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Phylogenetic profiling of the Arabidopsis thaliana proteome: what proteins distinguish plants from other organisms?

BACKGROUND: The availability of the complete genome sequence of Arabidopsis thaliana together with those of other organisms provides an opportunity to decipher the genetic factors that define plant form and function. To begin this task, we have classified the nuclear protein-coding genes of Arabidopsis thaliana on the basis of their pattern of sequence similarity to organisms across the three domains of life. RESULTS: We identified 3,848 Arabidopsis proteins that are likely to be found solely within the plant lineage. More than half of these plant-specific proteins are of unknown function, emphasizing the general lack of knowledge of processes unique to plants. Plant-specific proteins that are membrane-associated and/or targeted to the mitochondria or chloroplasts are the most poorly characterized. Analyses of microarray data indicate that genes coding for plant-specific proteins, but not evolutionarily conserved proteins, are more likely to be expressed in an organ-specific manner. A large proportion (13%) of plant-specific proteins are transcription factors, whereas other basic cellular processes are under-represented, suggesting that evolution of plant-specific control of gene expression contributed to making plants different from other eukaryotes. CONCLUSIONS: We identified and characterized the Arabidopsis proteins that are most likely to be plant-specific. Our results provide a genome-wide assessment that supports the hypothesis that evolution of higher plant complexity and diversity is related to the evolution of regulatory mechanisms. Because proteins that are unique to the green plant lineage will not be studied in other model systems, they should be attractive priorities for future studies.

Animals↗

Meta-ERS: an exposome-based risk score using non-genetic factors to guide osteoporosis prevention.

BACKGROUND: Osteoporosis is influenced by both genetic and environmental factors, yet the relative contribution of the exposome remains unclear. This study aimed to systematically identify non-genetic exposures related to osteoporosis and develop an exposome risk score (ERS) to evaluate individual osteoporosis susceptibility. METHODS: We conducted an exposome-wide analysis of 477,792 UK Biobank participants to identify key exposures associated with osteoporosis. The selected exposures were combined into a weighted Meta-ERS and validated in the Scotland/Wales cohort. The Meta-ERS was further compared with polygenic risk scores (PRS) and linked to plasma proteomics to explore underlying biological pathways. RESULTS: We identified 41 independent non-genetic exposures spanning socioeconomic status, mental health, sleep, diet, smoking, physical activity, environment, and marital status, with socioeconomic status and mental health emerging as the most significant drivers. Based on the identified exposures, we constructed eight domain-specific exposure risk scores and integrated them into a weighted Meta-ERS. The Meta-ERS (R2 = 5.1%; Proportion of Chi-Square = 14.3%) demonstrated an ability to explain osteoporosis variation that was on par with polygenic risk scores (R2 = 4.8%; Proportion of Chi-Square = 12.0%). Importantly, modifying unfavorable exposures mitigated the negative effect of PRS on osteoporosis, particularly among high PRS individuals (1.5- to 1.8-fold greater absolute risk reduction than in those with low PRS). Proteomic analyses further revealed potential mechanisms through which the exposome influences osteoporosis, including hormonal regulation, inflammation, ossification, muscle development, lipid metabolism, and accelerated bone aging. Among these, growth/differentiation factor 15 was identified as a key mediator protein, with a mediation proportion of 13.13%-36.52%. CONCLUSIONS: The Meta-ERS facilitates the quantification of individual osteoporosis risk and identifies modifiable exposures for targeted prevention. Its application can enable personalized risk stratification and guide lifestyle or environmental interventions.

Aged↗

Phosphoproteome analysis of hereditary cataractous rat lens alpha-crystallin.

We reported previously that C-terminal truncated alpha-crystallins were found in lenses of hereditary cataractous rat ICR/f. In this study, we examined the phosphorylation of the crystalline lens proteins, alphaB-crystallin and alphaA-crystallin, in cataractous and normal rats of different ages and have found an increase in the phosphorylation of serine residues of truncated alpha-crystallin in cataractous lens. Phosphorylation and C-terminal truncation of alpha-crystallins could, both, reduce their chaperone-like activity and lead to cataract formation.

