An efficient extraction method to enhance analysis of low abundant proteins from soybean seed

Large amounts of the major storage proteins, β-conglycinin and glycinin, in soybean (Glycine max) seeds hinder the isolation and characterization of less abundant seed proteins. We investigated whether isopropanol extraction could facilitate resolution of the low abundant proteins, different from the main storage protein fractions, in one-dimensional polyacrylamide gel electrophoresis (1D-PAGE) and two-dimensional polyacrylamide gel electrophoresis (2D-PAGE). 1D-PAGE of proteins extracted by different concentrations (10%, 20%, 30%, 40%, 50%, 60%, 70% and 80%) of isopropanol showed that greater than 30% isopropanol was suitable for preferential enrichment of low abundant proteins. Analysis of 2D-PAGE showed that proteins which were less abundant or absent by the conventional extraction procedure were clearly seen in the 40% isopropanol extracts. Increasing isopropanol concentration above 40% resulted in a decrease in the number of less abundant protein spots. We have identified a total of 107 protein spots using matrix-assisted laser desorption/ionization time of flight mass spectrophotometry (MALDI-TOF-MS) and liquid chromatography-mass spectrometry (LC-MS/MS). Our results suggest that extraction of soybean seed powder with 40% isopropanol enriches lower abundance proteins and is a suitable method for 2D-PAGE separation and identification. This methodology could potentially allow the extraction and characterization of low abundant proteins of other legume seeds containing highly abundant storage proteins.     

Comparison of protein solubilization methods suitable for proteomic analysis of soybean seed proteins

Extraction of soybean seed proteins for two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and mass spectrometry analysis is challenging and inconsistent. In this study, we compared four different protein extraction/solubilization methods-urea, thiourea/urea, phenol, and a modified trichloroacetic acid (TCA)/acetone-to determine their efficacy in separating soybean seed proteins by 2D-PAGE. In all four methods, seed storage proteins were well separated by 2D-PAGE with minor variations in the intensity of the spots. The thiourea/urea and TCA methods showed higher protein resolution and spot intensity of all proteins compared with the other two methods. In addition, several less abundant and high molecular weight proteins were clearly resolved and strongly detected using the thiourea/urea and TCA methods. Protein spots obtained from the TCA method were subjected to mass spectrometry analysis to test their quality and compatibility. Fifteen protein spots were selected, digested with trypsin, and analyzed using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and liquid chromatography mass spectrometry (LC-MS). The proteins identified were beta-conglycinin, glycinin, Kunitz trypsin inhibitor, alcohol dehydrogenase, Gly m Bd 28K allergen, and sucrose binding proteins. These results suggest that the thiourea/urea and TCA methods are efficient and reliable methods for 2D separation of soybean seed proteins and subsequent identification by mass spectrometry.     

The PAXgene? Tissue System Preserves Phosphoproteins in Human Tissue Specimens and Enables Comprehensive Protein Biomarker Research

Precise quantitation of protein biomarkers in clinical tissue specimens is a prerequisite for accurate and effective diagnosis, prognosis, and personalized medicine. Although progress is being made, protein analysis from formalin-fixed and paraffin-embedded tissues is still challenging. In previous reports, we showed that the novel formalin-free tissue preservation technology, the PAXgene Tissue System, allows the extraction of intact and immunoreactive proteins from PAXgene-fixed and paraffin-embedded (PFPE) tissues. In the current study, we focused on the analysis of phosphoproteins and the applicability of two-dimensional gel electrophoresis (2D-PAGE) and enzyme-linked immunosorbent assay (ELISA) to the analysis of a variety of malignant and non-malignant human tissues. Using western blot analysis, we found that phosphoproteins are quantitatively preserved in PFPE tissues, and signal intensities are comparable to that in paired, frozen tissues. Furthermore, proteins extracted from PFPE samples are suitable for 2D-PAGE and can be quantified by ELISA specific for denatured proteins. In summary, the PAXgene Tissue System reliably preserves phosphoproteins in human tissue samples, even after prolonged fixation or stabilization times, and is compatible with methods for protein analysis such as 2D-PAGE and ELISA. We conclude that the PAXgene Tissue System has the potential to serve as a versatile tissue fixative for modern pathology.     

