5th BSPR‐EBI Meeting,Proteomics: From Technology to New Biology 8–10 July 2008, Wellcome Trust Conference Centre,Hinxton, Cambridge,UK

This paper reports on the 5^th joint British Society for Proteome Research (BSPR) and European Bioinformatics Institute (EBI) meeting which took place at the Wellcome Trust Conference Centre, Cambridge, UK, from the 8^th to 10^th July, 2008. As in previous years, the meeting attracted leading experts in the field who presented the latest cutting edge in proteomics. The meeting was entitled “Proteomics: From Technology to New Biology” taking into account the major transition proteomics has undergone in the past few years. In particular, the use of multiple reaction monitoring (MRM)‐based targeted experiments for absolute quantification and validation of proteins was the hot topic of the meeting. Attended by some 250 delegates, the conference was extremely well organised and provided a great opportunity for discussion and initiation of new collaborations.     

The Swiss-Prot protein knowledgebase and ExPASy: providing the plant community with high quality proteomic data and tools

The Swiss-Prot protein knowledgebase provides manually annotated entries for all species, but concentrates on the annotation of entries from model organisms to ensure the presence of high quality annotation of representative members of all protein families. A specific Plant Protein Annotation Program (PPAP) was started to cope with the increasing amount of data produced by the complete sequencing of plant genomes. Its main goal is the annotation of proteins from the model plant organism Arabidopsis thaliana. In addition to bibliographic references, experimental results, computed features and sometimes even contradictory conclusions, direct links to specialized databases connect amino acid sequences with the current knowledge in plant sciences. As protein families and groups of plant-specific proteins are regularly reviewed to keep up with current scientific findings, we hope that the wealth of information of Arabidopsis origin accumulated in our knowledgebase, and the numerous software tools provided on the Expert Protein Analysis System (ExPASy) web site might help to identify and reveal the function of proteins originating from other plants. Recently, a single, centralized, authoritative resource for protein sequences and functional information, UniProt, was created by joining the information contained in Swiss-Prot, Translation of the EMBL nucleotide sequence (TrEMBL), and the Protein Information Resource-Protein Sequence Database (PIR-PSD). A rising problem is that an increasing number of nucleotide sequences are not being submitted to the public databases, and thus the proteins inferred from such sequences will have difficulties finding their way to the Swiss-Prot or TrEMBL databases.     

Prediction of the aggregation propensity of proteins from the primary sequence: aggregation properties of proteomes

In the cell, protein folding into stable globular conformations is in competition with aggregation into non-functional and usually toxic structures, since the biophysical properties that promote folding also tend to favor intermolecular contacts, leading to the formation of β-sheet-enriched insoluble assemblies. The formation of protein deposits is linked to at least 20 different human disorders, ranging from dementia to diabetes. Furthermore, protein deposition inside cells represents a major obstacle for the biotechnological production of polypeptides. Importantly, the aggregation behavior of polypeptides appears to be strongly influenced by the intrinsic properties encoded in their sequences and specifically by the presence of selective short regions with high aggregation propensity. This allows computational methods to be used to analyze the aggregation properties of proteins without the previous requirement for structural information. Applications range from the identification of individual amyloidogenic regions in disease-linked polypeptides to the analysis of the aggregation properties of complete proteomes. Herein, we review these theoretical approaches and illustrate how they have become important and useful tools in understanding the molecular mechanisms underlying protein aggregation.     

The Immunome of Colon Cancer: Functional In Silico Analysis of Antigenic Proteins Deduced from IgG Microarray Profiling

Characterization of the colon cancer immunome and its autoantibody signature from differentially-reactive antigens (DIRAGs) could provide insights into aberrant cellular mechanisms or enriched networks associated with diseases. The purpose of this study was to characterize the antibody profile of plasma samples from 32 colorectal cancer (CRC) patients and 32 controls using proteins isolated from 15,417 human cDNA expression clones on microarrays. 671 unique DIRAGs were identified and 632 were more highly reactive in CRC samples. Bioinformatics analyses reveal that compared to control samples, the immunoproteomic IgG profiling of CRC samples is mainly associated with cell death, survival, and proliferation pathways, especially proteins involved in EIF2 and mTOR signaling. Ribosomal proteins (e.g., RPL7, RPL22, and RPL27A) and CRC-related genes such as APC, AXIN1, E2F4, MSH2, PMS2, and TP53 were highly enriched. In addition, differential pathways were observed between the CRC and control samples. Furthermore, 103 DIRAGs were reported in the SEREX antigen database, demonstrating our ability to identify known and new reactive antigens. We also found an overlap of 7 antigens with 48 “CRC genes.” These data indicate that immunomics profiling on protein microarrays is able to reveal the complexity of immune responses in cancerous diseases and faithfully reflects the underlying pathology.     

