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Proteomics of the Drosophila immune response.

Completion of the Drosophila genome has enabled the use of proteomic approaches for studying complex processes such as the innate immune defense against microorganisms. Microbial infection leads to the activation of responses involving changes at translational and post-translational levels. Proteomics is a tool for assessing such changes in protein expression, localization and post-translational modification. Recently, several studies have reported whole-genome analyses of the Drosophila immune response, both at the transcriptome and proteome levels, leading to a more comprehensive view of fly immunity. In this review, we describe and compare the proteomic techniques used in these analyses and discuss the results obtained by differential protein profiling of the Drosophila immune response.

Animals↗

Organellar proteomics reveals Golgi arginine dimethylation.

The Golgi complex functions to posttranslationally modify newly synthesized proteins and lipids and to sort them to their sites of function. In this study, a stacked Golgi fraction was isolated by classical cell fractionation, and the protein complement (the Golgi proteome) was characterized using multidimensional protein identification technology. Many of the proteins identified are known residents of the Golgi, and 64% of these are predicted transmembrane proteins. Proteins localized to other organelles also were identified, strengthening reports of functional interfacing between the Golgi and the endoplasmic reticulum and cytoskeleton. Importantly, 41 proteins of unknown function were identified. Two were selected for further analysis, and Golgi localization was confirmed. One of these, a putative methyltransferase, was shown to be arginine dimethylated, and upon further proteomic analysis, arginine dimethylation was identified on 18 total proteins in the Golgi proteome. This survey illustrates the utility of proteomics in the discovery of novel organellar functions and resulted in 1) a protein profile of an enriched Golgi fraction; 2) identification of 41 previously uncharacterized proteins, two with confirmed Golgi localization; 3) the identification of arginine dimethylated residues in Golgi proteins; and 4) a confirmation of methyltransferase activity within the Golgi fraction.

Amino Acid Sequence↗

Interrelationships between colonies, biofilms, and planktonic cells of Pseudomonas aeruginosa.

Pseudomonas aeruginosa is a gram-negative bacterium and an opportunistic human pathogen that causes chronic infections in immunocompromised individuals. These infections are hard to treat, partly due to the high intrinsic resistance of the bacterium to clinically used antibiotics and partly due to the formation of antibiotic-tolerant biofilms. The three most common ways of growing bacteria in vitro are as planktonic cultures, colonies on agar plates, and biofilms in continuous-flow systems. Biofilms are known to express genes different from those of planktonic cells, and biofilm cells are generally believed to closely resemble planktonic cells in stationary phase. However, few, if any, studies have examined global gene expression in colonies. We used a proteomic approach to investigate the interrelationships between planktonic cells, colonies, and biofilms under comparable conditions. Our results show that protein profiles in colonies resemble those of planktonic cells. Furthermore, contrary to what has been reported previously, the protein profiles of biofilms were found to more closely resemble those of exponentially growing planktonic cells than those of planktonic cells in the stationary phase. These findings raise some intriguing questions about the true nature of biofilms.

Agar↗

Proteome annotations and identifications of the human pulmonary fibroblast.

We hereby report on a three year project initiative undertaken by our research team encompassing large-scale protein expression profiling and annotations of human primary lung fibroblast cells. An overview is given of proteomic studies of the fibroblast target cell involved in several diseases such as asthma, idiopatic pulmonary disease, and COPD. It has been the objective within our research team to map and identify the protein expressions occurring in both activated-, as well as resting cell states. The JGGL database www.2DDB.org has been built around these data, allowing advanced hypothesis building using the interactive query bioinformatic tools developed. Gene ontology has been applied to these annotations, classifying and correlating protein expressions to function. The localization as well as the biological processes involved for the annotations are being presented including an annotation-, and sequence-identification strategy, resulting in close to 2000 protein identities. Both gel based, high resolution 2D-gels, and liquid-phase separation (three-dimensional HPLC), as well as the combination of gel- and LC-based approaches (1D-gels and nano-capillary LC, reversed-phase) were utilized. Protein sequencing and structure identities were acquired by a combination of MALDI-, and electrospray-mass spectrometry techniques. Phenotypical and morphological characterizations were also made for this human disease target cell in both stimulated- and resting-cell states. The use of functional assays that demonstrate the key regulating role of growth factors and cytokine stimuli such as PDGF, TGF-beta, and EGF and the effect of ECM molecules such as Biglycan, are also presented and discussed.

