987 resultados para INTERACTING GALAXIES
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ABSTRACT Humic acids (HA) are a component of humic substances (HS), which are found in nearly all soils, sediments, and waters. They play a key role in many, if not most, chemical and physical properties in their environment. Despite the importance of HA, their high complexity makes them a poorly understood system. Therefore, understanding the physicochemical properties and interactions of HA is crucial for determining their fundamental role and obtaining structural details. Cationic surfactants are known to interact electrostatically and hydrophobically with HA. Because they are a very well-known and characterized system, they offer a good choice as molecular probes for studying HA. The objective of this study was to evaluate the interaction between cationic surfactants and HA through isothermal titration calorimetry in a thermodynamic manner, aiming to obtain information about the basic structure of HA, the nature of this interaction, and if HA from different origins show different basic structures. Contrary to what the supramolecular model asserts, HA structure is not loosely held, though it may separate depending on the conditions the HA are subjected to in their milieu. It did not show any division or conformational change when interacting with surfactants. The basic structure of the HA remains virtually the same regardless of the different sources and compositions of these HA.
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Idiopathic hypogonadotropic hypogonadism (IHH) is defined by absent or incomplete puberty and characterised biochemically by low levels of sex steroids, with low or inappropriately normal gonadotropin hormones. IHH is frequently accompanied by non-reproductive abnormalities, most commonly anosmia, which is present in 50-60% of cases and defines Kallmann syndrome. The understanding of IHH has undergone rapid evolution, both in respect of genetics and breadth of phenotype. Once considered in monogenic Mendelian terms, it is now more coherently understood as a complex genetic condition. Oligogenic and complex genetic-environmental interactions have now been identified, with physiological and environmental factors interacting in genetically susceptible individuals to alter the clinical course and phenotype. These potentially link IHH to ancient evolutionary pressures on the ancestral human genome.
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Complexity of biological function relies on large networks of interacting molecules. However, the evolutionary properties of these networks are not fully understood. It has been shown that selective pressures depend on the position of genes in the network. We have previously shown that in the Drosophila insulin/target of rapamycin (TOR) signal transduction pathway there is a correlation between the pathway position and the strength of purifying selection, with the downstream genes being most constrained. In this study, we investigated the evolutionary dynamics of this well-characterized pathway in vertebrates. More specifically, we determined the impact of natural selection on the evolution of 72 genes of this pathway. We found that in vertebrates there is a similar gradient of selective constraint in the insulin/TOR pathway to that found in Drosophila. This feature is neither the result of a polarity in the impact of positive selection nor of a series of factors affecting selective constraint levels (gene expression level and breadth, codon bias, protein length, and connectivity). We also found that pathway genes encoding physically interacting proteins tend to evolve under similar selective constraints. The results indicate that the architecture of the vertebrate insulin/TOR pathway constrains the molecular evolution of its components. Therefore, the polarity detected in Drosophila is neither specific nor incidental of this genus. Hence, although the underlying biological mechanisms remain unclear, these may be similar in both vertebrates and Drosophila.
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Accurate modeling of flow instabilities requires computational tools able to deal with several interacting scales, from the scale at which fingers are triggered up to the scale at which their effects need to be described. The Multiscale Finite Volume (MsFV) method offers a framework to couple fine-and coarse-scale features by solving a set of localized problems which are used both to define a coarse-scale problem and to reconstruct the fine-scale details of the flow. The MsFV method can be seen as an upscaling-downscaling technique, which is computationally more efficient than standard discretization schemes and more accurate than traditional upscaling techniques. We show that, although the method has proven accurate in modeling density-driven flow under stable conditions, the accuracy of the MsFV method deteriorates in case of unstable flow and an iterative scheme is required to control the localization error. To avoid large computational overhead due to the iterative scheme, we suggest several adaptive strategies both for flow and transport. In particular, the concentration gradient is used to identify a front region where instabilities are triggered and an accurate (iteratively improved) solution is required. Outside the front region the problem is upscaled and both flow and transport are solved only at the coarse scale. This adaptive strategy leads to very accurate solutions at roughly the same computational cost as the non-iterative MsFV method. In many circumstances, however, an accurate description of flow instabilities requires a refinement of the computational grid rather than a coarsening. For these problems, we propose a modified iterative MsFV, which can be used as downscaling method (DMsFV). Compared to other grid refinement techniques the DMsFV clearly separates the computational domain into refined and non-refined regions, which can be treated separately and matched later. This gives great flexibility to employ different physical descriptions in different regions, where different equations could be solved, offering an excellent framework to construct hybrid methods.
