. The techniques we discuss fall into one of two broad categories. Firstly, methods that allow oxidation of thiols in specific proteins or the global cellular pool to be monitored are discussed. These typically utilise thiol-labelling reagents that add a reporter moiety (e.g. affinity tag, fluorophore, chromophore), in which loss of labelling signifies oxidation. Secondly, we outline methods that allow specific thiol oxidation states of proteins (e.g. S-sulfenylation, S-nitrosylation, S-thionylation and interprotein disulfide bond formation) to be investigated.

Major conclusions

A variety of different gel-based methods for identifying thiol proteins that are sensitive to oxidative modifications have been developed. These methods can aid the detection and quantification of thiol redox state, as well as identifying the sensor protein.

General significance

By understanding how cellular redox is sensed and transduced to a functional effect by protein thiol redox sensors, this will help us better appreciate the role of oxidants in health and disease. This article is part of a Special Issue entitled Current methods to study reactive oxygen species - pros and cons and biophysics of membrane proteins. Guest Editor: Christine Winterbourn.     

Highlights on the capacities of "Gel-based" proteomics

Gel-based proteomic is the most popular and versatile method of global protein separation and quantification. This is a mature approach to screen the protein expression at the large scale, and a cheaper approach as compared with gel-free proteomics. Based on two independent biochemical characteristics of proteins, two-dimensional electrophoresis combines isoelectric focusing, which separates proteins according to their isoelectric point, and SDS-PAGE, which separates them further according to their molecular mass. The next typical steps of the flow of gel-based proteomics are spots visualization and evaluation, expression analysis and finally protein identification by mass spectrometry. For the study of differentially expressed proteins, two-dimensional electrophoresis allows simultaneously to detect, quantify and compare up to thousand protein spots isoforms, including post-translational modifications, in the same gel and in a wide range of biological systems. In this review article, the limits, benefits, and perspectives of gel-based proteomic approaches are discussed using concrete examples.     

Gel-based proteomics of unilateral irradiated striatum after gamma knife surgery

Gamma knife surgery (GKS) is used for the treatment of various brain disorders. The biological effects of focal gamma ray irradiation on targeted or surrounding areas in the brain are not well-known. In the present study, we evaluated protein expression changes in the unilateral irradiated (60 Gy) striatum in rat. Striata of irradiated and control brains were dissected 16 h post-irradiation for analysis by large-format two-dimensional gel electrophoresis (2-DGE). In parallel, we also examined the un-targeted contralateral striatum over the control for potential changes in proteins patterns that may have occurred due to the effects of irradiation to the unilateral striatum. A total of 17 reproducible and differentially expressed silver nitrate-stained protein spots in the irradiated striatum was detected on 2-D gel. Their subsequent analysis by tandem mass spectrometry (nESI-LC-MS/MS) resulted in the identification of 13 nonredundant proteins. Interestingly, out of these 13 changed proteins, 2 proteins were also detected in the contralateral striatum. Some of the significantly changed proteins identified were creatine kinase, protein disulfide isomerase A3 precursor (PDA3), and peroxiredoxin 2 (Prx2). Western analysis with anti-PDA3 and anti-Prx2 antibodies revealed 4 and 2 cross-reacting protein spots on 2-D gel blots. Interestingly, after GKS, in the irradiated and un-irradiated striata, these spots showed a shift toward the acidic side, suggesting post-translational modifications. Taken together, these results indicate that unilateral irradiation during GKS triggers molecular changes in the bilateral striata.     

Comparative proteomics of rat liver and Morris hepatoma 7777 plasma membranes

Plasma membranes from normal rat liver and hepatocellular carcinoma Morris hepatoma 7777 were selectively solubilized by use of different reagents. After selective solubilization, proteins were identified by nano-HPLC-electrospray ionization tandem mass spectrometry (LC-ESI MS/MS). Using simple software, the patterns of proteins identified in membrane solubilizates from liver and hepatoma were compared. Proteins identified in Morris hepatoma 7777 and not in the corresponding membrane solubilizate from liver, mostly members of the annexin and heat shock protein families, are discussed as potential candidate markers for hepatocellular carcinomas.     

