Search

The physical ends of eukaryotic chromosomes consist of repetitive DNA sequences, which are associated with specialized proteins forming a nucleoprotein structure essential for the integrity of the linear chromosomes, and are known as telomeres. Telomerase is an enzyme responsible for the maintenance of the telomeric repeats at the end of the chromosomes. Telomerase is a ribonucleoprotein, which contains a catalytic subunit that possesses reverse transcriptase activity, and a RNA subunit that acts as a template, since it possess the telomeric repeat sequences necessary to amplify telomere ends. Telomeres are transcribed in most eukaryotes into a non-coding RNA know as TERRA (Telomeric repeats-containing RNA). It has been proposed that TERRA may act as a regulator of telomere homeostasis, and as an inhibitor of telomerase, however, its specific function is still unknown. In Saccharomyces cerevisiae, TERRA is rapidly degraded by the 5’-3’ Rat1 exonuclease, which has hampered its study by classic biochemical experiments in yeast. In this thesis, we report the use of cytological approaches to study TERRA in budding yeast. Two different approaches were used for this purpose: the fluorescent in-situ hybridization (FISH) and the labeling of TERRA by the MS2-GFP system, which allow the visualization of TERRA transcripts form a single telomere in living cells. With these two approaches, we observed that TERRA is expressed from a single telomere and accumulates as a single perinuclear foci, in a small percentage of cells population. We also demonstrate that TERRA expression occurs due to telomere shortening. We demonstrate that TERRA interacts in vivo with the telomerase RNA (TLC1) in yeast. Telomere elongation depends on the action of several telomerase molecules that are visible as clusters, which associate with telomeres in late S phase in yeast, and mammalian cells. In adidition, we show that TERRA stimulates the nucleation of telomerase clusters. By performing time course experiments of TERRA and TLC1 RNA in live cells, we observed that TERRA acts as a scaffold for generating telomerase clusters, which are then recruited in late S phase to the telomere from which TERRA molecules originated. The recruitment of TERRA to its telomere of origin is dependent on factors that control telomerase recruitment at telomeres like: Mre11, Tel1 and the yKu complex. We propose that a short telomere expresses TERRA to assemble and organize telomerase molecules, which later on allows their recruitment at the short telomere, where elongation is needed. Finally we showed an up-regulation of TERRA, and telomerase RNA TLC1, accompanied by a predominant cytoplasmic localization as cell growth progresses from exponential growth to diauxic shift, and stationary phase. In these conditions, TERRA foci co-localize with TLC1 RNA foci, suggesting that the function of TERRA as a scaffold molecule to generate telomerase cluster is necessary for this yeast cell growth phases., Les télomères à l’extrémité des chromosomes constituent une structure d’ADN et de protéines essentielle à l’intégrité de ces chromosomes. La télomérase est l’enzyme responsable du maintien des répétitions télomériques à l’extrémité des chromosomes. Cette enzyme est constituée d’une sous-unité catalytique, qui possède une activité de transcriptase réverse, et d’une sous-unité d’ARN, qui fourni la matrice nécessaire à la synthèse des répétitions télomériques. Les ARN contenant des répétions télomériques (ou Telomeric repeats-containing RNA; TERRA) constitue une nouvelle classe d’ARN non-codants transcrits à partir des télomères et conservée chez la plupart des eucaryotes. TERRA a été proposé d’agir comme un régulateur de l‘homéostasie des télomères et comme inhibiteur de la télomérase, mais sa fonction spécifique reste inconnue. De plus, chez la levure Saccharomyces cerevisiae, TERRA est rapidement dégradé par l’exonucléase 5’-3’ Rat1, ce qui complique l’étude de cet ARN par les méthodes biochimiques classiques. Dans cette thèse, nous rapportons l‘utilisation d’une approche cytologique pour étudier TERRA dans les cellules de levures. Deux approches sont utilisées : l’hybridation in situ en fluorescence (FISH) et l’étiquetage de TERRA à l’aide du système MS2-GFP, qui nous permet de visualiser l’expression de TERRA transcrit d’un seul télomère dans des cellules vivantes. Avec ces deux approches, nous observons que TERRA exprimé à partir d’un seul télomère s’accumule dans un faible nombre de cellules, sous la forme d’un focus périnucléaire. De plus, nous montrons que TERRA est exprimé lorsque son télomère raccourcit. Par immunoprécipitation, nous montrons que TERRA interagit in vivo avec l’ARN de la télomérase de levure, TLC1. L’élongation des télomères dépend de l‘action de multiples molécules de télomérase, qui sont visibles sous la forme de clusters de télomérases, qui s‘associent en phase S avec les télomères chez la levure et les cellules de mammifère. Nous démontrons que TERRA stimule la nucléation de ces clusters de télomérase. Par imagerie en temps réel de TERRA et de l’ARN TLC1, nous observons que TERRA agit comme molécule d’échafaudage pour générer des clusters de télomérases, qui sont par la suite recrutés, en phase S, au télomère duquel TERRA a été exprimé. Le recrutement d’un focus de TERRA à son télomère d’origine dépend des facteurs contrôlant le recrutement de la télomérase aux télomères : Mre11, Tel1 et le complexe yKu. Nous proposons qu’un télomère court exprime TERRA pour assembler et organiser les molécules de télomérase, afin que celles-ci soit puissent être recrutées au télomère court pour permettre son élongation. Enfin, nous observons une surexpression de l’ARN de la télomérase TLC1 et de TERRA, ainsi qu’une accumulation cytoplasmique de ceux-ci sous la forme de foci, lorsque la cellule passe de la phase de croissance exponentiel à la phase diauxique, puis à la phase stationnaire. Dans ces conditions, les foci d’ARN TLC1 colocalisent avec les foci de TERRA, suggérant que la fonction de TERRA comme molécule d’échafaudage pour générer des foci de télomérase est aussi nécessaire durant ces phases du cycle de croissance des levures., Please find the referenced videos attached