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A pilot study was conducted on the premature failures of neoprene strip seals in expansion joints in Iowa bridges. In a relatively large number of bridges, strip seals have pulled out of the steel extrusions or otherwise failed well before the expected life span of the seal. The most serious consequence of a strip-seal failure is damage to the bridge substructure due to salt, water, and debris interacting with the substructure. A literature review was performed. Manufacturers’ specifications and recommendations, practices in the states bordering Iowa, and Iowa DOT design and installation guidelines were reviewed. Discussions were held with bridge contractors and the installation of a strip seal system was observed. Iowa DOT bridge databases were analyzed. A national survey was conducted on the use and performance of strip seals. With guidance from the Iowa DOT, twelve in-service bridges with strip-seal expansion joints were selected for detailed investigation. Effective bridge temperatures and corresponding expansion-joint openings were measured, DOT inspection reports were reviewed, and likely cause(s) of premature failures of strip seals were proposed. All of the seals used in the twelve bridges that had the most serious failures were in concrete girder bridges. Experimental results show that for a majority of these serious failures, the joint opening at 0° F predicted by the Iowa DOT design equations, the joint opening at 0° F extrapolated from the experimental data, or both, are larger than the movement rating of the strip seal specified on the bridge plans. Other likely causes of premature failures of seals in the twelve bridges include debris and ice in the seal cavity, a large skew and the corresponding decrease in the movement rating of the seal, improper installation, and improper setting of the initial gap.
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The long-chain acyl-coenzyme A synthetase (ACS) gene gives rise to three transcripts containing different first exons preceded by specific regulatory regions A, B, and C. Exon-specific oligonucleotide hybridization indicated that only A-ACS mRNA is expressed in rat liver. Fibrate administration induced liver C-ACS strongly and A-ACS mRNA to a lesser extent. B-ACS mRNA remained undetectable. In primary rat hepatocytes and Fa-32 hepatoma cells C-ACS mRNA increased after treatment with fenofibric acid, alpha-bromopalmitate, tetradecylthioacetic acid, or alpha-linolenic acid. Nuclear run-on experiments indicated that fenofibric acid and alpha-bromopalmitate act at the transcriptional level. Transient transfections showed a 3.4-, 2.3-, and 2.2-fold induction of C-ACS promoter activity after fenofibric acid, alpha-bromopalmitate, and tetradecylthioacetic acid, respectively. Unilateral deletion and site-directed mutagenesis identified a peroxisome proliferator activator receptor (PPAR)-responsive element (PPRE) mediating the responsiveness to fibrates and fatty acids. This ACS PPRE contains three imperfect half sites spaced by 1 and 3 oligonucleotides and binds PPAR.retinoid X receptor heterodimers in gel retardation assays. In conclusion, the regulation of C-ACS mRNA expression by fibrates and fatty acids is mediated by PPAR.retinoid X receptor heterodimers interacting through a PPRE in the C-ACS promoters. PPAR therefore occupies a key position in the transcriptional control of a pivotal enzyme controlling the channeling of fatty acids into various metabolic pathways.
