Oxidative stress response: a proteomic view

The oxidative stress response is characterized by various effects on a range of biologic molecules. When examined at the protein level, both expression levels and protein modifications are altered by oxidative stress. While these effects have been studied in the past by classic biochemical methods, the recent onset of proteomics methods has allowed the oxidative stress response to be studied on a much wider scale. The input of proteomics in the study of oxidative stress response and in the evidence of an oxidative stress component in biologic phenomena is reviewed in this paper.     

Oxidative stress response: a proteomic view

The oxidative stress response is characterized by various effects on a range of biologic molecules. When examined at the protein level, both expression levels and protein modifications are altered by oxidative stress. While these effects have been studied in the past by classic biochemical methods, the recent onset of proteomics methods has allowed the oxidative stress response to be studied on a much wider scale. The input of proteomics in the study of oxidative stress response and in the evidence of an oxidative stress component in biologic phenomena is reviewed in this paper.     

Crowding and disease: effects of host density on response to infection in a butterfly–parasite interaction

Abstract. 1. Hosts experiencing frequent variation in density are thought to benefit from allocating more resources to parasite defence when density is high (‘density‐dependent prophylaxis’). However, high density conditions can increase intra‐specific competition and induce physiological stress, hence increasing host susceptibility to infection (‘crowding‐stress hypothesis’). 2. We studied monarch butterflies (Danaus plexippus) and quantified the effects of larval rearing density on susceptibility to the protozoan parasite Ophryocystis elektroscirrha. Larvae were inoculated with parasite spores and reared at three density treatments: low, moderate, and high. We examined the effects of larval density on parasite loads, host survival, development rates, body size, and wing melanism. 3. Results showed an increase in infection probability with greater larval density. Monarchs in the moderate and high density treatments also suffered the greatest negative effects of parasite infection on body size, development rate, and adult longevity. 4. We observed greater body sizes and shorter development times for monarchs reared at moderate densities, and this was true for both unparasitised and parasite‐treated monarchs. We hypothesise that this effect could result from greater larval feeding rates at moderate densities, combined with greater physiological stress at the highest densities. 5. Although monarch larvae are assumed to occur at very low densities in the wild, an analysis of continent‐wide monarch larval abundance data showed that larval densities can reach high levels in year‐round resident populations and during the late phase of the breeding season. Treatment levels used in our experiment captured ecologically‐relevant variation in larval density observed in the wild.     

Host-pathogen interactions: a proteomic view

Host-pathogen interactions reflect the balance of host defenses and pathogen virulence mechanisms. Advances in proteomic technologies now afford opportunities to compare protein content between complex biologic systems ranging from cells to animals and clinical samples. Thus, it is now possible to characterize host-pathogen interactions from a global proteomic view. Most reports to date focus on cataloging protein content of pathogens and identifying virulence-associated proteins or proteomic alterations in host response. A more in-depth understanding of host-pathogen interactions has the potential to improve our mechanistic understanding of pathogenicity and virulence, thereby defining novel therapeutic and vaccine targets. In addition, proteomic characterization of the host response can provide pathogen-specific host biomarkers for rapid pathogen detection and characterization, as well as for early and specific detection of infectious diseases. A review of host-pathogen interactions focusing on proteomic analyses of both pathogen and host will be presented. Relevant genomic studies and host model systems will be also be discussed.     

A proteomic view of the host-pathogen interaction: The host perspective

The host-pathogen interaction represents a complex and dynamic biological system. The outcome of this interaction is dependent on the microbial pathogen properties to establish infection and the ability of the host to control infection. Although bacterial pathogens have evolved a variety of strategies to subvert host defense functions, several general mechanisms have been shown to be shared among these pathogens. As a result, host effectors that are critical for pathogen entry, survival and replication inside the host cells have become a new paradigm for antimicrobial targeting. This review focuses on the potential utility of a proteomics approach in defining the host-pathogen interaction from the host's perspective.     

Host–pathogen interactions: a proteomic view

Host–pathogen interactions reflect the balance of host defenses and pathogen virulence mechanisms. Advances in proteomic technologies now afford opportunities to compare protein content between complex biologic systems ranging from cells to animals and clinical samples. Thus, it is now possible to characterize host–pathogen interactions from a global proteomic view. Most reports to date focus on cataloging protein content of pathogens and identifying virulence-associated proteins or proteomic alterations in host response. A more in-depth understanding of host–pathogen interactions has the potential to improve our mechanistic understanding of pathogenicity and virulence, thereby defining novel therapeutic and vaccine targets. In addition, proteomic characterization of the host response can provide pathogen-specific host biomarkers for rapid pathogen detection and characterization, as well as for early and specific detection of infectious diseases. A review of host–pathogen interactions focusing on proteomic analyses of both pathogen and host will be presented. Relevant genomic studies and host model systems will be also be discussed.     