Animals↗

Classical versus stochastic kinetics modeling of biochemical reaction systems.

We study fundamental relationships between classical and stochastic chemical kinetics for general biochemical systems with elementary reactions. Analytical and numerical investigations show that intrinsic fluctuations may qualitatively and quantitatively affect both transient and stationary system behavior. Thus, we provide a theoretical understanding of the role that intrinsic fluctuations may play in inducing biochemical function. The mean concentration dynamics are governed by differential equations that are similar to the ones of classical chemical kinetics, expressed in terms of the stoichiometry matrix and time-dependent fluxes. However, each flux is decomposed into a macroscopic term, which accounts for the effect of mean reactant concentrations on the rate of product synthesis, and a mesoscopic term, which accounts for the effect of statistical correlations among interacting reactions. We demonstrate that the ability of a model to account for phenomena induced by intrinsic fluctuations may be seriously compromised if we do not include the mesoscopic fluxes. Unfortunately, computation of fluxes and mean concentration dynamics requires intensive Monte Carlo simulation. To circumvent the computational expense, we employ a moment closure scheme, which leads to differential equations that can be solved by standard numerical techniques to obtain more accurate approximations of fluxes and mean concentration dynamics than the ones obtained with the classical approach.

Biochemistry↗

SELDI proteinchip MS: a platform for biomarker discovery and cancer diagnosis.

Identification and understanding the structures, interactions and functions of all of a cell's proteins is one of the major goals of the postgenome era. The genome project has produced a wealth of information that is greatly expounding the genetic basis of cancer. However, it falls short in not allowing for accurate prediction of what is happening at the protein level in a cancer cell or a body fluid proteome. It is the hope that, by deciphering the alterations in the cancer proteome, biomarkers and patterns of biomarkers will be found that will lead to improvements in early detection, diagnosis and treatment monitoring. To achieve this goal, rapid high-throughput proteomic technologies will be required. The SELDI ProteinChip Biomarker mass spectrometry system appears to have potential in this effort, both for biomarker discovery and as a potential clinical diagnostic assay platform.

Algorithms↗

Effects of body weight and nutrition on mammary protein expression profiles in Holstein heifers.

A proteomics approach was used to characterize biochemical and cellular mechanisms governing effects of peripubertal feeding on heifer mammary development. Mammary parenchymal tissue from 24 Holstein heifers randomly assigned to treatments arranged in a 2 x 2 factorial design was used to generate 2-dimensional protein maps of mammary tissue extracts. Heifers were reared on 1 of 2 dietary treatments, restricted (650 g/ d of daily gain) or elevated (950 g/d of daily gain) and killed at 1 of 2 body weights (BW, 200 or 350 kg). Cytosolic mammary gland extracts were prepared from frozen mammary parenchyma. Proteome maps of extracts were constructed using PDQuest software. Densities of 820 protein spots were analyzed using the MIXED procedure of SAS. Protein spots were characterized by changes in profiles of expression in response to increased BW, dietary treatment, or both. Dietary treatment influenced the expression of 131 protein spots, whereas heifer BW influenced the expression of 108 spots. The 22 most highly influenced (statistically) spots were excised and submitted for mass spectrometric analyses. Returned protein names and accession numbers were used in National Center for Biotechnology Information database searches to obtain information on the identified proteins. For example, one of the proteins that differed by dietary treatment, transferrin, a binding protein of insulin-like growth factor binding protein-3, was identified via these methods. Possible roles of this and other proteins in mammary development are described. We concluded that a proteomic approach is an effective tool for identifying the proteins involved in bovine mammary development.

Animal Nutritional Physiological Phenomena↗

A proteomic study on cell cycle progression of endothelium exposed to tumor conditioned medium and the possible role of cyclin D1/E.