Prediction of CD8+ Epitopes in Leishmania braziliensis Proteins Using EPIBOT: In Silico Search and In Vivo Validation

BackgroundLeishmaniasis is caused by intracellular Leishmania parasites that induce a T-cell mediated response associated with recognition of CD4⁺ and CD8⁺ T cell Line 1Lineepitopes. Identification of CD8⁺ antigenic determinants is crucial for vaccine and therapy development. Herein, we developed an open-source software dedicated to search and compile data obtained from currently available on line prediction algorithms.ConclusionOur results show that EPIBOT can successfully search across existing prediction tools, generating a compiled list of candidate CD8⁺ epitopes. This software is fast and a simple search engine that can be customized to search over different MHC alleles or HLA haplotypes.     

In Vivo,In Vitro,and In Silico Characterization of Peptoids as Antimicrobial Agents

Bacterial resistance to conventional antibiotics is a global threat that has spurred the development of antimicrobial peptides (AMPs) and their mimetics as novel anti-infective agents. While the bioavailability of AMPs is often reduced due to protease activity, the non-natural structure of AMP mimetics renders them robust to proteolytic degradation, thus offering a distinct advantage for their clinical application. We explore the therapeutic potential of N-substituted glycines, or peptoids, as AMP mimics using a multi-faceted approach that includes in silico, in vitro, and in vivo techniques. We report a new QSAR model that we developed based on 27 diverse peptoid sequences, which accurately correlates antimicrobial peptoid structure with antimicrobial activity. We have identified a number of peptoids that have potent, broad-spectrum in vitro activity against multi-drug resistant bacterial strains. Lastly, using a murine model of invasive S. aureus infection, we demonstrate that one of the best candidate peptoids at 4 mg/kg significantly reduces with a two-log order the bacterial counts compared with saline-treated controls. Taken together, our results demonstrate the promising therapeutic potential of peptoids as antimicrobial agents.     

非限制翻译后修饰鉴定方法的研究进展

蛋白质翻译后修饰在真核生物细胞内广泛存在,对蛋白质的结构和功能有着十分重要的影响.串联质谱技术的快速发展为翻译后修饰鉴定提供了高通量、高灵敏度和高分辨率的分析平台,但传统搜索引擎鉴定修饰的方法无法满足数据分析的需求,非限制翻译后修饰鉴定已成为目前蛋白质组修饰分析的重要手段之一.非限制翻译后修饰鉴定不需要在分析前指定修饰类型,可以直接从样品中找出大量已知或未知的修饰,对提高质谱图谱解析率以及揭示蛋白质的生物学功能具有十分重要的意义.本文首先介绍了非限制翻译后修饰鉴定的定义和发展历程,然后从序列匹配和谱图匹配两个方面详细综述了目前非限制翻译后修饰鉴定的主流算法,分析了非限制翻译后修饰鉴定的质量控制问题,最后结合非限制翻译后修饰鉴定的实际应用讨论了修饰鉴定算法的不足和发展方向.     

Approaching Drosophila development through proteomic tools and databases: At the hub of the post-genomic era

The past decade has witnessed an explosion in the growth of proteomics. The completion of numerous genome sequences, the development of powerful protein analytical technologies, as well as the design of innovative bioinformatics tools have marked the beginning of a new post-genomic era. Proteomics, the large-scale analysis of proteins in an organism, organ or organelle encompasses different aspects: (1) the identification, analysis of post-translational modifications and quantification of proteins; (2) the study of protein-protein interactions; and (3) the functional analysis of interactome networks. Here, we briefly summarize the emerging analytical tools and databases that are paving the way for studying Drosophila development by proteomic approaches.     

