879 resultados para Tubulin Modulators
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The degradation of proteins by the ubiquitin proteasome system is essential for cellular homeostasis in the heart. An important regulator of metabolic homeostasis is AMP-activated protein kinase (AMPK). During nutrient deprivation, AMPK is activated and intracellular proteolysis is enhanced through the ubiquitin proteasome system (UPS). Whether AMPK plays a role in protein degradation through the UPS in the heart is not known. Here I present data in support of the hypothesis that AMPK transcriptionally regulates key players in the UPS, which, under extreme conditions can be detrimental to the heart. The ubiquitin ligases MAFbx /Atrogin-1 and MuRF1, key regulators of protein degradation, and AMPK activity are increased during nutrient deprivation. Pharmacologic and genetic activation of AMPK is sufficient for the induction of MAFbx/Atrogin-1 and MuRF1 in cardiomyocytes and in the heart in vivo. Comprehensive experiments demonstrate that the molecular mechanism by which AMPK regulates MuRF1 expression is through the transcription factor myocyte enhancer factor 2 (MEF2), which is involved in stress response and cardiomyocyte remodeling. MuRF1 is required for AMPK-mediated protein degradation through the UPS in cardiomyocytes. Consequently, the absence of MuRF1 during chronic fasting preserves cardiac function, possibly by limiting degradation of critical metabolic enzymes. Furthermore, during cardiac hypertrophy, chronic activation of AMPK also leads to cardiac dysfunction, possibly through enhanced protein degradation and metabolic dysregulation. Collectively, my findings demonstrate that AMPK regulates expression of ubiquitin ligases which are required for UPS-mediated protein degradation in the heart. Based on these results, I propose that specific metabolic signals may serve as modulators of intracellular protein degradation in the heart.
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Ras proteins serve as crucial signaling modulators in cell proliferation through their ability to hydrolyze GTP and exist in a GTP “on” state and GTP “off” state. There are three different human Ras isoforms: H-ras, N-ras and K-ras (4A and 4B). Although their sequence identity is very high at the catalytic domain, these isoforms differ in their ability to activate different effectors and hence different signaling pathways. Much of the previous work on this topic has attributed this difference to the hyper variable region of Ras proteins, which contains most of the sequence variance among the isoforms and encodes specificity for differential distribution in the membrane. However, we hypothesize that sequence variation on lobe II of Ras catalytic domain alters dynamics and leads to differential preference for different effectors or modulators. In this work, we used all atom molecular dynamics to analyze the dynamics in the catalytic domain of H-ras and K-ras. We have also analyzed the dynamics of a transforming mutant of H-ras and K-ras and further studied the dynamics of an effectorselective mutant of H-ras. Collectively we have determined that wild type K-ras is more dynamic than H-ras and that the structure of the effector binding loop more closely resembles that of the T35S Raf-selective mutant, possibly giving us a new view and insight into the v mode of effector specificity. Furthermore we have determined that specific mutations at the same location perturb the conformational equilibrium differently in H-ras and K-ras and that an enhanced oncogenic potential may arise from different structural perturbations for each point mutation of a specific isoform.
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Autophagy is an evolutionarily conserved process that functions to maintain homeostasis and provides energy during nutrient deprivation and environmental stresses for the survival of cells by delivering cytoplasmic contents to the lysosomes for recycling and energy generation. Dysregulation of this process has been linked to human diseases including immune disorders, neurodegenerative muscular diseases and cancer. Autophagy is a double edged sword in that it has both pro-survival and pro-death roles in cancer cells. Its cancer suppressive roles include the clearance of damaged organelles, which could otherwise lead to inflammation and therefore promote tumorigenesis. In its pro-survival role, autophagy allows cancer cells to overcome cytotoxic stresses generated the cancer environment or cancer treatments such as chemotherapy and evade cell death. A better understanding of how drugs that perturb autophagy affect cancer cell signaling is of critical importance toimprove the cancer treatment arsenal. In order to gain insights in the relationship between autophagy and drug treatments, we conducted a high-throughput drug screen to identify autophagy modulators. Our high-throughput screen utilized image based fluorescent microscopy for single cell analysis to identify chemical perturbants of the autophagic process. Phenothiazines emerged as the largest family of drugs that alter the autophagic process by increasing LC3-II punctae levels in different cancer cell lines. In addition, we observed multiple biological effects in cancer cells treated with phenothiazines. Those antitumorigenic effects include decreased cell migration, cell viability, and ATP production along with abortive autophagy. Our studies highlight the potential role of phenothiazines as agents for combinational therapy with other chemotherapeutic agents in the treatment of different cancers.
