Maturação in vitro de oócitos ovinos com o uso da roscovitina e ciclohexemida

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Expressão e função de membrso das subfamílias FGF-8 e FGF-9 em folículos antrais bovinos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Ativação partenogenética de oócitos maturados in vitro de Cebus apella

O objetivo deste trabalho foi avaliar a maturação oocitária in vitro (MIV) na espécie C. apella, relacionando com a expansão das células do cumulus e promovendo a produção in vitro de embriões (PIVE), por meio da ativação partenogenética e fecundação in vitro (FIV). Os oócitos puncionados dos folículos antrais medindo 2-9 mm de diâmetro foram classificados em desnudos (OD), com poucas células do cumulus (PCC) e complexo cumulus-oophorus intacto (CCO intacto). A expansão das células do cumulus foi analisada nos tempos de 0, 36 e 40 h de MIV e classificada em cinco categorias de expansão. A competência meiótica nos oócitos foi verificada pela extrusão do 1º corpúsculo polar (CP) após 40 h de MIV. Os oócitos foram divididos em 3 grupos para PIVE: grupo controle (FIV), ativação partenogenética utilizando 5 μM de ionomicina em associação com 2 mM de 6-DMAP ou em associação com 50 μM de roscovitina. Para a FIV, os espermatozóides obtidos do coágulo seminal, foram diluídos em água de coco em pó (ACP-118®) e submetidos ao resfriamento para serem levados posteriormente ao cultivo in vitro com os oócitos. O aumento no tempo da MIV e a presença de várias células do cumulus associadas aos oócitos proporcionaram maior expansão das células do cumulus, pois somente os CCO intactos alcançaram a expansão total em 40 h de MIV (p < 0,005). A presença das células do cumulus nos oócitos (PCC e CCO intactos) maturados in vitro por 40 h promoveu a competência meiótica (metáfase II) significamente mais elevada que os OD (p < 0,005). Após 6 h de resfriamento em ACP-118® e separação pelo método do swin-up, os espermatozóides utilizados na FIV possuíam 80% de motilidade e vigor 4. O tratamento com ionomicina/roscovitina promoveu a extrusão do 2º CP e formação pronuclear e com ionomicina/6-DMAP formou pronúcleos, sem extrusão do 2º CP. O protocolo utilizando a ionomicina/6-DMAP e da FIV originou as primeiras divisões embrionárias, observada pela taxa de clivagem. Os resultados encontrados sugerem que em C. apella a presença e a expansão total das células do cumulus estão relacionadas com a competência oocitária. A utilização dos oócitos maturados in vitro e dos espermatozóides diluídos e resfriados em ACP-118® promoveu a PIVE por diferentes métodos nesta espécie.

Expressão gênica e potencial de desenvolvimento in vitro dos complexos cúmulos-oócitos ovinos tratados com roscovitina

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Meiotic arrest of sheep oocytes using roscovitine under different medium compositions

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The type I BMP receptor BmprIB is essential for female reproductive function

Maintenance of female reproductive competence depends on the actions of several hormones and signaling factors. Recent reports suggest roles for bone morphogenetic proteins (BMPs) in early stages of folliculogenesis. A role for the type I BMP receptor BmprIB as a regulator of ovulation rates in sheep has been described recently, but little is known about the roles of BMP signaling pathways in other aspects of reproductive function. We report here that BMPRIB is essential for multiple aspects of female fertility. Mice deficient in BmprIB exhibit irregular estrous cycles and an impaired pseudopregnancy response. BmprIB mutants produce oocytes that can be fertilized in vitro, but defects in cumulus expansion prevent fertilization in vivo. This defect is associated with decreased levels of aromatase production in granulosa cells. Unexpectedly, levels of mRNA for cyclooxygenase 2, an enzyme required for cumulus expansion, are increased. BmprIB mutants also exhibit a failure in endometrial gland formation. The expression of BmprIB in uterine linings suggests that these defects are a direct consequence of loss of BMP signaling in this tissue. In summary, these studies demonstrate the importance of BMP signaling pathways for estrus cyclicity, estradiol biosynthesis, and cumulus cell expansion in vivo and reveal sites of action for BMP signaling pathways in reproductive tissues.

Expression et effets des WNTs sur l’expansion du cumulus et la maturation de l’ovocyte chez la vache

Les WNTs sont une famille de glycoprotéines qui, secrétées dans le milieu extracellulaire, jouent un rôle important dans l’embryogenèse. Chez l’adulte, leur dérégulation va entrainer diverses affections incluant des troubles du développement accompagnés ou non de malformations mais aussi des cancers. Au niveau de l’ovaire, le rôle des WNTs demeure peu défini même si des études chez l’humain et la souris prouvent l’implication de certains membres de cette famille dans le développement ovarien ainsi que dans les processus de maturation folliculaire et d’ovulation. Dans ce contexte, nous avons voulu évaluer l’expression de quelques membres de la famille des WNTs (-2, -2b, -4, -5a et -5b) durant l’expansion des cellules du cumulus et évaluer l’effet de certains d’entre eux sur le COC ainsi que la maturation de l’ovocyte chez la vache. Les COCs bovins étaient placés dans une solution de maturation in vitro pendant 0, 6, 12 et 22h et les niveaux d’ARNm mesurés par PCR en temps réel. L’abondance de l’ARNm pour WNT-2b était significativement plus élevée après 6h de maturation comparée aux COCs immatures (à 0h), alors que l’ARNm codant pour WNT-2, -4, -5a et -5b n’augmentait qu’en fin de culture. L’addition d’EGF provoquait l’expansion du COC et la progression de l’ovocyte vers la métaphase II (MII) comme nous l’espérions mais, à notre grande surprise, l’ajout de WNT-2b au milieu de maturation provoquait également l’expansion du COC (82% et 69% pour EGF et WNT-2b respectivement) et la progression de l’ovocyte vers le stade MII (62% et 56% EGF et WNT-2b respectivement). La combinaison d’EGF et WNT-2b n’a pas produit de meilleurs résultats. Notre étude met en lumière l’implication des WNTs dans la maturation du COC chez la vache. Leurs voies d’activation restent toutefois à déterminer.

