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Sub-proteome differential display: single gel comparison by 2D electrophoresis and mass spectrometry.

Two-dimensional (2D) gel electrophoresis and mass spectrometry (MS) have been used in comparative proteomics but inherent problems of the 2D electrophoresis technique lead to difficulties when comparing two samples. We describe a method (sub-proteome differential display) for comparing the proteins from two sources simultaneously. Proteins from one source are mixed with radiolabelled proteins from a second source in a ratio of 100:1. These combined proteomes are fractionated simultaneously using column chromatographic methods, followed by analysis of the pre-fractionated proteomes (designated sub-proteomes) using 2D gel electrophoresis. Silver staining and (35)S autoradiography of a single gel allows precise discrimination between members of each sub-proteome, using commonly available computer software. This is followed by MS identification of individual proteins. We have demonstrated the utility of the technology by identifying the product of a transfected gene and several proteins expressed differentially between two renal carcinoma proteomes. The procedure has the capacity to enrich proteins prior to 2D electrophoresis and provides a simple, inexpensive approach to compare proteomes. The single gel approach eliminates differences that might arise if separate proteome fractionations or 2D gels are employed.

Animals↗

Proteomic analysis of the brain in Alzheimer's disease: molecular phenotype of a complex disease process.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder accounting for about 50% of all dementias, yet its pathogenic mechanisms remain poorly understood. In order to provide a more complete picture of pathogenesis in AD, we analysed six human brain regions for alterations in their proteomes. Quantitative proteome analysis was used to compare signals corresponding to individual proteins between post mortem brain tissues from persons with AD, and those from age-matched nondemented control (NC) tissues. In severely injured brain regions, 76 proteins were differentially expressed in AD hippocampus compared with NC, 62 proteins were differentially expressed in temporal cortex, and 39 proteins were differentially expressed in entorhinal cortex. Significant differences were also present in relatively spared regions. Thus, 34 proteins were differentially expressed in AD cerebellum compared with NC, 125 proteins were differentially expressed in cingulate gyrus, and 75 proteins were differentially expressed in sensorimotor cortex. The identity of 37 of these proteins was determined, and the possible relevance of changes in key pathogenic pathways analysed. These studies provide a unique snapshot illustrating the complexity of interrelated disease mechanisms at work in a complex, multifactorial disease, and show that comparative proteome analysis is a method with the power to develop important new insights into pathogenic mechanisms in the dementias.

Alzheimer Disease↗

Proteomic characterization of acid stress response in Synechocystis sp. PCC 6803.

A comparative proteomic analysis using 2-DE coupled with MALDI-MS and LC-MS/MS was performed in Synechocystis sp. PCC 6803 to identify protein candidates involved in acid stress response in cyanobacteria. Comparison of soluble proteins from the cytoplasmic fraction of cells grown on media set at pH 7.5 and 5.5 using 2-DE identified four proteins, which showed significant changes in the abundance. Surprisingly, several general stress proteins, either the heat shock family proteins or chaperonins, did not show perceptible fold changes in response to acidity. Compared to the cytoplasmic proteome, the periplasmic proteome showed remarkable changes as a function of external pH. Protein expression profiling at different external pH, i.e., 9.0, 7.5, 6.0 and 5.5, allowed classifying the periplasmic proteins depending on their preferential expression patterns towards acidity or alkalinity. Among the acid- and base-induced proteins, oxalate decarboxylase and carbonic anhydrase were already known for their role in pH homeostasis. Several unknown proteins from the periplasm, that showed significant changes in response to pH, provide ideal targets for further studies in understanding pH stress response in cyanobacteria. This study also identified 14 novel proteins, hitherto unknown from the periplasmic space of Synechocystis.

Bacterial Proteins↗

Protein microarrays: challenges and promises.

Genomics and proteomics are playing increasingly important roles as discovery tools in basic biological sciences and as diagnostic and rational therapeutic aids in the clinical arena. In recent years, high-density arrays of specified DNA sequences have gained popularity. Protein microarrays are at the forefront of this biochip revolution and promise the parallel examination of large numbers of proteins. These miniaturized arrays are currently being developed to facilitate high analytical resolution, detection sensitivity and sample throughput. Many challenges are presented by proteome scale manipulation of proteins, as there is currently no methodological equivalent to the gene chip for comparative proteomics.

Humans↗

Plastid proteomics.

