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PubMed2005

The expression pattern of the Drosophila vesicular glutamate transporter: a marker protein for motoneurons and glutamatergic centers in the brain.

To determine the functions of genes in distinct tissues during the development of Drosophila, it is often desirable to have genetic tools for targeted gene expression in restricted subsets of cells. Here, we report the identification of the enhancer trap line OK371-Gal4, which is expressed in a defined subset of neurons from embryonic stage 15 to adulthood. In the ventral nerve chord, it is expressed almost exclusively in motoneurons and in the brain in a limited number of neuronal clusters. The OK371 enhancer trap element is inserted in the proximity of the annotated gene CG9887, which encodes a Drosophila vesicular glutamate transporter (DVGLUT). In situ hybridization experiments using antisense probes against the mRNAs of DVGLUT and neighboring genes confirm that OK371-Gal4 detects an enhancer of DVGLUT. DVGLUT-specific antibodies detect its expression in identifiable motoneurons, which are known to be glutamatergic in Drosophila. DVGLUT initially appears in small cytoplasmic punctae in the somata of these motoneurons. As development proceeds, DVGLUT-positive particles are transported along motor axons and become concentrated at neuromuscular junctions (NMJs), where they colocalize with the synaptic vesicle marker synaptotagmin. We find that the DVGLUT-specific antibodies are valuable tools for the identification of motoneurons and other glutamatergic neurons. In addition, the OK371-Gal4 line can be used for the targeted expression of any gene in these cells. Given that vesicular glutamate transporters are essential for the uptake of the neurotransmitter glutamate into synaptic vesicles these tools provide a means to test gene function in these functionally important neurons.

Amino Acid Sequence↗

PubMed2006

Molecular classification identifies a subset of human papillomavirus--associated oropharyngeal cancers with favorable prognosis.

PURPOSE: We sought to determine the prevalence of biologically relevant human papillomavirus (HPV) in oropharyngeal squamous cell carcinoma (OSCC). Retinoblastoma (Rb) downregulation by HPV E7 results in p16 upregulation. We hypothesized that p16 overexpression in OSCC defines HPV-induced tumors with favorable prognosis. METHODS: Using real-time polymerase chain reaction for HPV16, we determined HPV16 viral load in a cohort of 79 OSCCs annotated with long-term patient follow-up. A tissue microarray including these cases was also analyzed for p53, p16, and Rb utilizing in situ quantitative protein expression analysis. Seventy-seven tumors were classified into a three-class model on the basis of p16 expression and HPV-DNA presence: class I, HPV-, p16 low; class II, HPV+, p16 low; and class III, HPV+, p16 high. RESULTS: Sixty-one percent of OSCCs were HPV16+; HPV status alone was of no prognostic value for local recurrence and was barely significant for survival times. Overall survival was improved in class III (79%) compared with the other two classes (20% and 18%; P = .0095). Disease-free survival for the same class was 75% versus 15% and 13% (P = .0025). The 5-year local recurrence was 14% in class III versus 45% and 74% (P = .03). Only patients in class III had significantly lower p53 and Rb expression (P = .017 and .001, respectively). Multivariable survival analysis confirmed the prognostic value of the three-class model. CONCLUSION: Using this system for classification, we define the molecular profile of HPV+ OSCC with favorable prognosis, namely HPV+/p16 high (class III). This study defines a novel classification scheme that may have value for patient stratification for clinical trials testing HPV-targeted therapies.

Adult↗

PubMed2001

Genomics, the cytoskeleton and motility.

The draft human genome sequence is an important step in cataloguing the molecular hardware that supports the processes of life. Here I look at what we have learned from the draft sequence about our cytoskeletal and motility systems. Most cytoskeletal and motility proteins were discovered previously by biochemical isolation, traditional cloning methods or random sequences of complementary DNAs. The ongoing challenges of assembling and annotating genes for motor proteins with long, fragmented coding sequences emphasize the importance of expert knowledge of related proteins and confirmatory evidence from cDNA sequences.

Actins↗

PubMed2004

5' Long serial analysis of gene expression (LongSAGE) and 3' LongSAGE for transcriptome characterization and genome annotation.

Complete genome annotation relies on precise identification of transcription units bounded by a transcription initiation site (TIS) and a polyadenylation site (PAS). To facilitate this process, we developed a set of two complementary methods, 5' Long serial analysis of gene expression (LS) and 3'LS. These analyses are based on the original SAGE and LS methods coupled with full-length cDNA cloning, and enable the high-throughput extraction of the first and the last 20 bp of each transcript. We demonstrate that the mapping of 5'LS and 3'LS tags to the genome allows the localization of TIS and PAS. By using 537 tag pairs mapping to the region of known genes, we confirmed that >90% of the tag pairs appropriately assigned to the first and last exons. Moreover, by using tag sequences as primers for RT-PCRs, we were able to recover putative full-length transcripts in 81% of the attempts. This large-scale generation of transcript terminal tags is at least 20-40 times more efficient than full-length cDNA cloning and sequencing in the identification of complete transcription units. The apparent precision and deep coverage makes 5'LS and 3'LS an advanced approach for genome annotation through whole-transcriptome characterization.

