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PubMedDate not supplied

Proteomics and bioinformatics strategies to design countermeasures against infectious threat agents.

The potential devastation resulting from an intentional outbreak caused by biological warfare agents such as Brucella abortus and Bacillus anthracis underscores the need for next generation vaccines. Proteomics, genomics, and systems biology approaches coupled with the bacterial ghost (BG) vaccine delivery strategy offer an ideal approach for developing safer, cost-effective, and efficacious vaccines for human use in a relatively rapid time frame. Critical to any subunit vaccine development strategy is the identification of a pathogen's proteins with the greatest potential of eliciting a protective immune response. These proteins are collectively referred to as the pathogen's immunome. Proteomics provides high-resolution identification of these immunogenic proteins using standard proteomic technologies, Western blots probed with antisera from infected patients, and the pathogen's sequenced and annotated genome. Selected immunoreactive proteins can be then cloned and expressed in nonpathogenic Gram-negative bacteria. Subsequently, a temperature shift or chemical induction process is initiated to induce expression of the PhiX174 E-lysis gene, whose protein product forms an E tunnel between the inner and outer membrane of the bacteria, expelling all intracellular contents. The BG vaccine system is a proven strategy developed for many different pathogens and tested in a complete array of animal models. The BG vaccine system also has great potential for producing multiagent vaccines for protection to multiple species in a single formulation.

Bacillus anthracis↗
PubMed2005

Computational detection of prokaryotic core promoters in genomic sequences.

The high-throughput sequencing of microbial genomes has resulted in the relatively rapid accumulation of an enormous amount of genomic sequence data. In this context, the problem posed by the detection of promoters in genomic DNA sequences via computational methods has attracted considerable research attention in recent years. This paper addresses the development of a predictive model, known as the dependence decomposition weight matrix model (DDWMM), which was designed to detect the core promoter region, including the -10 region and the transcription start sites (TSSs), in prokaryotic genomic DNA sequences. This is an issue of some importance with regard to genome annotation efforts. Our predictive model captures the most significant dependencies between positions (allowing for non-adjacent as well as adjacent dependencies) via the maximal dependence decomposition (MDD) procedure, which iteratively decomposes data sets into subsets, based on the significant dependence between positions in the promoter region to be modeled. Such dependencies may be intimately related to biological and structural concerns, since promoter elements are present in a variety of combinations, which are separated by various distances. In this respect, the DDWMM may prove to be appropriate with regard to the detection of core promoter regions and TSSs in long microbial genomic contigs. In order to demonstrate the effectiveness of our predictive model, we applied 10-fold cross-validation experiments on the 607 experimentally-verified promoter sequences, which evidenced good performance in terms of sensitivity.

Base Sequence↗
PubMed2006

The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo.

We present a method (the Inferelator) for deriving genome-wide transcriptional regulatory interactions, and apply the method to predict a large portion of the regulatory network of the archaeon Halobacterium NRC-1. The Inferelator uses regression and variable selection to identify transcriptional influences on genes based on the integration of genome annotation and expression data. The learned network successfully predicted Halobacterium's global expression under novel perturbations with predictive power similar to that seen over training data. Several specific regulatory predictions were experimentally tested and verified.

Adenosine Triphosphatases↗
PubMed2001

Genomewide function conservation and phylogeny in the Herpesviridae.

The Herpesviridae are a large group of well-characterized double-stranded DNA viruses for which many complete genome sequences have been determined. We have extracted protein sequences from all predicted open reading frames of 19 herpesvirus genomes. Sequence comparison and protein sequence clustering methods have been used to construct herpesvirus protein homologous families. This resulted in 1692 proteins being clustered into 243 multiprotein families and 196 singleton proteins. Predicted functions were assigned to each homologous family based on genome annotation and published data and each family classified into seven broad functional groups. Phylogenetic profiles were constructed for each herpesvirus from the homologous protein families and used to determine conserved functions and genomewide phylogenetic trees. These trees agreed with molecular-sequence-derived trees and allowed greater insight into the phylogeny of ungulate and murine gammaherpesviruses.

Animals↗
PubMed2006

Confirmation of the expression of a large set of conserved hypothetical proteins in Shewanella oneidensis MR-1.

