Molecular characterization of the immune system: emergence of proteins,processes, and domains

Many genes and proteins are required to carry out the processes of innate and adaptive immunity. For many studies, including systems biology, it is necessary to have a clear and comprehensive definition of the immune system, including the genes and proteins that take part in immunological processes. We have identified and cataloged a large portion of the human immunology-related genes, which we call the essential immunome. The 847 identified genes and proteins were annotated, and their chromosomal localizations were compared to the mouse genome. Relation to disease was also taken into account. We identified numerous pseudogenes, many of which are expressed, and found two putative new genes. We also carried out an evolutionary analysis of immune processes based on gene orthologs to gain an overview of the evolutionary past and molecular present of the human immune system. A list of genes and proteins were compiled. A comprehensive characterization of the member genes and proteins, including the corresponding pseudogenes is presented. Immunome genes were found to have three types of emergence in independent studies of their ontologies, domains, and functions. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Data mining of cancer vaccine trials: a bird's-eye view

Background

Details of the mechanisms and selection pressures that shape the emergence and development of complex biological systems, such as the human immune system, are poorly understood. A recent definition of a reference set of proteins essential for the human immunome, combined with information about protein interaction networks for these proteins, facilitates evolutionary study of this biological machinery.

Results

Here, we present a detailed study of the development of the immunome protein interaction network during eight evolutionary steps from Bilateria ancestors to human. New nodes show preferential attachment to high degree proteins. The efficiency of the immunome protein interaction network increases during the evolutionary steps, whereas the vulnerability of the network decreases.

Conclusion

Our results shed light on selective forces acting on the emergence of biological networks. It is likely that the high efficiency and low vulnerability are intrinsic properties of many biological networks, which arise from the effects of evolutionary processes yet to be uncovered.     

Towards the proteome of the marine bacterium Rhodopirellula baltica: mapping the soluble proteins

The marine bacterium Rhodopirellula baltica, a member of the phylum Planctomycetes, has distinct morphological properties and contributes to remineralization of biomass in the natural environment. On the basis of its recently determined complete genome we investigated its proteome by 2-DE and established a reference 2-DE gel for the soluble protein fraction. Approximately 1000 protein spots were excised from a colloidal Coomassie-stained gel (pH 4-7), analyzed by MALDI-MS and identified by PMF. The non-redundant data set contained 626 distinct protein spots, corresponding to 558 different genes. The identified proteins were classified into role categories according to their predicted functions. The experimentally determined and the theoretically predicted proteomes were compared. Proteins, which were most abundant in 2-DE gels and the coding genes of which were also predicted to be highly expressed, could be linked mainly to housekeeping functions in glycolysis, tricarboxic acid cycle, amino acid biosynthesis, protein quality control and translation. Absence of predictable signal peptides indicated a localization of these proteins in the intracellular compartment, the pirellulosome. Among the identified proteins, 146 contained a predicted signal peptide suggesting their translocation. Some proteins were detected in more than one spot on the gel, indicating post-translational modification. In addition to identifying proteins present in the published sequence database for R. baltica, an alternative approach was used, in which the mass spectrometric data was searched against a maximal ORF set, allowing the identification of four previously unpredicted ORFs. The 2-DE reference map presented here will serve as framework for further experiments to study differential gene expression of R. baltica in response to external stimuli or cellular development and compartmentalization.     

第二代测序技术用于水稻和稻瘟菌互作早期转录组的分析

稻瘟菌为了实现对水稻的有效侵染,在侵染水稻时可能通过表达和转运一定数量的效应蛋白进入到水稻细胞,抑制和干扰水稻的先天免疫机制。文章利用Solexa第二代测序技术,通过开展水稻和稻瘟菌互作早期转录组的测定和分析,克隆和鉴定在互作早期表达的稻瘟菌效应蛋白基因。利用序列同源比对,我们从总计约12.5 M条序列标签中,分离和鉴定了338 942条来源于稻瘟菌的序列,并最终定位到779个稻瘟菌预测基因。其中108个基因很可能参与了水稻和稻瘟菌互作过程,42个基因为预测的分泌蛋白基因。通过RT-PCR分析,最终确认了42个预测分泌蛋白基因中有12个基因在侵染水稻早期有显著的表达,而其中有4个基因表现为侵染早期特异表达。文章尝试利用第二代测序技术实现稻瘟菌侵染早期特异表达基因,尤其是分泌蛋白基因的快速克隆和鉴定,为稻瘟菌效应蛋白基因的克隆和功能鉴定提供了较为有意义的探索。     

