Two-dimensional Difference Gel Electrophoresis Research Articles

DIGE Analysis Software and Protein Identification Approaches.

Two-dimensional difference gel electrophoresis (2D-DIGE) is a high-resolution protein separation technique, with the excellent dynamic range obtained by fluorescent tag labeling of protein samples. Scanned images of 2D-DIGE gels show thousands of protein spots, each spot representing a single or a group of protein isoforms. By using commercially available software, each protein spot is defined by an outline, which is digitized and correlated with the quantity of proteins present in each spot. Software packages include DeCyder, SameSpots, and Dymension 3. In addition, proteins of interest can be excised from post-stained gels and identified with conventional mass spectrometric techniques. High-throughput mass spectrometry is performed using sophisticated instrumentation, including matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF), MALDI-TOF/TOF, and liquid chromatography tandem mass spectrometry (LC-MS/MS). Tandem MS (MALDI-TOF/TOF or LC-MS/MS) analyzes fragmented peptides, resulting in amino acid sequence information, which is especially useful when protein spots are low abundant or where a mixture of proteins is present.

Two-Dimensional Gel Electrophoresis and 2D-DIGE.

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) continues to be one of the most versatile and widely used techniques to study the proteome of a biological system, particularly in the separation of intact proteins. A modified version of 2D-PAGE, two-dimensional difference gel electrophoresis (2D-DIGE), which uses differential labeling of protein samples with up to three fluorescent tags, offers greater sensitivity and reproducibility over conventional 2D-PAGE gels for differential quantitative analysis of protein expression between experimental groups. Both these methods have distinct advantages in the separation and identification of thousands of individual protein species including protein isoforms and post-translational modifications. This chapter discusses the principles of 2D-PAGE and 2D-DIGE including limitations to the methods. 2D-PAGE and 2D-DIGE continue to be popular methods in bioprocessing-related research, particularly on recombinant Chinese hamster ovary cells, which are also discussed in this chapter.

DIGE Analysis of ProteoMiner™ Fractionated Serum/Plasma Samples.

The discovery of clinically relevant biomarkers using gel-based proteomics has proven extremely challenging, principally because of the large dynamic range of protein abundances in biofluids such as blood and the fact that only a small number of proteins constitute the vast majority of total blood protein mass. Various separation, depletion, enrichment, and quantitative developments coupled with improvements in gel-based protein quantification technologies, specifically fluorescence two-dimensional difference gel electrophoresis (2D-DIGE), have contributed to significant improvements in the detection and identification of lower abundance proteins. One of these enrichment technologies, ProteoMiner, is the focus of this chapter. The ProteoMiner technology utilizes hexapeptide bead library with huge diversity to bind and enrich low-abundance proteins but at the same time suppresses the concentration of high-abundance proteins in subsequent analysis.

Protein Digestion for 2D-DIGE Analysis.

In-gel digestion of protein spots derived from two-dimensional gels and their subsequent identification by mass spectrometry is involved in a multitude of mass spectrometry-driven proteomic experiments, including fluorescence two-dimensional difference gel electrophoresis (2D-DIGE). This type of proteomic methodology has been involved in the establishment of comparative proteome maps and in the identification of differentially expressed proteins and their isoforms in health and disease. Most in-gel digestion protocols follow a number of common steps including excision of the protein spots of interest, destaining, reduction and alkylation (for silver-stained gels), and dehydration and overnight digestion with the proteolytic enzyme of choice. While trypsin has been a mainstay of peptide digestion for many years, it does have its shortcomings, particularly related to incomplete peptide digestion, and this has led to a rise in popularity for other proteolytic enzymes either used alone or in combination. This chapter discusses the alternative enzymes available and describes the process of in-gel digestion using the enzyme trypsin.

Verification of Protein Changes Determined by 2D-DIGE Based Proteomics Using Immunofluorescence Microscopy.

Fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) is a key biochemical method for the comparative analysis of complex protein mixtures. The technique focuses on the identification and characterization of individual protein species following gel electrophoretic separation making it an important analytical tool of top-down proteomics. In order to verify changes in the expression levels of a particular protein, as determined by 2D-DIGE analysis, and evaluate the subcellular localization of the proteoform of interest, immunofluorescence microscopy is very well suited. This chapter describes in detail the preparation of tissue specimens and the process of cryo-sectioning, as well as incubation with primary antibodies and fluorescently labeled secondary antibodies, followed by image analysis. As illustrative examples, the co-detection of immuno-labeled dystrophin and the Y-chromosome in skeletal muscle are shown, and the localization of calbindin in the cerebellum is presented.

Subcellular Fractionation for DIGE-Based Proteomics.

Mass spectrometry-based protein methodologies have revolutionized the field of analytical biochemistry and enable the identification of hundreds to thousands of proteins in biological fluids, cell lines, and tissue. This methodology requires the initial separation of a protein constellation, and this has been successfully achieved using gel-based techniques, particularly that of fluorescence two-dimensional difference gel electrophoresis (2D-DIGE). However, given the complexity of the proteome, fractionation techniques may be required to optimize the detection of low-abundance proteins, which are often underrepresented but which may represent important players in health and disease. Such subcellular fractionation protocols typically utilize density-gradient centrifugation and have enabled the enrichment of crude microsomes, the cytosol, the plasmalemma, the nuclei, and the mitochondria. In this chapter, we describe the experimental steps involved in the enrichment of crude microsomes from the skeletal muscle using differential centrifugation and subsequent verification of enrichment by gel electrophoresis and immunoblotting, prior to comparative 2D-DIGE analysis.

2D-DIGE Proteomic Analysis of Mouse Liver Within 1 Week.

Several years have passed since LC (liquid chromatography)-MS (mass spectrometry) became the mainstream for proteomic analysis; however, conventional fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) continues to be an important technology that enables rapid and direct visualization of hundreds to thousands of proteins and their quantitative analyses. We can get global proteomic views using 2D-DIGE within 3 days and then identify proteins with differential expression levels using MALDI-TOF/MS and MASCOT search engine. Here, we describe our routine 2D-DIGE proteomic analysis of the liver isolated from mice in pathological conditions within 1 week.

Sample Preparation and Protein Determination for 2D-DIGE Proteomics.

Fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) is a widely employed method for efficient protein separation and the determination of abundance changes in distinct proteoforms. This makes this gel-based method a key technique of comparative approaches in top-down proteomics. For the appropriate screening of proteome-wide alterations, initial preparative steps involve sample handling, homogenization, subcellular fractionation, and the determination of protein concentration, which makes the optimal application of these techniques a crucial part of a successful initiation of a new 2D-DIGE-based analysis. This chapter describes sample homogenization and a standardized protein assay for the preparation of homogenates with a known protein concentration for subsequent differential fluorescent tagging and two-dimensional gel electrophoretic separation.

Two-Dye Versus Three-Dye DIGE for Comparative Testis Tissue Proteomic Analysis.

The global analysis of the proteome is an important tool in cell biology. Comparative proteomic evaluations can identify and compare the composition, dynamics, and modifications between different samples. Comparing tissue proteomes under different conditions is crucial for advancing the biomedical field. Fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) is a sensitive and robust biochemical method that can compare multiple protein samples over a broad dynamic range on the same analytical gel and can be used to establish differentially expressed protein profiles between different sample groups. 2D-DIGE involves fluorescently labeling protein samples with CyDye flours, via a two-dye or a three-dye system, pre-separation by isoelectric point, and molecular weight. DIGE circumvents gel-to-gel variability by multiplexing samples to a single gel and through the use of a pooled internal standard for normalization, thus enabling accurate high-resolution analysis of differences in protein abundance between samples. This chapter discusses 2D-DIGE as a comparative tissue proteomic technique and describes in detail the experimental steps required for comparative proteomic analysis employing both options of two-dye and three-dye DIGE minimal labeling.

Top-Down Proteomics and Comparative 2D-DIGE Analysis.