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El núcleo septal lateral forma parte de estructuras subcorticales del cerebro. La destrucción de dicho núcleo genera lo que se conoce como síndrome de furia septal. En este trabajo demostramos que el agonista GABAérgico muscimol, en dosis no sedativas, indujo una “inhibición del miedo" en ratas macho de la cepa Sprague- Dawley, asociada a un aumento de respuestas agresivas a objetos habitualmente neutros. Estos resultados, sumados al hecho de que el núcleo septal lateral participa en diversas entidades psiquiátricas, hace que sea interesante aportar al conocimiento de su función apelando a moduladores que se sabe están presentes en el en dicha estructura del sistema nervioso central.
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Few studies exist reporting on long-term exposure of crustaceans to hypercapnia. We exposed juvenile South African rock lobsters, Jasus lalandii, to hypercapnic conditions of pH 7.3 for 28 weeks and subsequently analysed changes in the extracellular fluid (haemolymph). Results revealed, for the first time, adjustments in the haemolymph of a palinurid crustacean during chronic hypercapnic exposure: 1) acid-base balance was adjusted and sustained by increased bicarbonate and 2) quantity and oxygen binding properties of haemocyanin changed. Compared with lobsters kept under normocapnic conditions (pH 8.0), during prolonged hypercapnia, juvenile lobsters increased bicarbonate buffering of haemolymph. This is necessary to provide optimum pH conditions for oxygen binding of haemocyanin and functioning of respiration in the presence of a strong Bohr Effect. Furthermore, modification of the intrinsic structure of the haemocyanin molecule, and not the presence of molecular modulators, seems to improve oxygen affinity under conditions of elevated pCO2.
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El impacto negativo que tienen los virus en las plantas hace que estos puedan ejercer un papel ecológico como moduladores de la dinámica espacio-temporal de las poblaciones de sus huéspedes. Entender cuáles son los mecanismos genéticos y los factores ambientales que determinan tanto la epidemiología como la estructura genética de las poblaciones de virus puede resultar de gran ayuda para la comprensión del papel ecológico de las infecciones virales. Sin embargo, existen pocos trabajos experimentales que hayan abordado esta cuestión. En esta tesis, se analiza el efecto de la heterogeneidad del paisaje sobre la incidencia de los virus y la estructura genética de sus poblaciones. Asimismo, se explora como dichos factores ambientales influyen en la importancia relativa que los principales mecanismos de generación de variabilidad genética (mutación, recombinación y migración) tienen en la evolución de los virus. Para ello se ha usado como sistema los begomovirus que infectan poblaciones de chiltepín (Capsicum annuum var. aviculare (Dierbach) D´Arcy & Eshbaugh) en México. Se analizó la incidencia de diferentes virus en poblaciones de chiltepín distribuidas a lo largo de seis provincias biogeográficas, representando el área de distribución de la especie en México, y localizadas en hábitats con diferente grado de intervención humana: poblaciones sin intervención humana (silvestres); poblaciones toleradas (lindes y pastizales), y poblaciones manejadas por el hombre (monocultivos y huertos familiares). Entre los virus analizados, los begomovirus mostraron la mayor incidencia, detectándose en todas las poblaciones y años de muestreo. Las únicas dos especies de begomovirus que se encontraron infectando al chiltepín fueron: el virus del mosaico dorado del chile (Pepper golden mosaic virus, PepGMV) y el virus huasteco del amarilleo de venas del chile (Pepper huasteco yellow vein virus, PHYVV). Por ello, todos los análisis realizados en esta tesis se centran en estas dos especies de virus. La incidencia de PepGMV y PHYVV, tanto en infecciones simples como mixtas, aumento cuanto mayor fue el nivel de intervención humana en las poblaciones de chiltepín, lo que a su vez se asoció con una menor biodiversidad y una mayor densidad de plantas. Además, la incidencia de infecciones mixtas, altamente relacionada con la presencia de síntomas, fue también mayor en las poblaciones cultivadas. La incidencia de estos dos virus también varió en función de la población de chiltepín y de la provincia biogeográfica. Por tanto, estos resultados apoyan una de las hipótesis XVI clásicas de la Patología Vegetal según la cual la simplificación de los ecosistemas naturales debida a la intervención humana conduce a un mayor riesgo de enfermedad de las plantas, e ilustran sobre la importancia de la heterogeneidad del paisaje a diferentes escalas en la determinación de patrones epidemiológicos. La heterogeneidad del paisaje no solo afectó a la epidemiología de PepGMV y PHYVV, sino también a la estructura genética de sus poblaciones. En ambos virus, el nivel de diferenciación genética mayor fue la población, probablemente asociado a la capacidad de migración de su vector Bemisia tabaci; y