High-throughput "omic" technologies have allowed for a relatively rapid, yet comprehensive analysis of the global expression patterns within an organism in response to perturbations. In the current study, 9503 different tryptic peptides were identified with high confidence from capillary liquid chromatography-mass spectrometry analysis of 26 chemostat cultures of Shewanella oneidensis MR-1 under various conditions. Using at least one distinctive and a total of two total peptide identifications per protein, we detected the expression of 758 conserved hypothetical proteins. This included 359 such proteins previously described [Kolker, E., Picone, A.F., Galperin, M.Y., Romine, M.F., Higdon, R., Makarova, K.S., Kolker, N., Anderson, G.A., Qiu, X., Auberry, K.J., Babnigg, G., Beliaev, A.S., Edlefsen, P., Elias, D.A., Gorby, Y.A., Holzman, T., Klappenbach, J.A., Konstantinidis, K.T., Land, M.L., Lipton, M.S., McCue, L.A., Monroe, M., Pasa-Tolic, L., Pinchuk, G., Purvine, S., Serres, M.H., Tsapin, S., Zakrajsek, B.A., Zhu, W., Zhou, J., Larimer, F.W., Lawrence, C.E., Riley, M., Collart, F.R., Yates, J.R., III, Smith, R.D., Giometti, C.S., Nealson, K.H., Fredrickson, J.K., Tiedje, J.M., 2005. Global profiling of Shewanella oneidensis MR-1: expression of hypothetical genes and improved functional annotations. Proc Natl Acad Sci U S A 102, 2099-2104] with an additional 399 reported herein for the first time. The latter 399 proteins ranged from 5.3 to 208.3 kDa, with 44 being of 100 amino acid residues or less. Using a combination of information including peptide detection in cells grown under specific culture conditions and predictive algorithms such as PSORT and PSORT-B, possible/plausible functions are proposed for some conserved hypothetical proteins. Such proteins were found not only to be expressed, but 19 were only expressed under certain culturing conditions, thereby providing insight into potential functions. These findings also impact the genomic annotation for S. oneidensis MR-1 by confirming that these genes code for expressed proteins. Our results indicate that 399 proteins can now be upgraded from "conserved hypothetical protein" to "expressed protein in Shewanella," 19 of which appeared to be expressed under specific culture conditions.

Bacterial Proteins↗
PubMed2004

Fruits and flies: a genomics perspective of an invertebrate model organism.

The increasing number of species for which a full genome sequence is available offers rich pickings for geneticists, but comparative analysis and assembly of information gathered across species does not always lead to answers about the function of a particular gene. This paper aims to place the invertebrate model system--the fly Drosophila melanogaster--into this playing field and to discuss how the organism arrived at its position in functional genetic analysis. Indeed, despite the wealth of knowledge on how a fly lives, breathes and flies, this organism is likely to remain a player in the analysis of biological, disease and pharmaceutical processes. The fast genetics Drosophila offers, combined with a well-annotated genome and a wealth of techniques facilitating gene function discovery, will ensure its place in functional genomics for some time to come. Although the fly cannot speak, it certainly can tell a tale.

Animals↗
PubMed2026

Scalable production of pectinases from Bacillus licheniformis SMIA-2 using agro-Industrial by-products with genomic insights.

UNLABELLED: The study re-analyzed the draft genome of Bacillus licheniformis SMIA-2 and generated a reference-guided pseudo-scaffold. Cross-validated genome annotation identified five candidate loci associated with pectin degradation, including putative pectate lyases, polygalacturonase, and downstream uronate-catabolic genes. Submerged fermentation with passion fruit peel flour and corn steep liquor yielded crude enzymatic extracts, which were spray-dried at 110 °C using maltodextrin and microcrystalline cellulose as stabilizers. The dried formulation retained pectinase activity for 180 days at 5 °C and showed additional cellulase, amylase, xylanase, and protease activities. Pectinase displayed optimal activity at pH 8.5 and 70 °C, with stability between pH 8.0-8.5 and 65-70 °C. Despite not using a reference strain and the absence of some omics analyses, with genomic and industrial claims presented as evidence of biotechnological potential rather than definitive functional validation of individual genes, these results support a sustainable, scalable, and alkaline-tolerant enzyme platform based on agro-industrial residues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at https://doi.org/10.1007/s10068-026-02252-3.

Agro-industrial residues↗
PubMed2003

Microarray profiling of gene expression during trypomastigote to amastigote transition in Trypanosoma cruzi.