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"IT'S THE ECONOMY STUPID", BUT CHARISMA MATTERS TOO: A DUAL PROCESS MODEL OF PRESIDENTIAL ELECTION OUTCOMES. ABSTRACT Because charisma is assumed to be an important determinant of effective leadership, the extent to which a presidential nominee is more charismatic than his opponent should be an important determinant of voter choices. We computed a composite measure of the rhetorical richness of acceptances speeches given by U.S. presidential candidates at their national party convention. We added this marker of charisma to Ray C. Fair's presidential vote-share equation (1978; 2009). We theorized that voters decide using psychological attribution (i.e., due to macroeconomics and incumbency) as well as inferential processes (i.e., due to leader charismatic behavior) when voting. Controlling for the macro-level variables and incumbency in the Fair model, our results indicated that difference between nominees' charisma is a significant determinant of electoral success, particularly in close elections. This extended model significantly improves the precision of the Fair model and correctly predicts 23 out of the last 24 U.S. presidential elections. Paper 2: IT CEO LEADERSHIP, CORPORATE SOCIAL AND FINANCIAL PERFORMANCE. ABSTRACT We investigated whether CEO leadership predicted corporate financial performance (CFP) and corporate social performance (CSP). Using longitudinal data on 258 CEOs from 117 firms across 19 countries and 10 industry sectors, we found that determinants of CEO leadership (i.e., implicit motives) significantly predicted both CFP and CSP. As expected, the most consistent positive predictor was Responsibility Disposition when interacting with n (need for) Power. n Achievement and n Affiliation were generally negatively related or unrelated to outcomes. CSP was positively related to accounting measures of CFP. Our findings suggest that executive leader characteristics have important consequences for corporate level outcomes. Paper 3. PUNISHING THE POWERFUL: ATTRIBUTIONS OF BLAME AND LEADERSHIP ABSTRACT We propose that individuals are more lenient in attributing blame to leaders than to nonleaders. We advance a motivational explanation building on the perspective of punishment and on system justification theory. We conducted two scenario experiments which supported our proposition. In study 1, wrongdoer leader status was negatively related to blame and the perceived seriousness of the wrongdoing. In study 2, controlling for the Big-Five personality factor and individual differences in moral evaluation (i.e., moral foundations), wrongdoer leader status was negatively related with desired severity of punishment, and fair punishments were perceived as more just for non-leaders than for leaders.
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Abstract : The human body is composed of a huge number of cells acting together in a concerted manner. The current understanding is that proteins perform most of the necessary activities in keeping a cell alive. The DNA, on the other hand, stores the information on how to produce the different proteins in the genome. Regulating gene transcription is the first important step that can thus affect the life of a cell, modify its functions and its responses to the environment. Regulation is a complex operation that involves specialized proteins, the transcription factors. Transcription factors (TFs) can bind to DNA and activate the processes leading to the expression of genes into new proteins. Errors in this process may lead to diseases. In particular, some transcription factors have been associated with a lethal pathological state, commonly known as cancer, associated with uncontrolled cellular proliferation, invasiveness of healthy tissues and abnormal responses to stimuli. Understanding cancer-related regulatory programs is a difficult task, often involving several TFs interacting together and influencing each other's activity. This Thesis presents new computational methodologies to study gene regulation. In addition we present applications of our methods to the understanding of cancer-related regulatory programs. The understanding of transcriptional regulation is a major challenge. We address this difficult question combining computational approaches with large collections of heterogeneous experimental data. In detail, we design signal processing tools to recover transcription factors binding sites on the DNA from genome-wide surveys like chromatin immunoprecipitation assays on tiling arrays (ChIP-chip). We then use the localization about the binding of TFs to explain expression levels of regulated genes. In this way we identify a regulatory synergy between two TFs, the oncogene C-MYC and SP1. C-MYC and SP1 bind preferentially at promoters and when SP1 binds next to C-NIYC on the DNA, the nearby gene is strongly expressed. The association between the two TFs at promoters is reflected by the binding sites conservation across mammals, by the permissive underlying chromatin states 'it represents an important control mechanism involved in cellular proliferation, thereby involved in cancer. Secondly, we identify the characteristics of TF estrogen receptor alpha (hERa) target genes and we study the influence of hERa in regulating transcription. hERa, upon hormone estrogen signaling, binds to DNA to regulate transcription of its targets in concert with its co-factors. To overcome the scarce experimental data about