DNA and amino acid sequence analysis of structural and immunity genes of colicins Ia and Ib.

The nucleotide sequences for colicin Ia and colicin Ib structural and immunity genes were determined. The two colicins each consist of 626 amino acid residues. Comparison of the two sequences along their lengths revealed that the two colicins are nearly identical in the N-terminal 426 amino acid residues. The C-terminal 220 amino acid residues of the colicins are only 60% identical, suggesting that this is the region most likely recognized by their cognate immunity proteins. The predicted proteins for the colicin immunity proteins would contain 111 amino acids for the colicin Ia immunity protein and 115 amino acids for the colicin Ib immunity protein. The colicin immunity proteins have no detectable DNA or amino acid homology but do exhibit a conservation of overall hydrophobicity. The colicin immunity genes lie distal to and in opposite orientation to the colicin structural genes. The colicin Ia immunity protein was purified to apparent homogeneity by a combination of isoelectric focusing and preparative sodium dodecyl sulfate-polyacrylamide gel electrophoresis. The N-terminal amino acid sequence of the purified Ia immunity protein was determined and was found to be in perfect agreement with that predicted from the DNA sequence of its structural gene. The Ia immunity protein is not a processed membrane protein.     

Identification of functional toxin/immunity genes linked to contact-dependent growth inhibition (CDI) and rearrangement hotspot (Rhs) systems

Bacterial contact-dependent growth inhibition (CDI) is mediated by the CdiA/CdiB family of two-partner secretion proteins. Each CdiA protein exhibits a distinct growth inhibition activity, which resides in the polymorphic C-terminal region (CdiA-CT). CDI(+) cells also express unique CdiI immunity proteins that specifically block the activity of cognate CdiA-CT, thereby protecting the cell from autoinhibition. Here we show that many CDI systems contain multiple cdiA gene fragments that encode CdiA-CT sequences. These "orphan" cdiA-CT genes are almost always associated with downstream cdiI genes to form cdiA-CT/cdiI modules. Comparative genome analyses suggest that cdiA-CT/cdiI modules are mobile and exchanged between the CDI systems of different bacteria. In many instances, orphan cdiA-CT/cdiI modules are fused to full-length cdiA genes in other bacterial species. Examination of cdiA-CT/cdiI modules from Escherichia coli EC93, E. coli EC869, and Dickeya dadantii 3937 confirmed that these genes encode functional toxin/immunity pairs. Moreover, the orphan module from EC93 was functional in cell-mediated CDI when fused to the N-terminal portion of the EC93 CdiA protein. Bioinformatic analyses revealed that the genetic organization of CDI systems shares features with rhs (rearrangement hotspot) loci. Rhs proteins also contain polymorphic C-terminal regions (Rhs-CTs), some of which share significant sequence identity with CdiA-CTs. All rhs genes are followed by small ORFs representing possible rhsI immunity genes, and several Rhs systems encode orphan rhs-CT/rhsI modules. Analysis of rhs-CT/rhsI modules from D. dadantii 3937 demonstrated that Rhs-CTs have growth inhibitory activity, which is specifically blocked by cognate RhsI immunity proteins. Together, these results suggest that Rhs plays a role in intercellular competition and that orphan gene modules expand the diversity of toxic activities deployed by both CDI and Rhs systems.     

