Mass spectrometry reveals specific and global molecular transformations during viral infection

Ocular Surface Infection Mediated Molecular Stress Responses: A Review

Infection mediated ocular surface stress responses are activated as early defense mechanisms in response to host cell damage. Integrated stress responses initiate the host response to different types of infections and modulate the transcription of key genes and translation of proteins. The crosstalk between host and pathogen results in profound alterations in cellular and molecular homeostasis triggering specific stress responses in the infected tissues. The amplitude and variations of such responses are partly responsible for the disease severity and clinical sequelae. Understanding the etiology and pathogenesis of ocular infections is important for early diagnosis and effective treatment. This review considers the molecular status of infection mediated ocular surface stress responses which may shed light on the importance of the host stress-signaling pathways. In this review, we collated literature on the molecular studies of all ocular surface infections and summarize the results from such studies systematically. Identification of important mediators involved in the crosstalk between the stress response and activation of diverse signaling molecules in host ocular surface infection may provide novel molecular targets for maintaining the cellular homeostasis during infection. These targets can be then explored and validated for diagnostic and therapeutic purposes.

A Transgenic Flock House Virus Replicon Reveals an RNAi Independent Antiviral Mechanism Acting in Drosophila Follicular Somatic Cells

The small interfering RNA (siRNA) pathway is the main and best studied invertebrate antiviral response. Other poorly characterized protein based antiviral mechanisms also contribute to the control of viral replication in insects. In addition, it remains unclear whether tissue specific factors contribute to RNA and protein-based antiviral immunity mechanisms. In vivo screens to identify such factors are challenging and time consuming. In addition, the scored phenotype is usually limited to survival and/or viral load. Transgenic viral replicons are valuable tools to overcome these limitations and screen for novel antiviral factors. Here we describe transgenic Drosophila melanogaster lines encoding a Flock House Virus-derived replicon (FHV∆B2eGFP), expressing GFP as a reporter of viral replication. This replicon is efficiently controlled by the siRNA pathway in most somatic tissues, with GFP fluorescence providing a reliable marker for the activity of antiviral RNAi. Interestingly, in follicular somatic cells (FSC) of ovaries, this replicon is still partially repressed in an siRNA independent manner. We did not detect replicon derived Piwi-interacting RNAs in FSCs and identified 31 differentially expressed genes between restrictive and permissive FSCs. Altogether, our results uncovered a yet unidentified RNAi-independent mechanism controlling FHV replication in FSCs of ovaries and validate the FHV∆B2eGFP replicon as a tool to screen for novel tissue specific antiviral mechanisms.

Thermodynamic properties of water molecules in the presence of cosolute depend on DNA structure: a study using grid inhomogeneous solvation theory

In conditions that mimic those of the living cell, where various biomolecules and other components are present, DNA strands can adopt many structures in addition to the canonical B-form duplex. Previous studies in the presence of cosolutes that induce molecular crowding showed that thermal stabilities of DNA structures are associated with the properties of the water molecules around the DNAs. To understand how cosolutes, such as ethylene glycol, affect the thermal stability of DNA structures, we investigated the thermodynamic properties of water molecules around a hairpin duplex and a G-quadruplex using grid inhomogeneous solvation theory (GIST) with or without cosolutes. Our analysis indicated that (i) cosolutes increased the free energy of water molecules around DNA by disrupting water–water interactions, (ii) ethylene glycol more effectively disrupted water–water interactions around Watson–Crick base pairs than those around G-quartets or non-paired bases, (iii) due to the negative electrostatic potential there was a thicker hydration shell around G-quartets than around Watson–Crick-paired bases. Our findings suggest that the thermal stability of the hydration shell around DNAs is one factor that affects the thermal stabilities of DNA structures under the crowding conditions.

Proteome analysis of porcine epidemic diarrhea virus (PEDV)-infected Vero cells

Porcine epidemic diarrhea virus (PEDV) causes an acute, highly contagious, and devastating viral enteric disease with a high mortality rate in suckling pigs. A large‐scale outbreak of PED occurred in China in 2010, with PEDV emerging in the United States in 2013 and spreading rapidly, posing significant economic and public health concerns. In this study, LC–MS/MS coupled to iTRAQ labeling was used to quantitatively identify differentially expressed cellular proteins in PEDV‐infected Vero cells. We identified 49 differentially expressed cellular proteins, of which 8 were upregulated and 41 downregulated. These differentially expressed proteins were involved in apoptosis, signal transduction, and stress responses. Based on these differentially expressed proteins, we propose that PEDV might utilize apoptosis and extracellular signal regulated kinases pathways for maximum viral replication. Our study is the first attempt to analyze the protein profile of PEDV‐infected cells by quantitative proteomics, and we believe our findings provide valuable information with respect to better understanding the host response to PEDV infection.

Proteome profiling of virus-host interactions of wild type and attenuated measles virus strains

Quantitative gel-based proteomics (2D DIGE coupled to MALDI-TOF/TOF MS) has been used to investigate the effects of different measles virus (MV) strains on the host cell proteome. A549/hSLAM cells were infected either with wild type MV strains, an attenuated vaccine or a multiple passaged Vero cell adapted strain. By including interferon beta treatment as a control it was possible to distinguish between the classical antiviral response and changes induced specifically by the different strains. Of 38 differentially expressed proteins in total (p-value ≤0.05, fold change ≥2), 18 proteins were uniquely modulated following MV infection with up to 9 proteins specific per individual strain. Interestingly, wt strains displayed distinct protein patterns particularly during the late phase of infection. Proteins were grouped into cytoskeleton, metabolism, transcription/translation, immune response and mitochondrial proteins. Bioinformatics analysis revealed mostly changes in proteins regulating cell death and apoptosis. Surprisingly, wt strains affected the cytokeratin system much stronger than the vaccine strain. To our knowledge, this is the first study on the MV-host proteome addressing interstrain differences.