Alpha-synuclein and Parkinson's disease: a proteomic view

In this review, we report how proteomic methodologies have been used to investigate cellular and animal models of Parkinson's disease (PD), with a special focus on alpha-synuclein. PD is a complex, multifactorial neurodegenerative disease affecting approximately 2% of the population over 65 years of age, pathologically characterized by alpha-synuclein intraneuronal inclusions. Etiopathogenetic mechanisms of PD are not fully understood, although a number of factors contributing to the selective degeneration of substantia nigra neurons have been identified. Therefore, cellular and animal models of the disease have been developed to investigate single factors contributing to disease pathogenesis; for example, alpha-synuclein aggregation and altered dopamine homeostasis. Proteomic studies on cellular and animal models have not only confirmed existing theories on PD pathogenesis (mitochondrial impairment, oxidative stress, failure of the ubiquitine-proteasome system), but also allowed the discovery of new important common features of presymptomatic (or premotor) stages of PD, such as dysregulation of cytoskeletal proteins that could be involved at the origin of the disorder.     

Host response to intravenous injection of epsilon toxin in mouse model: A proteomic view

Epsilon toxin (ETX) is an extremely potent pore‐forming toxin and a category B biological agent. ETX is a major virulence determinant of Clostridium perfringens toxinotypes B and D, and is implicated in pathogenesis of rapidly fatal economically important pulpy kidney disease in lambs caused by toxinotype D. Despite being a toxin, ETX can be utilized as a tool to target glutamatergic neurons and for drug delivery into the CNS. 2DE‐MS approach was employed to elucidate the host response to ETX following intravenous injection in mouse model. In total, 136 proteins were identified either differentially expressed in brain (18) and kidney (33); showing specific interaction with ETX from lysates of brain (4), kidney (21), or from plasma (42); and urine markers (18) of intoxication. Differentially expressed proteins in kidney included those involved in calcium homeostasis and cytoskeletal organization. Proteins involved in ER and oxidative stress and energy metabolism also showed differential levels in the target tissue after ETX treatment. The known functions of the proteins differentially expressed and those interacting with ETX indicate involvement of interlinked pathways. This study provides first proteomic account of host response to ETX exposure providing clues to mechanism of toxicity and potential therapeutic targets.     

Evolution of the secretoglobins: a genomic and proteomic view

Mouse salivary androgen-binding protein (ABP) is a member of the newly erected secretoglobin family, no member of which has yet been assigned an indisputable function. We have suggested a role for ABP in mate selection behaviour and sexual isolation. Although this has been a particularly attractive hypothesis given the evidence for strong positive selection on its alpha subunit gene, Abpa , we have held out the possibility that there might be an as-yet-undiscovered primary function for ABP. This is particularly important in light of its membership in the secretoglobin family, and we are pursuing the broader issue of shared functions of the secretoglobins with genomic and bioinformatic studies. Here we present as complete a comparison as possible of the secretoglobins in the genomes of three species of mammals: mouse, rat and human, and we compare the protein sequences and their potential evolutionary relationships. We suggest that the secretoglobins can be divided into at least five families. In rodent and human genomes, these gene families are found in two main clusters that are syntenic between rat and mouse. Humans have only the three families that are found within the uteroglobin/clara cluster, because no ABP-containing secretoglobin cluster has yet been identified.  © 2005 The Linnean Society of London, Biological Journal of the Linnean Society , 2005, 84 , 493–501.     

Mitochondria in the pathogenesis of diabetes: a proteomic view

Diabetes mellitus is a complex metabolic disorder characterized by chronic hyperglycemia due to absolute or relative lack of insulin. Though great efforts have been made to investigate the pathogenesis of diabetes, the underlying mechanism behind the development of diabetes and its complications remains unexplored. Cumulative evidence has linked mitochondrial modification to the pathogenesis of diabetes and its complications and they are also observed in various tissues affected by diabetes. Proteomics is an attractive tool for the study of diabetes since it allows researchers to compare normal and diabetic samples by identifying and quantifying the differentially expressed proteins in tissues, cells or organelles. Great progress has already been made in mitochondrial proteomics to elucidate the role of mitochondria in the pathogenesis of diabetes and its complications. Further studies on the changes of mitochondrial protein specifically post-translational modifications during the diabetic state using proteomic tools, would provide more information to better understand diabetes.     