Animals↗

PubMed1997

Neural network prediction of translation initiation sites in eukaryotes: perspectives for EST and genome analysis.

Translation in eukaryotes does not always start at the first AUG in an mRNA, implying that context information also plays a role. This makes prediction of translation initiation sites a non-trivial task, especially when analysing EST and genome data where the entire mature mRNA sequence is not known. In this paper, we employ artificial neural networks to predict which AUG triplet in an mRNA sequence is the start codon. The trained networks correctly classified 88% of Arabidopsis and 85% of vertebrate AUG triplets. We find that our trained neural networks use a combination of local start codon context and global sequence information. Furthermore, analysis of false predictions shows that AUGs in frame with the actual start codon are more frequently selected than out-of-frame AUGs, suggesting that our networks use reading frame detection. A number of conflicts between neural network predictions and database annotations are analysed in detail, leading to identification of possible database errors.

Amino Acid Sequence↗

PubMed1999

Molecular interaction map of the mammalian cell cycle control and DNA repair systems.

Eventually to understand the integrated function of the cell cycle regulatory network, we must organize the known interactions in the form of a diagram, map, and/or database. A diagram convention was designed capable of unambiguous representation of networks containing multiprotein complexes, protein modifications, and enzymes that are substrates of other enzymes. To facilitate linkage to a database, each molecular species is symbolically represented only once in each diagram. Molecular species can be located on the map by means of indexed grid coordinates. Each interaction is referenced to an annotation list where pertinent information and references can be found. Parts of the network are grouped into functional subsystems. The map shows how multiprotein complexes could assemble and function at gene promoter sites and at sites of DNA damage. It also portrays the richness of connections between the p53-Mdm2 subsystem and other parts of the network.

Animals↗

PubMed2003

Expression cloning and function of the rat NK activating and inhibitory receptors NKR-P1A and -P1B.

We have characterized the rat NK receptors NKR-P1A and -P1B. A cDNA library was constructed from the rat NK cell line, RNK-16. Using the pMX retroviral cloning system, the library was expressed in the human NK cell line, YTSeco, and cells staining with the anti-rat mAb 10/78 identified, FACS sorted and cloned. Two genes, corresponding to rat NK receptors NKR-P1A and -P1B, were identified. YTSeco clones expressing either NKR-P1A or -P1B were functionally tested using (51)Cr-release redirected lysis assays and calcium flux experiments. This demonstrated that NKR-P1A functions as an activation receptor, as previously shown, and that NKR-P1B functions as an inhibitory receptor, as predicted by the presence of an immunoreceptor tyrosine-based inhibition motif. Although annotated as NKR-P1A specific, we found that mAb 10/78 stained YTSeco clones expressing NKR-P1A or -P1B equally well, as did the mAb 3.2.3 used for the original cloning of rat NKR-P1A.

Animals↗

PubMed1991

The master two-dimensional gel database of human AMA cell proteins: towards linking protein and genome sequence and mapping information (update 1991).

The master two-dimensional gel database of human AMA cells currently lists 3801 cellular and secreted proteins, of which 371 cellular polypeptides (306 IEF; 65 NEPHGE) were added to the master images during the last 10 months. These include: (i) very basic and acidic proteins that do not focus under normal running conditions and (ii) low-abundant proteins that can only be detected after prolonged gel exposure. Annotation categories updated in this version include "protein name", "antibody against protein", "cellular localization", and "microsequenced proteins". New entries include "human autoantigens" and "cDNAs". For convenience we have included an alphabetical list of all known proteins recorded in this database. In the long run, the main goal of this database is to link protein and DNA sequencing and mapping information (Human Genome Program) and to provide an integrated picture of the expression levels and properties of the thousands of proteins that orchestrate various cellular functions both under physiological and abnormal conditions.

Cell Line, Transformed↗

PubMed2003

Human bronchoalveolar lavage: biofluid analysis with special emphasis on sample preparation.

Respiratory diseases are an important health problem throughout the world. Whether caused by industrial pollutants, infections, smoking, cancer or metabolic diseases, damage to the lungs and airways often lead to morbidity or death. Bronchoalveolar lavage (BAL) obtained by fiber-optic bronchoscopy is a biofluid mirroring the expression of normally secreted pulmonary proteins and the products of activated cells and destructive processes. The characterization of the proteome within this compartment provides an opportunity to establish temporal and prognostic indicators of airway disease. The objective of this study was to develop methods of analysis of BAL samples, which achieved the highest level of annotation of the expression map of this proteome. We have optimized the process of sample preparation after investigating a variety of techniques including dialysis, ultramembrane filtration, precipitation and gel filtration. We have further studied methods to remove albumin from BAL in order to unmask proteins hidden on two-dimensional gels. In a pilot application of the method, BAL protein profiles obtained from healthy nonsmokers and smokers at risk for developing chronic obstructive pulmonary disease showed distinct differences.