Metabolome, proteome and physiology measurements were combined with mathematical modeling to unravel the temporal regulation of the metabolic fluxes during the diauxic shift in Saccharomyces cerevisiae., The diauxic shift involves three main events: a reduction in the glycolytic flux and the production of storage compounds before glucose depletion; the reversion of carbon flow through glycolysis and onset of the glyoxylate cycle operation upon glucose exhaustion; and the shutting down of the pentose phosphate (PP) pathway with a change in the source of NADPH regeneration. The redistribution of fluxes toward the production of storage compounds prior glucose depletion drives glycolytic reactions closer to equilibrium, which is essential for the reversion of fluxes upon glucose exhaustion. The onset of the glyoxylate cycle is quantitatively more important than the activation of the tricarboxylic acid cycle for growth on ethanol. Flux through the PP pathway is halted in the later stages of the adaptation and NADPH regeneration is taken over by NADP-dependent enzymes in the glyoxylate cycle and ethanol metabolism., The diauxic shift in Saccharomyces cerevisiae is an ideal model to study how eukaryotic cells readjust their metabolism from glycolytic to gluconeogenic operation. In this work, we generated time-resolved physiological data, quantitative metabolome (69 intracellular metabolites) and proteome (72 enzymes) profiles. We found that the diauxic shift is accomplished by three key events that are temporally organized: (i) a reduction in the glycolytic flux and the production of storage compounds before glucose depletion, mediated by downregulation of phosphofructokinase and pyruvate kinase reactions; (ii) upon glucose exhaustion, the reversion of carbon flow through glycolysis and onset of the glyoxylate cycle operation triggered by an increased expression of the enzymes that catalyze the malate synthase and cytosolic citrate synthase reactions; and (iii) in the later stages of the adaptation, the shutting down of the pentose phosphate pathway with a change in NADPH regeneration. Moreover, we identified the transcription factors associated with the observed changes in protein abundances. Taken together, our results represent an important contribution toward a systems-level understanding of how this adaptation is realized.

Yeast metabolism is widely exploited in many biotechnological processes. The budding yeast Saccharomyces cerevisiae is good model system for studying nutritional adaptation in eukaryotic cells. The main characteristic of metabolism is ability to grow on specific or common carbon source. From this point of view glucose is preferred source of carbon and energy for yeast cells. Cultivation of Saccharomyces cerevisiae in medium with high glucose concentration cells consume at first the glucose and when the glucose is depleted, yeast starts consuming the by-product of their own metabolism, ethanol. This change from growth on glucose to growth on ethanol is known as the diauxic shift. In this study diauxic behaviour of two yeast strains Saccharomyces cerevisiae was observed. It was found that diauxic shift of strain 612 occured after 12 hours of incubation and for strain Kolín after 8 hours of incubation.

International audience; The Saccharomyces cerevisiae protein Tfs1p is known as a dual protein. On the one hand, it inhibits the carboxypeptidase Y protease, and on the other, it inhibits Ira2p, a GTPase-activating protein of Ras. We managed to dissect precise areas of Tfs1p specifically involved in only one of those functions. Based on these data, specific Tfs1p point mutants affected in only one of these two functions were constructed. In order to obtain insights on the physiological role of these functions, systematic phenotypic tests were performed on strains expressing these specific Tfs1p mutants. The results obtained demonstrate that the inhibition of Ira2p by Tfs1p is the predominant function under the conditions tested.