Separation and identification of soybean leaf proteins by two-dimensional gel electrophoresis and mass spectrometry

To establish a proteomic reference map for soybean leaves, we separated and identified leaf proteins using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and mass spectrometry (MS). Tryptic digests of 260 spots were subjected to peptide mass fingerprinting (PMF) by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) MS. Fifty-three of these protein spots were identified by searching NCBInr and SwissProt databases using the Mascot search engine. Sixty-seven spots that were not identified by MALDI-TOF-MS analysis were analyzed with liquid chromatography tandem mass spectrometry (LC-MS/MS), and 66 of these spots were identified by searching against the NCBInr, SwissProt and expressed sequence tag (EST) databases. We have identified a total of 71 unique proteins. The majority of the identified leaf proteins are involved in energy metabolism. The results indicate that 2D-PAGE, combined with MALDI-TOF-MS and LC-MS/MS, is a sensitive and powerful technique for separation and identification of soybean leaf proteins. A summary of the identified proteins and their putative functions is discussed.     

Separation and Identification of Rice Prolamins by Two-Dimensional Gel Electrophoresis and Amino Acid Sequencing

There are difficulties in detecting and separating rice prolamin polypeptides by 2D-PAGE analysis because prolamin polypeptides are insoluble, and the amino acid sequences show high homology among them. In this study, we improved the prolamin extraction method and the 2D-PAGE procedure, and succeeded in separating prolamin polypeptide species by 2D-PAGE and in identifying major prolamin polypeptide sequences.     

Separation and identification of rice prolamins by two-dimensional gel electrophoresis and amino acid sequencing

There are difficulties in detecting and separating rice prolamin polypeptides by 2D-PAGE analysis because prolamin polypeptides are insoluble, and the amino acid sequences show high homology among them. In this study, we improved the prolamin extraction method and the 2D-PAGE procedure, and succeeded in separating prolamin polypeptide species by 2D-PAGE and in identifying major prolamin polypeptide sequences.     

Multidimensional chromatography: a powerful tool for the analysis of membrane proteins in mouse brain

Understanding the function of membrane proteins is of fundamental importance due to their crucial roles in many cellular processes and their direct association with human disorders. However, their analysis poses a special challenge, largely due to their highly amphipathic nature. Until recently, analyses of proteomic samples mainly were performed by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), due to the unprecedented separation power of the technique. However, in conventional 2D-PAGE membrane proteins are generally underrepresented due to their tendency to precipitate during isoelectric focusing and their inefficient transfer from the first to the second dimension. As a consequence, several other separation techniques, primarily based on liquid chromatography (LC), have been employed for analysis of this group of proteins. In the present study, different LC-based methods were compared for the analysis of crude protein extracts. One- and two-dimensional high-performance liquid chromatographic (1D- and 2D-HPLC) separations of brain protein tryptic digests with a predicted concentration range of up to 5 orders of magnitude were found to be insufficient, thus making a preceding fractionation step necessary. An additional protein separation step was introduced and a 3D-PAGE-HPLC analysis was performed. The results of these experiments are compared with results of 2D-PAGE/matrix-assisted laser desorption ionization mass spectrometric (MALDI MS) analyses of the same samples. Features, challenges, advantages, and disadvantages of the respective systems are discussed. The brain (mouse and human) was chosen as the analyzed tissue as it is of high interest in medical and pharmaceutical research into neurological diseases such as multiple sclerosis, stroke, Alzheimer's disease, and Parkinson's disease. The study is part of our ongoing research aimed at identifying new biomarkers for neurodegenerative diseases.     

Decoding 2D-PAGE complex maps: relevance to proteomics

This review describes two mathematical approaches useful for decoding the complex signal of 2D-PAGE maps of protein mixtures. These methods are helpful for interpreting the large amount of data of each 2D-PAGE map by extracting all the analytical information hidden therein by spot overlapping. Here the basic theory and application to 2D-PAGE maps are reviewed: the means for extracting information from the experimental data and their relevance to proteomics are discussed. One method is based on the quantitative theory of statistical model of peak overlapping (SMO) using the spot experimental data (intensity and spatial coordinates). The second method is based on the study of the 2D-autocovariance function (2D-ACVF) computed on the experimental digitised map. They are two independent methods that are able to extract equal and complementary information from the 2D-PAGE map. Both methods permit to obtain fundamental information on the sample complexity and the separation performance and to single out ordered patterns present in spot positions: the availability of two independent procedures to compute the same separation parameters is a powerful tool to estimate the reliability of the obtained results. The SMO procedure is an unique tool to quantitatively estimate the degree of spot overlapping present in the map, while the 2D-ACVF method is particularly powerful in simply singling out the presence of order in the spot position from the complexity of the whole 2D map, i.e., spot trains. The procedures were validated by extensive numerical computation on computer-generated maps describing experimental 2D-PAGE gels of protein mixtures. Their applicability to real samples was tested on reference maps obtained from literature sources. The review describes the most relevant information for proteomics: sample complexity, separation performance, overlapping extent, identification of spot trains related to post-translational modifications (PTMs).     