the binding sites of other TFs that may interact with hERa, we conduct in silico analysis of the sequences underlying the ChIP sites using the collection of position weight matrices (PWMs) of hERa partners, TFs FOXA1 and SP1. We combine ChIP-chip and ChIP-paired-end-diTags (ChIP-pet) data about hERa binding on DNA with the sequence information to explain gene expression levels in a large collection of cancer tissue samples and also on studies about the response of cells to estrogen. We confirm that hERa binding sites are distributed anywhere on the genome. However, we distinguish between binding sites near promoters and binding sites along the transcripts. The first group shows weak binding of hERa and high occurrence of SP1 motifs, in particular near estrogen responsive genes. The second group shows strong binding of hERa and significant correlation between the number of binding sites along a gene and the strength of gene induction in presence of estrogen. Some binding sites of the second group also show presence of FOXA1, but the role of this TF still needs to be investigated. Different mechanisms have been proposed to explain hERa-mediated induction of gene expression. Our work supports the model of hERa activating gene expression from distal binding sites by interacting with promoter bound TFs, like SP1. hERa has been associated with survival rates of breast cancer patients, though explanatory models are still incomplete: this result is important to better understand how hERa can control gene expression. Thirdly, we address the difficult question of regulatory network inference. We tackle this problem analyzing time-series of biological measurements such as quantification of mRNA levels or protein concentrations. Our approach uses the well-established penalized linear regression models where we impose sparseness on the connectivity of the regulatory network. We extend this method enforcing the coherence of the regulatory dependencies: a TF must coherently behave as an activator, or a repressor on all its targets. This requirement is implemented as constraints on the signs of the regressed coefficients in the penalized linear regression model. Our approach is better at reconstructing meaningful biological networks than previous methods based on penalized regression. The method is tested on the DREAM2 challenge of reconstructing a five-genes/TFs regulatory network obtaining the best performance in the "undirected signed excitatory" category. Thus, these bioinformatics methods, which are reliable, interpretable and fast enough to cover large biological dataset, have enabled us to better understand gene regulation in humans.
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The performance of different correlation functionals has been tested for alkali metals, Li to Cs, interacting with cluster models simulating different active sites of the Si(111) surface. In all cases, the ab initio Hartree-Fock density has been obtained and used as a starting point. The electronic correlation energy is then introduced as an a posteriori correction to the Hartree-Fock energy using different correlation functionals. By making use of the ionic nature of the interaction and of different dissociation limits we have been able to prove that all functionals tested introduce the right correlation energy, although to a different extent. Hence, correlation functionals appear as an effective and easy way to introduce electronic correlation in the ab initio Hartree-Fock description of the chemisorption bond in complex systems where conventional configuration interaction techniques cannot be used. However, the calculated energies may differ by some tens of eV. Therefore, these methods can be employed to get a qualitative idea of how important correlation effects are, but they have some limitations if accurate binding energies are to be obtained.
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The origin of magnetic coupling in KNiF3 and K2 NiF4 is studied by means of an ab initio cluster model approach. By a detailed study of the mapping between eigenstates of the exact nonrelativistic and spin model Hamiltonians it is possible to obtain the magnetic coupling constant J and to compare ab initio cluster-model values with those resulting from ab initio periodic Hartree-Fock calculations. This comparison shows that J is strongly determined by two-body interactions; this is a surprising and unexpected result. The importance of the ligands surrounding the basic metal-ligand-metal interacting unit is reexamined by using two different partitions and the constrained space orbital variation method of analysis. This decomposition enables us to show that this effect is basically environmental. Finally, dynamical electronic correlation effects have found to be critical in determining the final value of the magnetic coupling constant.
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We report the first example of a transition to long-range magnetic order in a purely dipolarly interacting molecular magnet. For the magnetic cluster compound Mn6O4Br4(Et2dbm)6, the anisotropy experienced by the total spin S=12 of each cluster is so small that spin-lattice relaxation remains fast down to the lowest temperatures, thus enabling dipolar order to occur within experimental times at Tc=0.16 K. In high magnetic fields, the relaxation rate becomes drastically reduced and the interplay between nuclear- and electron-spin lattice relaxation is revealed.
