Recombinant interferon-gamma promotes immunoglobulin G and cytokine memory responses to cathepsin L-like cysteine proteinase of Hyalomma asiaticum and the efficacy of anti-tick.

Among bloodsucking arthropods, hard tick is a vector of transmitting the most diverse human and animal pathogens, leading to an increasing number of manifestations worldwide. The development of the anti-tick vaccine has the potential to be an environmentally friendly and cost-effective option for tick management. We have previously demonstrated the induction of both humoral and cellular response against Hyalomma asiaticum (H. asiaticum) following immunization with recombinant cathepsin L-like cysteine protease from H. asiaticum tick (rHasCPL), and could control tick infestations. Interferon-gamma (IFN-γ), is an immunomodulatory factor that plays an important role in the regulation of adaptive immunity against infection. In the present study, recombinant BALB/c mouse IFN-γ (rMus-IFN-γ) was cloned and expressed using a prokaryotic expression system, and verified by Western blotting and IFN-γ-ELISA kit analysis. Female BALB/c mice (n = 12) were used for immunization using rHasCPL (100 µg) plus IFN-γ as adjuvant (10 µg). In immunized female BALB/c mice, the levels of anti-CPL antibodies as well as cytokines were determined using ELISA analysis. Protective efficacy of immunization was evaluated by larvae H. asiaticum challenge of immunized female BALB/c mice. Using rMus-IFN-γ as an adjuvant to rHasCPL vaccine (CPL + IFN-γ) promoted specific antibody IgG (IgG1 > IgG2a) and increased production of IFN-γ and IL-4 compared to immune rHasCPL group (CPL). The protected rate of immunized mice from tick challenge was significantly higher after immunization with CPL + IFN-γ (85.11 %) than with CPL (63.28 %). Immunization using CPL + IFN-γ promoted the activation of anti-HasCPL humoral and cellular immune responses, and could provide better protection against H. asiaticum infestation. This approach may could help develop a candidate vaccine for control tick infestations.

De novo assembly and analysis of the transcriptome of the Dermacentor marginatus genes differentially expressed after blood-feeding and long-term starvation.

BACKGROUND: The ixodid tick Dermacentor marginatus is a vector of many pathogens wide spread in Eurasia. Studies of gene sequence on many tick species have greatly increased the information on tick protective antigen which might have the potential to function as effective vaccine candidates or drug targets for eco-friendly acaricide development. In the current study, RNA-seq was applied to identify D. marginatus sequences and analyze differentially expressed unigenes. METHODS: To obtain a broader picture of gene sequences and changes in expression level, RNA-seq was performed to obtain the whole-body transcriptome data of D. marginatus adult female ticks after engorgement and long-term starvation. Subsequently, the real-time quantitative PCR (RT-qPCR) was applied to validate the RNA-seq data. RESULTS: RNA-seq produced 30,251 unigenes, of which 32% were annotated. Gene expression was compared among groups that differed by status as newly molted, starved and engorged female adult ticks. Nearly one third of the unigenes in each group were differentially expressed compared to the other two groups, and the most numerous were genes encoding proteins involved in catalytic and binding activities and apoptosis. Selected up-regulated differentially expressed genes in each group were associated to protein, lipids, carbohydrate and chitin metabolism. Blood-feeding and long-term starvation also caused genes differentially expressed in the defense response and antioxidant response. RT-qPCR results indicated 6 differentially expressed transcripts showed similar trends in expression changes with RNA-seq results confirming that the gene expression profiles in transcriptome data is in consistent with RT-qPCR validation. CONCLUSIONS: Obtaining the sequence information of D. marginatus and characterizing the expression pattern of the genes involved in blood-feeding and during starvation would be helpful in understanding molecular physiology of D. marginatus and provides data for anti-tick vaccine and drug development for controlling the tick.

Sequence identification and expression profile of seven Dermacentor marginatus glutathione S-transferase genes.