The combination of large-scale protein separation techniques, sophisticated mass spectrometry, and systems bioinformatics has led to the establishment of proteomics as a distinct discipline within the wider field of protein biochemistry. Both discovery proteomics and targeted proteomics are widely used in biological and biomedical research, whereby the analytical approaches can be broadly divided into proteoform-centric top-down proteomics versus peptide-centric bottom-up proteomics. This chapter outlines the scientific value of top-down proteomics and describes how fluorescence two-dimensional difference gel electrophoresis can be combined with the systematic analysis of crucial post-translational modifications. The concept of on-membrane digestion following the electrophoretic transfer of proteins and the usefulness of comparative two-dimensional immunoblotting are discussed.

DIGE-Based Biomarker Discovery in Blood Cancers.

Cancer of blood or bone marrow-derived cells dysregulates normal hematopoiesis and accounts for over 6% of all cancer cases annually. Proteomic analyses of blood cancers have improved our understanding of disease mechanisms and identified numerous proteins of clinical relevance. For many years, gel-based proteomic studies have aided in the discovery of novel diagnostic, prognostic, and predictive biomarkers, as well as therapeutic targets, in various diseases, including blood cancer. Fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) facilitates comparative proteomic research to identify differential protein expression in a simple and reproducible manner. The versatility of 2D-DIGE as a quantitative proteomic technique has provided insight into various aspects of blood cancer pathology, including disease development, prognostic subtypes, and drug resistance. The ability to couple 2D-DIGE with additional downstream mass spectrometry-based techniques yields comprehensive workflows capable of identifying proteins of biological and clinical significance. The application of 2D-DIGE in blood cancer research has significantly contributed to the increasingly important initiative of precision medicine. This chapter will focus on the influential role of 2D-DIGE as a tool in blood cancer research.

Comparative 3-Sample 2D-DIGE Analysis of Skeletal Muscles.

The skeletal muscle proteome consists of a large number of diverse protein species with a broad and dynamic concentration range. Since mature skeletal muscles are characterized by a distinctive combination of contractile cells with differing physiological and biochemical properties, it is essential to determine specific differences in the protein composition of fast, slow, and hybrid fibers. Fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) is a powerful comparative tool to analyze fiber type-specific differences between predominantly fast contracting versus slower twitching muscles. In this chapter, the application of the 2D-DIGE method for the comparative analysis of different subtypes of skeletal muscles is outlined in detail. A standardized proteomic workflow is described, involving sample preparation, protein extraction, differential fluorescence labeling using a 3-CyDye system, first-dimension isoelectric focusing, second-dimension slab gel electrophoresis, 2D-DIGE image analysis, protein digestion, and mass spectrometry.

Immunoblot Analysis of DIGE-Based Proteomics.

Proteins can be separated according to their size by gel electrophoresis and further analyzed by Western blotting. The proteins can be transferred to a membrane made of nitrocellulose or polyvinylidene fluoride (PVDF), which results in a replica of the protein's separation patterns. The proteins on the membrane can be detected by specific antibodies followed by visualization either on the membrane itself, on film, or by CCD cameras. Western blotting is a sensitive technique to verify data obtained from fluorescence two-dimensional difference gel electrophoresis (2D-DIGE)-based proteomics.

DIGE Saturation Labeling for Scarce Amounts of Protein from Formalin-Fixed Paraffin-Embedded (FFPE) Tissue.

In this chapter, we describe the utility of fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) as a proteomics platform for the global detection of expressed proteins in formalin-fixed paraffin-embedded (FFPE) tissues and its use for biomarker discovery/identification of proteins that may contribute to cancer development and progression. Formalin fixation and paraffin embedding of tissue is the standard processing methodology practiced in pathology laboratories worldwide, resulting in a highly stable form of tissue that is easily stored due to its inherent stability at room temperature. Consequently, FFPE tissues represent an attractive reservoir of clinical material for conducting retrospective protein biomarker analysis. A limitation for proteomics research in this type of clinical sample is the amount of viable protein that can be obtained from fixed tissues. Tissue biopsies are precious samples that can generally be acquired in very small amounts due to the invasive nature of the sample collection, mainly during surgery or biopsy. Subsequently, the amount of extracted protein can be, in many cases, very limited. The saturation 2D-DIGE technology has emerged as a useful method for protein analysis where only scarce amounts of protein are available. This approach can be adapted successfully to label low-level protein isolated from FFPE tissue.