Molecular classification of liver cirrhosis in a rat model by proteomics and bioinformatics

Liver cirrhosis is a worldwide health problem. Reliable, noninvasive methods for early detection of liver cirrhosis are not available. Using a three-step approach, we classified sera from rats with liver cirrhosis following different treatment insults. The approach consisted of: (i) protein profiling using surface-enhanced laser desorption/ionization (SELDI) technology; (ii) selection of a statistically significant serum biomarker set using machine learning algorithms; and (iii) identification of selected serum biomarkers by peptide sequencing. We generated serum protein profiles from three groups of rats: (i) normal (n=8), (ii) thioacetamide-induced liver cirrhosis (n=22), and (iii) bile duct ligation-induced liver fibrosis (n=5) using a weak cation exchanger surface. Profiling data were further analyzed by a recursive support vector machine algorithm to select a panel of statistically significant biomarkers for class prediction. Sensitivity and specificity of classification using the selected protein marker set were higher than 92%. A consistently down-regulated 3495 Da protein in cirrhosis samples was one of the selected significant biomarkers. This 3495 Da protein was purified on-chip and trypsin digested. Further structural characterization of this biomarkers candidate was done by using cross-platform matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) peptide mass fingerprinting (PMF) and matrix-assisted laser desorption/ionization time of flight/time of flight (MALDI-TOF/TOF) tandem mass spectrometry (MS/MS). Combined data from PMF and MS/MS spectra of two tryptic peptides suggested that this 3495 Da protein shared homology to a histidine-rich glycoprotein. These results demonstrated a novel approach to discovery of new biomarkers for early detection of liver cirrhosis and classification of liver diseases.     

Mechanisms of hydrazine toxicity in rat liver investigated by proteomics and multivariate data analysis

A proteomics approach combined with multivariate data analysis was used to examine the hepatotoxic effect of hydrazine in 30 male Sprague Dawley rats, assigned to four treatment groups and two control groups. Liver samples from the individual animals were resolved by two-dimensional differential gel electrophoresis (2-D DIGE) and protein patterns from the 2-D gels were analyzed by principal component analysis (PCA) and partial least squares regression (PLSR). The PCA plot was able to describe the variation in the protein expression related to dose and time, by separation or clustering of different animal groups. PLSR followed by variable selection (Jack-knifing) was used to select proteins that varied significantly in relation to the dose related response of the hydrazine treatment. The 10 up-regulated and 10 down-regulated proteins with highest rank in the PLSR model were identified by mass spectrometry. Hydrazine treatment induced altered expression of proteins related to lipid metabolism, Ca(2+) homeostasis, thyroid hormone pathways and stress response. Several of the identified proteins have not previously been implicated in hydrazine toxicity and may thus be regarded as new potential biomarkers of induced liver toxicity.     

Prostate cancer proteomics

Proteomics has offered the hope of biomarker discovery to improve the management of prostate cancer. Markers are needed for screening and diagnosis, distinguishing latent from aggressive disease, defining the men who will benefit from therapy, differentiating localized from metastatic disease, predicting outcome and identifying new targets for therapy. There are many potential sources of proteins derived from the prostate, including urine, prostatic fluid (expressed or ejaculate), serum, and plasma or tissue, each with distinct advantages and limitations. Equally, there are many methodological platforms for proteomic studies of the prostate. Despite the promise, protoemics has yielded little of relevance to the management of prostate cancer, and most of the work that has been published is either irreproducible or of no clinical value.     

Gel-based application of siRNA to human epithelial cancer cells induces RNAi-dependent apoptosis

Gene silencing by RNA interference (RNAi) operates at the level of mRNA that is targeted for destruction with exquisite sequence specificity. In principle, any disease-related mRNA sequence is a putative target for RNAi-based therapeutics. To develop this therapeutic potential, it is necessary to develop ways of inducing RNAi by clinically acceptable delivery procedures. Here, we ask if inducers of RNAi can be delivered to human cells via a gel-based medium. RNAi was induced using synthetic small interfering RNAs (siRNAs), which bypass the need for expression vectors and carry the added bonus of high potency and immediate efficacy. Established cultures of human cells of normal and tumor origin were overlaid with an agarose/liposome/siRNA gel formulation without adverse effects on cell viability or proliferation. Epithelial cancer cells (but not normal human fibroblasts) proved vulnerable to specific siRNAs delivered via the agarose/liposome/siRNA formulation. Moreover, proapoptotic siRNAs induced apoptosis of cervical carcinoma cells (treated with human papillomavirus [HPV] E7 siRNA) and of colorectal carcinoma cells (treated with Bcl-2 siRNA). Thus, we demonstrate successful topical gel-based delivery of inducers of RNAi to human epithelial cancer cells. Topical induction of RNAi opens an important new therapeutic approach for treatment of human diseases, including cervical cancer and other accessible disorders.     