Dermacentor marginatus is a widespread tick species and a vector of many pathogens in Eurasia. Due to the medical importance of D. marginatus, control measures are needed for this tick species. Currently tick control approaches rely mostly on acaricide application, whereas wrong and irrational acaricide use may result in drug resistance and residue problems. Vaccination as an alternative approach for tick control has been proven to be effective towards some tick species. However, immunization against D. marginatus has not yet reached satisfactory protection. The effort of in silico based analysis could predict antigenicity and identify candidates for anti-tick vaccine development. We carried out an in silico analysis of D. marginatus glutathione S-transferases (DmGSTs) in order to identify blood-feeding induced GSTs as antigens that can be used in anti-tick vaccine development. Phylogenetic analysis, linear B-cell epitope prediction, homology modeling, and conformational B-cell epitope mapping on the GST models were performed to identify highly antigenic DmGSTs. Relative gene expressions of the seven GSTs were profiled through real-time quantitative PCR (RT-qPCR) to outline GSTs up-regulated during blood feeding. The phylogenetic analysis indicated that the seven GSTs belonged to four classes of GST, including one in epsilon-class, one in zeta-class, one in omega-class, and four in mu-class. Linear B-cell epitope prediction revealed mu-class GSTs share similar conserved antigenic regions. The conformational B-cell epitope mapped on the homology model of the GSTs displayed that GSTs of mu-class showed stronger antigenicity than that of other classes. RT-qPCR revealed DmGSTM1 and DmGSTM2 were positively related to blood feeding. In sum, the data suggest that DmGSTM1 and DmGSTM2 could be tested for potential anti-tick vaccine trials.

MaxEnt Modeling of Dermacentor marginatus (Acari: Ixodidae) Distribution in Xinjiang, China.

Dermacentor marginatus Sulkzer is a common tick species found in the Xinjiang Uygur Autonomous Region (XUAR) of China, and is a vector for a variety of pathogens. To determine the potential distribution of this tick species in Xinjiang, a metadata containing 84 D. marginatus presence records combined with four localities from field collection were used for MaxEnt modeling to predict potential distribution of this tick species. Identification of tick samples showed 756 of 988 (76%) were D. marginatus. MaxEnt modeling results indicated that the potential distribution of this tick species was mainly confined to northern XUAR. Highly suitable areas included west side of Altay mountain, west rim of Junggar basin, and Yili River valley in the study area. The model showed an AUC value of 0.838 ± 0.063 (SD), based on 10-fold cross-validation. Although tick presence records used for modeling were limited, this is the first regional tick distribution model for D. marginatus in Xinjiang. The model will be helpful in assessing the risk of tick-borne diseases to human and animals in the region.

Quantitative Proteomic analysis on Activated Hepatic Stellate Cells reversion Reveal STAT1 as a key regulator between Liver Fibrosis and recovery.

Understanding the changes of activated HSCs reversion is an essential step toward clarifying the potential roles of HSCs in the treatment of liver fibrosis. In this study, we chose adipocyte differentiation mixture to induce LX-2 cells for 2 days in vitro as reversion phase, comparing with normal cultured LX-2 cells as activation phase. Mass spectrometric-based SILAC technology was adopted to study differentially expressed proteome of LX-2 cells between reversion and activation. Compared with activated HSCs, 273 proteins showed significant differences in reverted HSCs. The main pathway of up-regulated proteins associated with reversion of HSCs mainly related to oxidation-reduction and lipid metabolism, while the top pathway of down-regulated proteins was found in regulated cytoskeleton formation. Changes in the expression levels of selected proteins were verified by Western blotting analysis, especially STAT1, FLNA, LASP1, and NAMPT proteins. The distinct roles of STAT1 were further analyzed between activated and reverted of HSCs, it was found that STAT1 could affect cell proliferation of HSCs and could be viewed as a key regulator in the reversion of HSCs. Thus, the proteomic analysis could accelerate our understanding of the mechanisms of HSC reversion on cessation of fibrogenic stimuli and provide new targets for antifibrotic liver therapy.

SILAC-based quantitative proteomic analysis of secretome between activated and reverted hepatic stellate cells.

