Alternative and effective proteomic analysis in Arabidopsis

Various functional genomics platforms are required to define the phenotype associated with a mutant. Global protein analyses may be included in any study. We describe here a rapid method of protein sample preparation and analysis, suitable for all laboratories and using Arabidopsis plantlets as the starting material. This reliable and reproducible method for high yield protein extraction from small amounts of material can be used on even the most recalcitrant tissues. The proteins extracted are suitable for many types of protein analysis, including nondenaturing investigations. This method was validated by a rigorous 2-DE approach, coupled with unambiguous LC-MS/MS identifications featuring strong sequence coverage (average of 26% with eight different peptides/spot protein). The reproducibility of the method was demonstrated by multiple protein identifications from identical series of spots. An interactive map (http://www.isv.cnrsgif.fr/gel2d/), including 435 protein variants showed that (i) 38% of the proteins were yet unreported, (ii) reduced subfractionation, (iii) had frequent protein modifications (average of two spots/protein entry), and (iv) underwent no major proteolytic events other than leader peptide cleavage. Finally, a simple mobility shift method for the large subunit of RuBisCo (LS) in the first dimension made it possible to characterize previously masked protein spots.     

Characterisation of organellar proteomes: a guide to subcellular proteomic fractionation and analysis

Subcellular fractionation is being widely used to increase our understanding of the proteome. Fractionation is often coupled with 2-DE, thus allowing the visualisation of proteins and their subsequent identification and characterisation by MS. Whilst this strategy should be effective, to date, there has been little or no consideration given to differences in the mass, pI, hydropathy or abundance of proteins in the organelles and how analytical strategies can be tailored to match the idiosyncrasies of proteins in each particular compartment. To address this, we analysed 3962 Saccharomyces cerevisiae proteins, previously localised to one or more of 22 subcellular compartments. Different compartments showed significantly different distributions of protein pI and hydropathy. Mitochondrial and ER proteins showed the most dramatic differences to other organelles, in their protein pIs and hydropathy, respectively. We show that organelles can be clustered by similarities in these physicochemical protein characteristics. Interestingly, the distribution of protein abundance was also significantly different between many organelles. Our results show that to fully explore subcellular fractions of the proteome, specific analytical strategies should be employed. We outline strategies for all 22 subcellular compartments.     

Search for the tumor-related proteins of transition cell carcinoma in Taiwan by proteomic analysis

To better understand the carcinogenesis of bladder cancer in Taiwan, we utilized the proteomic approach to search for potential biomarkers of transitional cell carcinoma (TCC). Analysis by 2-DE and MS/MS indicated that seven proteins are down-regulated and three proteins up-regulated in grade III samples as compared with those of grade II. Of these deregulated proteins, fatty acid binding proteins, annexin V, heat-shock protein 27, and lactate dehydrogenase have been shown to be associated with bladder cancer. Our studies also found altered expression of a group of proteins that have not been documented previously in bladder cancer, including annexin I, 15-hydroxyprostaglandin dehydrogenase, galectin-1, lysophospholipase and mitochondrial short-chain enoyl-coenzyme A hydratase 1 precursor. These results illustrate a pattern of differential protein expression between low- and high-grade tumors and it may be utilized as the molecular fingerprinting of a subset of bladder cancers. In addition, the present study provides a valuable resource in the study of pathological mechanisms in cancers of urothelial origin. The immunohistochemical staining of grade II and III TCC samples with antiserum to annexin I protein was utilized to confirm that the annexin I protein is up-regulated in grade III TCC.     

A comprehensive evaluation of imidazole‐zinc reverse stain for current proteomic researches

In this paper, we comprehensively evaluated the capability of imidazole‐zinc reverse stain (ZN) in comparative proteomics. Three commonly used protein gel staining methods, including silver (SN), SYPRO Ruby (SR), and CB stain were investigated alongside for comparison purpose. A transparency scanning procedure, which may deliver more even and contrasting gel images, was found best for documenting ZN stained gels. Our results showed that ZN was more sensitive than SN, SR, and CB. It may reveal as few as 1.8 ng of proteins in a gel. Moreover, ZN was found to provide a linear dynamic range of staining for revealing proteins up to 140 ng, and show an insignificant staining preference. To analyze a ZN stained 2‐D gel image that generally comprises an apparent but even background, the Melanie 4 software was found more suitable than others. Furthermore, ZN demonstrated an equivalent or better MS compatibility than the other three staining methods. Intense and comprehensive MS profiles were frequently observed for ZN stained gel spots. Approximate two‐third of ZN stained gel spots were successfully identified for protein identities. Taken together, our results suggest that the prompt, cost effective and versatile ZN is well suited for current proteomic researches.     