Using the COG Database to Improve Gene Recognition in Complete Genomes

A complete understanding of the biology of an organism necessarily starts with knowledge of its genetic makeup. Proteins encoded in a genome must be identified and characterized, and the presence or absence of specific sets of proteins must be noted in order to determine the possible biochemical pathways or functional systems utilized by that organism. The COG database presents a set of tools suited to these purposes, including the ability to select protein families (COGs) that contain proteins from a specified set of species. The selection is based upon a phylogenetic pattern, which is a shorthand representation of the presence or absence of a particular species in a COG. Here we present the use of phylogenetic patterns as a means to perform targeted searches for undetected protein-coding genes in complete genomes.     

Systematic investigation of the hemolymph proteome of Manduca sexta at the fifth instar larvae stage using one- and two-dimensional proteomics platforms

Manduca sexta is an excellent insect model for studying insect physiology, including hemolymph proteins. Larvae stages of this insect are highly damaging to tobacco leaves causing a drastic decrease in crop yield. Investigation on the larval biology should help in controlling its destructive potential, thus increasing crop yields. The hemolymph is the source of its immunity to disease and environmental factors, which invariably involves protein components. To better understand the physiology of M. sexta and the protein components expressed during its life cycle, two complementary proteomics approaches, one- and two-dimensional gel electrophoresis (1-DGE and 2-DGE) in conjunction with N-terminal amino acid sequencing and liquid chromatography-mass spectrometry, were employed to analyze the fifth instar larvae hemolymph proteins. These proteomics approaches together identified 123 proteins, which constituted a total of 58 nonredundant proteins and belonged to 10 functional categories. Defense (49%), transport and metabolism (15%), storage (9%), and metamorphosis (7%) categories were highly represented accounting for 80% of the identified proteins. Besides identification of previously reported proteins, 18 novel proteins were identified, which include the lipoprotein-releasing system transmembrane protein lolC, 50S ribosomal protein L24, inducible serine protease inhibitor 1, imaginal disk growth factor, protein disulfide-isomerase-like protein ERp57, etc. The 2-DGE data were integrated to develop a 2-D gel reference map. Data obtained from 1-DGE and 2-DGE analyses are accessible through the M. sexta proteomics portal ( http://foodfunc.agr.ibaraki.ac.jp/mansehemoprot.html). Together, this study provides evidence for the presence of a large number of functionally diverse protein families in the hemolymph of M. sexta. These proteins correlate well with the fifth instar stage, the transition from larvae to pupae.     

Identification of candidate disease genes by integrating Gene Ontologies and protein-interaction networks: case study of primary immunodeficiencies

Disease gene identification is still a challenge despite modern high-throughput methods. Many diseases are very rare or lethal and thus cannot be investigated with traditional methods. Several in silico methods have been developed but they have some limitations. We introduce a new method that combines information about protein-interaction network properties and Gene Ontology terms. Genes with high-calculated network scores and statistically significant gene ontology terms based on known diseases are prioritized as candidate genes. The method was applied to identify novel primary immunodeficiency-related genes, 26 of which were found. The investigation uses the protein-interaction network for all essential immunome human genes available in the Immunome Knowledge Base and an analysis of their enriched gene ontology annotations. The identified disease gene candidates are mainly involved in cellular signaling including receptors, protein kinases and adaptor and binding proteins as well as enzymes. The method can be generalized for any disease group with sufficient information.     

Recent advances on proteins of plant terminal membranes.

Since the beginning of the 1990s, our knowledge of the protein equipment of plant membranes progresses at an accelerating pace, owing to the irruption of molecular biology tools and genetics strategies in plant biology. Map-based cloning strategies and exploration of EST databases rapidly enrich the catalog of cDNA or gene sequences expected to code for membrane proteins. The accumulation of 'putative' membrane proteins reinforces the need for structural, functional and physiological information. Indeed, ambiguities often exist concerning the association to a membrane, the membrane identity and the topology of the protein inserted in the membrane. The combination of directed mutagenesis and heterologous expression of plant genes in various systems and plant reverse genetics has opened the possibility to study molecular and physiological functions. This review will emphasize how these tools have been essential for the exciting recent discoveries on plant terminal membrane proteins. These discoveries concern a variety of transport systems for ions, organic solutes including auxin, water channels, a large collection of systems suspected to act as receptors of chemical signals, proteins thought to control vesicle trafficking and enzymatic systems.     