BIOLOGICAL SIGNIFICANCE

In the present study we investigated the host cell proteome upon measles virus (MV) infection. The novelty about this study is the side-by side comparison of different strains from the same virus, which has not been done at the proteome level for any other virus including MV. We used different virus strains including a vaccine strain, wild type isolates derived from MV-infected patients as well as a Vero cell adapted strain, which serves as an intermediate between vaccine and wild type strain. We observed differences between vaccine and wild type strains as well as common features between different wild type strains. Perhaps one of the most surprising findings was that differences did not only occur between wild type and vaccine or Vero cell adapted strains but also between different wild type strains. In fact our study suggests that besides the cytokeratin and the IFN system wild type viruses seem to differ as much among each other than from vaccine strains. Thus our results are suggestive of complex and diverse virus-host interactions which differ considerably between different wild type strains. Our data indicate that interstrain differences are prominent and have so far been neglected by proteomics studies.

Charge detection mass spectrometry of bacteriophage P22 procapsid distributions above 20 MDa

RATIONALE

Charge state resolution is required to determine the masses of ions in electrospray mass spectrometry, a feat which becomes increasingly difficult as the mass increases. Charge detection mass spectrometry (CDMS) circumvents this limitation by simultaneously measuring the charge and the m/z of individual ions. In this work, we have used electrospray CDMS to determine the number of scaffolding proteins associated with bacteriophage P22 procapsids.

METHODS

P22 procapsids containing a native cargo of scaffolding protein were assembled in E. coli and purified via differential centrifugation. Electrospray CDMS was used to measure their mass distribution.

RESULTS

The procapsid peak was centered at 23.60 MDa, which indicates that they contain an average of ~112 scaffolding proteins. The distribution is relatively narrow, less than 31 scaffolding proteins wide. In addition, a peak at 19.84 MDa with a relative abundance of ~15% is attributed to empty capsids. Despite having the same sizes in solution, the empty capsid and the procapsid have significantly different average charges.

CONCLUSIONS

The detection of empty capsids is unexpected and the process that leads to them is unknown. The average charge on the empty capsids is significantly lower than expected from the charge residue model, which probably indicates that the empty capsids have contracted in the gas phase. The scaffolding protein presumably limits the contraction of the procapsids. This work shows that electrospray CDMS can provide valuable information for masses greater than 20 MDa.

Proteomic strategies for the discovery of novel diagnostic and therapeutic targets for infectious diseases

Viruses have developed numerous and elegant strategies to manipulate the host cell machinery to establish a productive infectious cycle. The interaction of viral proteins with host proteins plays an important role in infection and pathogenesis, often bypassing traditional host defenses such as the interferon response and apoptosis. Host–viral protein interactions can be studied using a variety of proteomic approaches ranging from genetic and biochemical to large‐scale high‐throughput technologies. Protein interactions between host and viral proteins are greatly influenced by host signal transduction pathways. In this review, we will focus on comparing proteomic information obtained through differing technologies and how their integration can be used to determine the functional aspect of the host response to infection. We will briefly review and evaluate techniques employed to elucidate viral–host interactions with a primary focus on Protein Microarrays (PMA) and Mass Spectrometry (MS) as potential tools in the discovery of novel therapeutic targets. As many potential molecular markers and targets are proteins, proteomic profiling is expected to yield both clearer and more direct answers to functional and pharmacologic questions.

Cellular responses in Bacillus thuringiensis CS33 during bacteriophage BtCS33 infection

Bacillus thuringiensis (Bt) has been widely used for 50years as a biopesticide for controlling insect pests. However, bacteriophage infection can cause failures in 50%-80% of the batches during Bt fermentation, resulting in severe losses. In the present work, the physiological and biochemical impacts of Bt strain CS33 have been studied during bacteriophage infection. This study adopted a gel-based proteomics approach to probe the sequential changed proteins in phage-infected Bt cells. To phage, it depressed the host energy metabolism by suppressing the respiration chain, the TCA cycle, and the utilization of PHB on one hand; on the other hand, it hijacked the host translational machine for its own macromolecular synthesis. To host, superinfection exclusion might be triggered by the changes of S-layer protein and flagella related proteins, which were located on the cell surface and might play as the candidates for the phage recognition. More importantly, the growth rate, cell mass, and ICPs yield were significantly decreased. The low yield of ICPs was mainly due to the suppressed utilization of PHB granules. Further functional study on these altered proteins may lead to a better understanding of the pathogenic mechanisms and the identification of new targets for phage control.