This study was designed to comprehensively analyze the differential expression of proteins from human umbilical vein endothelial cells (HUVECs) exposed to tumor conditioned medium (TCM) and to identify the key regulator in the cell cycle progression. The HUVECs were exposed to TCM from breast carcinoma cell line MDA-MB-231, then their cell cycle distribution was measured by flow cytometer (FCM). The role of protein in cell cycle progression was detected via two-dimensional polyacrylamide gel electrophoresis (2-DE) and western blotting. Following the stimulation of TCM, HUVECs showed a more cells in the S phase than did the negative control group (ECGF-free medium with 20% FBS), but the HUVECs' level was similar to the positive control group (medium with 25 micrograms/ml ECGF and 20% FBS). Increased expression of cyclin D1/E and some changes in other related proteins occurred after incubation with TCM. From our results, we can conclude that breast carcinoma cell line MDA-MB-231 may secrete soluble pro-angiogenic factors that induce the HUVEC angiogenic switch, during which the expression of cell cycle regulator cyclin D1/E increases and related proteins play an important role in this process.

Angiogenesis Inducing Agents↗

Discover true association rates in multi-protein complex proteomics data sets.

Experimental processes to collect and process proteomics data are increasingly complex, while the computational methods to assess the quality and significance of these data remain unsophisticated. These challenges have led to many biological oversights and computational misconceptions. We developed a complete empirical Bayes model to analyze multi-protein complex (MPC) proteomics data derived from peptide mass spectrometry detections of purified protein complex pull-down experiments. Our model considers not only bait-prey associations, but also prey-prey associations missed in previous work. Using our model and a yeast MPC proteomics data set, we estimated that there should be an average of 28 true associations per MPC, almost ten times as high as was previously estimated. For data sets generated to mimic a real proteome, our model achieved on average 80% sensitivity in detecting true associations, as compared with the 3% sensitivity in previous work, while maintaining a comparable false discovery rate of 0.3%.

Algorithms↗

Identification of differentially expressed proteins in colorectal cancer by proteomics: down-regulation of secretagogin.

To identify proteins with colorectal cancer-specific regulation, comparative 2-DE of individual-matched normal and neoplastic colorectal tissue specimens was performed. We found 15 protein spots with concordantly increased and 20 protein spots with concordantly decreased intensity in tumor tissue (expression regulation more than fivefold). Nine of these proteins were identified by MS/MS. Interestingly, one of the proteins, which exhibited a marked down-regulation in colorectal cancer tissues, was the recently identified endocrine cell-expressed protein secretagogin. The reduction of the secretagogin content in colorectal cancer tissues was confirmed by comparative immunoblotting (n = 17) and RT-PCR (n = 22) as well as by immunohistochemistry (n = 45) of individual-matched neoplastic and normal colorectal tissue specimens. Immunohistochemistry revealed absence of secretagogin-expressing cells in most of the colorectal cancer tissue specimens. However, some colorectal cancers were characterized by secretagogin-expressing cells. In normal mucosa, positively stained cells exhibited a neuroendocrine cell-characteristic morphology and mucosal location. In colorectal cancer tissues, secretagogin-expressing cells were characterized by a malignant morphology. Our findings might represent the basis for the clinical application of secretagogin as a biomarker for a distinct subgroup of colorectal cancers.

Biomarkers, Tumor↗

Proteomic analysis of colonic myofibroblasts and effect on colon cancer cell proliferation.