en segundo lugar la provincia biogeográfica, lo que podría estar relacionado con el papel del ser humano como agente dispersor de PepGMV y PHYVV. La estima de las tasas de sustitución nucleotídica de las poblaciones de PepGMV y PHYVV mostró una rápida dinámica evolutiva. Los árboles filogenéticos de ambos virus presentaron una topología en estrella, lo que sugiere una expansión reciente en las poblaciones de chiltepín. La reconstrucción de los patrones de migración de ambos virus indicó que ésta expansión parece haberse producido desde la zona central de México siguiendo un patrón radial, y en los últimos 30 años. Es importante tener en cuenta que el patrón espacial de la diversidad genética de las poblaciones de PepGMV y PHYVV es similar al descrito previamente para el chiltepín lo que podría dar lugar a la congruencia de las genealogías del huésped y la de los virus. Dicha congruencia se encontró cuando se tuvieron en cuenta únicamente las poblaciones de hábitats silvestres y tolerados, lo que probablemente se debe a una codivergencia en el espacio pero no en el tiempo, dado que la evolución de virus y huésped han ocurrido a escalas temporales muy diferentes. Finalmente, el análisis de la frecuencia de recombinación en PepGMV y PHYVV indicó que esta juega un papel importante en la evolución de ambos virus, dependiendo su importancia del nivel de intervención humana de la población de chiltepín. Este factor afectó también a la intensidad de la selección a la que se ven sometidos los genomas de PepGMV y PHYVV. Los resultados de esta tesis ponen de manifiesto la importancia que la reducción de la biodiversidad asociada al nivel de intervención humana de las poblaciones de plantas y la heterogeneidad del paisaje tiene en la emergencia de nuevas enfermedades virales. Por tanto, es necesario considerar estos factores ambientales a la hora de comprender la epidemiologia y la evolución de los virus de plantas.XVII SUMMARY Plant viruses play a key role as modulators of the spatio-temporal dynamics of their host populations, due to their negative impact in plant fitness. Knowledge on the genetic and environmental factors that determine the epidemiology and the genetic structure of virus populations may help to understand the ecological role of viral infections. However, few experimental works have addressed this issue. This thesis analyses the effect of landscape heterogeneity in the prevalence of viruses and the genetic structure of their populations. Also, how these environmental factors influence the relative importance of the main mechanisms for generating genetic variability (mutation, recombination and migration) during virus evolution is explored. To do so, the begomoviruses infecting chiltepin (Capsicum annuum var. aviculare (Dierbach) D'Arcy & Eshbaugh) populations in Mexico were used. Incidence of different viruses in chiltepin populations of six biogeographical provinces representing the species distribution in Mexico was determined. Populations belonged to different habitats according to the level of human management: populations with no human intervention (Wild); populations naturally dispersed and tolerated in managed habitats (let-standing), and human managed populations (cultivated). Among the analyzed viruses, the begomoviruses showed the highest prevalence, being detected in all populations and sampling years. Only two begomovirus species infected chiltepin: Pepper golden mosaic virus, PepGMV and Pepper huasteco yellow vein virus, PHYVV. Therefore, all the analyses presented in this thesis are focused in these two viruses. The prevalence of PepGMV and PHYVV, in single and mixed infections, increased with higher levels of human management of the host population, which was associated with decreased biodiversity and increased plant density. Furthermore, cultivated populations showed higher prevalence of mixed infections and symptomatic plants. The prevalence of the two viruses also varied depending on the chiltepin population and on the biogeographical province. Therefore, these results support a classical hypothesis of Plant Pathology stating that simplification of natural ecosystems due to human management leads to an increased disease risk, and illustrate on the importance of landscape heterogeneity in determining epidemiological patterns. Landscape heterogeneity not only affected the epidemiology of PepGMV and PHYVV, but also the genetic structure of their populations. Both viruses had the highest level of genetic differentiation at the population scale, probably associated with the XVIII migration patterns of its vector Bemisia tabaci, and a second level at the biogeographical province scale, which could be related to the role of humans as dispersal agents of PepGMV and PHYVV. The estimates of nucleotide substitution rates of the virus populations indicated rapid evolutionary dynamics. Accordingly, phylogenetic trees of both viruses showed a star topology, suggesting a recent diversification in the chiltepin populations. Reconstruction of PepGMV and PHYVV migration patterns indicated that they expanded