BIOLOGICAL SIGNIFICANCE

B. thuringiensis (Bt) has been widely used for 50years as a safe biopesticide for controlling agricultural and sanitary insect pests. However, bacteriophage infection can cause severe losses during B. thuringiensis fermentation. The processes and consequences of interactions between bacteriophage and Bt were still poorly understood, and the molecular mechanisms involved were more unknown. This study adopted a gel-based proteomics approach to probe the physiological and biochemical impacts of Bt strain CS33 after phage-infection. The interactions between phage BtCS33 and its host Bt strain CS33 occurred mainly on four aspects. First, phage synthesized its nucleic acids through metabolic regulation by increasing the amount of NDK. Second, it is reasonable to infer that a phage resistance or superinfection exclusion was triggered by several increased or decreased proteins (SLP, FliD, FlaB), which were located on the cell surface and might play as candidates for the phage recognition. Third, combining the decreased flavoproteins (SdhA and EtfB) and the down regulated Fe-S cluster biosynthesis pathway together, it can be suggested that the respiration chain was weakened after phage infection. Additionally, three key enzymes (AcnB, FumC and AdhA) involved in the TCA cycle were all decreased, indicating the TCA cycle was seriously inhibited after infection. Fourth, the growth rate, cell mass and ICPs yield of the host were significantly decreased. To the best of our knowledge, this work represents the first systematic study on the interactions of an insecticidal bacterium with its phage, and has contributed novel information to understand the molecular events in the important biological pesticide producer, B. thuringiensis, in response to phage challenge.

Viruses and antiviral immunity in Drosophila

Viral pathogens present many challenges to organisms, driving the evolution of a myriad of antiviral strategies to combat infections. A wide variety of viruses infect invertebrates, including both natural pathogens that are insect-restricted, and viruses that are transmitted to vertebrates. Studies using the powerful tools in the model organism Drosophila have expanded our understanding of antiviral defenses against diverse viruses. In this review, we will cover three major areas. First, we will describe the tools used to study viruses in Drosophila. Second, we will survey the major viruses that have been studied in Drosophila. And lastly, we will discuss the well-characterized mechanisms that are active against these diverse pathogens, focusing on non-RNAi mediated antiviral mechanisms. Antiviral RNAi is discussed in another paper in this issue.

Role of genomic and proteomic tools in the study of host-virus interactions and virus evolution

Viruses have short replication cycles and produce genomic variants within a host, a process that seems to adapt to their specific host and also enable them to infect new hosts. The recent emergence of viral genomic variants from the circulating pool within the host population and re-emergence of the old ones are posing serious threat to agriculture, animal husbandry and humanity as a whole. This review assesses the potential role of genomic and proteomic tools that can monitor not only the course of infection and pathogenesis, but also predict the pandemic or zoonotic epidemic potential of a virus in a previously exposed or immunologically naive biological population.

Cytoplasmic granule formation and translational inhibition of nodaviral RNAs in the absence of the double-stranded RNA binding protein B2

Flock House virus (FHV) is a positive-sense RNA insect virus with a bipartite genome. RNA1 encodes the RNA-dependent RNA polymerase, and RNA2 encodes the capsid protein. A third protein, B2, is translated from a subgenomic RNA3 derived from the 3' end of RNA1. B2 is a double-stranded RNA (dsRNA) binding protein that inhibits RNA silencing, a major antiviral defense pathway in insects. FHV is conveniently propagated in Drosophila melanogaster cells but can also be grown in mammalian cells. It was previously reported that B2 is dispensable for FHV RNA replication in BHK21 cells; therefore, we chose this cell line to generate a viral mutant that lacked the ability to produce B2. Consistent with published results, we found that RNA replication was indeed vigorous but the yield of progeny virus was negligible. Closer inspection revealed that infected cells contained very small amounts of coat protein despite an abundance of RNA2. B2 mutants that had reduced affinity for dsRNA produced analogous results, suggesting that the dsRNA binding capacity of B2 somehow played a role in coat protein synthesis. Using fluorescence in situ hybridization of FHV RNAs, we discovered that RNA2 is recruited into large cytoplasmic granules in the absence of B2, whereas the distribution of RNA1 remains largely unaffected. We conclude that B2, by binding to double-stranded regions in progeny RNA2, prevents recruitment of RNA2 into cellular structures, where it is translationally silenced. This represents a novel function of B2 that further contributes to successful completion of the nodaviral life cycle.

Identification of cellular proteome using two-dimensional difference gel electrophoresis in ST cells infected with transmissible gastroenteritis coronavirus

Background

Transmissible gastroenteritis coronavirus (TGEV) is an enteropathogenic coronavirus that causes diarrhea in pigs, which is correlated with high morbidity and mortality in suckling piglets. Information remains limited about the comparative protein expression of host cells in response to TGEV infection. In this study, cellular protein response to TGEV infection in swine testes (ST) cells was analyzed, using the proteomic method of two-dimensional difference gel electrophoresis (2D DIGE) coupled with MALDI-TOF-TOF/MS identification.

Results

33 differentially expressed protein spots, of which 23 were up-regulated and 10 were down-regulated were identified. All the protein spots were successfully identified. The identified proteins were involved in the regulation of essential processes such as cellular structure and integrity, RNA processing, protein biosynthesis and modification, vesicle transport, signal transduction, and the mitochondrial pathway. Western blot analysis was used to validate the changes of alpha tubulin, keratin 19, and prohibitin during TGEV infection.

Conclusions

To our knowledge, we have performed the first analysis of the proteomic changes in host cell during TGEV infection. 17 altered cellular proteins that differentially expressed in TGEV infection were identified. The present study provides protein-related information that should be useful for understanding the host cell response to TGEV infection and the underlying mechanism of TGEV replication and pathogenicity.

Beyond RNAi: antiviral defense strategies in Drosophila and mosquito

Virus transmission and spread by arthropods is a major economic and public health concern. The ongoing dissemination of arthropod-borne viruses by blood-feeding insects is an important incentive to study antiviral immunity in these animals. RNA interference is a major mechanism for antiviral defense in insects, including the fruit fly Drosophila melanogaster and several vector mosquitoes. However, recent data suggest that the evolutionary conserved Toll, Imd and Jak-Stat signaling pathways also contribute to antiviral immunity. Moreover, symbionts, such as the intracellular bacterium Wolbachia and the gut microflora, influence the course of virus infection in insects. These results add an additional level of complexity to antiviral immunity, but also provide novel opportunities to control the spread of arboviruses. In this review, we provide an overview of the current knowledge and recent developments in antiviral immunity in Dipteran insects, with a focus on non-RNAi mediated inducible responses.