Human and chicken TLR pathways: manual curation and computer-based orthology analysis

The innate immune responses mediated by Toll-like receptors (TLR) provide an evolutionarily well-conserved first line of defense against microbial pathogens. In the Reactome Knowledgebase we previously integrated annotations of human TLR molecular functions with those of over 4000 other human proteins involved in processes such as adaptive immunity, DNA replication, signaling, and intermediary metabolism, and have linked these annotations to external resources, including PubMed, UniProt, EntrezGene, Ensembl, and the Gene Ontology to generate a resource suitable for data mining, pathway analysis, and other systems biology approaches. We have now used a combination of manual expert curation and computer-based orthology analysis to generate a set of annotations for TLR molecular function in the chicken (Gallus gallus). Mammalian and avian lineages diverged approximately 300 million years ago, and the avian TLR repertoire consists of both orthologs and distinct new genes. The work described here centers on the molecular biology of TLR3, the host receptor that mediates responses to viral and other doubled-stranded polynucleotides, as a paradigm for our approach to integrated manual and computationally based annotation and data analysis. It tests the quality of computationally generated annotations projected from human onto other species and supports a systems biology approach to analysis of virus-activated signaling pathways and identification of clinically useful antiviral measures.     

Worldwide genetic structure in 37 genes important in telomere biology

Telomeres form the ends of eukaryotic chromosomes and are vital in maintaining genetic integrity. Telomere dysfunction is associated with cancer and several chronic diseases. Patterns of genetic variation across individuals can provide keys to further understanding the evolutionary history of genes. We investigated patterns of differentiation and population structure of 37 telomere maintenance genes among 53 worldwide populations. Data from 898 unrelated individuals were obtained from the genome-wide scan of the Human Genome Diversity Panel (HGDP) and from 270 unrelated individuals from the International HapMap Project at 716 single-nucleotide polymorphism (SNP) loci. We additionally compared this gene set to HGDP data at 1396 SNPs in 174 innate immunity genes. The majority of the telomere biology genes had low to moderate haplotype diversity (45-85%), high ancestral allele frequencies (>60%) and low differentiation (FST<0.10). Heterozygosity and differentiation were significantly lower in telomere biology genes compared with the innate immunity genes. There was evidence of evolutionary selection in ACD, TERF2IP, NOLA2, POT1 and TNKS in this data set, which was consistent in HapMap 3. TERT had higher than expected levels of haplotype diversity, likely attributable to a lack of linkage disequilibrium, and a potential cancer-associated SNP in this gene, rs2736100, varied substantially in genotype frequency across major continental regions. It is possible that the genes under selection could influence telomere biology diseases. As a group, there appears to be less diversity and differentiation in telomere biology genes than in genes with different functions, possibly due to their critical role in telomere maintenance and chromosomal stability.     

Protein profile of rice (Oryza sativa) seeds

Seeds are the most important plant storage organ and play a central role in the life cycle of plants. Since little is known about the protein composition of rice (Oryza sativa) seeds, in this work we used proteomic methods to obtain a reference map of rice seed proteins and identify important molecules. Overall, 480 reproducible protein spots were detected by two-dimensional electrophoresis on pH 4–7 gels and 302 proteins were identified by MALDI-TOF MS and database searches. Together, these proteins represented 252 gene products and were classified into 12 functional categories, most of which were involved in metabolic pathways. Database searches combined with hydropathy plots and gene ontology analysis showed that most rice seed proteins were hydrophilic and were related to binding, catalytic, cellular or metabolic processes. These results expand our knowledge of the rice proteome and improve our understanding of the cellular biology of rice seeds.