BACKGROUND: The stromal microenvironment influences many steps of tumor progression through the elaboration of signals from myofibroblasts. The phosphatidylinositol 3-kinase (PI3K)/Akt pathway transduces signals initiated by growth factors and is involved in colonic epithelial proliferation. The purpose of this study was to determine (1) the influence of myofibroblasts on colon cancer cell proliferation and PI3K activity, and (2) the protein alterations associated with myofibroblasts derived from polyp versus normal margins. METHODS: Myofibroblasts were derived from polyps and corresponding normal mucosa. Myofibroblasts were cocultured with colon cancer cells HT29 stably transfected with green fluorescent protein and KM20 cells. Proliferation was quantitated by green fluorescent protein count and cytokeratin enzyme-linked immunosorbent assay. HT29 cells were incubated with conditioned medium from myofibroblasts, and the effect on proliferation and PI3K activity was determined by 5-bromo 2-deoxyuridine incorporation and Akt kinase assay, respectively. Protein profiles were obtained by SELDI-TOF MS analysis. RESULTS: In coculture experiments, all myofibroblasts significantly enhanced HT29 and KM20 cell proliferation. However, polyp myofibroblasts enhanced proliferation of the cancer cells to a greater extent than normal myofibroblasts. Conditioned medium from all myofibroblasts stimulated Akt kinase activity. SELDI-TOF MS profiles showed more than 40 protein peaks for each isolate. One protein was differentially expressed in polyps versus normal cells. CONCLUSIONS: Utilizing a novel proteomic approach, we identify distinct protein profiles in myofibroblasts of polyps compared with stromal cells of normal mucosa. Moreover, myofibroblasts can stimulate indirectly PI3K activity and enhance colon cancer cell proliferation. These findings suggest that targeted therapy to signaling pathways in myofibroblasts may be useful in colorectal cancer chemoprevention and possible treatment.

Adenomatous Polyps↗

Toward the identification of liver toxicity markers: a proteome study in human cell culture and rats.

The effects of toxic and nontoxic compound treatments were investigated by high resolution custom developed 2-11 pH gradient NEPHGE (non equilibrium pH gradient electrophoresis) two-dimensional electrophoresis. Two models were compared: (i) in vivo rat and (ii) the human cell line HepG2, to test their suitability in a proteomics based approach to identify a toxicity marker. 163 and 321 proteins were identified from the rat liver and the HepG2 proteome. These represent various isoforms of 113 and 194 different NCBI annotated gene sequences, respectively. Nine compounds were selected to induce proteome variations associated with liver toxicity and metabolism. The rat liver proteome database consists of 78 gels, the HepG2 database of 52 gels. Variant proteins were assessed regarding their usefulness as a toxicity marker by evaluating their treatment specificity against multiple control treatments. Thirteen potential toxicity marker proteins were found in rat liver and eight in HepG2. Catalase and carbamoylphosphate synthetase-1 isoforms were found to be significantly changed after treatment by 4/4 and 3/4 toxic compounds in rat liver, respectively. Aldo-keto-reductase family 1, member C1 was implicated for 3/4 liver cell toxic compounds in HepG2. Our approach was able to differentiate the quality of potential toxicity markers and provided useful information for an ongoing characterization of more compounds in a wider number of toxicity classes.

1-Naphthylisothiocyanate↗

Hepatocellular carcinoma: from bedside to proteomics.

Hepatocellular carcinoma (HCC or hepatoma) is the most common primary cancer of the liver. It is responsible for approximately one million deaths each year, mainly in underdeveloped and developing countries. The aetiological factors identified in the development of HCC included persistent infection by hepatitis B and hepatitis C viruses, and exposure to aflatoxins. Although immunization can protect individuals from being infected by the hepatitis B virus, the early detection of HCC in those who have been infected by the virus remains a challenge. Thus most HCCs present late and are not suitable for curative treatment. Hence there is a tremendous interest and urgency to identify novel HCC diagnostic marker(s) for early detection, and tumour specific disease associated proteins as potential therapeutic targets in the treatment of HCC. Screening for these HCC proteins has been facilitated by proteomics, a key technology in the global analysis of protein expression and understanding gene function. Present and earlier proteome analyses of HCC have used predominantly experimental in vitro systems. The protein expression profiles of several hepatoma cell lines such as HepG2, Huh7, SK-Hep1, and Hep3B have been compared with normal liver, and nontransformed cell lines (Chang and WRL-68), while a comprehensive proteome analysis to create a protein database was carried out for the cell line HCC-M. In the future, proteome analyses utilizing tumour tissues, which reflect the pathological state of HCC more closely, will be undertaken. This work will complement the gene expression studies of HCC which are already underway. Efforts have also been directed at the proteome analysis of hepatic stellate cells, as these cells play an important role in liver fibrosis. Since liver fibrosis is reversible but not cirrhosis, it is of considerable importance to identify therapeutic targets that can slow its progression.