Proteomics approach and techniques in identification of reliable biomarkers for diseases

Biomarkers, also called biological markers, are indicators to identify a biological case or situation as well as detecting any presence of biological activities and processes. Proteins are considered as a type of biomarkers based on their characteristics. Therefore, proteomics approach is one of the most promising approaches in this field. The purpose of this review is to summarize the use of proteomics approach and techniques to identify proteins as biomarkers for different diseases. This review was obtained by searching in a computerized database. So, different researches and studies that used proteomics approach to identify different biomarkers for different diseases were reviewed. Also, techniques of proteomics that are used to identify proteins as biomarkers were collected. Techniques and methods of proteomics approach are used for the identification of proteins' activities and presence as biomarkers for different types of diseases from different types of samples. There are three essential steps of this approach including: extraction and separation of proteins, identification of proteins, and verification of proteins. Finally, clinical trials for new discovered biomarker or undefined biomarker would be on.     

高粱抗坏血酸过氧化物酶基因的电子克隆及序列分析

利用高粱EST数据库及电子克隆等技术克隆了高粱APX基因,其开放阅读框大小为753bp,编码250个氨基酸残基,推导的蛋白质分子量为27.1kDa,等电点约为5.135.它与C4植物玉米的胞质APX(ACG41151)在进化上的距离最短,亲缘关系最近.高粱APX无信号肽,是亲水性蛋白,推测它定位于细胞质中.第33-44氨基酸片段为其过氧化物酶活性区域,第155-165氨基酸片段则是其与亚铁血红素配基结合的区域.预测的二级结构及三级结构都表明高粱APX含有较多的不规则卷曲和α螺旋,三级结构上呈椭球体.     

一种用于蛋白质相似性分析的新的相对距离

本文论述了一种新的相对距离,用于分析不同蛋白质序列的相似性分析和构造进化树．此种距离基于Lempel-Zip复杂度,不需要进行序列比对和复杂性算法．为了说明这种距离的合理性,本文对8个物种进行了相似性分析并构造了其进化树．     

Peptidoglycan Hydrolases of Probiotic Pediococcus acidilactici NCDC 252: Isolation,Physicochemical and In Silico Characterization

International Journal of Peptide Research and Therapeutics - Pediococcus acidilactici NCDC 252 is a Gram-positive lactic acid bacteria (LAB) that is being studied to develop it as probiotic and...     

Question 8: Bridging the Gap Between In Silico and In Vitro Approaches to Minimal Cells

In this short paper we argue for the relevance and value of theoretical models in the field of origins of life, but also claim that both theoreticians and experimentalists should make an effort to come together and interact more closely to obtain more fruitful and significant results. As an example, we present our own modeling approach to protocell dynamics, including some simulation results, to show that it is possible to develop computational tools that start bridging that traditional gap between theory and experiments. Presented at: International School of Complexity – 4th Course: Basic Questions on the Origins of Life; “Ettore Majorana” Foundation and Centre for Scientific Culture, Erice, Italy, 1–6 October 2006.     

Characterization of Tannase Protein Sequences of Bacteria and Fungi: An In Silico Study

The tannase protein sequences of 149 bacteria and 36 fungi were retrieved from NCBI database. Among them only 77 bacterial and 31 fungal tannase sequences were taken which have different amino acid compositions. These sequences were analysed for different physical and chemical properties, superfamily search, multiple sequence alignment, phylogenetic tree construction and motif finding to find out the functional motif and the evolutionary relationship among them. The superfamily search for these tannase exposed the occurrence of proline iminopeptidase-like, biotin biosynthesis protein BioH, O-acetyltransferase, carboxylesterase/thioesterase 1, carbon–carbon bond hydrolase, haloperoxidase, prolyl oligopeptidase, C-terminal domain and mycobacterial antigens families and alpha/beta hydrolase superfamily. Some bacterial and fungal sequence showed similarity with different families individually. The multiple sequence alignment of these tannase protein sequences showed conserved regions at different stretches with maximum homology from amino acid residues 389–469 and 482–523 which could be used for designing degenerate primers or probes specific for tannase producing bacterial and fungal species. Phylogenetic tree showed two different clusters; one has only bacteria and another have both fungi and bacteria showing some relationship between these different genera. Although in second cluster near about all fungal species were found together in a corner which indicates the sequence level similarity among fungal genera. The distributions of fourteen motifs analysis revealed Motif 1 with a signature amino acid sequence of 29 amino acids, i.e. GCSTGGREALKQAQRWPHDYDGIIANNPA, was uniformly observed in 83.3 % of studied tannase sequences representing its participation with the structure and enzymatic function.     