Trypanosoma cruzi, the causative agent of Chagas disease, remains a significant public health concern throughout South and Central America. Although much is known about immune control of T. cruzi and in particular the importance of recognition of parasite-infected cells, relatively little is known about the target antigens of these protective immune responses. For instance, few of the genes expressed in the intracellular amastigote stage have been identified. To gain insight into the molecular events, at the level of mRNA abundance, involved in this critical point in the parasite life-cycle, we used DNA microarrays of 4400 sequences from T. cruzi ORF-selected and random, genomic sequencing libraries to determine relative mRNA abundances in trypomastigotes and developing amastigotes. Results from six hybridizations using independently generated parasite samples consistently identified 60 probes that detected genes upregulated within 2h after extracellular trypomastigotes were induced, in vitro, to differentiate into amastigotes. Sequence analysis from these 60 probes identified 14 known and 25 novel T. cruzi genes. The general direction of regulation was confirmed by quantitative RT-PCR for seven of the array-identified, amastigote upregulated, known genes. This work demonstrates the feasibility of computational and microarray approaches to gene discovery in T. cruzi, an organism for which a fully assembled and annotated genome sequence is not yet available and in which control of transcription initiation is believed to be absent. Moreover, this work is the first report of amastigote up regulation for 38 genes, thus expanding considerably the pool of genes known to be upregulated in this important yet poorly-studied stage of the T. cruzi life-cycle.

Animals↗
PubMed2005

MetaCyc and AraCyc. Metabolic pathway databases for plant research.

MetaCyc (http://metacyc.org) contains experimentally determined biochemical pathways to be used as a reference database for metabolism. In conjunction with the Pathway Tools software, MetaCyc can be used to computationally predict the metabolic pathway complement of an annotated genome. To increase the breadth of pathways and enzymes, more than 60 plant-specific pathways have been added or updated in MetaCyc recently. In contrast to MetaCyc, which contains metabolic data for a wide range of organisms, AraCyc is a species-specific database containing only enzymes and pathways found in the model plant Arabidopsis (Arabidopsis thaliana). AraCyc (http://arabidopsis.org/tools/aracyc/) was the first computationally predicted plant metabolism database derived from MetaCyc. Since its initial computational build, AraCyc has been under continued curation to enhance data quality and to increase breadth of pathway coverage. Twenty-eight pathways have been manually curated from the literature recently. Pathway predictions in AraCyc have also been recently updated with the latest functional annotations of Arabidopsis genes that use controlled vocabulary and literature evidence. AraCyc currently features 1,418 unique genes mapped onto 204 pathways with 1,156 literature citations. The Omics Viewer, a user data visualization and analysis tool, allows a list of genes, enzymes, or metabolites with experimental values to be painted on a diagram of the full pathway map of AraCyc. Other recent enhancements to both MetaCyc and AraCyc include implementation of an evidence ontology, which has been used to provide information on data quality, expansion of the secondary metabolism node of the pathway ontology to accommodate curation of secondary metabolic pathways, and enhancement of the cellular component ontology for storing and displaying enzyme and pathway locations within subcellular compartments.

4-Hydroxyphenylpyruvate Dioxygenase↗
PubMed2006

CoryneRegNet: an ontology-based data warehouse of corynebacterial transcription factors and regulatory networks.

BACKGROUND: The application of DNA microarray technology in post-genomic analysis of bacterial genome sequences has allowed the generation of huge amounts of data related to regulatory networks. This data along with literature-derived knowledge on regulation of gene expression has opened the way for genome-wide reconstruction of transcriptional regulatory networks. These large-scale reconstructions can be converted into in silico models of bacterial cells that allow a systematic analysis of network behavior in response to changing environmental conditions. DESCRIPTION: CoryneRegNet was designed to facilitate the genome-wide reconstruction of transcriptional regulatory networks of corynebacteria relevant in biotechnology and human medicine. During the import and integration process of data derived from experimental studies or literature knowledge CoryneRegNet generates links to genome annotations, to identified transcription factors and to the corresponding cis-regulatory elements. CoryneRegNet is based on a multi-layered, hierarchical and modular concept of transcriptional regulation and was implemented by using the relational database management system MySQL and an ontology-based data structure. Reconstructed regulatory networks can be visualized by using the yFiles JAVA graph library. As an application example of CoryneRegNet, we have reconstructed the global transcriptional regulation of a cellular module involved in SOS and stress response of corynebacteria. CONCLUSION: CoryneRegNet is an ontology-based data warehouse that allows a pertinent data management of regulatory interactions along with the genome-scale reconstruction of transcriptional regulatory networks. These models can further be combined with metabolic networks to build integrated models of cellular function including both metabolism and its transcriptional regulation.

Computer Graphics↗
PubMed2001

Serial analysis of gene expression in Plasmodium falciparum reveals the global expression profile of erythrocytic stages and the presence of anti-sense transcripts in the malarial parasite.