Identification of Subproteomic Markers for Skeletal Muscle Profiling.

The biochemical and cell biological profiling of contractile fiber types and subcellular structures plays a central role in basic and applied myology. Mass spectrometry-based proteomics presents an ideal approach for the systematic identification of proteomic and subproteomic markers. These representative components of fast versus slow muscle fibers and their subcellular fractions are highly useful for in-depth surveys of skeletal muscle adaptations to physiological challenges, as well as the improvement of diagnostic, prognostic, and therapy-monitoring methodologies in muscle pathology. This chapter outlines the identification of subproteomic markers for skeletal muscle profiling based on bottom-up and top-down approaches, including fluorescence two-dimensional difference gel electrophoresis (2D-DIGE).

Histological and Histochemical Microscopy Used to Verify 2D-DIGE Pathoproteomics.

Comparative gel electrophoretic analyses of normal versus pathological specimens can swiftly identify proteome-wide changes in the concentration of specific protein isoforms. The application of fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) can be employed for the characterization of complex protein populations in health and disease. In order to verify pathoproteomic findings and correlate them to histopathological alterations, standardized histological and histochemical methodology can be applied for the cell biological analysis of normal versus pathological tissue samples. This chapter outlines the usage of histochemical ATPase staining of fast and slow fiber types in normal versus dystrophic skeletal muscles, as well as the application of hematoxylin and eosin staining of nuclei and the cellular body in kidney cells, and Sudan black staining of lipids in cryo-sections.

2D-DIGE Analysis of Liver Disease in Mice.

Hepatocellular carcinoma (HCC) is the major type of primary liver cancer. In this chapter, we describe our routine two-dimensional difference gel electrophoresis (2D-DIGE) workflow for analysis of mouse liver tissue in physiological conditions, as well as of mouse HCC. 2D-DIGE still constitutes a valuable comparative proteomics technique, not only providing information on global protein expression in a sample but also on potential posttranslational protein modifications, occurrence of protein degradation fragments, and the existence of protein isoforms. Thus, 2D-DIGE analysis provides highly complementary data to non-gel-based shotgun mass spectrometry (MS) methods (e.g., liquid chromatography (LC)-MS/MS)-allowing, for example, identification of novel protein biomarkers for HCC or increasing insights into the molecular mechanisms underlying hepatocarcinogenesis.

DIGE Analysis of Immunodepleted Plasma.

This chapter focuses on upstream immunodepletion of high-abundance proteins from plasma samples and subsequent analysis by fluorescence two-dimensional difference gel electrophoresis (2D-DIGE). The abundances of proteins in biofluid proteomes, such as serum, plasma, saliva, and bronchoalveolar lavage fluid (BALF), can exceed ten orders of magnitude. This substantial dynamic range is problematic for the detection of medium and low-abundance proteins by 2D-DIGE analysis. To increase the detection, quantification, and identification of medium-low-abundance proteins, the targeted depletion of known abundant proteins with antibody columns has been successfully employed. From the literature, it is clear that the performance of abundant protein depletion with immunodepletion columns has been successful in broadening the coverage of the biofluid proteome and facilitating the identification of disease-specific biomarkers. The task for a successful biomarker strategy involves the combination of a reproducible and robust fractionation method, coupled with a highly accurate quantitative method, a task that is exemplified by combining both immunodepletion and 2D-DIGE together to discover significant proteins associated with the disease phenotype.