Genome-Wide Identification,In Silico Characterization of AtCOP1-Targeting Regulatory Proteins Network and their Expression Profiling in The COP1 Downregulated Arabidopsis thaliana

The functional diversification of the RING-finger constitutive photomorphogenesis 1 (COP1) enzyme highly depends on its (in)direct interaction with regulatory proteins involved in the Arabidopsis photomorphogenesis signaling pathways. In last decade, only a few AtCOP1-ligand complexes have been investigated using functional analysis and proved by biochemical interaction analysis, despite much more have been remaining unclear. Identifying the functions of COP1 will undoubtedly provide an opportunity for the discovery of novel COP1 targets either triggered on COP1 or targeted by COP1, which their characteristics have not been reported so far. Here, we have focused on the tertiary structure analysis of COP1 protein and characterization of its potent ligands based on the protein–protein interaction characteristics of the known AtCOP1-based protein complexes, which their interaction with COP1 were biochemically approved. Based on motif analysis and molecular docking results, a total of 88 regulatory proteins with different confidence were identified to be interactive and co-regulated with AtCOP1 E3 ligase. The correlation regulatory network analysis reveals that COP1 functions as a master switch in controlling the Arabidopsis growth and development. The up/down regulations of the potent COP1-ligands gene expression levels in cop1 knockdown T0 plants indicate the COP1 expanded roles in a wide diversity of biological processes. These characteristics consist of the photomorphogenesis signaling pathway, cell cycle regulation, cell division, histone H3-K27 methylation, stomata formation, and iron starvation. Meanwhile, the VPS11 transporter probably transports the COP1 into the endosome, lysosome, and vacuole between the nucleus and cytoplasm during the photomorphogenesis signaling pathway in darkness condition.

     

Identification and Biochemical Characterization of Molybdenum Cofactor-binding Proteins from Arabidopsis thaliana

The molybdenum cofactor (Moco) forms part of the catalytic center in all eukaryotic molybdenum enzymes and is synthesized in a highly conserved pathway. Among eukaryotes, very little is known about the processes taking place subsequent to Moco biosynthesis, i.e. Moco transfer, allocation, and insertion into molybdenum enzymes. In the model plant Arabidopsis thaliana, we identified a novel protein family consisting of nine members that after recombinant expression are able to bind Moco with K_D values in the low micromolar range and are therefore named Moco-binding proteins (MoBP). For two of the nine proteins atomic structures are available in the Protein Data Bank. Surprisingly, both crystal structures lack electron density for the C terminus, which may indicate a high flexibility of this part of the protein. C-terminal truncated MoBPs showed significantly decreased Moco binding stoichiometries. Experiments where the MoBP C termini were exchanged among MoBPs converted a weak Moco-binding MoBP into a strong binding MoBP, thus indicating that the MoBP C terminus, which is encoded by a separate exon, is involved in Moco binding. MoBPs were able to enhance Moco transfer to apo-nitrate reductase in the Moco-free Neurospora crassa mutant nit-1. Furthermore, we show that the MoBPs are localized in the cytosol and undergo protein-protein contact with both the Moco donor protein Cnx1 and the Moco acceptor protein nitrate reductase under in vivo conditions, thus indicating for the MoBPs a function in Arabidopsis cellular Moco distribution.     

Mitochondrial complex I from Arabidopsis and rice: orthologs of mammalian and fungal components coupled with plant-specific subunits

The NADH:ubiquinone oxidoreductase of the mitochondrial respiratory chain is a large multisubunit complex in eukaryotes containing 30-40 different subunits. Analysis of this complex using blue-native gel electrophoresis coupled to tandem mass spectrometry (MS) has identified a series of 30 different proteins from the model dicot plant, Arabidopsis, and 24 different proteins from the model monocot plant, rice. These proteins have been linked back to genes from plant genome sequencing and comparison of this dataset made with predicted orthologs of complex I components in these plants. This analysis reveals that plants contain the series of 14 highly conserved complex I subunits found in other eukaryotic and related prokaryotic enzymes and a small set of 9 proteins widely found in eukaryotic complexes. A significant number of the proteins present in bovine complex I but absent from fungal complex I are also absent from plant complex I and are not encoded in plant genomes. A series of plant-specific nuclear-encoded complex I associated subunits were identified, including a series of ferripyochelin-binding protein-like subunits and a range of small proteins of unknown function. This represents a post-genomic and large-scale analysis of complex I composition in higher plants.