Amino Acid Sequence↗

Activity-based protein profiling: the serine hydrolases.

With the postgenome era rapidly approaching, new strategies for the functional analysis of proteins are needed. To date, proteomics efforts have primarily been confined to recording variations in protein level rather than activity. The ability to profile classes of proteins on the basis of changes in their activity would greatly accelerate both the assignment of protein function and the identification of potential pharmaceutical targets. Here, we describe the chemical synthesis and utility of an active-site directed probe for visualizing dynamics in the expression and function of an entire enzyme family, the serine hydrolases. By reacting this probe, a biotinylated fluorophosphonate referred to as FP-biotin, with crude tissue extracts, we quickly and with high sensitivity detect numerous serine hydrolases, many of which display tissue-restricted patterns of expression. Additionally, we show that FP-biotin labels these proteins in an activity-dependent manner that can be followed kinetically, offering a powerful means to monitor dynamics simultaneously in both protein function and expression.

Animals↗

Proteomics in nutrition and health.

Proteomics, the comprehensive analysis of a protein complement in a cell, tissue or biological fluid at a given time, has been enabled by quantum leaps in mass spectrometric technology, which allowed identification of large, involatile biomolecules. Over the last two decades, this discipline evolved from the sole delivery of protein identities to a platform, which reveals clues to function through e.g. characterisation of protein modifications and interactions as well as through quantitative proteomics, i.e. the global comparison of protein amounts between two defined biological states. Proteomics is an integral part and key player in the family of -omic disciplines as there are genomics (gene analysis), transcriptomics (gene expression analysis) and metabolomics (metabolite profiling). Considering the complexity, dynamics and protein concentration range of any given proteome, proteomics is the most challenging -omic discipline and requires the most sophisticated analysis pipeline. Proteomics represents an established technology in the pharmaceutical industry mainly for biomarker and drug target discovery. The potential of proteomics for research in the food industry is increasingly being recognised and the employment of proteomic approaches to nutrition and health issues is now emerging. This review summarizes (i) major technological achievements in mass spectrometry and proteomics, (ii) deliverables of proteomics in the context of nutrition and health, and (iii) applications of proteomics, and -- if appropriate -- transcriptomics to the research fields of digestive health, obesity and diabetes, immunity and allergy, probiotics, milk, and food preference.

Complex Mixtures↗

Analysis of the quorum-sensing regulon of the opportunistic pathogen Burkholderia cepacia H111 by proteomics.

Burkholderia cepacia H111, an important pathogen for persons suffering from cystic fibrosis, employs a quorum-sensing (QS) system, cep, to control expression of virulence factors as well as the formation of biofilms. The QS system is thought to ensure that pathogenic traits are only expressed when the bacterial population density is high enough to overwhelm the host before it is able to mount an efficient response. In this study, we compared the protein pattern of the intracellular, extracellular, and surface protein fractions of an AHL-deficient cepI mutant with the one of the parent strain H111 by means of two-dimensional gel electrophoresis (2-DE). Our analysis showed that 55 proteins out of 985 detected spots were differentially expressed; these are expected to represent QS-controlled gene products. Addition of the respective signal molecules to the growth medium of the cep mutant fully restored the wild-type protein expression profile. In total about 5% of the B. cepacia proteome was downregulated and 1% upregulated in the cepI mutant, indicating that quorum sensing represents a global regulatory system. Nineteen proteins were identified with high confidence by N-terminal sequence analysis.

Burkholderia cepacia↗

Proteomic analysis of human tears: defensin expression after ocular surface surgery.