Serial analysis of gene expression (SAGE) was applied to the malarial parasite Plasmodium falciparum to characterize the comprehensive transcriptional profile of erythrocytic stages. A SAGE library of approximately 8335 tags representing 4866 different genes was generated from 3D7 strain parasites. Basic local alignment search tool analysis of high abundance SAGE tags revealed that a majority (88%) corresponded to 3D7 sequence, and despite the low complexity of the genome, 70% of these highly abundant tags matched unique loci. Characterization of these suggested the major metabolic pathways that are used by the organism under normal culture conditions. Furthermore several tags expressed at high abundance (30% of tags matching to unique loci of the 3D7 genome) were derived from previously uncharacterized open reading frames, demonstrating the use of SAGE in genome annotation. The open platform "profiling" nature of SAGE also lead to the important discovery of a novel transcriptional phenomenon in the malarial pathogen: a significant number of highly abundant tags that were derived from annotated genes (17%) corresponded to antisense transcripts. These SAGE data were validated by two independent means, strand specific reverse transcription-polymerase chain reaction and Northern analysis, where antisense messages were detected in both asexual and sexual stages. This finding has implications for transcriptional regulation of Plasmodium gene expression.

Animals↗
PubMed2005

hATpin, a family of MITE-like hAT mobile elements conserved in diverse plant species that forms highly stable secondary structures.

We identified a 178 bp mobile DNA element in lettuce with characteristic CGAGC/GCTCG repeats in the subterminal regions. This element has terminal inverted repeats and 8-bp target site duplications typical of the hAT superfamily of class II mobile elements, but its small size and potential to form a single-stranded stable hairpin-like secondary structure suggest that it is related to MITE elements. In silico searches for related elements identified 252 plant sequences with 8-bp target site duplications and sequence similarity in their terminal and subterminal regions. Some of these sequences were predicted to encode transposases and may be autonomous elements; these constituted a separate clade within the phylogram of hAT transposases. We demonstrate that the CGAGC/GCTCG pentamer maximizes the hairpin stability compared to any other pentamer with the same C + G content, and the secondary structures of these elements are more stable than for most MITEs. We named these elements collectively as hATpin elements because of the hAT similarity and their hairpin structures. The nearly complete rice genome sequence and the highly advanced genome annotation allowed us to localize most rice elements and to deduce insertion preferences. hATpin elements are distributed on all chromosomes, but with significant bias for chromosomes 1 and 10 and in regions of moderate gene density. This family of class II mobile elements is found primarily in monocot species, but is also present in dicot species.

Base Sequence↗
PubMed2004

Computational prediction of human metabolic pathways from the complete human genome.

BACKGROUND: We present a computational pathway analysis of the human genome that assigns enzymes encoded therein to predicted metabolic pathways. Pathway assignments place genes in their larger biological context, and are a necessary first step toward quantitative modeling of metabolism. RESULTS: Our analysis assigns 2,709 human enzymes to 896 bioreactions; 622 of the enzymes are assigned roles in 135 predicted metabolic pathways. The predicted pathways closely match the known nutritional requirements of humans. This analysis identifies probable omissions in the human genome annotation in the form of 203 pathway holes (missing enzymes within the predicted pathways). We have identified putative genes to fill 25 of these holes. The predicted human metabolic map is described by a Pathway/Genome Database called HumanCyc, which is available at http://HumanCyc.org/. We describe the generation of HumanCyc, and present an analysis of the human metabolic map. For example, we compare the predicted human metabolic pathway complement to the pathways of Escherichia coli and Arabidopsis thaliana and identify 35 pathways that are shared among all three organisms. CONCLUSIONS: Our analysis elucidates a significant portion of the human metabolic map, and also indicates probable unidentified genes in the genome. HumanCyc provides a genome-based view of human nutrition that associates the essential dietary requirements of humans with a set of metabolic pathways whose existence is supported by the human genome. The database places many human genes in a pathway context, thereby facilitating analysis of gene expression, proteomics, and metabolomics datasets through a publicly available online tool called the Omics Viewer.

Arabidopsis↗
PubMed2006

Characterization of Treponema denticola pyrF encoding orotidine-5'-monophosphate decarboxylase.