from central Mexico following a radial pattern during the last 30 years. Importantly, the spatial genetic structures of the virus populations were similar to that described previously for the chiltepin, which may result in the congruence of the host and virus genealogies. Such congruence was found only in wild and let-standing populations. This is probably due to a co-divergence in space but not in time, given the different evolutionary time scales of the host and virus populations. Finally, the frequency of recombination detected in the PepGMV and PHYVV populations indicated that this mechanism plays an important role in the evolution of both viruses at the intra-specific scale. The level of human management had a minor effect on the frequency of recombination, but influenced the strength of negative selective pressures in the viral genomes. The results of this thesis highlight the importance of decreased biodiversity in plant populations associated with the level of human management and of landscape heterogeneity on the emergence of new viral diseases. Therefore it is necessary to consider these environmental factors in order to fully understand the epidemiology and evolution of plant viruses.
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Situado en el límite entre Ingeniería, Informática y Biología, la mecánica computacional de las neuronas aparece como un nuevo campo interdisciplinar que potencialmente puede ser capaz de abordar problemas clínicos desde una perspectiva diferente. Este campo es multiescala por naturaleza, yendo desde la nanoescala (como, por ejemplo, los dímeros de tubulina) a la macroescala (como, por ejemplo, el tejido cerebral), y tiene como objetivo abordar problemas que son complejos, y algunas veces imposibles, de estudiar con medios experimentales. La modelización computacional ha sido ampliamente empleada en aplicaciones Neurocientíficas tan diversas como el crecimiento neuronal o la propagación de los potenciales de acción compuestos. Sin embargo, en la mayoría de los enfoques de modelización hechos hasta ahora, la interacción entre la célula y el medio/estímulo que la rodea ha sido muy poco explorada. A pesar de la tremenda importancia de esa relación en algunos desafíos médicos—como, por ejemplo, lesiones traumáticas en el cerebro, cáncer, la enfermedad del Alzheimer—un puente que relacione las propiedades electrofisiológicas-químicas y mecánicas desde la escala molecular al nivel celular todavía no existe. Con ese objetivo, esta investigación propone un marco computacional multiescala particularizado para dos escenarios respresentativos: el crecimiento del axón y el acomplamiento electrofisiológicomecánico de las neuritas. En el primer caso, se explora la relación entre los constituyentes moleculares del axón durante su crecimiento y sus propiedades mecánicas resultantes, mientras que en el último, un estímulo mecánico provoca deficiencias funcionales a nivel celular como consecuencia de sus alteraciones electrofisiológicas-químicas. La modelización computacional empleada en este trabajo es el método de las diferencias finitas, y es implementada en un nuevo programa llamado Neurite. Aunque el método de los elementos finitos es también explorado en parte de esta investigación, el método de las diferencias finitas tiene la flexibilidad y versatilidad necesaria para implementar mode los biológicos, así como la simplicidad matemática para extenderlos a simulaciones a gran escala con un coste computacional bajo. Centrándose primero en el efecto de las propiedades electrofisiológicas-químicas sobre las propiedades mecánicas, una versión adaptada de Neurite es desarrollada para simular la polimerización de los microtúbulos en el crecimiento del axón y proporcionar las propiedades mecánicas como función de la ocupación de los microtúbulos. Después de calibrar el modelo de crecimiento del axón frente a resultados experimentales disponibles en la literatura, las características mecánicas pueden ser evaluadas durante la simulación. Las propiedades mecánicas del axón muestran variaciones dramáticas en la punta de éste, donde el cono de crecimiento soporta las señales químicas y mecánicas. Bansándose en el conocimiento ganado con el modelo de diferencias finitas, y con el objetivo de ir de 1D a 3D, este esquema preliminar pero de una naturaleza innovadora allana el camino a futuros estudios con el método de los elementos finitos. Centrándose finalmente en el efecto de las propiedades mecánicas sobre las propiedades electrofisiológicas- químicas, Neurite es empleado para relacionar las cargas mecánicas macroscópicas con las deformaciones y velocidades de deformación a escala microscópica, y simular la propagación de la señal eléctrica en las neuritas bajo carga mecánica. Las simulaciones fueron calibradas con resultados experimentales publicados en la literatura, proporcionando, por tanto, un modelo capaz de predecir las alteraciones de las funciones electrofisiológicas neuronales bajo cargas externas dañinas, y uniendo lesiones mecánicas con las correspondientes deficiencias funcionales. Para