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The Xenopus laevis vitellogenin B1 promoter was assembled into nucleosomes in an oocyte extract. Subsequent RNA polymerase II-dependent transcription from these DNA templates fully reconstituted in chromatin in a HeLa nuclear extract was increased 50-fold compared with naked DNA. Remarkably, under specific conditions, production of a high level of transcripts occurred at very low DNA (1 ng/microliter) and HeLa nuclear protein (1.6 micrograms/microliters) concentrations. When partially reconstituted templates were used, transcription efficiency was intermediate between that of fully reconstituted and naked DNA. These results implicate chromatin in the process of the transcriptional activation observed. Depletion from the oocyte assembly extract of an NF-I-like factor which binds in the promoter region upstream of the TATA box (-114 to -101) or deletion from the promoter of the region interacting with this factor reduced the transcriptional efficiency of the assembled templates by a factor of 5, but transcription of these templates was still 10 times higher than that of naked DNA. Together, these results indicate that the NF-I-like factor participates in the very efficient transcriptional potentiation of the vitellogenin B1 promoter which occurs during nucleosome assembly.
Yellow submarine of the Wnt/Frizzled signaling: submerging from the G protein harbor to the targets.
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The Wnt/Frizzled signaling pathway plays multiple functions in animal development and, when deregulated, in human disease. The G-protein coupled receptor (GPCR) Frizzled and its cognate heterotrimeric Gi/o proteins initiate the intracellular signaling cascades resulting in cell fate determination and polarization. In this review, we summarize the knowledge on the ligand recognition, biochemistry, modifications and interacting partners of the Frizzled proteins viewed as GPCRs. We also discuss the effectors of the heterotrimeric Go protein in Frizzled signaling. One group of these effectors is represented by small GTPases of the Rab family, which amplify the initial Wnt/Frizzled signal. Another effector is the negative regulator of Wnt signaling Axin, which becomes deactivated in response to Go action. The discovery of the GPCR properties of Frizzled receptors not only provides mechanistic understanding to their signaling pathways, but also paves new avenues for the drug discovery efforts.
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AbstractPlants are sessile organisms, which have evolved an astonishing ability to sense changes in their environment. Depending on the surrounding conditions, such as changes in light and temperature, plants modulate the activity of important transcriptional regulators. The shade avoidance syndrome (SAS) is one important mechanism for shade-intolerant plants to adapt their growth in high vegetative density. In shaded conditions plants sense a diminished red/far-red ratio via the phytochrome system and respond with morphological changes such as elongation growth of stems and petioles. The Phytochrome Interacting Factors 4 and 5 (PIF4 and PIF5) are positive regulators of the SAS and required for a full response (Lorrain et al, 2008). They regulate the SAS by inducing the expression of shade avoidance marker genes such as PIL1, ATHB2, XTR7 and HFR1 (Hornitschek et al, 2009; Lorrain et al, 2008).I investigated the molecular mechanism underlying the regulation of the SAS by HFR1 (long Hypocotyl in FR light). Although HFR1 is a PIF-related bHLH transcription factor, we discovered that HFR1 is a non-DNA binding protein. Moreover, we revealed that HFR1 inhibits an exaggerated SAS by forming non-DNA binding heterodimers with PIF4 and PIF5 (Hornitschek et al, 2009). This negative feedback loop is an important mechanism to limit elongation growth also in elevated temperatures. HFR1 accumulation and activity are highly temperature-dependent and the increased activity of HFR1 at warmer temperatures also provides an important restraint on PIF4-driven elongation growth (Foreman et al, 2011).Finally we performed a genome-wide analysis to determine how PIF4 and PIF5 regulate growth in response to shade. We