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A strategy to retrieve the whole set of protein modules in microbial proteomes.

Protein homology is often limited to long structural segments that we have previously called modules. We describe here a suite of programs used to catalog the whole set of modules present in microbial proteomes. First, the Darwin AllAll program detects homologous segments using thresholds for evolutionary distance and alignment length, and another program classifies these modules. After assembling these homologous modules in families, we further group families which are related by a chain of neighboring unrelated homologous modules. With the automatic analysis of these groups of families sharing homologous modules in independent multimodular proteins, one can split into their component parts many fused modules and/or deduce by logic more distant modules. All detected and inferred modules are reassembled in refined families. These two last steps are made by a unique program. Eventually, the soundness of the data obtained by this experimental approach is checked using independent tests. To illustrate this modular approach, we compared four proteobacterial proteomes (Campylobacter jejuni, Escherichia coli, Haemophilus influenzae, and Helicobacter pylori). It appears that this method might retrieve from present-day proteins many of the modules which can help to trace back ancient events of gene duplication and/or fusion.

Bacterial Proteins↗

Proteomic identification of a stress protein, mortalin/mthsp70/GRP75: relevance to Parkinson disease.

Functional impairment of mitochondria and proteasomes and increased oxidative damage comprise the main pathological phenotypes of Parkinson disease (PD). Using an unbiased quantitative proteomic approach, we compared nigral mitochondrial proteins of PD patients with those from age-matched controls. 119 of 842 identified proteins displayed significant differences in their relative abundance (increase/decrease) between the two groups. We confirmed that one of these, mortalin (mthsp70/GRP75, a mitochondrial stress protein), is substantially decreased in PD brains as well as in a cellular model of PD. In addition, nine candidate mortalin-binding partners were identified as potential mediators of PD pathology. Manipulations of mortalin level in dopaminergic neurons resulted in significant changes in sensitivity to PD phenotypes via pathways involving mitochondrial and proteasomal function as well as oxidative stress.

Age Factors↗

Quantitative comparison of proteomic data quality between a 2D and 3D quadrupole ion trap.

A 2D ion trap has a greater ion trapping efficiency, greater ion capacity before observing space-charging effects, and a faster ion ejection rate than a traditional 3D ion trap mass spectrometer. These hardware improvements should result in a significant increase in protein identifications from complex mixtures analyzed using shotgun proteomics. In this study, we compare the quality and quantity of peptide identifications using data-dependent acquisition of tandem mass spectra of peptides between two commercially available ion trap mass spectrometers (an LTQ and an LCQ XP Max). We demonstrate that the increased trapping efficiency, increased ion capacity, and faster ion ejection rate of the LTQ results in greater than 5-fold more protein identifications, better identification of low-abundance proteins, and higher confidence protein identifications when compared with a LCQ XP Max.

Amino Acid Sequence↗

Integration of proteomics and genomics in platelets: a profile of platelet proteins and platelet-specific genes.

Platelets, while anucleate, contain RNA, some of which is translated into protein upon activation. Hypothesising that the platelet proteome is reflected in the transcriptome, we identified 82 proteins secreted from activated platelets and compared these, as well as published proteomic data, to the transcriptional profile. We also compared the transcriptome of platelets to other tissues to identify platelet-specific genes and used ontology to determine gene categories over-represented in platelets. RNA was isolated from highly pure platelet preparations for hybridization to Affymetrix oligonucleotide arrays. We identified 2,928 distinct messages as being present in platelets. The platelet transcriptome was compared with the proteome by relating both to UniGene clusters. Platelet proteomic data correlated well with the transcriptome, with 69% of secreted proteins detectable at the mRNA level, and similar concordance was obtained using two published datasets. While many of the most abundant mRNAs are for known platelet proteins, messages were detected for proteins not previously reported in platelets. Some of these may represent residual megakaryocyte messages; however, proteomic analysis confirmed the expression of many previously unreported genes in platelets. Transcripts for well-described platelet proteins are among the most platelet-specific messages. Ontological categories related to signal transduction, receptors, ion channels, and membranes are over-represented in platelets, while categories involved in protein synthesis are depleted. Despite the absence of gene transcription, the platelet proteome is mirrored in the transcriptome. Conversely, transcriptional analysis predicts the presence of novel proteins in the platelet. Transcriptional analysis is relevant to platelet biology, providing insights into platelet function and the mechanisms of platelet disorders.