Technical improvement to 2D-PAGE of rice organelle membrane proteins

Cytosolic and membrane-associated proteins prepared from rice cells were separated and compared by two different 2D-PAGE methods, isoelectric focusing (IEF)/SDS-PAGE and nonequilibrium pH gradient electrophoresis (NEPHGE)/SDS-PAGE. Although IEF/SDS-PAGE of the cytosolic proteins showed sufficient resolution, some mitochondrial and basic microsomal membrane-associated proteins were weakly or hardly detectable on the 2D gel. High-quality and -quantity separation of the organelle membrane-associated proteins was accomplished by NEPHGE/SDS-PAGE, the advantage of this method being more critical in tightly membrane-bound proteins that were unwashable with NaCl. These results indicate that NEPHGE/SDS-PAGE is a useful tool for the proteomic analysis of rice membrane-associated proteins.     

HPLC analysis of discrete haptoglobin isoform N-linked oligosaccharides following 2D-PAGE isolation

Glycosylation is a common but variable modification that regulates glycoprotein structure and function. We combined small format 2D-PAGE with HPLC to analyse discrete human haptoglobin isoform N-glycans. Seven major and several minor haptoglobin isoforms were detected by 2D-PAGE. N-Glycans released from Coomassie-stained gel spots using PNGase were labeled at their reducing termini with 2-aminobenzamide. HPLC analysis of selected major isoform N-glycans indicated that sialic acid composition determined their separation by isoelectric focussing. N-Glycans from two doublets of quantitatively minor isoforms were also analysed. Although separation of each pair of doublets was influenced by sialylation, individual spots within each doublet contained identical N-glycans. Thus, heterogeneity in minor haptoglobin isoforms was due to modifications distinct from N-glycan structure. These studies describe a simple method for analysing low abundance protein N-glycans and provide details of discrete haptoglobin isoform N-glycan structures which will be useful in proteomic analysis of human plasma samples.     

What place for polyacrylamide in proteomics?

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) continues to deliver high quality protein resolution and dynamic range for the proteomics researcher. To remain as the preferred method for protein separation and characterization, several key steps need to be implemented to ensure quality sample preparation and speed of analysis. Here, we describe the progress made towards establishing 2D-PAGE as the optimal separation tool for proteomics research.     

Screening of Rice Genes from the cDNA Catalog Using the Data Obtained by Protein Sequencing

The partial amino acid sequences of 121 rice proteins separated by two-dimensional gel electrophoresis (2D-PAGE), were determined for a protein sequence data file. In the Rice Genome Research Program (RGP), more than 20,000 cDNA clones randomly selected from rice cDNA libraries have been sequenced to construct a cDNA catalog. Complimentary DNAs encoding about 30% of proteins in the protein sequence data file could be identified in the catalog by computer search. It was deduced that 20,000–40,000 genes are present in the rice genome. Only half of about 20,000 cDNAs sequenced in the RGP, corresponding to 1/4–1/2 of genes present in the entire rice genome, should have unique sequences after considering gene redundancy. This is consistent with the fact that the cDNAs encoding about 30% of the sequenced proteins could be identified in the catalog. If the size of the cDNA catalog is enlarged further, cDNAs encoding all proteins separated by 2D-PAGE could be easily identified from the catalog by using the protein sequence data.     