Evaluation of two sample preparation methods for prostate proteome analysis

For laboratory techniques that require well-preserved proteins, such as 2-DE, fresh tissue must be harvested and processed as fast as possible to avoid proteolytic degradation. We describe a modified method for harvesting tissue from radical prostatectomy specimens for proteome analysis and compare it with the standard technique. Cells were scraped from cut surfaces of 11 prostate specimens. A fraction of the material was smeared on a glass slide and Giemsa stained for morphological control. The sample was collected in a medium with protease inhibitors, and the protein material was prepared for 2-DE. Filtering and Percoll centrifugation were omitted. Sample locations were noted on a specimen map. From the same area, a tissue block was harvested for comparison. The block was processed with the conventional technique including mechanical disintegration, filtering and Percoll centrifugation. Quality measures of 2-DE were similar with both methods. With the scrape sampling technique, control smears showed abundant epithelial cells and a cleaner background and processing was faster than with tissue block sampling. For proteomic analysis, the scrape sample technique has several advantages over the tissue block method.     

Quantitative phosphoproteomics reveals link between Helicobacter pylori infection and RNA splicing modulation in host cells

The Gram-negative, spiral-shaped bacterium Helicobacter pylori is a common human pathogen that causes chronic inflammation of the human gastric mucosa, leading to peptic ulceration and/or gastric cancer. Here, we analyzed changes in the phosphoproteome of gastric epithelial cells (AGS) upon infection with H. pylori using a combination of SILAC, phosphoprotein enrichment, 2-DE, and MALDI TOF/TOF-MS. From a total of 526 spots we identified 391 protein species (143 proteins) and quantified 332 (127 proteins). Nearly, one-third of the identified proteins (40/143) were associated with the spliceosome or RNA splicing. The abundance of 20 proteins was altered by H. pylori infection, in particular, a number of serine arginine-rich (SR) proteins involved in the regulation and control of alternative splicing. Importantly, the combined methodologies enabled the detection of infection-dependent protein species-specific regulation, suggesting functional modulation of individual protein species. These findings reveal unexpected new insights into the mechanisms of host cell manipulation by H. pylori, which are likely associated with gastric pathologies, including gastric cancer.     

Fluoroprofile, a fluorescence-based assay for rapid and sensitive quantitation of proteins in solution

The development of a sensitive fluorescence-based assay for the quantitative determination of protein concentration is described. The assay is based on the natural product epicocconone, which produces a large increase in fluorescence quantum yield upon binding to detergent-coated proteins in solution. There is a concomitant shift in the emission maximum from 520 to 605 nm after binding, which results in low background signal allowing a linear dynamic range of 40 ng/mL to 200 microg/mL for most proteins. There is little protein-to-protein variation except for iron-containing proteins and the assay can be used so that it is tolerant of chemicals commonly used in 2-D sample buffers. The assay is more sensitive than standard absorption assays such as the Bradford and Lowry assays, and has a greater dynamic range and sensitivity than other fluorescent assays.     

Two‐dimensional gel electrophoresis of gastric tissue in an alkaline pH range

2DE in combination with MS has facilitated the discovery of several proteins with altered abundance in gastric cancer. While acidic and wide pH ranges have been widely investigated, analysis in the alkaline pH range has not been specifically performed in gastric cancer to date. In the present study, we initially optimized the 2DE in alkaline pH range (pH 7–11) for gastric tissue samples. Using a modified lysis buffer, we analyzed pooled nontumor and tumor samples for proteins with altered abundance in gastric adenocarcinoma. We successfully identified 38 silver‐stained spots as 24 different proteins. Four of these were chosen for investigation with immunoblotting on individual paired samples to determine whether the changes seen in 2DE represent the overall abundance of the protein or possibly only a single form. While mitochondrial trifunctional protein (MTP) subunits were decreased in 2DE gels, immunoblotting identified their overall abundance as being differently dysregulated: in the gastric tumor samples, the MTP‐α subunit was decreased, and the MTP‐β subunit was increased. On the other hand, heterogenous nuclear ribonucleoprotein M and galectin‐4 were increased in the gastric tumor samples in both 2DE and immunoblotting.     