Blood Platelets↗

Comparative genomics: prediction of the ciliary and basal body proteome.

Defects in mammalian cilia lead to a range of diseases, but our understanding of the composition of these organelles and of the basal bodies from which they arise is limited. Two recent studies used comparative genomics to predict the ciliary and basal body proteomes, providing datasets that are rich sources of human disease gene candidates.

Animals↗

Disease-specific alterations in frontal cortex brain proteins in schizophrenia, bipolar disorder, and major depressive disorder. The Stanley Neuropathology Consortium.

Severe psychiatric disorders such as schizophrenia, bipolar disorder and major depressive disorder are brain diseases of unknown origin. No biological marker has been documented at the pathological, cellular, or molecular level, suggesting that a number of complex but subtle changes underlie these illnesses. We have used proteomic technology to survey postmortem tissue to identify changes linked to the various diseases. Proteomics uses two-dimensional gel electrophoresis and mass spectrometric sequencing of proteins to allow the comparison of subsets of expressed proteins among a large number of samples. This form of analysis was combined with a multivariate statistical model to study changes in protein levels in 89 frontal cortices obtained postmortem from individuals with schizophrenia, bipolar disorder, major depressive disorder, and non-psychiatric controls. We identified eight protein species that display disease-specific alterations in level in the frontal cortex. Six show decreases compared with the non-psychiatric controls for one or more diseases. Four of these are forms of glial fibrillary acidic protein (GFAP), one is dihydropyrimidinase-related protein 2, and the sixth is ubiquinone cytochrome c reductase core protein 1. Two spots, carbonic anhydrase 1 and fructose biphosphate aldolase C, show increase in one or more diseases compared to controls. Proteomic analysis may identify novel pathogenic mechanisms of human neuropsychiatric diseases.

Amino Acid Sequence↗

Transcriptional, proteomic, and metabolic responses to lithium in galactose-grown yeast cells.

Lithium is highly toxic to yeast when grown in galactose medium mainly because phosphoglucomutase, a key enzyme of galactose metabolism, is inhibited. We studied the global protein and gene expression profiles of Saccharomyces cerevisiae grown in galactose in different time intervals after addition of lithium. These results were related to physiological studies where both secreted and intracellular metabolites were determined. Microarray analysis showed that 664 open reading frames were down-regulated and 725 up-regulated in response to addition of lithium. Genes involved in transcription, translation, and nucleotide metabolism were down-regulated at the transcriptional level, whereas genes responsive to different stresses as well as genes from energy reserve metabolism and monosaccharide metabolism were up-regulated. Compared with the proteomic data, 26% of the down-regulated and 48% of the up-regulated proteins were also identified as being changed on the mRNA level. Functional clusters obtained from proteome data were coincident with transcriptional clusters. Physiological studies showed that acetate, glycerol, and glycogen accumulate in response to lithium, as reflected in expression data, whereas a change from respiro-fermentative to respiratory growth could not be predicted from the expression analyses.

Galactose↗

Sperm proteome mapping of a patient who experienced failed fertilization at IVF reveals altered expression of at least 20 proteins compared with fertile donors: case report.