Human tear protein profiles were monitored by surface enhanced laser desorption/ionization-time-of-flight mass spectrometry ProteinChip technology (SELDI-TOF ProteinChip) and liquid chromatography-mass spectrometry (LC-MS). Tears were collected from 21 patients scheduled for surgery to remove an ocular surface neoplasm prior to surgery (day 0) and on days 1, 3, and 30 postoperatively. Using this proteomic approach, we verified that three human alpha-defensins (HNP-1, HNP-2, and HNP-3) were significantly up-regulated in their expression after surgery and that their levels decreased to approximately normal by day 30 by which time healing was complete. Further confirmation of the identity of the alpha-defensins in human tears was made by LC purification, trypsin digestion, and ESI-MS/MS analysis of their tryptic digests. The concentrations of HNP-1 and HNP-2 were determined and shown to be markedly increased after ocular surface surgery. The results of the study suggest that human alpha-defensins HNP-1, HNP-2, and HNP-3 are up-regulated after surgery, and may in addition to their antimicrobial properties have an important role in wound healing.

Amino Acid Sequence↗

Characterization of mouse spleen cells by subtractive proteomics.

Major analytical challenges encountered by shotgun proteome analysis include both the diversity and dynamic range of protein expression. Often new instrumentation can provide breakthroughs in areas where other analytical improvements have not been successful. In the current study, we utilized new instrumentation (LTQ FT) to characterize complex protein samples by shotgun proteomics. Proteomic analyses were performed on murine spleen tissue separated by magnetic beads into distinct CD45- and CD45+ cell populations. Using shotgun protein analysis we identified approximately 2,000 proteins per cell group by over 12,000 peptides with mass deviations of less than 4.5 ppm. Datasets obtained by LTQ FT analysis provided a significant increase in the number of proteins identified and greater confidence in those identifications and improved reproducibility in replicate analyses. Because CD45- and not CD45+ cells are able to regenerate functional pancreatic islet cells in a mouse model of type I diabetes, protein expression was further compared by a subtractive proteomic approach in search of an exclusive protein expression profile in CD45- cells. Characterization of the proteins exclusively identified in CD45- cells was performed using gene ontology terms via the Javascript GoMiner. The CD45- cell subset readily revealed proteins involved in development, suggesting the persistence of a fetal stem cell in an adult animal.

Animals↗

Circadian-rhythm-based dynamics of the secretome in molecular subtypes of pancreatic ductal adenocarcinoma.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) lacks a reliable diagnostic biomarker, largely due to its asymptomatic onset and frequent late-stage detection, resulting in a poor 5-year survival rate. Identifying biomarkers for timely diagnosis is critical. Cancer cells display distinct protein regulation changes that drive disease hallmarks, and characterizing these across PDAC subtypes may provide insights into disease progression. RESEARCH DESIGN AND METHODS: In this study, a label-free quantitative (LFQ) proteomics approach using mass spectrometry (MS) was employed to profile circadian rhythm-regulated proteins in the secretome of PDAC cell lines. RESULTS: LFQ analysis revealed rhythmic protein regulation patterns, reflecting temporal control of biological processes in PDAC. Upregulated pathways included signal transduction, glycolysis, angiogenesis, and protein synthesis, indicating enhanced metabolic and proliferative activity. Downregulated immune pathways suggested potential immune modulation. Comparative analysis revealed subtype-specific patterns: the quasi-mesenchymal subtype exhibited higher levels of metabolic and extracellular matrix (ECM) remodeling proteins, while the classical subtype showed higher levels of ECM-degrading proteins, consistent with known phenotypic differences. CONCLUSION: These findings highlight rhythmically regulated proteins as potential subtype-specific markers in PDAC and provide a basis for future validation studies. Mass spectrometry proteomics data are available via the ProteomeXchange Consortium (PRIDE: PXD054693).

Humans↗

Changes in protein expression profiles in bivalve molluscs (Chamaelea gallina) exposed to four model environmental pollutants.

Proteomics has been used in the clam Chamaelea gallina as a preliminary screening of changes in protein expression caused by pollutants, potentially useful as new biomarkers. Clams were exposed in water for seven days to four model contaminants, Aroclor 1254, copper(II), tributyltin (TBT), and arsenic(III), and cytosolic fractions were initially analyzed by two-dimensional (2-D) electrophoresis in 7 cm IPG strips (pH 4-7). On average, about 1000 spots were resolved and altered expression was qualitatively detected in 9-26 spots per treatment. Aroclor 1254, Cu(II) and As(III) had a mainly upregulating effect, in contrast to TBT. Altered protein expression was confirmed in 18 cm gels (at narrow pH ranges). The 15 spots more drastically altered were excised and analyzed by mass spectrometry (MS), and four proteins were identified. Aroclor 1254 and Cu(II) upregulated putative isoforms of tropomyosin and light chain of myosin. Actin was downregulated by Aroclor and Cu(II) but upregulated by TBT and As(III), while the opposite behavior was shown by a truncated actin form, homologous to the Drosophila act87E gene product. The exclusive identification of cytoskeletal proteins could reflect their relative abundance, their prevalence in databases in molluscs, or their role as major targets of pollutant-related oxidative stress.