identified potential PIF5- target genes, which represent many well-known shade-responsive genes. Our analysis of gene expression also revealed a role of PIF4 and PIF5 in simulated sun possibly via the regulation of auxin sensitivity.RésuméLes plantes sont des organismes sessiles ayant développé une capacité surprenante à détecter des changements dans leur environnement. En fonction des conditions extérieures, telles que les variations de lumière ou de température, elles adaptent l'activité d'importants régulateurs transcriptionnels. Le syndrome d'évitement de l'ombre (SAS), est un mécanisme important pour les plantes intolérantes à l'ombre leur permettant d'adapter leur croissance lorsqu'elles se développent dans des conditions de végétations très denses. Dans ces conditions, les plantes détectent une réduction de la quantité relative de lumière rouge par rapport à la lumière rouge-lointain (rapport R/FR). Ce changement, perçu via le système des phytochromes, induit des modifications morphologiques telle qu'une élongation des tiges et des pétioles. Les protéines PIF4 et PIF5 (Phytochrome Interacting Factors) sont des régulateurs positifs du SAS et sont nécessaires pour une réponse complète (Lorrain et al, 2008). Ces facteurs de transcription régulent le SAS en induisant l'expression de gènes marqueurs de cette réponse tels que PIL1, ATHB2, XTR7 et HFR1 (Hornitschek et al, 2009; Lorrain et al, 2008).J'ai étudié les mécanismes moléculaires sous-jacents à la régulation du SAS par HFR1 (long Hypocotyl in FR light). HFR1 est un facteur de transcription type bHLH de la famille des PIF, quoique nous ayons découvert que HFR1 est une protéine ne se liant pas à Γ ADN. Nous avons montré que HFR1 inhibe un SAS exagéré en formant des heterodimères avec PIF4 et PIF5 (Hornitschek et al, 2009). Nous avons également montré que cette boucle de régulation négative est également un mécanisme important pour limiter la croissance de l'élongation dans des conditions de fortes températures. De plus l'accumulation et l'activité de HFR1 augmentent avec la température ce qui permet d'inhiber plus fortement l'effet activateur de PIF4 sur la croissance.Enfin, nous avons effectué une analyse génomique à large échelle afin de déterminer comment PIF4 et PIF5 régulent la croissance en réponse à l'ombre. Nous avons identifié les gènes cibles potentiels de PIF5, correspondant en partie à des gènes connus dans la réponse de l'évitement de l'ombre. Notre analyse de l'expression des gènes a également révélé un rôle important de PIF4 et PIF5 dans des conditions de croissance en plein soleil, probablement via la régulation de la sensibilité à l'auxine.
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RESUME La dissémination extramédullaire des cellules blastiques est une complication majeure des leucémies myéloïdes (LMA) ou lymphoïdes aiguës (LLA). La migration des cellules blastiques dépend de mécanismes semblables à ceux qui régulent la migration des leucocytes dans un site d'inflammation. Parmi ceux-ci, les oligosaccharides fucosylés décorant les ligands des sélectines jouent un rôle clé en interagissant avec les sélectines. PSGL-1 (P-Selectin Glycoprotein Ligand-1) est une protéine de 240 kD, exprimée à la surface des leucocytes, permettant de soutenir le roulement leucocytaire sur les sélectines, le long de la paroi vasculaire. L'interaction de PSGL-1 avec les sélectines nécessite des modifications post-traductionnelles de type sialylation, sulfatation , N et 0-glycosylation. Parmi les enzymes impliqués, les α1,3-fucosyltransférases jouent un rôle important dans la biosynthèse d'oligosaccharides fucosylés, ligands des sélectines (sLex, Lex, VIM-2, CLA). Comme l'expression des α1,3-fucosyltransférases par les cellules blastiques leucémiques n'a pas été étudiée précédemment, nous l'avons recherchée dans 120 cas de leucémies aiguës. Les ARNm des FucT-IV et -VII ont été détectés, par RT-PCR, dans tous les cas testés. L'ARNm de la FucT-IX n'a été observé que dans 40% des leucémies aiguës (48/120). L'ARNm de la FucT-IX est détecté dans 65% des LMA (47/72) et, moins fréquemment, dans 26% des LLA (11/42). A noter que les cas de LLA exprimant la FucT-IX correspondent essentiellement à des LLA secondaires à la transformation d'une