Plastids are essential organelles present in virtually all cells in plants and in green algae. The proteomes of plastids, and in particular of chloroplasts, have received significant amounts of attention in recent years. Various fractionation and mass spectrometry (MS) techniques have been applied to catalogue the chloroplast proteome and its membrane compartments. Neural network and hidden Markov models, in combination with experimentally derived filters, were used to try to predict the chloroplast subproteomes. Some of the many protein-protein interaction, as well as post-translational modifications have been characterized. Nevertheless, our understanding of the chloroplast proteome and its dynamics is very incomplete. Rapid improvements and wide-scale implementation of MS and new tools for comparative proteomics will undoubtedly accelerate this understanding in the near future. Proteomics studies often generate a large amount of data and these data are only meaningful if they can be easily accessed via the 'world-wide-web' and connected to other types of biological information. The plastid proteome data base (PPDB at http://www.ppdb.tc.cornell.edu/) and other web resources are discussed. This review will briefly summarize recent experimental and theoretical efforts, attempt to translate these data into the functions of the chloroplast and outline expectations and possibilities for (comparative) chloroplast proteomics.

Chloroplasts↗

Proteome analysis of bacterial pathogens.

Combining two-dimensional electrophoresis with mass spectrometry resulted in a powerful technology ideally suited to recognize and identify proteins of pathogenic microorganisms. This classical proteome analysis is now complemented by capillary chromatography/mass spectrometry combinations, miniaturization by chip technology and protein interaction investigations. Comparative proteomics is used to reveal vaccine candidates and pathogenicity factors. Immunoproteomics identifies specific and nonspecific antigens. For the management of the huge data amounts, bioinformatics is a valuable instrument for the construction of complex protein databases.

Animals↗

Divide and conquer: rat liver tissue proteomics based on the analysis of purified constituents.

Comparative proteome data of normal and diseased tissue samples are difficult to interpret. Proteins detected in tissues are derived from different cell types and blood constituents. Pathologic or toxicant-induced aberrations may affect the proteome profile of tissues in several ways since different cell types may respond in very different and highly specific manners. The aim of this study was to analyze the proteome profiles of purified rat liver primary cells and of blood plasma in comparison to liver whole tissue. Moreover, we investigated alterations of these profiles induced by the liver toxicant N-nitrosomorpholine (NNM) used as a model compound. Whole liver samples, pure hepatocytes and Kupffer cells as well as blood plasma were obtained from saline- or NNM-treated rats. Proteins were separated by 2-D PAGE and their amounts were estimated by fluorography. Selected proteins were identified by MS analysis of tryptic digests. Among them we identified proteins exclusively expressed in the analysed constituents. Several of these proteins were assigned in the proteome profile of whole-tissue homogenates. Furthermore, we identified several proteins that were modified, up-regulated or down-regulated due to NNM treatment in total liver homogenates. Some of these protein alterations were specifically detected in primary cells isolated from NNM-treated rats. Thus, we demonstrated the successful assignment of NNM-induced proteome alterations in rat liver to the cell type of origin. The currently applied approach may help to better understand pathologic processes at a whole-tissue level.

Animals↗

Proteomics-based analysis of the defense mechanisms of disease-resistant grass carp against Aeromonas veronii.

Sustainable aquaculture of grass carp (Ctenopharyngodon idella, GC) is consistently threatened by bacterial diseases, particularly those caused by Aeromonas veronii. A disease-resistant grass carp (DR-GC) has been developed by backcrossing female gynogenetic GC with normal male GC, exhibiting improved resistance. However, the systemic molecular mechanisms of DR-GC defending against Aeromonas veronii infection remain largely unexplored. Here, a label-free quantitative proteomics approach was employed to systematically compare proteomic profiles across five tissues (intestine, liver, muscle, skin, and kidney) in DR-GC and GC under healthy and infected conditions. The intestine was identified as the central defense tissue, exhibiting the highest number of differentially abundant proteins (DAPs). In DR-GC, A0A3N0YEK7 (small ribosomal subunit protein eS28), A0A3N0YGT8 (ATP synthase-coupling factor 6) and A0A3N0YNS7 (apolipoprotein A-I) were significantly upregulated in intestine, while D5KZW6 (GCHV-induced protein), A0A3N0Z0A1 and Q8JH84 (hemoglobin subunit alpha) were significantly dysregulated across multiple tissues, which playing the critical roles in defense mechanisms at the protein level. Furthermore, cytochrome P450-associated pathways, cytosolic DNA-sensing and RIG-I-like receptor signaling pathways were identified as crucial coordinators mediating immune and metabolic responses. This study provides the first comprehensive proteomic view of multi-tissue defense mechanisms in DR-GC, and identifies key DAPs and pathways for subsequent functional validation.

Animals↗

New mortalin and histidyl tRNA synthetase isoforms point out a pitfall in proteomic analysis of Egr1 genetically modified mice.