Activated hepatic stellate cell (HSC) is the main myofibroblast cell in the liver fibrosis (LF). An important characteristic of the recovery of LF is not only the apoptosis of activated HSCs but also reversal of myofibroblast-like phenotype to a quiescent-like phenotype. Understanding the changes of secreted proteins in the reversion of activated HSCs may provide the broader view of cellular regulatory networks and discover candidate markers or targets for therapeutic strategies of LF. In this study, stable isotope labeling with amino acids (SILAC) combined with linear ion trap-Fourier transform ion cyclotron resonance mass spectrometer (LTQ-FT MS) was performed on in vitro activated HSCs and reverted HSCs to obtain a proteomic view of secretory proteins. In total, 330 proteins showed significant differences in reverted HSCs. Among these, 109 upregulated proteins were mainly involved in amino acid metabolism pathway and glucose metabolism pathway using GeneGO/MetaCore software, while 221 downregulated proteins are closely associated with HSCs activation, such as cytoskeleton remodeling, chemokines, and cell adhesion. Additionally, a set of novel proteins associated with HSCs activation and reversion were validated by Western blotting in the cell secretion and in the sera of LF, including vitronectin, laminin beta 1, and ubiquitin conjugation factor E4B. Our study provided the valuable insight into the mechanisms in the reversion of activated HSCs and identified some potential biomarkers of LF in clinical studies. All MS data have been deposited in the ProteomeXchange with identifier PXD000773 (http://proteomecentral.proteomexchange.org/dataset/PXD000773).

Discovery of novel genes and gene isoforms by integrating transcriptomic and proteomic profiling from mouse liver.

Comprehensively identifying gene expression in both transcriptomic and proteomic levels of one tissue is a prerequisite for a deeper understanding of its biological functions. Alternative splicing and RNA editing, two main forms of transcriptional processing, play important roles in transcriptome and proteome diversity and result in multiple isoforms for one gene, which are hard to identify by mass spectrometry (MS)-based proteomics approach due to the relative lack of isoform information in standard protein databases. In our study, we employed MS and RNA-Seq in parallel into mouse liver tissue and captured a considerable catalogue of both transcripts and proteins that, respectively, covered 60 and 34% of protein-coding genes in Ensembl. We then developed a bioinformatics workflow for building a customized protein database that for the first time included new splicing-derived peptides and RNA-editing-caused peptide variants, allowing us to more completely identify protein isoforms. Using this experimentally determined database, we totally identified 150 peptides not present in standard biological databases at false discovery rate of <1%, corresponding to 72 novel splicing isoforms, 43 new genetic regions, and 15 RNA-editing sites. Of these, 11 randomly selected novel events passed experimental verification by PCR and Sanger sequencing. New discoveries of gene products with high confidence in two omics levels demonstrated the robustness and effectiveness of our approach and its potential application into improve genome annotation. All the MS data have been deposited to the iProx ( http://ww.iprox.org ) with the identifier IPX00003601.

Regular patterns for proteome-wide distribution of protein abundance across species.

A proteome of the bio-entity, including cell, tissue, organ, and organism, consists of proteins of diverse abundance. The principle that determines the abundance of different proteins in a proteome is of fundamental significance for an understanding of the building blocks of the bio-entity. Here, we report three regular patterns in the proteome-wide distribution of protein abundance across species such as human, mouse, fly, worm, yeast, and bacteria: in most cases, protein abundance is positively correlated with the protein's origination time or sequence conservation during evolution; it is negatively correlated with the protein's domain number and positively correlated with domain coverage in protein structure, and the correlations became stronger during the course of evolution; protein abundance can be further stratified by the function of the protein, whereby proteins that act on material conversion and transportation (mass category) are more abundant than those that act on information modulation (information category). Thus, protein abundance is intrinsically related to the protein's inherent characters of evolution, structure, and function.

Quantitative proteomic survey of endoplasmic reticulum in mouse liver.