Identification of citrus APX gene family and their response to CYVCV infection

Journal of Plant Research - Ascorbate peroxidase (APX) is one of the most important antioxidant enzymes in the reactive oxygen metabolic pathway of plants. The role of APX under biotic and abiotic...     

An integrated proteomic and metabolomic study to evaluate the effect of nucleus-cytoplasm interaction in a diploid citrus cybrid between sweet orange and lemon

Key message

Our results provide a comprehensive overview how the alloplasmic condition might lead to a significant improvement in citrus plant breeding, developing varieties more adaptable to a wide range of conditions.

Abstract

Citrus cybrids resulting from somatic hybridization hold great potential in plant improvement. They represent effective products resulting from the transfer of organelle-encoded traits into cultivated varieties. In these cases, the plant coordinated array of physiological, biochemical, and molecular functions remains the result of integration among different signals, which derive from the compartmentalized genomes of nucleus, plastids and mitochondria. To dissect the effects of genome rearrangement into cybrids, a multidisciplinary study was conducted on a diploid cybrid (C2N), resulting from a breeding program aimed to improve interesting agronomical traits for lemon, the parental cultivars ‘Valencia’ sweet orange (V) and ‘femminello’ lemon (F), and the corresponding somatic allotetraploid hybrid (V?+?F). In particular, a differential proteomic analysis, based on 2D-DIGE and MS procedures, was carried out on leaf proteomes of C2N, V, F and V?+?F, using the C2N proteome as pivotal condition. This investigation revealed differentially represented protein patterns that can be associated with genome rearrangement and cell compartment interplay. Interestingly, most of the up-regulated proteins in the cybrid are involved in crucial biological processes such as photosynthesis, energy production and stress tolerance response. The cybrid differential proteome pattern was concomitant with a general increase of leaf gas exchange and content of volatile organic compounds, highlighting a stimulation of specific pathways that can be related to observed plant performances. Our results contribute to a better understanding how the alloplasmic condition might lead to a substantial improvement in plant breeding, opening new opportunities to develop varieties more adaptable to a wide range of conditions.

     

Global quantitative proteomic analysis profiles host protein expression in response to Sendai virus infection

Sendai virus (SeV) is an enveloped nonsegmented negative‐strand RNA virus that belongs to the genus Respirovirus of the Paramyxoviridae family. As a model pathogen, SeV has been extensively studied to define the basic biochemical and molecular biologic properties of the paramyxoviruses. In addition, SeV‐infected host cells were widely employed to uncover the mechanism of innate immune response. To identify proteins involved in the SeV infection process or the SeV‐induced innate immune response process, system‐wide evaluations of SeV–host interactions have been performed. cDNA microarray, siRNA screening and phosphoproteomic analysis suggested that multiple signaling pathways are involved in SeV infection process. Here, to study SeV–host interaction, a global quantitative proteomic analysis was performed on SeV‐infected HEK 293T cells. A total of 4699 host proteins were quantified, with 742 proteins being differentially regulated. Bioinformatics analysis indicated that regulated proteins were mainly involved in “interferon type I (IFN‐I) signaling pathway” and “defense response to virus,” suggesting that these processes play roles in SeV infection. Further RNAi‐based functional studies indicated that the regulated proteins, tripartite motif (TRIM24) and TRIM27, affect SeV‐induced IFN‐I production. Our data provided a comprehensive view of host cell response to SeV and identified host proteins involved in the SeV infection process or the SeV‐induced innate immune response process.     

Evolutionary adaptation to environmental stressors: a common response at the proteomic level

Mechanistic trade‐offs between traits under selection can shape and constrain evolutionary adaptation to environmental stressors. However, our knowledge of the quantitative and qualitative overlap in the molecular machinery among stress tolerance traits is highly restricted by the challenges of comparing and interpreting data between separate studies and laboratories, as well as to extrapolating between different levels of biological organization. We investigated the expression of the constitutive proteome (833 proteins) of 35 Drosophila melanogaster replicate populations artificially selected for increased resistance to six different environmental stressors. The evolved proteomes were significantly differentiated from replicated control lines. A targeted analysis of the constitutive proteomes revealed a regime‐specific selection response among heat‐shock proteins, which provides evidence that selection also adjusts the constitutive expression of these molecular chaperones. Although the selection response in some proteins was regime specific, the results were dominated by evidence for a “common stress response.” With the exception of high temperature survival, we found no evidence for negative correlations between environmental stress resistance traits, meaning that evolutionary adaptation is not constrained by mechanistic trade‐offs in regulation of functional important proteins. Instead, standing genetic variation and genetic trade‐offs outside regulatory domains likely constrain the evolutionary responses in natural populations.