Egr1 (Zif268) is an immediate early gene encoding an inducible transcription factor involved in synaptic plasticity and several forms of memory in rodents. Using 2-DE and MS, we compared proteomes of hippocampal subregions and cortex in Egr1-deficient and wild-type littermates. Two significant differences were identified: a shift in the pI of the molecular chaperone mortalin (mtHsp70/PBP74/Grp75) and the apparent disappearance of histidyl tRNA synthetase (HisRS). We found that the pI shift for mortalin in Egr1-deficient mice was caused by a difference in protein sequence: D626G. Using cDNA sequencing, we demonstrated for both mortalin and HisRS that protein differences were not due to a lack of Egr1 but to DNA polymorphism between the C57Bl/6J and 129/Sv strains used to generate the Egr1-deficient mice. Our results show that mortalin and HisRS genes, which map closely to the Egr1 locus, have conserved the 129/Sv haplotype despite numerous back-crossing of the null mice progeny with C57Bl/6J animals. This demonstrates that allelic differences between mouse strains can introduce variations in differential proteomic analyses of genetically modified organisms. Finally, we report the identification of new isoforms of HisRS and mortalin (mot-3) encoded by the 129/Sv haplotype.

Amino Acid Sequence↗

Cobalt starvation affects multiple cellular processes in Desulfofundulus kuznetsovii TPOSR during alcohol oxidation.

Cobalt influences the methanol metabolism of Desulfofundulus kuznetsovii TPOSR, specifically by modulating the activity of one of its alcohol dehydrogenases (ADH), Adh1. However, the effects of cobalt on the broader proteome of strain TPOSR, as well as the utilization of alcohols besides methanol, remain unexplored. Here, proteomic analyses of strain TPOSR grown with and without cobalt on different alcohol substrates show that cobalt starvation impacts multiple cellular processes, including cobalamin biosynthesis, iron-sulphur cluster assembly and, most prominently, energy metabolism as indicated by altered abundances of hydrogenases and NAD(P)-dependent oxidoreductases. Despite the presence of six ADH-encoding genes in the genome, Adh1 is the dominant ADH during growth not only on methanol but also on several primary alcohols and diols (ethanol, 1-propanol, 1,2-propanediol, 1,3-propanediol, butanol, pentanol and heptanol). Enzymatic assays with purified Adh1 confirm activity with these substrates, except 1,3-propanediol, and show no activity toward secondary alcohols (2-propanol and 2-butanol). Comparative proteomics analyses of other sulphate-reducing microorganisms (SRMs), namely Desulfofundulus australicum and Solidesulfovibrio carbinolicus, further indicate that methanol and ethanol oxidation in SRMs is mediated by a single ADH/AOR pair. Together, these findings highlight the central role of cobalt in alcohol metabolism in strain TPOSR and identify conserved ADH/AOR enzymes as promising candidates for biotechnological applications.

Cobalt↗

Proteomic analysis identifies alterations in cellular morphology and cell death pathways in mouse brain after chronic corticosterone treatment.

Some patients with Major Depression and other neurological afflictions display hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis. HPA hyperactivity may be due to impaired feedback inhibition and manifested as increased levels of circulating cortisol. Subcutaneous implants of corticosterone pellets were used to mimic this situation in mice to gain insight into any effects on brain function by comparative proteomic analysis using two-dimensional Differential In-Gel Electrophoresis. A total of 150 different protein spots were altered by corticosterone treatment in the hypothalamus, hippocampus and cerebral cortex. Of these, 117 spots were identified by matrix-assisted laser desorption/ionization-time of flight mass fingerprinting equating to 51 different proteins. Association of these corticosterone-modulated proteins with biological functions using the Ingenuity Pathways Analysis tool showed that cell morphology was significantly altered in the hippocampus and cerebral cortex, whereas the hypothalamus showed significant changes in cell death. Ingenuity Pathways Analysis of the canonical signaling pathways showed that glycolysis and gluconeogenesis were altered in the hypothalamus and the hippocampus and all three brain regions showed changes in phenylalanine, glutamate and nitrogen metabolism. Further elucidation of these pathways could lead to identification of biomarkers for the development of pharmacological therapies targeted at neuropsychiatric disorders.

Animals↗

Origin of magnetosome membrane: proteomic analysis of magnetosome membrane and comparison with cytoplasmic membrane.