Live-attenuated measles virus vaccine confers cell contact loss and apoptosis of ovarian cancer cells via ROS-induced silencing of E-cadherin by methylation

Herein we present a novel molecular mechanism of the antitumor effects of live-attenuated measles virus (MV) vaccine in ovarian cancer. Using a 2-DE/MS-based comparative proteomics strategy, we identified 17 proteins differentially expressed in live-attenuated MV vaccine-treated SKOV-3 ovarian cancer cells, including oxidative stress-associated enzymes and cell contact-related proteins, which indicated that live-attenuated MV vaccine could induce aberrant ROS activation. It further mediated epigenetic silencing of E-cadherin via upregulating DNMT3a that conferred both cell-cell and cell-matrix contact loss and apoptosis of ovarian cancer cells. This process could be reversed through ROS inhibition. Our study lays the theoretical foundation for the clinical application of live-attenuated MV vaccine as a potential oncotherapeutic agent for ovarian cancer treatment.

Viral proteomics: the emerging cutting-edge of virus research

Viruses replicate and proliferate in host cells while continuously adjusting to and modulating the host environment. They encode a wide spectrum of multifunctional proteins, which interplay with and modify proteins in host cells. Viral genomes were chronologically the first to be sequenced. However, the corresponding viral proteomes, the alterations of host proteomes upon viral infection, and the dynamic nature of proteins, such as post-translational modifications, enzymatic cleavage, and activation or destruction by proteolysis, remain largely unknown. Emerging high-throughput techniques, in particular quantitative or semi-quantitative mass spectrometry-based proteomics analysis of viral and cellular proteomes, have been applied to define viruses and their interactions with their hosts. Here, we review the major areas of viral proteomics, including virion proteomics, structural proteomics, viral protein interactomics, and changes to the host cell proteome upon viral infection.

Proteomic analysis of zebrafish (Danio rerio) infected with infectious spleen and kidney necrosis virus

Iridovirus infections remain a severe problem in aquaculture industries worldwide. Infectious spleen and kidney necrosis virus (ISKNV), the type species of the genus Megalocytovirus in the family Iridoviridae, has caused significant economic losses among freshwater fish in different Asian countries. To investigate the molecular mechanism of iridoviral pathogenesis, we analyzed the differential proteome from the spleen of ISKNV-infected zebrafish through two-dimensional gel electrophoresis (2-DE). Mass spectrometry revealed 35 altered cellular protein spots, including 15 upregulated proteins and 20 downregulated proteins at five days post-infection. The altered host proteins were classified into 13 categories based on their biological processes: cytoskeletal protein, stress response, lipoprotein metabolism, ubiquitin-proteasome pathway, carbohydrate metabolism, signal transduction, proteolysis, ion binding, transport, metabolic process, catabolic process, biosynthesis, and oxidation reduction. Moreover, 14 corresponding genes of the differentially expressed proteins were validated by RT-PCR. Western blot analysis further demonstrated the changes in α-tubulin, β-actin, HSC70, and major capsid protein (MCP) during infection. β-Actin was selected for further study via co-immunoprecipitation analyses, which confirmed that the cellular β-actin interacts with the MCP protein of ISKNV in the infected zebrafish. These findings provide insight into the interactions between iridoviruses (especially ISKNV) and host, as well as the mechanism and pathogenesis of ISKNV infections.

Direct detection of diverse metabolic changes in virally transformed and tax-expressing cells by mass spectrometry

Background

Viral transformation of a cell starts at the genetic level, followed by changes in the proteome and the metabolome of the host. There is limited information on the broad metabolic changes in HTLV transformed cells.

Methods and Principal Findings

Here, we report the detection of key changes in metabolites and lipids directly from human T-lymphotropic virus type 1 and type 3 (HTLV1 and HTLV3) transformed, as well as Tax1 and Tax3 expressing cell lines by laser ablation electrospray ionization (LAESI) mass spectrometry (MS). Comparing LAESI-MS spectra of non-HTLV1 transformed and HTLV1 transformed cells revealed that glycerophosphocholine (PC) lipid components were dominant in the non-HTLV1 transformed cells, and PC(O-32∶1) and PC(O-34∶1) plasmalogens were displaced by PC(30∶0) and PC(32∶0) species in the HTLV1 transformed cells. In HTLV1 transformed cells, choline, phosphocholine, spermine and glutathione, among others, were downregulated, whereas creatine, dopamine, arginine and AMP were present at higher levels. When comparing metabolite levels between HTLV3 and Tax3 transfected 293T cells, there were a number of common changes observed, including decreased choline, phosphocholine, spermine, homovanillic acid, and glycerophosphocholine and increased spermidine and N-acetyl aspartic acid. These results indicate that the lipid metabolism pathway as well as the creatine and polyamine biosynthesis pathways are commonly deregulated after expression of HTLV3 and Tax3, indicating that the noted changes are likely due to Tax3 expression. N-acetyl aspartic acid is a novel metabolite that is upregulated in all cell types and all conditions tested.