abordar simulaciones a gran escala, aunque otras arquitecturas avanzadas basadas en muchos núcleos integrados (MICs) fueron consideradas, los solvers explícito e implícito se implementaron en unidades de procesamiento central (CPU) y unidades de procesamiento gráfico (GPUs). Estudios de escalabilidad fueron llevados acabo para ambas implementaciones mostrando resultados prometedores para casos de simulaciones extremadamente grandes con GPUs. Esta tesis abre la vía para futuros modelos mecánicos con el objetivo de unir las propiedades electrofisiológicas-químicas con las propiedades mecánicas. El objetivo general es mejorar el conocimiento de las comunidades médicas y de bioingeniería sobre la mecánica de las neuronas y las deficiencias funcionales que aparecen de los daños producidos por traumatismos mecánicos, como lesiones traumáticas en el cerebro, o enfermedades neurodegenerativas como la enfermedad del Alzheimer. ABSTRACT Sitting at the interface between Engineering, Computer Science and Biology, Computational Neuron Mechanics appears as a new interdisciplinary field potentially able to tackle clinical problems from a new perspective. This field is multiscale by nature, ranging from the nanoscale (e.g., tubulin dimers) to the macroscale (e.g., brain tissue), and aims at tackling problems that are complex, and sometime impossible, to study through experimental means. Computational modeling has been widely used in different Neuroscience applications as diverse as neuronal growth or compound action potential propagation. However, in the majority of the modeling approaches done in this field to date, the interactions between the cell and its surrounding media/stimulus have been rarely explored. Despite of the tremendous importance of such relationship in several medical challenges—e.g., traumatic brain injury (TBI), cancer, Alzheimer’s disease (AD)—a bridge between electrophysiological-chemical and mechanical properties of neurons from the molecular scale to the cell level is still lacking. To this end, this research proposes a multiscale computational framework particularized for two representative scenarios: axon growth and electrophysiological-mechanical coupling of neurites. In the former case, the relation between the molecular constituents of the axon during its growth and its resulting mechanical properties is explored, whereas in the latter, a mechanical stimulus provokes functional deficits at cell level as a consequence of its electrophysiological-chemical alterations. The computational modeling approach chosen in this work is the finite difference method (FDM), and was implemented in a new program called Neurite. Although the finite element method (FEM) is also explored as part of this research, the FDM provides the necessary flexibility and versatility to implement biological models, as well as the mathematical simplicity to extend them to large scale simulations with a low computational cost. Focusing first on the effect of electrophysiological-chemical properties on the mechanical proper ties, an adaptation of Neurite was developed to simulate microtubule polymerization in axonal growth and provide the axon mechanical properties as a function of microtubule occupancy. After calibrating the axon growth model against experimental results available in the literature, the mechanical characteristics can be tracked during the simulation. The axon mechanical properties show dramatic variations at the tip of the axon, where the growth cone supports the chemical and mechanical signaling. Based on the knowledge gained from the FDM scheme, and in order to go from 1D to 3D, this preliminary yet novel scheme paves the road for future studies with FEM. Focusing then on the effect of mechanical properties on the electrophysiological-chemical properties, Neurite was used to relate macroscopic mechanical loading to microscopic strains and strain rates, and simulate the electrical signal propagation along neurites under mechanical loading. The simulations were calibrated against experimental results published in the literature, thus providing a model able to predict the alteration of neuronal electrophysiological function under external damaging load, and linking mechanical injuries to subsequent acute functional deficits. To undertake large scale simulations, although other state-of-the-art architectures based on many integrated cores (MICs) were considered, the explicit and implicit solvers were implemented for central processing units (CPUs) and graphics processing units (GPUs). Scalability studies were done for both implementations showing promising results for extremely large scale simulations with GPUs. This thesis opens the avenue for future mechanical modeling approaches aimed at linking electrophysiological- chemical properties to mechanical properties. Its overarching goal is to enhance the bioengineering and medical communities knowledge on neuronal mechanics and functional deficits arising from damages produced by direct mechanical insults, such as TBI, or neurodegenerative evolving illness, such as AD.