Prokaryotes are known to have evolved one or more unique organelles. Although several hypotheses have been proposed concerning the biogenesis of these intracellular components, the majority of these proposals remains unclear. Magnetotactic bacteria synthesize intracellular magnetosomes that are enclosed by lipid bilayer membranes. From the identification and characterization of several surface and transmembrane magnetosome proteins, we have postulated that magnetosomes are derived from the cytoplasmic membrane (CM). To confirm this hypothesis, a comparative proteomic analysis of the magnetosome membrane (MM) and CM of the magnetotactic bacterium, Magnetospirillum magneticum AMB-1, was undertaken. Based on the whole genome sequence of M. magneticum AMB-1, 78 identified MM proteins were also found to be prevalent in the CM, several of which are related to magnetosome biosynthesis, such as Mms13, which is tightly bound on the magnetite surface. Fatty acid analysis was also conducted, and showed a striking similarity between the CM and MM profiles. These results suggest that the MM is derived from the CM.

Bacterial Outer Membrane Proteins↗

Spot volume vs. amount of protein loaded onto a gel: a detailed, statistical comparison of two gel electrophoresis systems.

The long-term goal of this research program is to clarify the molecular mechanisms that participate in the formation of human pituitary macroadenomas. One approach to that goal is to characterize the differentially expressed proteins that are found by a comparison of the proteomes of control pituitary vs. macroadenoma tissues. In order to accurately perform a comparative proteomics study, based on the combination of two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and PDQuest 2-D analysis software, a reproducible 2-DE separation system with a wide linear dynamic measure range is needed. A typical horizontal system is the Multiphor II system that analyzes one gel at a time, using a precast gradient gel (180 x 245 x 0.5 mm); a typical vertical system is the Dodeca system that analyzes up to 12 gels at a time on a single-concentration gel (190 x 205 x 1.0 mm). We have evaluated (Zhan and Desiderio, Electrophoresis 2003, 24, 1834-1846) the spatial and quantitative reproducibility of the two second-dimensional gel systems to separate a human pituitary proteome; that study showed a higher reproducibility for the Dodeca gel system. This present study investigated the relationship between the spot volume and the amount of protein loaded onto the gel for those two 2-D systems. The results demonstrated that the Dodeca gel system provides a wider linear dynamic range to measure the changes in the protein abundance in pituitary proteome.

Electronic Data Processing↗

[A preliminary proteomic analysis of tauopathies].

OBJECTIVE: To investigate the molecular mechanisms of tauopathies. Comparative proteomic analysis of brain proteins was employed to study 4 patients with tauopathies as compared with 4 controls. METHODS: The brains of subjects who died without clinical or pathological involvement of nervous system and brains of patients with tauopathies were obtained at autopsy. The brain proteins were run by immobilized pH gradient (IPG) isoelectric focusing electrophoresis as the first dimension, and then run by vertical SDS-PAGE as the second dimension. The maps were visualized by silver staining or colloidal coomassie blue and analyzed with Image Master 2D Elite software. The proteins of interest were in-gel digested and identified using MALDI-TOF mass spectrometry or MALDI-TOF/TOF tandem mass spectrometry. RESULTS: 18 protein spots were differentially expressed as compared with age-matched nondemented control brains which were identified as glyceraldehyde 3-phosphate dehydrogenase, uracil DNA glycosylase, human superoxide dismutase, isocitrate dehydrogenase subunit, synaptotagmin I, thioredoxin peroxidase 1, glial fibrillary acidic protein, p25 alpha, enoyl coenzyme A hydratase short chain 1, pyridoxine-5'-phosphate oxidase, Mn-superoxide dismutase and alpha enolase, antioxidant protein 2, ferritin heavy chain, glutamate dehydrogenase precursor, peptidyl-prolyl cis-trans isomerase A, serum albumin precursor and dihydropyrimidinase-related protein 2. CONCLUSIONS: We got a number of related-proteins of tauopathies. Some proteins are quite useful for discovering the molecular mechanisms of tauopathies and may be helpful for diagnosis and of treatment tauopathies.

Aged↗

[Proteomic analysis on metastasis-associated proteins of hepatocellular carcinoma tissues].