Determination of Optimal Protein Quantity Required to Identify Abundant and Less Abundant Soybean Seed Proteins by 2D-PAGE and MS

Optimizing the amounts of proteins required to separate and characterize both abundant and less abundant proteins by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) is critical for conducting proteomic research. In this study, we tested five different levels of soybean seed proteins (75, 100, 125, 150, and 200 μg) by 2D-PAGE. Following 2D-PAGE and spot excision, proteins were identified by mass spectrometry analysis. The number of visible protein spots was increased with an increase in the amount of protein loaded. The intensity of highly abundant proteins [β-conglycinin β-homotrimer and glycinin G4 (A5A4B3) precursors] increased linearly between 75 and 125 μg, whereas the proglycinin G3 (A1ab1b) homotrimer showed linearity between 75 and 150 μg. The spot intensity of less abundant proteins, glycinin G2 (A2b1a) precursor and proglycinin G3 (A1ab1b) homotrimer, increased linearly with an increase in the amount of protein through 200 μg, whereas spot intensity of β-conglycinin β-homotrimer and the allergen Gly m bd 28K increased linearly until 150 μg and did not increase further at 200 μg. These results suggest that 150 μg protein was a suitable amount for the separation of abundant proteins, and 200 μg protein was suitable for the separation of less abundant proteins prepared from soybean seeds. Mention of trade name, proprietary product or vendor does not constitute a guarantee or warranty of the product by the U.S. Department of Agriculture or imply its approval to the exclusion of other products or vendors that also may be suitable.     

Tissue-specific microdissection coupled with ProteinChip array technologies: applications in cancer research

Analysis of whole genomes to monitor specific changes in gene activation or changes in gene copy number due to perturbation has recently become possible using DNA chip technologies. It is now becoming apparent, however, that knowing the genetic sequence encoding a protein is not sufficient to predict the size or biological nature of a protein. This can be particularly important in cancer research where posttranslational modifications of a protein can specifically lead to the disease. To address this area, several proteomic tools have been developed. Currently the most widely used proteomics tool is two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), which can display protein expression patterns to a high degree of resolution. However, 2D-PAGE can be time consuming; the analysis is complicated and, compared with DNA techniques, is not very sensitive. Although some of these problems can be alleviated by using high-quality homogeneous samples, such as those generated using microdissection techniques, the quantity of sample is often limited and may take several days to generate sufficient material for a single 2D-PAGE analysis. As an alternative to 2D-PAGE, a preliminary study using a new technique was used to generate protein expression patterns from either whole tissue extracts or microdissected material. Surface-enhanced laser desorption and ionization allows the retention of proteins on a solid-phase chromatographic surface or ProteinChip Array with direct detection of retained proteins by time-of-flight mass spectrometry. Using this system, we analyzed tumor and normal tissue from head and neck cancer and microdissected melanoma to determine differentially expressed proteins. In particular, comparisons of the protein expression patterns from microdissected normal and tumor tissues indicated several differences, highlighting the importance of extremely defined tissue lysates for protein profiling.     

Plant protein isolation and stabilization for enhanced resolution of two-dimensional polyacrylamide gel electrophoresis

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) is the common method of choice for proteomic analysis. By introducing several small changes, a method was developed that not only improved the resolution and reproducibility of 2D-PAGE but also shortened the time of analysis. Precipitation by alkaline phenol and methanol/ammonium acetate was the choice for protein extraction. However, instead of precipitating the proteins overnight at -20 °C, it was carried out for 2 to 3 h at -80 °C. Ethanol was used for the final wash of the protein precipitate instead of routinely used acetone. Dithiothreitol (DTT) was used in all solutions from the beginning, considerably improving the solubilization of precipitated proteins. Solubilization was further improved by using a mixture of detergents and denaturants at high concentrations along with large amounts of DTT. Both in-gel rehydration and cup-loading methods were used for isoelectric focusing (IEF). For in-gel rehydration, samples reduced with DTT were diluted with sample buffer containing 2-hydroxyethyl disulfide (2-HED) (1:3) or were cup-loaded on a strip rehydrated with sample buffer containing 2-HED. Glycerol (5%) was used in the sample buffer, and the focusing was performed at 15 °C. The applicability of the method was demonstrated using several soybean tissues.     

Protein estimation in tissues containing high levels of lipid: modifications to Lowry's method of protein determination

A method to estimate protein in detergent-solubilized homogenates of lipid-rich biological samples (e.g., adipose tissue, myelin-enriched fractions of sheep brain) is described. The method is also suitable for samples in which protein is present as a protein-detergent complex. The method involves homogenization of tissue in the presence of a suitable detergent and KCl. Protein is then estimated in an aliquot of this homogenate by Lowry's method in the presence of excess sodium dodecyl sulfate, the solutions being clarified by extraction with ethyl acetate. Protein solubilization by Triton X-100 from adipose tissue was biphasic, extracting two to three times more protein under optimum conditions [1.7 +/- 0.1% (v/v) Triton X-100 and 0.75 M KCl], compared with homogenization without salt and detergent. Unlike adipose tissue, protein solubilization from myelin-enriched fractions of sheep brain peaked at 1% (v/v) Triton X-100, resulting in the extraction of approximately three times more protein than homogenization in the absence of detergent and salt.     