The aim of this study was to compare the sperm protein expression profile (proteome map) from a patient who experienced failed fertilization at IVF with fertile controls. One patient and three fertile donor sperm samples were characterized using two-dimensional electrophoresis. Differences in protein expression were established using gel analysis software before attempted protein identification. Gel analysis of the fertile donor proteome maps revealed excellent reproducibility as well as very low intra-donor and inter-donor variability in the presence of protein spots. In the patient samples, we have noted 20 consistent differences in protein expression (six spots missing, three additional spots, four less abundant, seven more abundant) compared with the controls. Two proteins that were more intense in the patient have been conclusively identified as secretory actin-binding protein and outer dense fibre protein 2/2. In conclusion proteome variation between different fertile donors was very low. In contrast, the patient proteome exhibited 20 differences compared with controls, which we believe is an underestimate. These proteins merit further investigation to determine whether failed fertilization at IVF might be caused by abnormalities in their expression. This case report represents a proof of principle that proteomics may be useful to study defects in sperm function.

Case-Control Studies↗

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.

Electrophoresis, Gel, Two-Dimensional↗

Differential gel exposure, a new methodology for the two-dimensional comparison of protein samples.

We describe a novel methodology for the comparison of protein samples called differential gel exposure (DifExpo). This method is based on the coelectrophoresis on a two-dimensional (2-D) gel of two protein samples. The samples are differentiated from each other by in vivo radiolabelling, using (14)C- and (3)H-isotopes. After 2-D separation and transfer on a polyvinylidene difluoride membrane, the (3)H/(14)C ratio of each protein spot is determined by exposure to two types of imaging plates, one sensitive to (14)C and the other to both (14)C and (3)H. We showed that DifExpo allows us to compare the cellular levels of several hundred proteins of the yeast proteome. Its sensitivity is comparable to silver staining. We also showed that it can be used to investigate changes in the rate of synthesis of individual proteins.

Carbon Radioisotopes↗

Do distantly related parasites rely on the same proximate factors to alter the behaviour of their hosts?

Phylogenetically unrelated parasites often increase the chances of their transmission by inducing similar phenotypic changes in their hosts. However, it is not known whether these convergent strategies rely on the same biochemical precursors. In this paper, we explored such aspects by studying two gammarid species (Gammarus insensibilis and Gammarus pulex; Crustacea: Amphipoda: Gammaridae) serving as intermediate hosts in the life cycle of two distantly related parasites: the trematode, Microphallus papillorobustus and the acanthocephalan, Polymorphus minutus. Both these parasite species are known to manipulate the behaviour of their amphipod hosts, bringing them towards the water surface, where they are preferentially eaten by aquatic birds (definitive hosts). By studying and comparing the brains of infected G. insensibilis and G. pulex with proteomics tools, we have elucidated some of the proximate causes involved in the parasite-induced alterations of host behaviour for each system. Protein identifications suggest that altered physiological compartments in hosts can be similar (e.g. immunoneural connexions) or different (e.g. vision process), and hence specific to the host-parasite association considered. Moreover, proteins required to alter the same physiological compartment can be specific or conversely common in both systems, illustrating in the latter case a molecular convergence in the proximate mechanisms of manipulation.

Acanthocephala↗

WholePathwayScope: a comprehensive pathway-based analysis tool for high-throughput data.

BACKGROUND: Analysis of High Throughput (HTP) Data such as microarray and proteomics data has provided a powerful methodology to study patterns of gene regulation at genome scale. A major unresolved problem in the post-genomic era is to assemble the large amounts of data generated into a meaningful biological context. We have developed a comprehensive software tool, WholePathwayScope (WPS), for deriving biological insights from analysis of HTP data. RESULT: WPS extracts gene lists with shared biological themes through color cue templates. WPS statistically evaluates global functional category enrichment of gene lists and pathway-level pattern enrichment of data. WPS incorporates well-known biological pathways from KEGG (Kyoto Encyclopedia of Genes and Genomes) and Biocarta, GO (Gene Ontology) terms as well as user-defined pathways or relevant gene clusters or groups, and explores gene-term relationships within the derived gene-term association networks (GTANs). WPS simultaneously compares multiple datasets within biological contexts either as pathways or as association networks. WPS also integrates Genetic Association Database and Partial MedGene Database for disease-association information. We have used this program to analyze and compare microarray and proteomics datasets derived from a variety of biological systems. Application examples demonstrated the capacity of WPS to significantly facilitate the analysis of HTP data for integrative discovery. CONCLUSION: This tool represents a pathway-based platform for discovery integration to maximize analysis power. The tool is freely available at http://www.abcc.ncifcrf.gov/wps/wps_index.php.