leucémie myéloïde chronique ou des LLA de la lignée B de type leucémie/lymphome de Burkitt. L'expression de PSGL-1 et des oligosaccharides fucosylés par les blastes varie significativement parmi les LMA et les LLA : Lex, VIM-2 et sLex étant exprimés plus fréquemment par les myéloblastes que par les lymphoblastes. Le rôle des FucT-IV, -VII et -IX dans la synthèse des Lex, VIM-2, CLA et sLex a été examiné en exprimant l'ADNc de chaque FucT dans des cellules CHO. L'immunophénotypisation des transfectants indique que la FucT-VII synthétise sLex et CLA, mais pas Lex et VIM-2. Lex et VIM-2 sont générés par la FucT-IV. La FucT-IX ne participe qu'à la synthèse de Lex, sa capacité de synthèse de VIM-2 dans les cellules CHO est très faible. Le rôle de la FucT-IX dans la régulation du roulement cellulaire dépendant des sélectines a été testé dans des conditions de flux. Les vitesses de roulement des cellules CHO co-exprimant la FucT-LX, la core-2 01,6-N-acetylglucosaminyltransferase et PSGL-1 sont très élevées sur la P-sélectine (médiane : 497.95 µm/s, n=96) alors qu'elles sont beaucoup plus lentes sur la E-sélectine (médiane 7 µm/s, n=64). Les recrutements sur la E-sélectine des cellules CHO-C2F9PSGL¬1 et des CHO-C2F7PSGL-1 sont similaires (moyenne ± SEM : 127.44 ± 4.38 vs. 151.16 ± 3.16 cellules/min/mm2, n=5). Celui des cellules CHO-C2F4PSGL-1 est par contre plus faible (54.20 ± 2.13 cellules/min/mm2, n=5). Ces résultats indiquent que la FucT-IX est impliquée dans la biosynthèse de Lex, VIM-2 et CLA et qu'elle régule l'interaction des cellules CHO avec la E-sélectine. Contrairement aux FucT-IV et -VII, la FucT-IX ne joue qu'un rôle mineur dans la régulation du roulement cellulaire sur la L- et la P-sélectine. L'expression fréquente de la FucT-IX par les myéloblastes suggère qu'elle pourrait participer avec les FucT-IV et -VII à la régulation de la migration cellulaire dépendant de la E-sélectine. Finalement, ce travail de thèse a été étendu à l'identification des protéines cytoplasmiques qui interagissent avec le domaine cytoplasmique de PSGL-1 et qui pourraient être impliquées dans la transmission de signaux intracellulaires. Les ligands intracellulaires de PSGL-1 seront identifiés par la technique du double hybride qui nous a déjà permis de confirmer que syk et la N-moésine se lient au domaine cytoplasmique de PSGL-1. Des ligands supplémentaires seront identifiés employant une librairie provenant des cellules souches hématopoïétiques comme proie. ABSTRACT Blast cell dissemination is a major complication of acute myeloblastic (AML) and lymphoblastic leukemia (ALL). Blast cell migration is dependent on mechanisms that are similar to those which regulate leukocyte migration into inflammatory lesions. Among them, fticosylated oligosaccharides that decorate selectin ligands play a key role by interacting with selectins. PSGL-1 (P-Selectin Glycoprotein Ligand-1) is a 240 kD glycoprotein constitutively expressed on leucocytes and which supports leukocyte rolling on selectins. PSGL-1 interaction with selectins is dependent on post-translational modifications such as sialylation, sulfation, N- and 0-glycosylation. Among the involved enzymes, the α1,3-fucosyltransferases (FucT) play a major role in generating cell surface glycoconjugates carrying fucosylated oligosaccharides which interact with selectins (sLex, Lex, VIM-2, CLA). Since no information is available on the expression of α1,3-fucosyltransferases by leukemic blast cells, we examined it in 120 cases of acute leukemia. FucT-IV and -VII mRNAs were detected, by RT-PCR, in all tested cases. In contrast, the presence of FucT-IX mRNA was shown in only 40% of patients with acute leukemia (48/120). FucT-IX mRNA was detected in 65% of AML (47/72) and, less frequently, in 26% of ALL (11/42). Importantly, all ALL cases expressing FucT-IX were either secondary leukemia resulting from the transformation of chronic myelocytic leukemia in acute lymphoblastic leukemia or mature B-ALL (FAB L3 subtype or Burkitt lymphoma/leukemia according to WHO classification). FucT-IX was not detected in precursor B or T-ALL. The expression of PSGL-1 and fucosylated epitopes was significantly different among AML and ALL, Lex, VIM-2 and sLex being more frequently expressed by myeloblasts