Quantitative proteomic comparison of mouse peroxisomes from liver and kidney

The peroxisome plays a central role in the catabolic and anabolic pathways that contribute to the lipid homeostasis. Besides this main function, this organelle has gained functional diversity. Although several approaches have been used for peroxisomal proteome analysis, a quantitative protein expression analysis of peroxisomes from different tissues has not been elucidated yet. Here, we applied a 2-DE-based method on mouse liver and kidney peroxisomal enriched fractions to study the tissue-dependent protein expression. Ninety-one spots were identified from the 2-DE maps from pH 3.0-10.0 and 51 spots from the basic range corresponding to 31 peroxisomal proteins, 10 putative peroxisomal, 6 cytosolic, 17 mitochondrial and 1 protein from endoplasmic reticulum. Based on the identification and on the equivalent quality of both tissue preparations, the differences emerging from the comparison could be quantified. In liver, proteins involved in pathways such as alpha- and beta-oxidation, isoprenoid biosynthesis, amino acid metabolism and purine and pyrimidine metabolism were more abundant whereas in kidney, proteins from the straight-chain fatty acid beta-oxidation were highly expressed. These results indicate that tissue-specific functional classes of peroxisomal proteins could be relevant to study peroxisomal cellular responses or pathologies. Finally, a web-based peroxisomal proteomic database was built.     

Identification of elicitor‐responsive proteins in rice leaves by a proteomic approach

Experiments were conducted to identify the differentially expressed proteins in rice (Oryza sativa L.) plants after treatment with the glycoprotein elicitor CSB I, purified from ZC₁₃, a race of the rice blast fungus Magnaporthe grisea. The interactions of two near isogenic lines of rice, C101A51 and CO39, with ZC₁₃ resulted in completely incompatible and compatible types, respectively. Proteins were extracted from rice leaves at 12 and 24 h after treatment with CSB I. Temporal changes in total proteins were examined using 2‐DE. Among more than 900 protein spots reproducibly detected on each gel, 11 were up‐regulated, three were down‐regulated and seven were newly induced during, at a minimum, one time point. Twenty‐one differentially expressed proteins were identified by linear ion trap quadrupole (LTQ)‐MS/MS. The identified proteins were classified into six categories based on their putative function reported: (i) defense proteins (PR‐10a, PR‐5 and putative salt‐induced protein), (ii) signal transduction (nucleoside diphosphate kinase and putative profilin), (iii) ROS (Mn‐SOD, Cu/Zn‐SOD, GST and CAT), (iv) programmed cell death (translationally controlled tumor protein), (v) molecule biosynthesis (putative ribosomal protein S5, putative ribosomal protein L12, putative translational elongation factor Tu and putative chaperonin 21 precursor) and (vi) metabolism (putative fructose‐bisphosphate aldolase class‐I, putative malate dehydrogenase, cytoplasmic malate dehydrogenase, putative acid phosphatase, putative transketolase1 and gamma hydroxybutyrate dehydrogenase‐like protein). All of these proteins (except Cu/Zn‐SOD, putative acid phosphatase and translationally controlled tumor protein) were induced faster and to a higher degree in C101A51 than in CO39. These data suggest that the incompatible rice line may possess a more sensitive recognition system that can identify and react to specific chemical, biological or physical triggers in a more efficient manner, thus eliciting an early and fast defense response.     