Computer Graphics↗

Isotope-coded affinity tags for protein quantification.

An important goal in proteomics is to compare the relative amounts of different proteins in biological samples and to try to correlate these differences with changes in physiological state. The isotopecoded affinity tag technique pioneered in Aebersold's laboratory takes advantage of differential tagging of cysteine residues in proteins with stable isotopes to significantly reduce the complexity of peptide mixtures and increase the number of sequences that are identified in a single tandem mass spectrometry experiment. In this approach, two samples are isotopically labeled (one heavy, one light) through a reactive group that specifically binds to cysteine residues; the samples are combined, separated with chromatography, and analyzed by mass spectrometry. The results are then database searched and a list of hundreds of proteins and their heavy:light ratio is obtained.

Avidin↗

Quantitative analysis of liver protein expression during hibernation in the golden-mantled ground squirrel.

Mammals that enter deep hibernation experience extreme reductions in body temperature and in metabolic, respiratory, and heart rates for several weeks at a time. Survival of these extremes likely entails a highly regulated network of tissue- and time-specific gene expression patterns that remain largely unknown. To date, studies to identify differentially-expressed genes have employed a candidate gene approach or in a few cases broader unbiased screens at the RNA level. Here we use a proteomic approach to compare and identify differentially expressed liver proteins from two seasonal stages in the golden-mantled ground squirrel (summer and entrance into torpor) using two-dimensional gels followed by MS/MS. Eighty-four two-dimensional gel spots were found that quantitatively alter with the hibernation season, 68 of which gave unambiguous identifications based on similarity to sequences in the available mammalian database. Based on what is known of these proteins from prior research, they are involved in a variety of cellular processes including protein turnover, detoxification, purine biosynthesis, gluconeogenesis, lipid metabolism and mobility, ketone body formation, cell structure, and redox balance. A number of the enzymes found to change seasonally are known to be either rate-limiting or first enzymes in a metabolic pathway, indicating key roles in metabolic control. Functional roles are proposed to explain the changes seen in protein levels and their potential influence on the phenotype of hibernation.

Amino Acid Sequence↗

Identification of Differential Proteins in Thrombi of Cardioembolic and Atherothrombotic Etiology in Patients with Ischemic Stroke.

Knowing the precise etiology in ischemic stroke is necessary to ensure accurate diagnosis and decide on appropriate preventive treatments, especially in those of undetermined cause. Analysis of the thrombus protein composition could be useful to identify diagnostic biomarkers to help determine the stroke origin. Thrombi from 54 ischemic stroke patients with large vessel occlusion (LVO), of cardioembolic and atherothrombotic etiology, were analyzed using a proteomics approach. The proteome profile was compared between them to detect differential proteins of each etiology. Peptides of those differential proteins were quantified and related to the neurological function and clinical status of the patients. Of the 516 proteins identified, three showed significant differences between atherothrombotic and cardioembolic thrombi. These were fibronectin (FINC), 2,3-bisphosphoglycerate mutase (PMGE), and tropomyosin-1 (TPM1). Combining these proteins in a biomarker panel provided good sensitivity and high specificity for differentiating cardioembolic and atherothrombotic strokes. In addition, several of the quantified peptide levels correlated with clinical parameters related to stroke severity and prognosis. Three proteins differentially detected in ischemic stroke thrombi could be useful tools for accurately diagnosing ischemic stroke etiology, particularly in cases of undetermined cause. These biomarkers should be further analyzed in prospective multicenter studies to demonstrate their usefulness.

Humans↗

Differential proteomic analysis of nuclear extracts from thyroid cell lines.