To gain a better understanding of the critical function of the endoplasmic reticulum (ER) in liver, we carried out a proteomic survey of mouse liver ER. The ER proteome was profiled with a new three-dimensional, gel-based strategy. From 6152 and 6935 MS spectra, 903 and 1042 proteins were identified with at least two peptides matches at 95% confidence in the rough (r) and smooth (s) ER, respectively. Comparison of the rER and sER proteomes showed that calcium-binding proteins are significantly enriched in the sER suggesting that the ion-binding function of the ER is compartmentalized. Comparison of the rat and mouse ER proteomes showed that 662 proteins were common to both, comprising 53.5% and 49.3% of those proteomes, respectively. We proposed that these proteins were stably expressed proteins that were essential for the maintenance of ER function. GO annotation with a hypergeometric model proved this hypothesis. Unexpectedly, 210 unknown proteins and some proteins previously reported to occur in the cytosol were highly enriched in the ER. This study provides a reference map for the ER proteome of liver. Identification of new ER proteins will enhance our current understanding of the ER and also suggest new functions for this organelle.

Liverbase: a comprehensive view of human liver biology.

The Liverbase ( http://liverbase.hupo.org.cn ) integrates information on the human liver proteome, including the function, abundance, and subcellular localization of proteins as well as associated disease information. The overall objective of the Liverbase is to provide a unique public resource for the liver community by providing comprehensive functional annotation of proteins implicated in liver development and disease. The central database features are manually annotated proteins localized in or functionally associated with human liver. In this first version of Liverbase, the associated data includes the human liver proteome (6788 proteins) and transcriptome (11205 significantly expressed genes: 10224 from CHIP and 5422 from MPSS, respecively) from the Chinese human liver proteome project (CNHLPP). As a database made publicly available through the Web site, Liverbase provides browsing and searching capabilities and a compilation of external links to other databases and homepages. Liverbase enables (i) the establishment of liver GO slim with 51 nonredundant items; (ii) systematic searches for proteins within specific functional or metabolic pathways; (iii) systematic searches that aim to find the proteins that underlie common and rare liver diseases; and (iv) the integration of detailed protein annotations derived from the literature. Liverbase also contains an external links page with links to other biological databases and homepages, including GO, KEGG, pfam, SWISS-PROT, and GNF databases. Liverbase users can utilize all these information to conduct systems biology research on liver.

Quantitative proteome analysis of HCC cell lines with different metastatic potentials by SILAC.

Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide and metastasis is the main cause for treatment failure and high fatality of HCC. In order to make further exploration into the mechanism of HCC metastasis and to search for the candidates of diagnostic marker and therapeutic target, stable-isotope labeling by amino acids in cell culture (SILAC) technique was employed to conduct differential proteome analysis on HCC cell lines--MHCC97L and HCCLM6 with low and high metastatic potentials. In total, 2335 reliable proteins were identified using LTQ-FT mass spectrum, among which 91 proteins were upregulated and 61 proteins were downregulated in HCCLM6. Most of the upregulated proteins were involved in adherence, morphogenesis, and lipid synthesis, while lots of the downregulated proteins were involved in electron transport, which might be crucial for HCC metastasis. Six dysregulated proteins were validated by Western blotting in the cell lines. Interestingly, the upregulation of solute carrier family 12 member 2 (SLC 12A2) and protein disulfide-isomerase A4 (PDIA4) were further confirmed in the culture supernatants by Western blotting and in the sera of HCC patients with different metastatic potentials by ELISA. Our study provided not only the valuable insights into the HCC metastasis mechanisms but also the potential candidate biomarkers for prediction of HCC metastasis.

[Chemical probe in the proteomics].

With the proteomics concept introduction and effective projects implement as Human Plasma Project, the proteomics research is being developed rapidly, which is based on the analytical chemistry and physical chemistry. More and more biologists paid attention to this field, and got some important results in cell biology and biochemistry. The variation of protein quantity and various modifications in the cell reflects the environment stress and the function requirement. To investigate these variations, proteomic technology provided powerful tools. In this article, chemical probe in quantitative and modification study is discussed in details.