The Treponema denticola ATCC 35405 genome annotation contains most of the genes for de novo pyrimidine biosynthesis. To initiate characterization of pyrimidine synthesis in Treponema, we focused on TDE2110 (the putative pyrF, encoding orotidine-5'-monophosphate decarboxlyase). Unlike the parent strain, an isogenic pyrF mutant was resistant to 5-fluoroorotic acid. In complex medium, growth of the pyrF mutant was independent of added uracil, indicating activity of a uracil uptake/salvage pathway. Transcription of pyrF was greatly reduced in T. denticola grown in excess uracil, demonstrating that de novo pyrimidine synthesis is regulated and suggesting a feedback mechanism. Treponema denticola PyrF complemented uracil auxotrophy in an Escherichia coli pyrF mutant. This study provides biochemical confirmation of T. denticola genome predictions of de novo and salvage pyrimidine pathways and provides proof of concept that pyrF has potential as a selectable marker in T. denticola.

Bacterial Proteins↗
PubMed2003

[Malaria control in the post-genomic era].

With the publication of seminal articles on the genomic sequence of Plasmodium falciparum and P. yoelii yoelii last autumn following the articles on genome of Anopheles gambiae, man, and mice, malariology stepped indubitably into a new era. A major finding of genome annotation is that nearly 60% of Plasmodium sp. have no functional attribution and that a high proportion of P. falciparum sequences have no counterpart in P. yoelii. In the light of these findings it will now be possible to explore the specificities of the Plasmodium genus and particularities of each species--and ultimately the relevance of animal malaria models. Numerous avenues of research have been opened not only for drug discovery, vaccine development, dissecting the cascade of events contributing to pathology or protection, but also for population biology studies and analysis of genetic exchanges within field parasite populations. The field has been radically changed, and coordinated efforts are needed to implement the powerful post genomic technologies. There is an urgent need to exploit this huge mass of new data for the development of new control methods. This development requires a rational approach of functional genomics and integrative biology. The purpose of this article is to briefly summarize current data and discuss experimental approaches and perspectives.

Animals↗
PubMed2006

Arabidopsis thaliana proteomics: from proteome to genome.

Proteomics has become an important approach for investigating cellular processes and network functions. Significant improvements have been made during the last few years in technologies for high-throughput proteomics, both at the level of data analysis software and mass spectrometry hardware. As proteomics technologies advance and become more widely accessible, efforts of cataloguing and quantifying full proteomes are underway to complement other genomics approaches, such as RNA and metabolite profiling. Of particular interest is the application of proteome data to improve genome annotation and to include information on post-translational protein modifications with the annotation of the corresponding gene. This type of analysis requires a paradigm shift because amino acid sequences must be assigned to peptides without relying on existing protein databases. In this review, advances and current limitations of full proteome analysis are briefly highlighted using the model plant Arabidopsis thaliana as an example. Strategies to identify peptides are also discussed on the basis of MS/MS data in a protein database-independent approach.

Arabidopsis↗
PubMed2005

Genome-wide prediction and identification of cis-natural antisense transcripts in Arabidopsis thaliana.

BACKGROUND: Natural antisense transcripts (NAT) are a class of endogenous coding or non-protein-coding RNAs with sequence complementarity to other transcripts. Several lines of evidence have shown that cis- and trans-NATs may participate in a broad range of gene regulatory events. Genome-wide identification of cis-NATs in human, mouse and rice has revealed their widespread occurrence in eukaryotes. However, little is known about cis-NATs in the model plant Arabidopsis thaliana. RESULTS: We developed a new computational method to predict and identify cis-encoded NATs in Arabidopsis and found 1,340 potential NAT pairs. The expression of both sense and antisense transcripts of 957 NAT pairs was confirmed using Arabidopsis full-length cDNAs and public massively parallel signature sequencing (MPSS) data. Three known or putative Arabidopsis imprinted genes have cis-antisense transcripts. Sequences and the genomic arrangement of two Arabidopsis NAT pairs are conserved in rice. CONCLUSION: We combined information from full-length cDNAs and Arabidopsis genome annotation in our NAT prediction work and reported cis-NAT pairs that could not otherwise be identified by using one of the two datasets only. Analysis of MPSS data suggested that for most Arabidopsis cis-NAT pairs, there is predominant expression of one of the two transcripts in a tissue-specific manner.

Alternative Splicing↗
PubMed2002

The past, present and future of genome-wide re-annotation.

Annotation, the process by which structural or functional information is inferred for genes or proteins, is crucial for obtaining value from genome sequences. We define the process of annotating a previously annotated genome sequence as 're-annotation', and examine the strengths and weaknesses of current manual and automatic genome-wide re-annotation approaches.

Computational Biology↗