Early postmortem muscle proteome and metabolome of beef longissimus thoracis muscle classified by pH at 6 hours postmortem

The objective was to identify metabolome and proteome differences at 1 h and 1 d postmortem between longissimus thoracis (LT) muscle classified based on 6 h pH values. Twenty beef LT rib sections were sorted based on 6 h postmortem pH values into low (LpH; pH < 5.55; n = 9) and high (HpH; pH > 5.84; n = 8) pH classifications. Warner-Bratzler shear force (WBSF), desmin degradation, and calpain-1 autolysis were measured. Two-dimensional difference in gel electrophoresis (3–10, 4–7, and 6–9 pH range) and Tandem mass tagging (TMT) protein analyses were employed to determine how the sarcoplasmic protein profile varied across pH classification. Non-targeted metabolomic analyses were conducted on extracts prepared at 1 h and 1 d postmortem. The LpH classification had a lower WBSF value at 1 d postmortem, which was explained by greater calpain-1 autolysis and desmin degradation at 1 d postmortem. Proteome and metabolome analysis revealed a phenotype that promotes more rapid energy metabolism in the LpH group. Proteome and metabolome analyses identified energy production, apoptotic, calcium homeostasis, and proteasome systems influencing pH classifications that could explain the observed pH, proteolysis, and beef tenderness differences. SignificanceThis study is the first to identify proteomic and metabolomic variations early (1 h and 1 day) postmortem that are linked to differences in early (6 h) postmortem pH values and to tenderness differences at 1 day postmortem. This study integrates postmortem biochemical features (protein degradation, proteome, and metabolome variations) to postmortem pH decline and eating quality of beef steaks. Potential biomarkers of more rapid postmortem metabolism linked to earlier tenderization in beef are suggested. Identification of these biochemical features will assist in predicting the eating quality of beef products.

2D-DIGE-MS Proteomics Approaches for Identification of Gelsolin and Peroxiredoxin 4 with Lymph Node Metastasis in Colorectal Cancer.

Simple SummarySchematic presentation of the histone modification of gelsolin (GSN) and peroxiredoxin-4 (PRDX4) promoters by endogenous EGFR/RhoA/PKC/ERK signaling pathways in DLD-1 cells. Identifying lymph node metastasis (LNM)-associated proteins by two-dimensional difference gel electrophoresis MS/MS in colorectal cells (CRC) indicates the reliability of candidate markers of GSN and PRDX4 and therapeutic targets for CRC.Background/Aims: A combination of fluorescence two-dimensional difference gel electrophoresis (2D-DIGE) and matrix-assisted laser desorption/ionization time of flight mass spectrometry approach was used to search for potential markers for prognosis and intervention of colorectal cancer (CRC) at different stages of lymph node metastasis (LMN). This quantitative proteomic survey aimed to investigate the LNM-associated proteins and evaluate the clinicopathological characteristics of these target proteins in CRC from stage I to stage IV. Methods: Sixteen CRC cases were categorized into paired non-LNM and LNM groups, and two-dimensional difference gel electrophoresis and MS proteome analysis were performed. Differential protein expression between non-LNM and LNM CRC was further validated in a tissue microarray, including 40 paraffin-embedded samples by immunohistochemistry staining. Moreover, a Boyden chamber assay, flow cytometry, and shRNA were used to examine the epithelial–mesenchymal transition and mechanism invasiveness of the differentially expressed proteins in DLD-1 cells and in vivo xenograft mouse model. Results: Eighteen differentially expressed proteins were found between non-LNM and LNM CRC tissues. Among them, protein levels of Gelsolin (GSN) and peroxiredoxin 4 (PRDX4) were abundant in node-positive CRC. Downregulation of GSN and PRDX4 markedly suppressed migration and invasiveness and also induced cell cycle G1/S arrest in DLD-1. Mechanistically, the EGFR/RhoA/PKCα/ERK pathways are critical for transcriptional activation of histone modification of H3 lysine 4 trimethylation (H3K4me3) of GSN and PRDX4 promoters, resulting in upregulation of GSN, PRDX4, Twist-1/2, cyclinD1, proliferating cell-nuclear antigen, β-catenin, N-cadherin, and matrix metalloprotein-9. Conclusions: GSN and PRDX4 are novel regulators in CRC lymph node metastasis to potentially provide new insights into the mechanism of CRC progression and serve as a biomarker for CRC diagnosis at the metastatic stage.