Sample preparation project for the subcellular proteome of mouse liver.

Organelle proteome has become one of the most important fields of proteomics, and the subcellular fractionation with high purity and yield has always been a challenge for cell biologists and also for the Human Liver Proteome Project (HLPP). The liver of a C57BL/6J mouse was chosen as the model to find the optimum method for subcellular preparation. The method we selected could obtain the multiple fractions including plasma membrane, mitochondria, nucleus, ER, and cytosol from a single homogenate. With the same procedure, it is for the first time that the preparation method of frozen homogenized livers was compared with that of the fresh livers and frozen livers. We systematically evaluated the purity, efficiency, and integrity by protein yield, immunoblotting, and transmission electron microscopy. Taken together, the method of multiple fractions from a single tissue is effective enough for subcellular fractionation of mouse liver. We give a selective sample preparation method for frozen homogenized livers, for rare clinical samples, which cannot easily be used for subcellular separation immediately. But the frozen livers are not recommended for organelles isolation. This result is especially useful for sample preparation of human liver for subcellular fractionation of HLPP.

A dataset of human fetal liver proteome identified by subcellular fractionation and multiple protein separation and identification technology.

A high throughput process including subcellular fractionation and multiple protein separation and identification technology allowed us to establish the protein expression profile of human fetal liver, which was composed of at least 2,495 distinct proteins and 568 non-isoform groups identified from 64,960 peptides and 24,454 distinct peptides. In addition to the basic protein identification mentioned above, the MS data were used for complementary identification and novel protein mining. By doing the analysis with integrated protein, expressed sequence tag, and genome datasets, 223 proteins and 15 peptides were complementarily identified with high quality MS/MS data.

Proteomic analysis on structural proteins of Severe Acute Respiratory Syndrome coronavirus.

Recently, a new coronavirus was isolated from the lung tissue of autopsy sample and nasal/throat swabs of the patients with Severe Acute Respiratory Syndrome (SARS) and the causative association with SARS was determined. To reveal further the characteristics of the virus and to provide insight about the molecular mechanism of SARS etiology, a proteomic strategy was utilized to identify the structural proteins of SARS coronavirus (SARS-CoV) isolated from Vero E6 cells infected with the BJ-01 strain of the virus. At first, Western blotting with the convalescent sera from SARS patients demonstrated that there were various structural proteins of SARS-CoV in the cultured supernatant of virus infected-Vero E6 cells and that nucleocaspid (N) protein had a prominent immunogenicity to the convalescent sera from the patients with SARS, while the immune response of spike (S) protein probably binding with membrane (M) glycoprotein was much weaker. Then, sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) was used to separate the complex protein constituents, and the strategy of continuous slicing from loading well to the bottom of the gels was utilized to search thoroughly the structural proteins of the virus. The proteins in sliced slots were trypsinized in-gel and identified by mass spectrometry. Three structural proteins named S, N and M proteins of SARS-CoV were uncovered with the sequence coverage of 38.9, 93.1 and 28.1% respectively. Glycosylation modification in S protein was also analyzed and four glycosylation sites were discovered by comparing the mass spectra before and after deglycosylation of the peptides with PNGase F digestion. Matrix-assisted laser desorption/ionization-mass spectrometry determination showed that relative molecular weight of intact N protein is 45 929 Da, which is very close to its theoretically calculated molecular weight 45 935 Da based on the amino acid sequence deduced from the genome with the first amino acid methionine at the N-terminus depleted and second, serine, acetylated, indicating that phosphorylation does not happen at all in the predicted phosphorylation sites within infected cells nor in virus particles. Intriguingly, a series of shorter isoforms of N protein was observed by SDS-PAGE and identified by mass spectrometry characterization. For further confirmation of this phenomenon and its related mechanism, recombinant N protein of SARS-CoV was cleaved in vitro by caspase-3 and -6 respectively. The results demonstrated that these shorter isoforms could be the products from cleavage of caspase-3 rather than that of caspase-6. Further, the relationship between the caspase cleavage and the viral infection to the host cell is discussed.