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Senescence-associated proteolysis in plants is a crucial process to relocalize nutrients from leaves to growing or storage tissues. The massive net degradation of proteins involves broad metabolic networks, different subcellular compartments, and several types of proteases and regulators. C1A cysteine proteases, grouped as cathepsin L-, B-, H-, and F-like according to their gene structures and phylogenetic relationships, are the most abundant enzymes responsible for the proteolytic activity during leaf senescence. Besides, cystatins as specific modulators of C1A peptidase activities exert a complex regulatory role in this physiological process. This overview article covers the most recent information on C1A proteases in leaf senescence in different plant species. Particularly, it is focussed on barley, as the unique species where the whole gene family members of C1A cysteine proteases and cystatins have been analysed.
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Transcription factors (TFs) are key regulators of gene expression in all organisms. In eukaryotes, TFs are often represented by functionally redundant members of large gene families. Overexpression might prove a means to unveil the biological functions of redundant TFs; however, constitutive overexpression of TFs frequently causes severe developmental defects, preventing their functional characterization. Conditional overexpression strategies help to overcome this problem. Here, we report on the TRANSPLANTA collection of Arabidopsis lines, each expressing one of 949 TFs under the control of a β–estradiol-inducible promoter. Thus far, 1636 independent homozygous lines, representing an average of 2.6 lines for every TF, have been produced for the inducible expression of 634 TFs. Along with a GUS-GFP reporter, randomly selected TRANSPLANTA lines were tested and confirmed for conditional transgene expression upon β–estradiol treatment. As a proof of concept for the exploitation of this resource, β–estradiol-induced proliferation of root hairs, dark-induced senescence, anthocyanin accumulation and dwarfism were observed in lines conditionally expressing full-length cDNAs encoding RHD6, WRKY22, MYB123/TT2 and MYB26, respectively, in agreement with previously reported phenotypes conferred by these TFs. Further screening performed with other TRANSPLANTA lines allowed the identification of TFs involved in different plant biological processes, illustrating that the collection is a powerful resource for the functional characterization of TFs. For instance, ANAC058 and a TINY/AP2 TF were identified as modulators of ABA-mediated germination potential, and RAP2.10/DEAR4 was identified as a regulator of cell death in the hypocotyl–root transition zone. Seeds of TRANSPLANTA lines have been deposited at the Nottingham Arabidopsis Stock Centre for further distribution.
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What are the limits and modulators of neural precision? We address this question in the most regular biological oscillator known, the electric organ command nucleus in the brainstem of wave-type gymnotiform fish. These fish produce an oscillating electric field, the electric organ discharge (EOD), used in electrolocation and communication. We show here that the EOD precision, measured by the coefficient of variation (CV = SD/mean period) is as low as 2 × 10−4 in five species representing three families that range widely in species and individual mean EOD frequencies (70–1,250 Hz). Intracellular recording in the pacemaker nucleus (Pn), which commands the EOD cycle by cycle, revealed that individual Pn neurons of the same species also display an extremely low CV (CV = 6 × 10−4, 0.8 μs SD). Although the EOD CV can remain at its minimum for hours, it varies with novel environmental conditions, during communication, and spontaneously. Spontaneous changes occur as abrupt steps (250 ms), oscillations (3–5 Hz), or slow ramps (10–30 s). Several findings suggest that these changes are under active control and depend on behavioral state: mean EOD frequency and CV can change independently; CV often decreases in response to behavioral stimuli; and lesions of one of the two inputs to the Pn had more influence on CV than lesions of the other input.
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It has been widely reported that the small GTP-binding protein Rap1 has an anti-Ras and anti-mitogenic activity. Thus, it is generally accepted that a normal physiological role of Rap1 proteins is to antagonize Ras mitogenic signals, presumably by forming nonproductive complexes with proteins that are typically effectors or modulators of Ras. Rap1 is activated by signals that raise intracellular levels of cAMP, a molecule that has long been known to exert both inhibitory and stimulatory effects on cell growth. We have now tested the intriguing hypothesis that Rap1 could have mitogenic effects in systems in which cAMP stimulates cell proliferation. The result of experiments addressing this possibility revealed that Rap1 has full oncogenic potential. Expression of Rap1 in these cells results in a decreased doubling time, an increased saturation density, and an unusual anchorage-dependent morphological transformation. Most significantly, however, Rap1-expressing cells formed tumors when injected into nude mice. Thus, we propose that the view that holds Rap1 as an antimitogenic protein should be restricted and conclude that Rap1 is a conditional oncoprotein.