Conclusions and Significance

We demonstrate the high throughput in situ metabolite profiling of HTLV transformed and Tax expressing cells, which facilitates the identification of virus-induced perturbations in the biochemical processes of the host cells. We found virus type-specific (HTLV1 vs. HTLV3), expression-specific (Tax1 vs. Tax3) and cell-type–specific (T lymphocytes vs. kidney epithelial cells) changes in the metabolite profiles. The new insight on the affected metabolic pathways can be used to better understand the molecular mechanisms of HTLV induced transformation, which in turn can result in new treatment strategies.

When peptides fly: advances in Drosophila proteomics

In the past decade, improvements in genome annotation, protein fractionation methods and mass spectrometry instrumentation resulted in rapid growth of Drosophila proteomics. This review presents the current status of proteomics research in the fly. Areas that have seen major advances in recent years include efforts to map and catalog the Drosophila proteome and high-throughput as well as targeted studies to analyze protein-protein interactions and post-translational modifications. Stable isotope labeling of flies and other applications of quantitative proteomics have opened up new possibilities for functional analyses. It is clear that proteomics is becoming an indispensable tool in Drosophila systems biology research that adds a unique dimension to studying gene function.

Complementary transcriptomic, lipidomic, and targeted functional genetic analyses in cultured Drosophila cells highlight the role of glycerophospholipid metabolism in Flock House virus RNA replication

Background

Cellular membranes are crucial host components utilized by positive-strand RNA viruses for replication of their genomes. Published studies have suggested that the synthesis and distribution of membrane lipids are particularly important for the assembly and function of positive-strand RNA virus replication complexes. However, the impact of specific lipid metabolism pathways in this process have not been well defined, nor have potential changes in lipid expression associated with positive-strand RNA virus replication been examined in detail.

Results

In this study we used parallel and complementary global and targeted approaches to examine the impact of lipid metabolism on the replication of the well-studied model alphanodavirus Flock House virus (FHV). We found that FHV RNA replication in cultured Drosophila S2 cells stimulated the transcriptional upregulation of several lipid metabolism genes, and was also associated with increased phosphatidylcholine accumulation with preferential increases in lipid molecules with longer and unsaturated acyl chains. Furthermore, targeted RNA interference-mediated downregulation of candidate glycerophospholipid metabolism genes revealed a functional role of several genes in virus replication. In particular, we found that downregulation of Cct1 or Cct2, which encode essential enzymes for phosphatidylcholine biosynthesis, suppressed FHV RNA replication.

Conclusion

These results indicate that glycerophospholipid metabolism, and in particular phosphatidylcholine biosynthesis, plays an important role in FHV RNA replication. Furthermore, they provide a framework in which to further explore the impact of specific steps in lipid metabolism on FHV replication, and potentially identify novel cellular targets for the development of drugs to inhibit positive-strand RNA viruses.

Differential proteome analysis of host cells infected with porcine circovirus type 2

Porcine circovirus type 2 (PCV2) is the primary causative agent of postweaning multisystemic wasting syndrome, which is an emerging swine immunosuppressive disease. To uncover cellular protein responses in PCV2-infected PK-15 cells, the comprehensive proteome profiles were analyzed utilizing two-dimensional gel electrophoresis (2-DE) coupled with MALDI-TOF/TOF identification. Multiple comparisons of 2-DE revealed that the majority of changes in protein expression occurred at 48-96 h after PCV2 infection. A total of 34 host-encoded proteins, including 15 up-regulated and 19 down-regulated proteins, were identified by MALDI-TOF/TOF analysis. According to cellular function, the differential expression proteins could be sorted into several groups: cytoskeleton proteins, stress response, macromolecular biosynthesis, energy metabolism, ubiquitin-proteasome pathway, signal transduction, gene regulation. Western blot analysis demonstrated the changes of alpha tubulin, beta actin, and cytokeratin 8 during infection. Colocalization and coimmunoprecipitation analyses confirmed that the cellular alpha tubulin interacts with the Cap protein of PCV2 in the infected PK-15 cells. These identified cellular constituents have important implications for understanding the host interactions with PCV2 and brings us a step closer to defining the cellular requirements for the underlying mechanism of PCV2 replication and pathogenesis.

Current trends in quantitative proteomics

It was inevitable that as soon as mass spectrometrists were able to tell biologists which proteins were in their samples, the next question would be how much of these proteins were present. This has turned out to be a much more challenging question. In this review, we describe the multiple ways that mass spectrometry has attempted to address this issue, both for relative quantitation and for absolute quantitation of proteins. There is no single method that will work for every problem or for every sample. What we present here is a variety of techniques, with guidelines that we hope will assist the researcher in selecting the most appropriate technique for the particular biological problem that needs to be addressed. We need to emphasize that this is a very active area of proteomics research-new quantitative methods are continuously being introduced and some 'pitfalls' of older methods are just being discovered. However, even though there is no perfect technique--and a better technique may be developed tomorrow--valuable information on biomarkers and pathways can be obtained using these currently available methods.

Response and recovery in the plasma metabolome tracks the acute LCMV-induced immune response

Lymphocytic choriomeningitis virus (LCMV) infection of mice is noncytopathic, producing well-characterized changes reflecting the host immune response. Untargeted metabolomics using mass spectrometry identified endogenous small molecule changes in blood from mice inoculated with LCMV, sampled at days 1, 3, 7, and 14 post infection. These time points correspond to well characterized events during acute LCMV infection and the immune response. Diverse pathways were altered, including TCA cycle intermediates, gamma-glutamyl dipeptides, lysophosphatidyl cholines, and fatty acids. The kynurenine pathway was activated, surprising because it is stimulated by IFN-gamma, which LCMV suppresses, thus, suggesting alternative activators. In contrast, biopterin/neopterin, another IFN-gamma stimulated pathway, was not activated. Many metabolites followed "response and recovery" kinetics, decreasing after infection to a minimum at days 3-7, and returning to normal by day 14. The TCA pathway followed this pattern, including citrate, cis-aconitate and alpha-ketoglutarate, intriguing because succinate has been shown to mediate cellular immunity. This response and recovery dynamic tracks the immune response, including the rise and fall of natural killer cell populations, serum TNF receptor concentration, and viral clearance. Metabolomics can provide target pathways for molecular diagnostics or therapeutics of viral infection and immunity.