Quantitative proteomic analysis of lentiviral vectors using 2‐DE

Among the integrative gene therapy vectors developed to date, human immunodeficiency virus type 1 (HIV‐1)‐derived lentiviral vectors (LV) are distinguished by their capacity to infect both dividing and non‐dividing cells. Recombinant LV particles contain viral proteins necessary for their packaging, infectious and integrating functions. Like the parental HIV‐1 virus they are able to acquire various cellular proteins, but the number and localisation of these proteins are poorly characterised. In the present study we used 2‐DE followed by MALDI‐TOF to quantify the protein content of several types of vesicular stomatitis virus G‐pseudotyped LV including those that were extensively purified in the perspective of clinical gene therapy studies. A proteinase K treatment was used to distinguish between cellular proteins incorporated into virions (I‐proteins) and those co‐purified with vectors (C‐proteins). We found 10 C‐proteins and 18 I‐proteins associated with LV. Copy numbers for these core I‐proteins varied from 5 (AIP‐1/ALIX) to 280 (Cyclophilin A) per vector particle. Three novel I‐proteins, guanine nucleotide‐binding protein 2, L‐lactate dehydrogenase B chain and hnRNP core protein A1, were found. This study defines for the first time, the protein stoichiometry of infectious HIV‐1‐derived LV particles.     

1st Irish proteomics workshop April 17th 2008, University College Dublin, Conway Institute, Dublin, Ireland

The workshop assembled an excellent collection of speakers from across Ireland and beyond who presented many interesting and diverse topical issues. Various proteomic applications were discussed throughout the day ranging from 2-DE and 2-D DIGE, to GeLC-MS/MS, high density Protein and Antibody Arrays, with a particular focus on the importance of quantitative mass spectrometry in proteomics.     

Establishment of a 2-D human urinary proteomic map in IgA nephropathy

Immunoglobulin A nephropathy (IgAN) is the most common form of immune complex-mediated glomerulonephritis worldwide. Although chronic renal failure develops in considerable numbers of IgAN patients, the exact etiology has not yet been clearly elucidated. To establish the urinary protein map of IgAN, we performed a urinary proteomic analysis. Thirteen patients with IgAN and 12 normal controls were recruited. Morning midstream spot urine samples were used with Centriprep ultrafiltration for concentration and desalting. 2-DE was performed and compared between IgAN and normal control, and urinary proteins were identified by MALDI-TOF MS. A large number of protein spots were identified in IgAN and normal control samples, with means of 311 spots and 174 spots, respectively. Approximately 216 protein spots were detected as differentially expressed in IgAN. Among these, 82 spots were over-expressed, and 134 spots were under-expressed compared to normal controls. A total of 84 differentially expressed spots, representing 59 different proteins, were finally identified in IgAN. We have established a urinary proteomic map of IgAN and this result helps in the identification. Further study is needed to determine the potential pathogenic role of these proteins.     

Proteomic profiling of the prechylomicron transport vesicle involved in the assembly and secretion of apoB‐48‐containing chylomicrons in the intestinal enterocytes

Intracellular assembly of chylomicrons (CM) occurs in intestinal enterocytes through a series of complex vesicular interactions. CM are transported from the ER to the Golgi using a specialized vesicular compartment called the prechylomicron transport vesicle (PCTV). In this study, PCTVs were isolated from the enteric ER of the Syrian Golden hamster, and characterized using 2‐DE and MS. Proteomic profiles of PCTV‐associated proteins were developed with the intention of identifying proteins involved in the formation, transport, lipidation, and assembly of CM particles. Positively identified proteins included those involved in lipoprotein assembly, namely microsomal triglyceride transfer protein and apolipoprotein B‐48, as well as proteins involved in vesicular transport, such as Sar1 and vesicle‐associated membrane protein 7. Other groups of proteins found were chaperones, intracellular vesicular trafficking proteins, fatty acid‐binding proteins, and lipid‐related proteins. These findings have increased our understanding of the transport vesicle involved in the intracellular assembly and transport of CM and can provide insight into potential cellular factors responsible for dysregulation of intestinal CM production.     

Discovering robust protein biomarkers for disease from relative expression reversals in 2-D DIGE data

This study assesses the ability of a novel family of machine learning algorithms to identify changes in relative protein expression levels, measured using 2-D DIGE data, which support accurate class prediction. The analysis was done using a training set of 36 total cellular lysates comprised of six normal and three cancer biological replicates (the remaining are technical replicates) and a validation set of four normal and two cancer samples. Protein samples were separated by 2-D DIGE and expression was quantified using DeCyder-2D Differential Analysis Software. The relative expression reversal (RER) classifier correctly classified 9/9 training biological samples (p<0.022) as estimated using a modified version of leave one out cross validation and 6/6 validation samples. The classification rule involved comparison of expression levels for a single pair of protein spots, tropomyosin isoforms and alpha-enolase, both of which have prior association as potential biomarkers in cancer. The data was also analyzed using algorithms similar to those found in the extended data analysis package of DeCyder software. We propose that by accounting for sources of within- and between-gel variation, RER classifiers applied to 2-D DIGE data provide a useful approach for identifying biomarkers that discriminate among protein samples of interest.     