Rice Proteome Database: A Step toward Functional Analysis of the Rice Genome

The technique of proteome analysis using two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) has the power to monitor global changes that occur in the protein complement of tissues and subcellular compartments. In this study, the proteins of rice were cataloged, a rice proteome database was constructed, and a functional characterization of some of the identified proteins was undertaken. Proteins extracted from various tissues and subcellular compartments in rice were separated by 2D-PAGE and an image analyzer was used to construct a display of the proteins. The Rice Proteome Database contains 23 reference maps based on 2D-PAGE of proteins from various rice tissues and subcellular compartments. These reference maps comprise 13129 identified proteins, and the amino acid sequences of 5092 proteins are entered in the database. Major proteins involved in growth or stress responses were identified using the proteome approach. Some of these proteins, including a β-tubulin, calreticulin, and ribulose-1,5-bisphosphate carboxylase/oxygenase activase in rice, have unexpected functions. The information obtained from the Rice Proteome Database will aid in cloning the genes for and predicting the function of unknown proteins.     

State-of-the-art two-dimensional gel electrophoresis: a key tool of proteomics research

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) is the most popular and versatile method of protein separation among a rapidly growing array of proteomics technologies. Based on two distinct procedures, it combines isoelectric focusing (IEF), which separates proteins according to their isoelectric point (pI), and SDS-PAGE, which separates them further according to their molecular mass. At present, 2D-PAGE is capable of simultaneously detecting and quantifying up to several thousand protein spots in the same gel image. Here we provide comprehensive step-by-step instructions for the application of a standardized 2D-PAGE protocol to a sample of human plasma or cerebrospinal fluid (CSF). The method can be easily adapted to any type of sample. This four-day protocol provides detailed information on how to apply complex biological fluids to an immobilized dry strip gel, cast home-made gradient acrylamide gels, run the gels, and perform standard staining methods. A troubleshooting guide is also included.     

水稻蛋白质组学研究进展

蛋白质组是一个基因组所表达蛋白质的总称,研究内容包括蛋白质基本氨基酸序列的鉴定到相关性状、修饰、功能及不同类型蛋白分子相互作用等等。本文简要介绍了蛋白质组学的产生背景,以及主要研究技术包括双向电泳(2D-PAGE)质谱、蛋白质芯片、酵母双杂交,并重点介绍了近期水稻蛋白质组学应用研究进展。     

Proteomic and genomic characterization of Kunitz trypsin inhibitors in wild and cultivated soybean genotypes

In this study, we investigated protein and genetic profiles of Kunitz trypsin inhibitors (KTIs) in seeds of 16 different soybean genotypes that included four groups consisting of wild soybean (Glycine soja), the cultivated soybean (G. max) ancestors of modern N. American soybean cultivars (old), modern N. American soybean (elite), and Asian cultivated soybean landraces that were the immediate results of domestication from the wild soybean. Proteins were well separated by two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and stained protein cut from a 2D-PAGE indicated that KTI exists as multiple isoforms (spots) in soybean. Protein spots of KTI were identified and characterized using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Although overall distribution patterns of the KTI protein spots appeared similar, the number and intensity of the protein spots between wild and cultivated genotypes varied. Three KTI peptides were identified in three of the wild genotypes, PI 393551, PI 407027 and PI 407282, in which KTI3 peptide showed highest intensity. The remaining wild genotype, PI 366120, showed four protein spots. In contrast, the ancestors, modern and Asian landrace genotypes showed only two protein spots corresponding to KTI. On the basis of DNA blot analysis, there is one copy of the KTI3 gene in all 16 genotypes. Polymorphism was detected in one of the wild genotypes (PI 366120) both in proteomic and genomic analyses. Our data suggest that the major variation of protein profiles were between wild and cultivated soybean genotypes rather than among genotypes in the same group. Genetic variation of KTI1, KTI2 and KTI3-related genes were detected within and between groups.