Anopheles gambiae Croquemort SCRBQ2, expression profile in the mosquito and its potential interaction with the malaria parasite Plasmodium berghei

The scavenger receptor family comprises transmembrane proteins involved in the recognition of polyanionic ligands. Several studies have established that members of this family are involved both in immunity and in developmental processes. In Drosophila melanogaster, one of the best characterized scavenger receptors is Croquemort, which participates in the recognition of apoptotic cells in the embryo. Although comparative genomic studies have revealed the presence of four orthologs of this receptor in the malaria vector Anopheles gambiae, little is known about their function. We have investigated the expression pattern of the four Croquemort orthologs during the mosquito life cycle. Croquemort transcripts SCRBQ2 and SCRBQ4 are expressed at all the developmental stages, while expression of Croquemort transcripts SCRBQ1 and SCRBQ3 is more restricted. We have also investigated the expression of the four Croquemort orthologs in the different organs of the adult female. Croquemort transcript SCRBQ2 is highly expressed in the A. gambiae female midgut. SCRBQ2 midgut gene expression was up-regulated after a non-infected or a Plasmodium berghei-infected blood meal, compared to its expression in midguts of sugar-fed females. Interestingly, knockdown of SCRBQ2 expression by dsRNA injection resulted in a 62.5% inhibition of oocyst formation, suggesting that SCRBQ2 plays a role in Plasmodium-mosquito interactions.

Metabolomics: moving to the clinic

Assessment of a biological system by means of global and non-targeted metabolite profiling--metabolomics or metabonomics--provides the investigator with molecular information that is close to the phenotype in question in the sense that metabolites are an ultimate product of gene, mRNA, and protein activity. Over the last few years, there has been a rapidly growing number of metabolomics applications aimed at finding biomarkers which could assist diagnosis, provide therapy guidance, and evaluate response to therapy for particular diseases. Also, within the fields of drug discovery, drug toxicology, and personalized pharmacology, metabolomics is emerging as a powerful tool. This review seeks to update the reader on analytical strategies, biomarker findings, and implications of metabolomics for the clinic. Particular attention is paid to recent biomarkers found related to neurological, cardiovascular, and cancer diseases. Moreover, the impact of metabolomics in the drug discovery and development process is examined.

Modeling subacute sclerosing panencephalitis in a transgenic mouse system: uncoding pathogenesis of disease and illuminating components of immune control

Subacute sclerosing panencephalitis (SSPE) is a chronic neurodegenerative disease of the central nervous system (CNS) that afflicts eight to 20 individuals per one million of those who become infected with measles virus (MV). The six cardinal elements of SSPE are: (1) progressive fatal CNS disease developing several years after MV infection begins; (2) replication of MV in neurons; (3) defective nonreplicating MV in the CNS that is recoverable by co-cultivation with permissive tissue culture cells; (4) biased hypermutation of the MV recovered from the CNS with massive A to G (U to C) base changes primarily in the M gene of the virus; (5) high titers of antibody to MV; and (6) infiltration of B and T cells into the CNS. All these parameters can be mimicked in a transgenic (tg) mouse model that expresses the MV receptor, thus enabling infection of a usually uninfectable mouse in which the immune system is or is not manipulated. Utilization and analysis of such mice have illuminated how chronic measles virus infection of neurons can be initiated and maintained, leading to the SSPE phenotype. Further, an active role in prolonging MV replication while inhibiting its spread in the CNS can be mapped to a direct affect of the biased hypermutations (A to G changes) of the MV M gene in vivo.

Host Factors Promoting Viral RNA Replication

Plus-stranded RNA viruses, the largest group among eukaryotic viruses, are capable of reprogramming host cells by subverting host proteins and membranes, by co-opting and modulating protein and ribonucleoprotein complexes, and by altering cellular pathways during infection. To achieve robust replication, plus-stranded RNA viruses interact with numerous cellular molecules via protein–protein, RNA–protein, and protein–lipid interactions using molecular mimicry and other means. These interactions lead to the transformation of the host cells into viral “factories" that can produce 10,000–1,000,000 progeny RNAs per infected cell. This chapter presents the progress that was made largely in the last 15 years in understanding virus–host interactions during RNA virus replication. The most commonly employed approaches to identify host factors that affect plus-stranded RNA virus replication are described. In addition, we discuss many of the identified host factors and their proposed roles in RNA virus replication. Altogether, host factors are key determinants of the host range of a given virus and affect virus pathology, host–virus interactions, as well as virus evolution. Studies on host factors also contribute insights into their normal cellular functions, thus promoting understanding of the basic biology of the host cell. The knowledge obtained in this fast-progressing area will likely stimulate the development of new antiviral methods as well as novel strategies that could make plus-stranded RNA viruses useful in bio- and nanotechnology.