Amino Acid Sequence↗

A novel histology-directed strategy for MALDI-MS tissue profiling that improves throughput and cellular specificity in human breast cancer.

We describe a novel tissue profiling strategy that improves the cellular specificity and analysis throughput of protein profiles obtained by direct MALDI analysis. The new approach integrates the cellular specificity of histology, the accuracy and reproducibility of robotic liquid dispensing, and the speed and objectivity of automated spectra acquisition. Traditional methodologies for preparing and analyzing tissue samples rely heavily on manual procedures, which for various reasons discussed, restrict cellular specificity and sample throughput. Here, a robotic spotter deposits micron-sized droplets of matrix precisely onto foci of normal mammary epithelium, ductal carcinoma in situ, invasive mammary cancer, and peritumoral stroma selected by a pathologist from high resolution histological images of sectioned human breast cancer samples. The location of each matrix spot was then determined and uploaded into the instrument to facilitate automated profile acquisition by MALDI-TOF. In the example shown, the different lesions were clearly differentiated using mass profiling. Further, the workflow permits a visual projection of any information produced from the profile analyses directly on the histological image for a unique combination of proteomic and histological assessment of sample regions. The higher performance characteristics offered by the new workflow promises to be a significant advancement toward the next generation of tissue profiling studies.

Adult↗

Proteomic analysis of differentially expressed Chlamydia pneumoniae genes during persistent infection of HEp-2 cells.

Recent data have shown that the respiratory pathogen Chlamydia pneumoniae expresses an altered gene transcription profile during gamma interferon (IFN-gamma)-induced persistent infection in vitro. In the present study, we examined, by proteomics, expression of C. pneumoniae proteins labeled intracellularly with [(35)S]methionine/cysteine under normal conditions or IFN-gamma-mediated persistence. The identity of differentially expressed proteins during persistent infection was determined by matching spots to those of proteins identified in C. pneumoniae elementary bodies by matrix-assisted laser desorption ionization mass spectrometry. Upon treatment with 50 U of IFN-gamma per ml, a marked upregulation of major outer membrane protein (MOMP), heat shock protein 60 (Hsp-60/GroEL), and proteins with functions in DNA replication (GyrA), transcription (RpoA, PnP), translation (Rrf), glycolysis (PgK, GlgP), and type III secretion (SctN) was observed at 24 h of infection. In contrast, no significant decreases in bacterial protein expression were found in C. pneumoniae-infected cells due to IFN-gamma treatment. Upregulation of C. pneumoniae proteins involved in diverse functions during persistent infection may allow the organism to resist the inhibitory effects of IFN-gamma while retaining basic functions. Future studies should examine the differential expression of chlamydial proteins during the developmental cycle under IFN-gamma pressure to obtain a finer representation of the gene products involved in establishing persistence.

Bacterial Proteins↗

[Application of proteomic approach for solid tumor marker discovery].

In the post-genome era, the major mission of biology is to understand the functions of genome. To well know the whole book of genes, the proteins coded by different genes have to be studied more deeply since they are the final representatives of the specific genes. Proteomics is the key issue in the bioscience research. Using the two dimensional electrophoresis technique, the total proteins of tumor cells or tissues can be profiled first by their molecular weight and isoelectric points, after that, the specific interested proteins can be identified via mass spectrometry analysis combining with database searching. Cancer proteomics is a main part of the proteomics, by which we can understand the protein profiles during the different stages of the tumorigenesis and it brought a new hope for discovery of the tumor-specific biomarkers. Recently using proteomic tools with the laser capture microdissection (LCM) technique, more achievements have been made and many promising candidates of tumor-markers have been identified even most of them have not affirmed yet. This article will give a brief review about that.