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In Trypanosoma brucei, transcription by RNA polymerase II and 5′ capping of messenger RNA are uncoupled: a capped spliced leader is trans spliced to every RNA. This decoupling makes it possible to have protein-coding gene transcription driven by RNA polymerase I. Indeed, indirect evidence suggests that the genes for the major surface glycoproteins, variant surface glycoproteins (VSGs) in bloodstream-form trypanosomes, are transcribed by RNA polymerase I. In a single trypanosome, only one VSG expression site is maximally transcribed at any one time, and it has been speculated that transcription takes place at a unique site within the nucleus, perhaps in the nucleolus. We tested this by using fluorescence in situ hybridization. With probes that cover about 50 kb of the active 221 expression site, we detected nuclear transcripts of this site in a single fluorescent spot, which did not colocalize with the nucleolus. Analysis of marker gene-tagged active expression site DNA by fluorescent DNA in situ hybridization confirmed the absence of association with the nucleolus. Even an active expression site in which the promoter had been replaced by an rDNA promoter did not colocalize with the nulceolus. As expected, marker genes inserted in the rDNA array predominantly colocalize with the nucleolus, whereas the tubulin gene arrays do not. We conclude that transcription of the active VSG expression site does not take place in the nucleolus.
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We have determined the treadmilling rate of brain microtubules (MTs) free of MT-associated proteins (MAPs) at polymer mass steady state in vitro by using [3H]GTP-exchange. We developed buffer conditions that suppressed dynamic instability behavior by ≈10-fold to minimize the contribution of dynamic instability to total tubulin-GTP exchange. The MTs treadmilled rapidly under the suppressed dynamic instability conditions, at a minimum rate of 0.2 μm/min. Thus, rapid treadmilling is an intrinsic property of MAP-free MTs. Further, we show that tau, an axonal stabilizing MAP involved in Alzheimer’s disease, strongly suppresses the treadmilling rate. These results indicate that tau’s function in axons might involve suppression of axonal MT treadmilling. We describe mathematically how treadmilling and dynamic instability are mechanistically distinct MT behaviors. Finally, we present a model that explains how small changes in the critical tubulin subunit concentration at MT minus ends, caused by intrinsic differences in rate constants or regulatory proteins, could produce large changes in the treadmilling rate.
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In several cell types, an intriguing correlation exists between the position of the centrosome and the direction of cell movement: the centrosome is located behind the leading edge, suggesting that it serves as a steering device for directional movement. A logical extension of this suggestion is that a change in the direction of cell movement is preceded by a reorientation, or shift, of the centrosome in the intended direction of movement. We have used a fusion protein of green fluorescent protein (GFP) and γ-tubulin to label the centrosome in migrating amoebae of Dictyostelium discoideum, allowing us to determine the relationship of centrosome positioning and the direction of cell movement with high spatial and temporal resolution in living cells. We find that the extension of a new pseudopod in a migrating cell precedes centrosome repositioning. An average of 12 sec elapses between the initiation of pseudopod extension and reorientation of the centrosome. If no reorientation occurs within approximately 30 sec, the pseudopod is retracted. Thus the centrosome does not direct a cell’s migration. However, its repositioning stabilizes a chosen direction of movement, most probably by means of the microtubule system.
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The presenilin proteins PS-1 and PS-2 are crucially involved in Alzheimer disease (AD), but their molecular functions are not known. They are integral membrane proteins, but whether they can be expressed at the surface of cells has been in dispute. Here we show by immunofluorescence experiments, using anti-peptide antibodies specific for either PS-1 or PS-2, that live cultured DAMI cells and differentiated human NT2N neuronal cells are specifically immunolabeled for their endogenous as well as transfected presenilins, although the cells cannot be immunolabeled for their intracellular tubulin, unless they are first fixed and permeabilized. These and other results establish that portions of the presenilins are indeed expressed at the surfaces of these cells. These findings support our previous proposal that the presenilins on the surface of a cell engage in intercellular interactions with the β-amyloid precursor protein on the surface of a neighboring cell, as a critical step in the molecular and cellular mechanisms that lead to AD.