Ctk1 is a kinase involved in transcriptional control. We show in the two-hybrid system that Ctk1 interacts with Snf1, a kinase regulating glucose-dependent genes. Co-purification experiments confirmed the two-hybrid interaction but only when cells were grown at low glucose concentrations. Deletion of Ctk1 or its associated partners, Ctk2 and Ctk3, conferred synthetic lethality with null mutants of Snf1 or Snf1-associated proteins. Northern blot analysis suggested that Ctk1 and Snf1 act together in vivo to regulate GSY2. These findings support the view that Ctk1 interacts with Snf1 in a functional module involved in the cellular response to glucose limitation.

Background Real-time RT-PCR is the recommended method for quantitative gene expression analysis. A compulsory step is the selection of good reference genes for normalization. A few genes often referred to as HouseKeeping Genes (HSK), such as ACT1, RDN18 or PDA1 are among the most commonly used, as their expression is assumed to remain unchanged over a wide range of conditions. Since this assumption is very unlikely, a geometric averaging of multiple, carefully selected internal control genes is now strongly recommended for normalization to avoid this problem of expression variation of single reference genes. The aim of this work was to search for a set of reference genes for reliable gene expression analysis in Saccharomyces cerevisiae. Results From public microarray datasets, we selected potential reference genes whose expression remained apparently invariable during long-term growth on glucose. Using the algorithm geNorm, ALG9, TAF10, TFC1 and UBC6 turned out to be genes whose expression remained stable, independent of the growth conditions and the strain backgrounds tested in this study. We then showed that the geometric averaging of any subset of three genes among the six most stable genes resulted in very similar normalized data, which contrasted with inconsistent results among various biological samples when the normalization was performed with ACT1. Normalization with multiple selected genes was therefore applied to transcriptional analysis of genes involved in glycogen metabolism. We determined an induction ratio of 100-fold for GPH1 and 20-fold for GSY2 between the exponential phase and the diauxic shift on glucose. There was no induction of these two genes at this transition phase on galactose, although in both cases, the kinetics of glycogen accumulation was similar. In contrast, SGA1 expression was independent of the carbon source and increased by 3-fold in stationary phase. Conclusion In this work, we provided a set of genes that are suitable reference genes for quantitative gene expression analysis by real-time RT-PCR in yeast biological samples covering a large panel of physiological states. In contrast, we invalidated and discourage the use of ACT1 as well as other commonly used reference genes (PDA1, TDH3, RDN18, etc) as internal controls for quantitative gene expression analysis in yeast.

Background Understanding how cells make decisions, and why they make the decisions they make, is of fundamental interest in systems biology. To address this, we study the decisions made by E. coli on which genes to express when presented with two different sugars. It is well-known that glucose, E. coli’s preferred carbon source, represses the uptake of other sugars by means of global and gene-specific mechanisms. However, less is known about the utilization of glucose-free sugar mixtures which are found in the natural environment of E. coli and in biotechnology. Results Here, we combine experiment and theory to map the choices of E. coli among 6 different non-glucose carbon sources. We used robotic assays and fluorescence reporter strains to make precise measurements of promoter activity and growth rate in all pairs of these sugars. We find that the sugars can be ranked in a hierarchy: in a mixture of a higher and a lower sugar, the lower sugar system shows reduced promoter activity. The hierarchy corresponds to the growth rate supported by each sugar- the faster the growth rate, the higher the sugar on the hierarchy. The hierarchy is ‘soft’ in the sense that the lower sugar promoters are not completely repressed. Measurement of the activity of the master regulator CRP-cAMP shows that the hierarchy can be quantitatively explained based on differential activation of the promoters by CRP-cAMP. Comparing sugar system activation as a function of time in sugar pair mixtures at sub-saturating concentrations, we find cases of sequential activation, and also cases of simultaneous expression of both systems. Such simultaneous expression is not predicted by simple models of growth rate optimization, which predict only sequential activation. We extend these models by suggesting multi-objective optimization for both growing rapidly now and preparing the cell for future growth on the poorer sugar. Conclusion We find a defined hierarchy of sugar utilization, which can be quantitatively explained by differential activation by the master regulator cAMP-CRP. The present approach can be used to understand cell decisions when presented with mixtures of conditions. Electronic supplementary material The online version of this article (doi:10.1186/s12918-014-0133-z) contains supplementary material, which is available to authorized users.