Biomarkers, Tumor↗

Differential protein profiling of primary versus immortalized human RPE cells identifies expression patterns associated with cytoskeletal remodeling and cell survival.

Functional research of retinal pigment epithelium (RPE) most often relies on utilization of RPE-derived cell lines in vitro. However, no studies about similarities and differences of the respective cell lines exist so far. Thus, we here analyze the proteome of the most popular RPE cell lines: ARPE-19 and hTERT and compare their constitutive and de novo synthesized protein expression profiles to human early passage retinal pigment epithelial cells (epRPE) by 2-D electrophoresis and MALDI-TOF peptide mass fingerprinting. In all three cell lines the baseline protein expression pattern corresponded well to the de novo synthesized cellular proteome. However, comparison of the protein profile of epRPE cells with that of hTERT-RPE cells revealed a higher abundance of proteins related to cell migration, adhesion, and extracellular matrix formation, paralleled by a down-regulation of proteins attributed to cell polarization, and showed an altered expression of detoxification enzymes in hTERT-RPE. ARPE-19 cells, however, exhibited a higher abundance of components of the microtubule cytoskeleton and differences in expression of proteins related to proliferation and cell death. epRPE cells, hTERT-RPE, and ARPE-19 therefore may respond differently with respect to certain functional properties, a finding that should prove valuable for future in vitro studies.

Cell Culture Techniques↗

Metabolomics, genomics, proteomics, and the identification of enzymes and their substrates and products.

A large proportion of the genes in any plant genome encode enzymes of primary and specialized (secondary) metabolism. Not all plant primary metabolites, those that are found in all or most species, have been identified. Moreover, only a small portion of the estimated hundreds of thousand specialized metabolites, those found only in restricted lineages, have been studied in any species. The correlative analysis of extensive metabolic profiling and gene expression profiling has proven a powerful approach for the identification of candidate genes and enzymes, particularly those in secondary metabolism. The final characterization of substrates, enzymatic activities, and products requires biochemical analysis, which has been most successful when candidate proteins have homology to other enzymes of known function. The challenges are to identify new types of enzymes and to develop biochemical techniques that are suitable for large-scale analysis.

Databases, Factual↗

Proteomics in studies of signal transduction in epithelial cells.

An understanding of the complexity of cancer is important for correct diagnostics and efficient treatment of this disease. Recent developments of proteomics technologies allow us to address the complexity of tumorigenesis at a level of global protein profiling. This review discusses recent studies of signaling processes in cells of epithelial origin undertaken with the use of global protein profiling. Tumors of epithelial origin comprise about 90% of human breast cancers, and it is believed that transformation of breast epithelial cells shares common features of transformation with other mammalian cells: destabilization of the genome followed by acquisition of immortalization, unrestricted growth, evasion of death-inducing signals, and acquisition of invasive and tumor promoting characteristics. Functional proteomics of growth-promoting, growth-inhibiting, and pro-apoptotic signaling pathways, in combination with proteomics studies of breast epithelial cell differentiation and profiling of breast tumorigenesis, revealed groups of regulated proteins: structural components, stress-regulated proteins, regulators of transcription, translation and RNA processing, and regulators of posttranslational modifications, e.g., kinases, phosphatases, and proteases. The first lesson of proteomics studies is the discovery of significant number of new targets, as compared to total number of affected proteins. The second lesson is the poor correlation between expressions of proteins and their mRNAs. The third lesson is the low amplitude of protein changes compared to that observed for mRNA. These observations also recommend the analysis of signaling patterns rather than separate signaling pathways.

Animals↗

The impact of transcriptome and proteome analyses on antibiotic drug discovery.

Recent scientific publications demonstrate the increasing interest in measurement of genome-wide gene expression on transcript and protein level in response to treatment with antibacterial agents. Nevertheless, the number of large bacterial transcriptome and proteome datasets available so far is limited, although a high number and diversity of antibiotic-triggered expression profiles aid to optimally exploit these technologies. The first published examples substantiate the need to establish these so-called reference compendia of bacterial expression profiles, to discover the molecular mechanism-of-action of uncharacterized bioactive substances. In addition, such compendia open up ways for novel cell-based drug screening approaches.

Anti-Bacterial Agents↗