Michael Primig

Ashbya Genome Database 3.0: a cross-species genome and transcriptome browser for yeast biologists.

BackgroundThe Ashbya Genome Database (AGD) 3.0 is an innovative cross-species genome and transcriptome browser based on release 40 of the Ensembl developer environment.DescriptionAGD 3.0 provides information on 4726 protein-encoding loci and 293 non-coding RNA genes present in the genome of the filamentous fungus Ashbya gossypii. A synteny viewer depicts the chromosomal location and orientation of orthologous genes in the budding yeast Saccharomyces cerevisiae. Genome-wide expression profiling data obtained with high-density oligonucleotide microarrays (GeneChips) are available for nearly all currently annotated protein-coding loci in A. gossypii and S. cerevisiae.ConclusionAGD 3.0 hence provides yeast- and genome biologists with comprehensive report pages including reliable DNA annotation, Gene Ontology terms associated with S. cerevisiae orthologues and RNA expression data as well as numerous links to external sources of information. The database is accessible at http://agd.vital-it.ch/.

NPR1 Kinase and RSP5-BUL1/2 Ubiquitin Ligase Control GLN3-dependent Transcription in Saccharomyces cerevisiae

The GATA transcription factors GLN3 and GAT1 activate nitrogen-regulated genes in Saccharomyces cerevisiae. NPR1 is a protein kinase that controls post-Golgi sorting of amino acid permeases. In the presence of a good nitrogen source, TOR (target of rapamycin) maintains GLN3 and NPR1 phosphorylated and inactive by inhibiting the type 2A-related phosphatase SIT4. We identified NPR1 as a regulator of GLN3. Specifically, loss of NPR1 causes nuclear translocation and activation of GLN3, but not GAT1, in nitrogen-rich conditions. NPR1-mediated inhibition of GLN3 is independent of the phosphatase SIT4. We also demonstrate that the E3/E4 ubiquitin-protein ligase proteins RSP5 and BUL1/2 are required for GLN3 activation under poor nitrogen conditions. Thus, NPR1 and BUL1/2 antagonistically control GLN3-dependent transcription, suggesting a role for regulated ubiquitination in the control of nutrient-responsive transcription.

Novel Response to Microtubule Perturbation in Meiosis

ABSTRACT During the mitotic cell cycle, microtubule depolymerization leads to a cell cycle arrest in metaphase, due to activation of the spindle checkpoint. Here, we show that under microtubule-destabilizing conditions, such as low temperature or the presence of the spindle-depolymerizing drug benomyl, meiotic budding yeast cells arrest in G1 or G2, instead of metaphase. Cells arrest in G1 if microtubule perturbation occurs as they enter the meiotic cell cycle and in G2 if cells are already undergoing premeiotic S phase. Concomitantly, cells down-regulate genes required for cell cycle progression, meiotic differentiation, and spore formation in a highly coordinated manner. Decreased expression of these genes is likely to be responsible for halting both cell cycle progression and meiotic development. Our results point towards the existence of a novel surveillance mechanism of microtubule integrity that may be particularly important during specialized cell cycles when coordination of cell cycle progression with a developmental program is necessary.

Genome-wide Expression Profiling, In Vivo DNA Binding Analysis, and Probabilistic Motif Prediction Reveal Novel Abf1 Target Genes during Fermentation, Respiration, and Sporulation in Yeast

The autonomously replicating sequence binding factor 1 (Abf1) was initially identified as an essential DNA replication factor and later shown to be a component of the regulatory network controlling mitotic and meiotic cell cycle progression in budding yeast. The protein is thought to exert its functions via specific interaction with its target site as part of distinct protein complexes, but its roles during mitotic growth and meiotic development are only partially understood. Here, we report a comprehensive approach aiming at the identification of direct Abf1-target genes expressed during fermentation, respiration, and sporulation. Computational prediction of the proteins target sites was integrated with a genome-wide DNA binding assay in growing and sporulating cells. The resulting data were combined with the output of expression profiling studies using wild-type versus temperature-sensitive alleles. This work identified 434 protein-coding loci as being transcriptionally dependent on Abf1. More than 60% of their putative promoter regions contained a computationally predicted Abf1 binding site and/or were bound by Abf1 in vivo, identifying them as direct targets. The present study revealed numerous loci previously unknown to be under Abf1 control, and it yielded evidence for the proteins variable DNA binding pattern during mitotic growth and meiotic development.

Muscle gene expression is a marker of amyotrophic lateral sclerosis severity.