than by lymphoblasts. The role of FucT-IV, -VII and -IX in the biosynthesis of Lex, VIM-2, CLA and sLex was examined by expressing the cDNA of each α1,3-FucT in CHO cells. Immunophenotypic analysis of CHO transfectants indicated that FucT-VII synthesizes sLex and CLA but not Lex or VIM-2. Lex and CLA were generated by both FucT-IV and -IX. FucT-IV and FucT-IX differed in their ability to synthesize VIM-2, FucT-IX being less efficient than FucT-IV. The role of FucT-IX in regulating selectin-dependent rolling was assessed under hydrodynamic flow conditions. P-selectin-dependent interactions were transient and occurred at high velocities (median: 497.95 1,µm/s, n=96). In contrast, much slower rolling velocities were observed on E-selectin (median: 7 µm/s, n=64). The recruitment of CHO-C2F9PSGL-1 and CHO-C2F7PSGL-1 cells was similar on E-selectin (mean ± SEM: 127.44 ± 4.38, n=5 vs 151.16 ± 3.16 cells/min/mm2, n=5). In the other hand, CHO-C2F4PSGL-1 cells were less efficiently recruited on E-selectin (54.20 ± 2.13 cells/min/mm2, n=5). This results indicate that FucT-IX is involved in the biosynthesis of Lex, VIM-2 and CLA and that it confers E-selectin binding activity to CHO cells. By contrast to FucT-IV and -VII, FucT-IX had a minor role in regulating P- and L-selectin-dependent rolling on CHO transfectants. The frequent expression of FucT-IX in myeloblasts suggests that it may participate with FucT-IV and -VII in regulating E-selectin-dependent cell migration into tissues. Finally, this thesis work was extended to the identification of the cytoplasmic proteins interacting with cytoplasmic domain of PSGL-1 that may be involved in transducing intracellular signals. We planned to identify these intracellular ligands of PSGL-1 by using the double hybrid technique and already confirmed that syk and N-moesin bind to the cytoplasmic domain of PSGL-1. Additional PSGL-1 ligands will be sought by the same technique using a CD34+ stem cell library as pray. RESUME DESTINE A UN LARGE PUBLIC : L'adhésion et la migration leucocytaire sont nécessaires à de nombreux processus cellulaires comme la régulation de l'hématopoïèse, mais aussi dans la pathogenèse de l'artériosclérose, des maladies inflammatoires et de la métastatisation des cellules cancéreuses. Les molécules impliquées constituent depuis peu des cibles pour la thérapie du cancer. La migration leucocytaire vers un site d'inflammation dépend de mécanismes complexes, se déroulant en plusieurs étapes, nécessitant l'interaction séquentielle de molécules d'adhésion leucocytaires et endothéliales. Ainsi, chronologiquement, suite à un stimulus inflammatoire, les leucocytes « roulent » sur les cellules endothéliales, sont activées, s'arrêtent et traversent la paroi endothéliale (diapédèse) pour migrer dans les tissus environnants inflammés selon un gradient chimiotactique. La première étape de roulement met en jeu deux molécules principales : PSGL-1 (P-Sélectine Glycoprotéine Ligand-1) du coté des leucocytes et les sélectines du coté de l'endothélium de la paroi vasculaire. L'interaction entre ces deux molécules nécessite des décorations de ces protéines par des sucres, des résidus sulfates et des acides sialiques. Le sucre essentiel à la liaison demeure le fucose qui est attaché aux protéines grâce à des enzymes de la famille des fucosyltransferases. Actuellement, neuf fucosyltransférases humaines ont été identifiées et désignées sous FucT-I à IX. La FucT-IX, dernière fucosyltransférase clonée, a un faible degré d'homologie avec les autres fucosyltransférases mais sa séquence est extrêmement conservée entre les espèces. Ceci traduit son importance par une forte résistance à la pression évolutive. L'examen de son expression au sein de 120 cas de leucémies aiguës a mis en évidence son comportement atypique. En effet, alors que les autres FucTs sont toujours présentes, la FucT¬IX ne s'exprime que dans un cas sur deux en moyenne avec une préférence plus importante pour les leucémies myéloïdes. Ainsi, une étude plus approfondie de cet enzyme à mis en évidence sa capacité à induire une interaction cellulaire plus spécifique de la E-sélectine. Elle décore non seulement des protéines de surface, mais aussi certainement les glycolipides constituant la membrane cellulaire.