Identification of replication-competent HSV-1 Cgal+ strain signaling targets in human hepatoma cells by functional organelle proteomics

In the present work, we have attempted a comprehensive analysis of cytosolic and microsomal proteomes to elucidate the signaling pathways impaired in human hepatoma (Huh7) cells upon herpes simplex virus type 1 (HSV-1; Cgal(+)) infection. Using a combination of differential in-gel electrophoresis and nano liquid chromatography/tandem mass spectrometry, 18 spots corresponding to 16 unique deregulated cellular proteins were unambiguously identified, which were involved in the regulation of essential processes such as apoptosis, mRNA processing, cellular structure and integrity, signal transduction, and endoplasmic-reticulum-associated degradation pathway. Based on our proteomic data and additional functional studies target proteins were identified indicating a late activation of apoptotic pathways in Huh7 cells upon HSV-1 Cgal(+) infection. Additionally to changes on RuvB-like 2 and Bif-1, down-regulation of Erlin-2 suggests stimulation of Ca(2+)-dependent apoptosis. Moreover, activation of the mitochondrial apoptotic pathway results from a time-dependent multi-factorial impairment as inferred from the stepwise characterization of constitutive pro- and anti-apoptotic factors. Activation of serine-threonine protein phosphatase 2A (PP2A) was also found in Huh7 cells upon HSV-1 Cgal(+) infection. In addition, PP2A activation paralleled dephosphorylation and inactivation of downstream mitogen-activated protein (MAP) kinase pathway (MEK(1/2), ERK(1/2)) critical to cell survival and activation of proapoptotic Bad by dephosphorylation of Ser-112. Taken together, our results provide novel molecular information that contributes to define in detail the apoptotic mechanisms triggered by HSV-1 Cgal(+) in the host cell and lead to the implication of PP2A in the transduction of cell death signals and cell survival pathway arrest.

Quantitative proteomics as a new piece of the systems biology puzzle

The definition of the role of each gene product in its cellular context is of outstanding importance in the post-genomics era. Recent technological innovations have driven research in proteomics from single protein characterization to global approaches, aiming to achieve a comprehensive qualitative and quantitative description of complex molecular mechanisms. In this review, we discuss the methodology of quantitative proteomics as it applies to the analysis of complex biological model systems. A special attention will be given to model systems that are suitable for functional genomic studies, where the potential of quantitative proteomics can be effectively demonstrated.

Multi-disciplinary studies of viruses: the role of structure in shaping the questions and answers

This contribution to the 50th anniversary issue of the Journal of Structural Biology traces a path in which the author evolved from seeing macromolecular structure as end in it self to a means of organizing and correlating data from many sources. The author looks at where we have been and where we are going in this enterprise and the role that structure plays in defining ever more ambitious biological questions and testing and refining models that incorporate data from many techniques. In this, essentially, personal account, the author reflects on 35 years of structural virology and the stages experienced; from "stand alone" crystallography of virus particles to the study of virus assembly and maturation in vitro and eventually into the entire virus infection process from particle cell entry to egress. In the process data from many sources were incorporated into reasonable and testable models based on structures ranging in resolution from near-atomic determined by crystallography, to nanometer, determined by electron cryo-microscopy and image reconstruction, to five nanometer tomographic studies in the cell. The technological development over this period, for structural studies at all resolutions and functional studies that were unimaginable three decades ago, has been astonishing. Here we look at an aspect of this development applied to virology.

Viral proteomics: global evaluation of viruses and their interaction with the host

Viruses constantly adapt to and modulate the host environment during replication and propagation. Both DNA and RNA viruses encode multifunctional proteins that interact with and modify host cell proteins. While viral genomes were the first complete sequences known, the corresponding proteomes are only now elucidated, with some surprising results. Even more daunting is the task to globally monitor the impact of viral infection on the proteome of the host cell and many technical hurdles must still be overcome in order to facilitate robust and reproducible measurements. Further complicating the picture is the dynamic nature of proteins, including post-translational modifications, enzymatic cleavage and activation or destruction by proteolytic events. Nevertheless, several promising studies have been published using high-throughput methods directly measuring protein abundance. Particularly, quantitative or semiquantitative mass spectrometry-based analysis of viral and cellular proteomes are now being used to characterize viruses and their host interaction. In addition, the full set of interactions between viral and host proteins, the interactome, is beginning to emerge, with often unexpected interactions that need to be carefully validated. In this review, we will discuss two major areas of viral proteomics: first, virion proteomics (such as the protein characterization of viral particles) and second, proteoviromics, including the viral protein interactomics and the quantitative analysis of host cell proteome during viral infection.

Yeast as a model host to explore plant virus-host interactions

The yeast Saccharomyces cerevisiae is invaluable for understanding fundamental cellular processes and disease states of relevance to higher eukaryotes. Plant viruses are intracellular parasites that take advantage of resources of the host cell, and a simple eukaryotic cell, such as yeast, can provide all or most of the functions for successful plant virus replication. Thus, yeast has been used as a model to unravel the interactions of plant viruses with their hosts. Indeed, genome-wide and proteomics studies using yeast as a model host with bromoviruses and tombusviruses have facilitated the identification of replication-associated factors that affect host-virus interactions, virus pathology, virus evolution, and host range. Many of the host genes that affect the replication of the two viruses, which belong to two dissimilar virus families, are distinct, suggesting that plant viruses have developed different ways to utilize the resources of host cells. In addition, a surprisingly large number of yeast genes have been shown to affect RNA-RNA recombination in tombusviruses; this opens an opportunity to study the role of the host in virus evolution. The knowledge gained about host-virus interactions likely will lead to the development of new antiviral methods and applications in biotechnology and nanotechnology, as well as new insights into cellular functions of individual genes and the basic biology of the host cell.