Background: Amyotrophic lateral sclerosis (ALS) is a fatal adult-onset degenerative disease characterized by the loss of upper and lower motor neurons leading to progressive muscle atrophy and paralysis. The lack of molecular markers of the progression of disease is detrimental to clinical practice and therapeutic trials. Objective: This study was designed to identify gene expression changes in skeletal muscle that could reliably define the degree of disease severity. Methods: Gene expression profiles were obtained from the deltoid muscles of ALS patients and healthy subjects. Changes in differentially expressed genes were compared to the status of deltoid muscle disability, as determined by manual muscle testing, electrophysiology and the degree of myofiber atrophy. Functionally related genes were grouped by annotation analysis, and deltoid muscle injury was predicted using binary tree classifiers. Results: Two sets of 25 and 70 transcripts appeared differentially regulated exclusively in early and advanced states of deltoid muscle impairment, respectively. The expression of another set of 198 transcripts correlated with a composite score of muscle injury combining manual muscle testing and histological examination. From the totality of these expression changes, 155 transcripts distinguished advanced from early deltoid muscle impairment with 80% sensitivity and 100% specificity. Nine of these transcripts, known also to be regulated in ALS mouse and surgically denervated muscle, predicted the advanced disease status with 100% sensitivity and specificity. Conclusion: We provide robust gene expression changes that can be of practical use when monitoring ALS status and the effects of disease-modifying drugs.

goCluster integrates statistical analysis and functional interpretation of microarray expression data

MOTIVATIONnSeveral tools that facilitate the interpretation of transcriptional profiles using gene annotation data are available but most of them combine a particular statistical analysis strategy with functional information. goCluster extends this concept by providing a modular framework that facilitates integration of statistical and functional microarray data analysis with data interpretation.nnnRESULTSngoCluster enables scientists to employ annotation information, clustering algorithms and visualization tools in their array data analysis and interpretation strategy. The package provides four clustering algorithms and GeneOntology terms as prototype annotation data. The functional analysis is based on the hypergeometric distribution whereby the Bonferroni correction or the false discovery rate can be used to correct for multiple testing. The approach implemented in goCluster was successfully applied to interpret the results of complex mammalian and yeast expression data obtained with high density oligonucleotide microarrays (GeneChips).nnnAVAILABILITYngoCluster is available via the BioConductor portal at www.bioconductor.org. The software package, detailed documentation, user- and developer guides as well as other background information are also accessible via a web portal at http://www.bioz.unibas.ch/goclusternnnCONTACTnmichael.primig@unibas.ch

The GermOnline cross-species systems browser provides comprehensive information on genes and gene products relevant for sexual reproduction

We report a novel release of the GermOnline knowledgebase covering genes relevant for the cell cycle, gametogenesis and fertility. GermOnline was extended into a cross-species systems browser including information on DNA sequence annotation, gene expression and the function of gene products. The database covers eight model organisms and Homo sapiens, for which complete genome annotation data are available. The database is now built around a sophisticated genome browser (Ensembl), our own microarray information management and annotation system (MIMAS) used to extensively describe experimental data obtained with high-density oligonucleotide microarrays (GeneChips) and a comprehensive system for online editing of database entries (MediaWiki). The RNA data include results from classical microarrays as well as tiling arrays that yield information on RNA expression levels, transcript start sites and lengths as well as exon composition. Members of the research community are solicited to help GermOnline curators keep database entries on genes and gene products complete and accurate. The database is accessible at .

MIMAS: an innovative tool for network-based high density oligonucleotide microarray data management and annotation

BackgroundThe high-density oligonucleotide microarray (GeneChip) is an important tool for molecular biological research aiming at large-scale detection of small nucleotide polymorphisms in DNA and genome-wide analysis of mRNA concentrations. Local array data management solutions are instrumental for efficient processing of the results and for subsequent uploading of data and annotations to a global certified data repository at the EBI (ArrayExpress) or the NCBI (GeneOmnibus).DescriptionTo facilitate and accelerate annotation of high-throughput expression profiling experiments, the Microarray Information Management and Annotation System (MIMAS) was developed. The system is fully compliant with the Minimal Information About a Microarray Experiment (MIAME) convention. MIMAS provides life scientists with a highly flexible and focused GeneChip data storage and annotation platform essential for subsequent analysis and interpretation of experimental results with clustering and mining tools. The system software can be downloaded for academic use upon request.ConclusionMIMAS implements a novel concept for nation-wide GeneChip data management whereby a network of facilities is centered on one data node directly connected to the European certified public microarray data repository located at the EBI. The solution proposed may serve as a prototype approach to array data management between research institutes organized in a consortium.