Albumins↗

PubMed2005

Moonlighting vacuolar protease: multiple jobs for a busy protein.

In this Genomics Era with a wealth of annotated sequence data, it is easy to pigeonhole a protein into a particular function. However, Noa Matarasso et al. recently found a vacuolar protease that can also function as a transcription factor. This work illustrates that a protein can serve multiple roles in a cell, raising intriguing questions as to the extent that genomic information can be deciphered de novo.

Ethylenes↗

PubMed2006

MiST: a microbial signal transduction database.

Signal transduction pathways control most cellular activities in living cells ranging from regulation of gene expression to fine-tuning enzymatic activity and controlling motile behavior in response to extracellular and intracellular signals. Because of their extreme sequence variability and extensive domain shuffling, signal transduction proteins are difficult to identify, and their current annotation in most leading databases is often incomplete or erroneous. To overcome this problem, we have developed the microbial signal transduction (MiST) database (http://genomics.ornl.gov/mist), a comprehensive library of the signal transduction proteins from completely sequenced bacterial and archaeal genomes. By searching for domain profiles that implicate a particular protein as participating in signal transduction, we have systematically identified 69 270 two- and one-component proteins in 365 bacterial and archaeal genomes. We have designed a user-friendly website to access and browse the predicted signal transduction proteins within various organisms. Further capabilities include gene/protein sequence retrieval, visualized domain architectures, interactive chromosomal views for exploring gene neighborhood, advanced querying options and cross-species comparison. Newly available, complete genomes are loaded into the database each month. MiST is the only comprehensive and up-to-date electronic catalog of the signaling machinery in microbial genomes.

Archaeal Proteins↗

PubMed2005

Gene expression in the brain and kidney of rainbow trout in response to handling stress.

BACKGROUND: Microarray technologies are rapidly becoming available for new species including teleost fishes. We constructed a rainbow trout cDNA microarray targeted at the identification of genes which are differentially expressed in response to environmental stressors. This platform included clones from normalized and subtracted libraries and genes selected through functional annotation. Present study focused on time-course comparisons of stress responses in the brain and kidney and the identification of a set of genes which are diagnostic for stress response. RESULTS: Fish were stressed with handling and samples were collected 1, 3 and 5 days after the first exposure. Gene expression profiles were analysed in terms of Gene Ontology categories. Stress affected different functional groups of genes in the tissues studied. Mitochondria, extracellular matrix and endopeptidases (especially collagenases) were the major targets in kidney. Stress response in brain was characterized with dramatic temporal alterations. Metal ion binding proteins, glycolytic enzymes and motor proteins were induced transiently, whereas expression of genes involved in stress and immune response, cell proliferation and growth, signal transduction and apoptosis, protein biosynthesis and folding changed in a reciprocal fashion. Despite dramatic difference between tissues and time-points, we were able to identify a group of 48 genes that showed strong correlation of expression profiles (Pearson r > /0.65/) in 35 microarray experiments being regulated by stress. We evaluated performance of the clone sets used for preparation of microarray. Overall, the number of differentially expressed genes was markedly higher in EST than in genes selected through Gene Ontology annotations, however 63% of stress-responsive genes were from this group. CONCLUSIONS: 1. Stress responses in fish brain and kidney are different in function and time-course. 2. Identification of stress-regulated genes provides the possibility for measuring stress responses in various conditions and further search for the functionally related genes.

Animals↗

PubMed2006

AceTree: a tool for visual analysis of Caenorhabditis elegans embryogenesis.

BACKGROUND: The invariant lineage of the nematode Caenorhabditis elegans has potential as a powerful tool for the description of mutant phenotypes and gene expression patterns. We previously described procedures for the imaging and automatic extraction of the cell lineage from C. elegans embryos. That method uses time-lapse confocal imaging of a strain expressing histone-GFP fusions and a software package, StarryNite, processes the thousands of images and produces output files that describe the location and lineage relationship of each nucleus at each time point. RESULTS: We have developed a companion software package, AceTree, which links the images and the annotations using tree representations of the lineage. This facilitates curation and editing of the lineage. AceTree also contains powerful visualization and interpretive tools, such as space filling models and tree-based expression patterning, that can be used to extract biological significance from the data. CONCLUSION: By pairing a fast lineaging program written in C with a user interface program written in Java we have produced a powerful software suite for exploring embryonic development.