Proteomics analysis of host cells infected with infectious bursal disease virus

The effect of infectious bursal disease virus (IBDV) infection on cellular protein expression is essential for viral pathogenesis. To characterize the cellular response to IBDV infection, the differential proteomes of chicken embryo fibroblasts, with and without IBDV infection, were analyzed at different time points with two-dimensional gel electrophoresis (2-DE) followed by MALDI-TOF/TOF identification. Comparative analysis of multiple 2-DE gels revealed that the majority of protein expression changes appeared at 48 and 96 h after IBDV infection. Mass spectrometry identified 51 altered cellular proteins, including 13 up-regulated proteins and 38 down-regulated proteins 12-96 h after infection. Notably 2-DE analysis revealed that IBDV infection induced the increased expression of polyubiquitin, apolipoprotein A-I, heat shock 27-kDa protein 1, actins, tubulins, eukaryotic translation initiation factor 4A isoform 2, acidic ribosomal phosphoprotein, and ribosomal protein SA isoform 2. In addition, IBDV infection considerably suppressed those cellular proteins involved in ubiquitin-mediated protein degradation, energy metabolism, intermediate filaments, host translational apparatus, and signal transduction. Moreover 38 corresponding genes of the differentially expressed proteins were quantitated by real time RT-PCR to examine the transcriptional profiles between infected and uninfected chicken embryo fibroblasts. Western blot further confirmed the inhibition of Rho protein GDP dissociation inhibitor expression and the induction of polyubiquitin during IBDV infection. Subcellular distribution analysis of the cytoskeletal proteins vimentin and beta-tubulin clearly demonstrated that IBDV infection induced the disruption of the vimentin network and microtubules late in IBDV infection. Thus, this work effectively provides useful dynamic protein-related information to facilitate further investigation of the underlying mechanism of IBDV infection and pathogenesis.

Proteomic analysis of host responses in HepG2 cells during dengue virus infection

Dengue virus infection remains a public health problem worldwide. However, its pathogenic mechanisms and pathophysiology are still poorly understood. We performed proteomic analysis to evaluate early host responses (as indicated by altered proteins) in human target cells during dengue virus infection. HepG2 cells were infected with dengue virus serotype 2 (DEN-2) at multiplicity of infection (MOI) of 0.1, 0.5, and 1.0. Quantitative analyses of DEN-2 infection and cell death at 12, 24, and 48 h postinfection showed that the MOI of 1.0 with 24 h postinfection duration was the optimal condition to evaluate early host responses, as this condition provided the high %Infection ( approximately 80%), while %Cell death ( approximately 20%) was comparable to that of the mock-control cells. Proteins derived from the mock-control and DEN-2-infected cells were resolved by 2-D PAGE ( n = 5 gels for each group) and visualized by SYPRO Ruby stain. Quantitative intensity analysis revealed 17 differentially expressed proteins, which were successfully identified by peptide mass fingerprinting. Most of these altered proteins were the key factors involved in transcription and translation processes. Further functional study on these altered proteins may lead to better understanding of the pathogenic mechanisms and host responses to dengue virus infection, and also to the identification of new therapeutic targets for dengue virus infection.

Viral proteomics

Viruses have long been studied not only for their pathology and associated disease but also as model systems for molecular processes and as tools for identifying important cellular regulatory proteins and pathways. Recent advances in mass spectrometry methods coupled with the development of proteomic approaches have greatly facilitated the detection of virion components, protein interactions in infected cells, and virally induced changes in the cellular proteome, resulting in a more comprehensive understanding of viral infection. In addition, a rapidly increasing number of high-resolution structures for viral proteins have provided valuable information on the mechanism of action of these proteins as well as aided in the design and understanding of specific inhibitors that could be used in antiviral therapies. In this paper, we discuss proteomic studies conducted on all eukaryotic viruses and bacteriophages, covering virion composition, viral protein structures, virus-virus and virus-host protein interactions, and changes in the cellular proteome upon viral infection.

Public proteomic MS repositories and pipelines: available tools and biological applications

As proteomic MS has increased in throughput, so has the demand to catalogue the increasing number of peptides and proteins observed by the community using this technique. As in other 'omics' fields, this brings obvious scientific benefits such as sharing of results and prevention of unnecessary repetition, but also provides technical insights, such as the ability to compare proteome coverage between different laboratories, or between different proteomic platforms. Journals are also moving towards mandating that proteomics data be submitted to public repositories upon publication. In response to these demands, several web-based repositories have been established to store protein and peptide identifications derived from MS data, and a similar number of peptide identification software pipelines have emerged to deliver identifications to these repositories. This paper reviews the latest developments in public domain peptide and protein identification databases and describes the analysis pipelines that feed them. Recent applications of the tools to pertinent biological problems are examined, and through comparing and contrasting the capabilities of each system, the issues facing research users of web-based repositories are explored. Future developments and mechanisms to enhance system functionality and user-interfacing opportunities are also suggested.

Data processing for mass spectrometry-based metabolomics

Modern analytical technologies afford comprehensive and quantitative investigation of a multitude of different metabolites. Typical metabolomic experiments can therefore produce large amounts of data. Handling such complex datasets is an important step that has big impact on extent and quality at which the metabolite identification and quantification can be made, and thus on the ultimate biological interpretation of results. Increasing interest in metabolomics thus led to resurgence of interest in related data processing. A wide variety of methods and software tools have been developed for metabolomics during recent years, and this trend is likely to continue. In this paper we overview the key steps of metabolomic data processing and focus on reviewing recent literature related to this topic, particularly on methods for handling data from liquid chromatography mass spectrometry (LC-MS) experiments.