OBJECTIVE: A comparative proteomic approach was used to identify and analyze proteins relevant to metastasis of hepatocellular carcinoma (HCC). METHODS: Proteins extracted from 12 liver tumor tissue specimens (6 with metastases and 6 without) were separated by two-dimensional gel electrophoresis (2-DE). Comparative analyses of 2-DE protein patterns between the two groups were done using computerized image analysis. Selected proteins exhibiting statistically significant alternations were identified by mass spectrometry. Immunohistochemistry, Western blotting and RT-PCR were performed to examine the expressions of the candidate proteins. RESULTS: 16 proteins including HSP27, S100A11, CK18 were identified using mass spectrometry, which were related to cell mobility, signal transduction, and energy metabolism respectively. Of these, HSP27 was found to be uniquely over-expressed in 2-DE maps of all metastatic HCCs when compared to the non-metastatic HCC tissues. Immunohistochemistry and Western blotting of HCC tissues confirmed this difference while RT-PCR did not. CONCLUSION: There are different proteins working together that affect the metastasis of HCCs. The overexpression of HSP27 may serve as a biomarker for early detection and therapeutic targets to the metastatic phenotype of HCC. The role of HSP27 in HCC metastasis warrants further investigation.

Carcinoma, Hepatocellular↗

The differential proteome profile of stomach cancer: identification of the biomarker candidates.

By comparative proteome analysis we searched for characteristic alterations of human stomach adenocarcinoma tissue and paired surrounding normal tissue. Selected differential protein spots were identified with peptide mass fingerprinting based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) and database searching. We identified protein alterations in 18 stomach cancer tissues compared with normal controls, comprising elevated levels of eight proteins, including 14-3-3 zeta, calcyclin, keratin, apolipoprotein A-1 precursor, proteasome activator complex subunit, nucleoside diphosphate kinase, nicotinamide N-methyltransferase, and pyridoxal kinase. Five proteins (CA11, prohibitin, peroxiredoxin 4, serum amyloid P component, and NADH-ubiquinone oxidoreductase 23 kDa subunit) were decreased. These data are valuable for identification of differentially expressed proteins involved in stomach cancer carcinogenesis, providing biomarker candidates to develop diagnostic and therapeutic tools.

Adult↗

An efficient endogenous type I-E CRISPR-Cas genome-editing platform for producing transglutaminase in Streptomyces mobaraensis.

Streptomyces mobaraensis is an industrially important actinomycete capable of producing transglutaminase (TGase), a valuable crosslinking enzyme that is widely used in the food, pharmaceutical, and textile industries. However, its genetic manipulation remains challenging owing to the lack of efficient genome-editing tools. Here, we characterized an endogenous type I-E CRISPR-Cas system in S. mobaraensis IPIO2 through bioinformatics analysis and plasmid interference assays, identifying the protospacer adjacent motif as 5'-AAC-3'. We engineered an artificial editing plasmid, pCRISPR, by inserting a mini-CRISPR array (repeat-spacer-repeat) and homologous recombination repair templates into the replicative plasmid pJTU1278. This system exhibited high editing efficiencies, achieving 70% for single-gene deletions and 75-80% for large DNA fragment deletions ranging from 10 to 40 kb. Based on this system, deletion of four genes consistently downregulated during TGase production, identified through comparative proteomics, enhanced TGase production by 8.5-18.5%. Furthermore, deleting the pseudouridimycin and piericidin A1 biosynthetic gene clusters using this system significantly improved the safety profile of TGase production, resulting in a 17% increase in TGase yield. This study established a robust and efficient endogenous CRISPR-Cas-based genome-editing platform in S. mobaraensis, providing a powerful tool for strain engineering and industrial optimization of TGase production.

Comparative proteomics↗

A hybrid LC-Gel-MS method for proteomics research and its application to protease functional pathway mapping.

Two-dimensional (2D) gel electrophoresis is the most common protein separation method in proteomics research. It can provide high resolution and high sensitivity. However, 2D gel methods have several limitations, such as labor-intensive procedures, poor reproducibility, and limited dynamic range of detection. In fact, many investigators have returned to couple the one-dimensional (1D) SDS-PAGE with mass spectrometry for protein identification. The limitation of this approach is the increased protein complexity in each one-dimensional gel band. To overcome this problem and provide reproducible quantitative information, we describe here a 2D method for protein mixture separation using a combination of high performance liquid chromatography (HPLC) and 1D SDS-PAGE. The study shows that the step-gradient fractionation method we have applied provides excellent reproducibility. In addition, high mass accuracy of LC-FTICR-MS can allow more confident protein identifications by high resolution and ultra-high mass measurement accuracy. This approach was applied to comparative proteomics since protein abundance level changes can be easily visualized with side-by-side vertical comparison in one gel. Furthermore, separation of multi-samples in the same gel significantly reduces run-to-run variation, as is shown with differential image gel electrophoresis (DIGE). Finally, this approach readily incorporates immunological methods to normalize relative abundances of multiple samples within a single gel. This paper presents the results of our developments and our initial application of this strategy for mapping protease function of beta amyloid cleaving enzyme (BACE) in biological systems.

Amyloid Precursor Protein Secretases↗