Animals↗

PubMed2001

An overview of the genome of Nostoc punctiforme, a multicellular, symbiotic cyanobacterium.

Nostoc punctiforme is a filamentous cyanobacterium with extensive phenotypic characteristics and a relatively large genome, approaching 10 Mb. The phenotypic characteristics include a photoautotrophic, diazotrophic mode of growth, but N. punctiforme is also facultatively heterotrophic; its vegetative cells have multiple developmental alternatives, including terminal differentiation into nitrogen-fixing heterocysts and transient differentiation into spore-like akinetes or motile filaments called hormogonia; and N. punctiforme has broad symbiotic competence with fungi and terrestrial plants, including bryophytes, gymnosperms and an angiosperm. The shotgun-sequencing phase of the N. punctiforme strain ATCC 29133 genome has been completed by the Joint Genome Institute. Annotation of an 8.9 Mb database yielded 7432 open reading frames, 45% of which encode proteins with known or probable known function and 29% of which are unique to N. punctiforme. Comparative analysis of the sequence indicates a genome that is highly plastic and in a state of flux, with numerous insertion sequences and multilocus repeats, as well as genes encoding transposases and DNA modification enzymes. The sequence also reveals the presence of genes encoding putative proteins that collectively define almost all characteristics of cyanobacteria as a group. N. punctiforme has an extensive potential to sense and respond to environmental signals as reflected by the presence of more than 400 genes encoding sensor protein kinases, response regulators and other transcriptional factors. The signal transduction systems and any of the large number of unique genes may play essential roles in the cell differentiation and symbiotic interaction properties of N. punctiforme.

Journal Article↗

PubMed2004

Molecular diversity of astrocytes with implications for neurological disorders.

The astrocyte represents the most abundant yet least understood cell type of the CNS. Here, we use a stringent experimental strategy to molecularly define the astrocyte lineage by integrating microarray datasets across several in vitro model systems of astrocyte differentiation, primary astrocyte cultures, and various astrocyterich CNS structures. The intersection of astrocyte data sets, coupled with the application of nonastrocytic exclusion filters, yielded many astrocyte-specific genes possessing strikingly varied patterns of regional CNS expression. Annotation of these astrocyte-specific genes provides direct molecular documentation of the diverse physiological roles of the astrocyte lineage. This global perspective in the normal brain also provides a framework for how astrocytes may participate in the pathogenesis of common neurological disorders like Alzheimer's disease, Parkinson's disease, stroke, epilepsy, and primary brain tumors.

Animals↗

PubMed2006

Understanding the cell in terms of structure and function: insights from structural genomics.

Structural genomics programs are only now moving into the large-scale production phase, yet have already produced around 2000 protein structures. Through a widespread if not exclusive emphasis on structural novelty, our knowledge of the protein fold universe is improving rapidly. With this information comes the challenge of structure-based function annotation for the many target proteins about which little or nothing is known. Recent years have therefore seen the emergence of impressively diverse bioinformatics approaches to predict the function of a protein structure. Attention is now turning to means of combining these predictions with information from various other sources.

Computational Biology↗

PubMed2001

A proteome database of human primary T helper cells.

We have established the first public database of human primary T helper cell proteome using two-dimensional electrophoresis (2-DE) and matrix assisted laser desorption/ionization-time of flight-mass spectrometry. For the database, CD4+ human T cells were activated with anti-CD3+anti-CD28 antibodies and metabolically labeled with [35S]methionine for 24 h. Cells were lysed and proteins were separated by 2-DE. About 1500 protein spots were detected in the resulting 2-DE gels with silver staining, and 2000 spots with autoradiography. We have identified 91 proteins from the 2-DE gels using peptide mass fingerprinting, and annotated them to our database. The identified proteins are also linked to SWISS-PROTand NCBI protein databases. Our database is available via the Internet at http://www3.btk.utu.fi:8080/Genomics/Proteomics/Database.

Databases, Protein↗

PubMed2005

Incorporating hidden Markov models for identifying protein kinase-specific phosphorylation sites.

Protein phosphorylation, which is an important mechanism in posttranslational modification, affects essential cellular processes such as metabolism, cell signaling, differentiation, and membrane transportation. Proteins are phosphorylated by a variety of protein kinases. In this investigation, we develop a novel tool to computationally predict catalytic kinase-specific phosphorylation sites. The known phosphorylation sites from public domain data sources are categorized by their annotated protein kinases. Based on the concepts of profile Hidden Markov Models (HMM), computational models are trained from the kinase-specific groups of phosphorylation sites. After evaluating the trained models, we select the model with highest accuracy in each kinase-specific group and provide a Web-based prediction tool for identifying protein phosphorylation sites. The main contribution here is that we have developed a kinase-specific phosphorylation site prediction tool with both high sensitivity and specificity.

Computational Biology↗