Differential proteomic analysis of proteins in wheat spikes induced by Fusarium graminearum

Scab, caused by Fusarium graminearum, is a serious spike disease in wheat. To identify proteins in resistant wheat cultivar Wangshuibai induced by F. graminearum infection, proteins extracted from spikes 6, 12 and 24 h after inoculation were separated by 2-DE. Thirty protein spots showing 3-fold change in abundance when compared with treatment without inoculation were characterized by MALDI-TOF MS and matched to proteins by querying the mass spectra in protein databases or the Triticeae EST translation database. Based on their volume profiles, these proteins were classified into four categories. The first one fell off rapidly at the initial inoculation and then rose at 12 or 24 hai, the second one decreased considerably after inoculation and remained at low level, the third one rose at the initial inoculation and then declined at 12 or 24 hai, the forth one showed steady increase after inoculation and maintained at a high level. Many of the proteins identified in the first two categories are related to carbon metabolism and photosynthesis. While most of proteins identified in the last two categories are related to stress defense of plants, indicating that proteins associated with the defense reactions were activated or translated shortly after inoculation.     

Zinc adaptation and resistance to cadmium toxicity in mammalian cells: molecular insight by proteomic analysis

To identify proteins involved in cellular adaptive responses to zinc, a comparative proteome analysis between a previously developed high zinc- and cadmium-resistant human epithelial cell line (high zinc-resistant HeLa cells, HZR) and the parental HeLa cells has been carried out. Differentially produced proteins included cochaperones, proteins associated with oxido-reductase activities, and ubiquitin. Biochemical pathways to which these proteins belong were probed for their involvement in the resistance of both cell lines against cadmium toxicity. Among ER stressors, thapsigargin sensitized HZR cells, but not HeLa cells, to cadmium toxicity more acutely than tunicamycin, implying that these cells heavily relied on proper intracellular calcium distribution. The similar sensitivity of both HeLa and HZR cells to inhibitors of the proteasome, such as MG-132 or lactacystin, excluded improved proteasome activity as a mechanism associated with zinc adaptation of HZR cells. The enzyme 4-hydroxyphenylpyruvate dioxygenase (HPPD) was overproduced in HZR cells as compared to HeLa cells. It transforms HPP to homogentisate in the second step of tyrosine catabolism. Inhibition of HPPD decreased the resistance of HZR cells against cadmium, but not that of HeLa cells, suggesting that adaptation to zinc overload and increased HPP removal are linked in HZR cells.     

Proteomic analysis in human breast cancer: identification of a characteristic protein expression profile of malignant breast epithelium

Gene expression analysis has become a promising tool in predicting the clinical course of malignant disease and the response to antineoplastic therapy. Surprisingly, only little is known about the protein expression pattern of human tumors. Recent advances in proteomic analysis allow proteins of interest to be identified by their expression and/or modification pattern in 2-DE rather than using the traditional approach of translating gene expression data. To identify a proteomic pattern that is characteristic for malignant breast epithelium, we performed differential 2-DE analysis in sets of microdissected malignant breast epithelia and corresponding adjacent normal breast epithelia from five patients with invasive breast carcinoma. Thirty-two protein spots were found to be selectively regulated in malignant epithelium, and were subjected to MALDI-TOF and/or immunoblotting for protein identification. Thirteen of the identified proteins had previously not been associated with breast cancer. The validity of these findings was confirmed by literature review and immunohistochemistry for identified proteins in an independent cohort of 50 breast cancer specimens. We here describe, for the first time, a proteomic analysis of matched normal and malignant epithelia from invasive breast carcinomas. This strategy leads to a better understanding of oncogenesis at an operational level and helps to characterize the malignant phenotype of individual tumors, and thereby to identify novel targets for antineoplastic therapy.