Nuclear proteins play a major role in controlling cell functions. Differential proteomic analysis of nuclear proteins by combined 2D gel electrophoresis (2D-E) and mass spectrometry procedures can provide useful information to understand the control of cell proliferation and differentiation. To identify proteins involved in dedifferentiation, we used a differential proteomics approach by comparing nuclear extracts from the differentiated rat thyroid cell line FRTL-5 and the derived undifferentiated Ki-mol cell line, obtained by transformation with the Ki-ras oncogene. Thirteen proteins were identified as differently expressed in the nuclear compartment between the two cell lines. RT-PCR analysis performed on seven differently expressed genes showed that only in two cases the difference may be ascribable to a transcriptional mechanism. Since one of the identified proteins, namely apurinic apyrimidinic endonuclease/redox effector factor-1 (APE1/Ref-1), is suspected to play a role in thyroid tumorigenesis, we used a glutathione S-transferase (GST)-pulldown assay coupled to a 2D electrophoretic/matrix assisted laser desorption ionization-time of flight (MALDI-TOF)-mass spectrometry (MS) analysis to detect and identify its interacting partners. We show here that beta-actin directly interacted with APE1/Ref-1, as confirmed by co-immunoprecipitation assays and that this interaction was enhanced by oxidative stress on FRTL-5 cells.

Animals↗

Rgg regulates growth phase-dependent expression of proteins associated with secondary metabolism and stress in Streptococcus pyogenes.

The transcriptional regulatory protein Rgg coordinates amino acid catabolism and virulence factor expression in Streptococcus pyogenes. We used a proteomic approach to compare cytoplasmic proteins isolated from S. pyogenes wild-type strain NZ131 (serotype M49) to proteins isolated from an rgg mutant strain during the exponential and stationary phases of growth. Proteins were separated by two-dimensional gel electrophoresis, and 125 protein spots of interest were identified by tandem mass spectrometry. Comparative analysis of proteins isolated from the isogenic strains revealed that growth phase-associated regulation of enzymes involved in the metabolism of arginine (ArcABC), histidine (HutI), and serine (SdhA) was abrogated in the rgg mutant strain, which synthesized the proteins in the exponential phase of growth. In contrast, the enzymes were detected only among wild-type proteins isolated from organisms in the stationary phase of growth. The differences in protein composition were correlated with previously described metabolic changes. In addition, proteins associated with thermal and oxidative stress responses, including ClpE and ClpL, were present in samples isolated from the rgg mutant strain but not in samples isolated from the wild-type strain. The rgg mutant strain was more tolerant to elevated temperature and puromycin than the wild-type strain; however, the mutant was less tolerant to paraquat. We concluded that Rgg is a global regulatory factor that contributes to growth phase-dependent synthesis of proteins associated with secondary metabolism and oxidative and thermal stress responses.

Amino Acids↗

Fluorescent two-dimensional difference gel electrophoresis and mass spectrometry identify age-related protein expression differences for the primary visual cortex of kitten and adult cat.

The recent introduction of fluorescent two-dimensional difference gel electrophoresis, combined with mass spectrometry, has greatly simplified the analysis and identification of differentially expressed proteins by eliminating intergel variability. In this report, we describe the successful application of this functional proteomics approach to compare protein expression levels in visual cortical area 17 of adult cats and 30-day-old kittens, in order to identify proteins expressed in an age-related fashion. We identified 16 proteins that were more abundantly expressed in kitten striate cortex and 12 proteins with a pronounced expression in adult cat area 17. Among those isolated from kitten area 17 were proteins related to axon growth and growth cone guidance and to the formation of cytoskeletal filaments. Glial fibrillary acidic protein, as identified in adult cat area 17, has been implicated previously in the termination of the critical period for cortical plasticity in kittens. In situ hybridization experiments for two of the identified proteins, glial fibrillary acidic protein and collapsin response mediator protein 5, confirmed and extended their differential expression to the mRNA level. Our findings show that two-dimensional difference gel electrophoresis combined with mass spectrometry is a powerful approach that permits the identification of small protein expression differences correlated to different physiological conditions.

Age Factors↗