Amino Acid Sequence↗

A set of consensus mammalian mediator subunits identified by multidimensional protein identification technology.

The Mediator is a multiprotein transcriptional coactivator that is expressed ubiquitously in eukaryotes from yeast to mammals and is required for induction of RNA polymerase II (pol II) transcription by DNA binding transcription factors. In the work described here, we exploit multidimensional protein identification technology (MudPIT) to carry out a proteomic analysis of the subunit composition of the mammalian Mediator complex. By comparing MudPIT data sets obtained from six independent Mediator preparations immunoaffinity purified through their Nut2 (MED10), Med25 (MED9), Intersex (MED29), LCMR1 (MED19), AK007855 (MED28), or CRSP70 (MED26) subunits, we identify a set of consensus mammalian Mediator subunits. In addition, we identify as Mediator-associated proteins the CDK8-like cyclin-dependent kinase CDK11 and the TRAP240-like KIAA1025 protein (MED13L), which is mutated in patients with the congenital heart defect transposition of the great arteries (TGA).

Adaptor Proteins, Signal Transducing↗

Isotope-coded N-terminal sulfonation of peptides allows quantitative proteomic analysis with increased de novo peptide sequencing capability.

Recently various methods for the N-terminal sulfonation of peptides have been developed for the mass spectrometric analyses of proteomic samples to facilitate de novo sequencing of the peptides produced. This paper describes the isotope-coded N-terminal sulfonation (ICenS) of peptides; this procedure allows both de novo peptide sequencing and quantitative proteomics to be studied simultaneously. As N-terminal sulfonation reagents, 13C-labeled 4-sulfophenyl[13C6]isothiocyanate (13C-SPITC) and unlabeled 4-sulfophenyl isothiocyanate (12C-SPITC) were synthesized. The experimental and reference peptide mixtures were derivatized independently using 13C-SPITC and 12C-SPITC and then combined to generate an isotopically labeled peptide mixture in which each isotopic pair differs in mass by 6 Da. Capillary reverse-phase liquid chromatography/tandem mass spectrometry experiments on the resulting peptide mixtures revealed several immediate advantages of ICenS in addition to the de novo sequencing capability of N-terminal sulfonation, namely, differentiation between N-terminal sulfonated peptides and unmodified peptides in mass spectra, differentiation between N- and C-terminal fragments in tandem mass spectra of multiply protonated peptides by comparing fragmentations of the isotopic pairs, and relative peptide quantification between proteome samples. We demonstrate that the combination of N-terminal sulfonation and isotope coding in the mass spectrometric analysis of proteomic samples is a viable method that overcomes many problems associated with current N-terminal sulfonation methods.

Amino Acid Sequence↗

Effects of diet-induced hypercholesterolemia on testosterone-regulated protein expression in mice liver.

We report here testosterone deficiency in diet-induced hypercholesterolemic mice. We attempted to compare the liver protein profiles between hypercholesterolemic and normal mice by using the technology of proteomics. Protein extractions from mice livers were separated by two-dimensional electrophoresis and the gels were analysed with image analysis software 2D Elite 4.0. The differentially expressed proteins were identified primarily by comparing with reference gel images in the SWISS 2DPAGE database and then confirmed by peptide mass fingerprinting. Sixteen differentially expressed protein spots (>2-fold) were detected and 8 of which were identified as major urinary proteins, carbonic anhydrase III, and glutathione S-transferase P2, which are known to be regulated by androgens. The expression of these three proteins was statistically lower in the livers of hypercholesterolemic mice. Meanwhile, the testosterone levels in serum, testis, and liver were lower in hypercholesterolemic mice than those in normal mice, when human chorionic gonadotrophin was injected intramuscularly. These results suggest a testosterone deficiency in diet-induced hypercholesterolemic mice.