Current perspectives in cancer proteomics

Proteome technology has been used widely in cancer research and is a useful tool for the identification of new cancer markers and treatment-related changes in cancer. This article details the use of proteome technology in cancer research, and laboratory-based and clinical cancer research studies are described. New developments in proteome technology that enable higher sample-throughput are evaluated and methods for enhancing conventional proteome analysis (based on two-dimensional electrophoresis) discussed. The need to couple laboratory-based proteomics research with clinically relevant models of the disease is also considered, as this remains the next main challenge of cancer-related proteome research.     

Networks in proteomics analysis of cancer

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Highlights► Combining networks and proteomics can overcome consistency/coverage issues. ► Differential subnets are more robust biomarkers than single genes. ► Utilizing networks allows unprecedented class discovery/hypothesis testing/analysis. ► Novel proteomics-specific network methods that address limitations are needed.     

A proteomics approach to identify protein expression changes in rat liver following administration of 3,5,3'-triiodo-L-thyronine

We analyzed whole cell protein content of rat liver following T3 administration. Fourteen differentially expressed proteins were unambiguously identified and were involved in substrates and lipid metabolism, energy metabolism, detoxification of cytotoxic products, calcium homeostasis, amino acid catabolism, and the urea cycle. This study represents the first systematic identification of T3-induced changes in liver protein expression profile and provides novel information at the molecular, cellular, and tissue level of T3 action.     

大鼠肝癌模型建立的研究进展

肝癌动物模型是研究肝癌的重要依据,其在揭示肿瘤发病机制、评估治疗方法中的角色不可或缺。近年来,研究人员借助不同类型的动物模型不断获得有关肝癌及其治疗预后的丰富数据。本文通过总结常用的诱发性和移植性大鼠肝癌的建模方式及应用,以呈现近年来在构建大鼠肝癌模型实践中的进展。     

上皮细胞向间充质细胞转变在肝癌进程中的作用

上皮细胞向间充质细胞转变(epithelial to mesenchymal transition,EMT)是细胞通过瞬时去分化为间充质表型,导致上皮细胞的可塑性发生变化的多步骤的生物学过程。EMT及其逆转MET多数发生在胚胎发生形态发生过程中。近期更多的证据显示EMT参与肝纤维化和肝癌进程。在肝癌转移的早期阶段,细胞由于E-钙粘蛋白的消融而丧失细胞-细胞接触抑制,迁移能力增强,得以扩散到周围或远处组织,故EMT在肝癌转移的早期阶段中起关键作用。此外,由于EMT的增强诱导剂如转移生长因子(transforming growth factor-β,TGF-β)具有协调肝纤维化及肝癌进程的作用,故肝癌进程中上皮细胞的可塑性研究显得尤为重要。在本综述中,作者将阐述EMT-MET在肝癌进程中的重要性,及EMT在肝癌进程中的作用机制。同时,概述最近在识别影响重要EMT转录因子的临床诊治方面取得的进展。     

Clinical proteomics of breast cancer

Despite the lifetimes that increased in breast cancers due to the the early screening programs and new therapeutic strategies, many cases still are being lost due to the metastatic relapses. For this reason, new approaches such as the proteomic techniques have currently become the prime objectives of breast cancer researches. Various omic-based techniques have been applied with increasing success to the molecular characterisation of breast tumours, which have resulted in a more detailed classification scheme and have produced clinical diagnostic tests that have been applied to both the prognosis and the prediction of outcome to the treatment. Implementation of the proteomics-based techniques is also seen as crucial if we are to develop a systems biology approach in the discovery of biomarkers of the early diagnosis, prognosis and prediction of the outcome of the breast cancer therapies. In this review, we discuss the studies that have been conducted thus far, for the discovery of diagnostic, prognostic and predictive biomarkers, and evaluate the potential of the discriminating proteins identified in this research for clinical use as breast cancer biomarkers.