Animals↗

Proteomics as a tool to improve investigation of substantial equivalence in genetically modified organisms: the case of a virus-resistant tomato.

At present, the so-called "substantial equivalence" is the only widely accepted criterion for deciding whether or not a transgenic food is, from an alimentary point of view, to be considered totally correspondent to the "traditional" one from which it derives. Although never exactly defined, it deals with a comparison between the chemical composition of the two foods. A more in-depth analysis can be performed by one of the most suitable methods that allows for the simultaneous screening of many components without prior identification, the analysis of the proteome. As a model for testing this kind of approach, we compared protein expression of two types of tomato plants, having the same genetic background, except for a virus resistance trait introduced by genetic engineering. When proteins extracted from seedlings of the two types were analyzed by two-dimensional electrophoresis, no significant differences, either qualitative or quantitative, were detected, indicating that in this case the expression of major proteins was unmodified by the genetic manipulation. Fifteen proteins were identified by peptide mass fingerprinting.

Solanum lycopersicum↗

Recombinant protein expression and solubility screening in Escherichia coli: a comparative study.

Producing soluble proteins in Escherichia coli is still a major bottleneck for structural proteomics. Therefore, screening for soluble expression on a small scale is an attractive way of identifying constructs that are likely to be amenable to structural analysis. A variety of expression-screening methods have been developed within the Structural Proteomics In Europe (SPINE) consortium and to assist the further refinement of such approaches, eight laboratories participating in the network have benchmarked their protocols. For this study, the solubility profiles of a common set of 96 His(6)-tagged proteins were assessed by expression screening in E. coli. The level of soluble expression for each target was scored according to estimated protein yield. By reference to a subset of the proteins, it is demonstrated that the small-scale result can provide a useful indicator of the amount of soluble protein likely to be produced on a large scale (i.e. sufficient for structural studies). In general, there was agreement between the different groups as to which targets were not soluble and which were the most soluble. However, for a large number of the targets there were wide discrepancies in the results reported from the different screening methods, which is correlated with variations in the procedures and the range of parameters explored. Given finite resources, it appears that the question of how to most effectively explore ;expression space' is similar to several other multi-parameter problems faced by crystallographers, such as crystallization.

Algorithms↗

Alterations in the proteome of the Euprymna scolopes light organ in response to symbiotic Vibrio fischeri.

During the onset of the cooperative association between the Hawaiian sepiolid squid Euprymna scolopes and the marine luminous bacterium Vibrio fischeri, the anatomy and morphology of the host's symbiotic organ undergo dramatic changes that require interaction with the bacteria. This morphogenetic process involves an array of tissues, including those in direct contact with, as well as those remote from, the symbiotic bacteria. The bacteria induce the developmental program soon after colonization of the organ, although complete morphogenesis requires 96 h. In this study, to determine critical time points, we examined the biochemistry underlying bacterium-induced host development using two-dimensional polyacrylamide gel electrophoresis. Specifically, V. fischeri-induced changes in the soluble proteome of the symbiotic organ during the first 96 h of symbiosis were identified by comparing the protein profiles of symbiont-colonized and uncolonized organs. Both symbiosis-related changes and age-related changes were analyzed to determine what proportion of the differences in the proteomes was the result of specific responses to interaction with bacteria. Although no differences were detected over the first 24 h, numerous symbiosis-related changes became apparent at 48 and 96 h and were more abundant than age-related changes. In addition, many age-related protein changes occurred 48 h sooner in symbiotic animals, suggesting that the interaction of squid tissue with V. fischeri cells accelerates certain developmental processes of the symbiotic organ. These data suggest that V. fischeri-induced modifications in host tissues that occur in the first 24 h of the symbiosis are independent of marked alterations in the patterns of abundant proteins but that the full 4-day morphogenetic program requires significant alteration of the host soluble proteome.

Animal Structures↗