A new modelling framework for statistical cumulus dynamics

We propose a new modelling framework suitable for the description of atmospheric convective systems as a collection of distinct plumes. The literature contains many examples of models for collections of plumes in which strong simplifying assumptions are made, a diagnostic dependence of convection on the large-scale environment and the limit of many plumes often being imposed from the outset. Some recent studies have sought to remove one or the other of those assumptions. The proposed framework removes both, and is explicitly time-dependent and stochastic in its basic character. The statistical dynamics of the plume collection are defined through simple probabilistic rules applied at the level of individual plumes, and van Kampen's system size expansion is then used to construct the macroscopic limit of the microscopic model. Through suitable choices of the microscopic rules, the model is shown to encompass previous studies in the appropriate limits, and to allow their natural extensions beyond those limits.

Time course of the meiotic arrest in sheep cumulus-oocyte complexes treated with roscovitine

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Improvement to Chinese information retrieval by incorporating word segmentation and query expansion

The increasing diversity of the Internet has created a vast number of multilingual resources on the Web. A huge number of these documents are written in various languages other than English. Consequently, the demand for searching in non-English languages is growing exponentially. It is desirable that a search engine can search for information over collections of documents in other languages. This research investigates the techniques for developing high-quality Chinese information retrieval systems. A distinctive feature of Chinese text is that a Chinese document is a sequence of Chinese characters with no space or boundary between Chinese words. This feature makes Chinese information retrieval more difficult since a retrieved document which contains the query term as a sequence of Chinese characters may not be really relevant to the query since the query term (as a sequence Chinese characters) may not be a valid Chinese word in that documents. On the other hand, a document that is actually relevant may not be retrieved because it does not contain the query sequence but contains other relevant words. In this research, we propose two approaches to deal with the problems. In the first approach, we propose a hybrid Chinese information retrieval model by incorporating word-based techniques with the traditional character-based techniques. The aim of this approach is to investigate the influence of Chinese segmentation on the performance of Chinese information retrieval. Two ranking methods are proposed to rank retrieved documents based on the relevancy to the query calculated by combining character-based ranking and word-based ranking. Our experimental results show that Chinese segmentation can improve the performance of Chinese information retrieval, but the improvement is not significant if it incorporates only Chinese segmentation with the traditional character-based approach. In the second approach, we propose a novel query expansion method which applies text mining techniques in order to find the most relevant words to extend the query. Unlike most existing query expansion methods, which generally select the highly frequent indexing terms from the retrieved documents to expand the query. In our approach, we utilize text mining techniques to find patterns from the retrieved documents that highly correlate with the query term and then use the relevant words in the patterns to expand the original query. This research project develops and implements a Chinese information retrieval system for evaluating the proposed approaches. There are two stages in the experiments. The first stage is to investigate if high accuracy segmentation can make an improvement to Chinese information retrieval. In the second stage, a text mining based query expansion approach is implemented and a further experiment has been done to compare its performance with the standard Rocchio approach with the proposed text mining based query expansion method. The NTCIR5 Chinese collections are used in the experiments. The experiment results show that by incorporating the text mining based query expansion with the hybrid model, significant improvement has been achieved in both precision and recall assessments.

On the optimal capacity expansion of electric power systems

The analysis of investment in the electric power has been the subject of intensive research for many years. The efficient generation and distribution of electrical energy is a difficult task involving the operation of a complex network of facilities, often located over very large geographical regions. Electric power utilities have made use of an enormous range of mathematical models. Some models address time spans which last for a fraction of a second, such as those that deal with lightning strikes on transmission lines while at the other end of the scale there are models which address time horizons consisting of ten or twenty years; these usually involve long range planning issues. This thesis addresses the optimal long term capacity expansion of an interconnected power system. The aim of this study has been to derive a new, long term planning model which recognises the regional differences which exist for energy demand and which are present in the construction and operation of power plant and transmission line equipment. Perhaps the most innovative feature of the new model is the direct inclusion of regional energy demand curves in the nonlinear form. This results in a nonlinear capacity expansion model. After review of the relevant literature, the thesis first develops a model for the optimal operation of a power grid. This model directly incorporates regional demand curves. The model is a nonlinear programming problem containing both integer and continuous variables. A solution algorithm is developed which is based upon a resource decomposition scheme that separates the integer variables from the continuous ones. The decompostion of the operating problem leads to an interactive scheme which employs a mixed integer programming problem, known as the master, to generate trial operating configurations. The optimum operating conditions of each trial configuration is found using a smooth nonlinear programming model. The dual vector recovered from this model is subsequently used by the master to generate the next trial configuration. The solution algorithm progresses until lower and upper bounds converge. A range of numerical experiments are conducted and these experiments are included in the discussion. Using the operating model as a basis, a regional capacity expansion model is then developed. It determines the type, location and capacity of additional power plants and transmission lines, which are required to meet predicted electicity demands. A generalised resource decompostion scheme, similar to that used to solve the operating problem, is employed. The solution algorithm is used to solve a range of test problems and the results of these numerical experiments are reported. Finally, the expansion problem is applied to the Queensland electricity grid in Australia.

On the optimal capacity expansion of electric power systems

The analysis of investment in the electric power has been the subject of intensive research for many years. The efficient generation and distribution of electrical energy is a difficult task involving the operation of a complex network of facilities, often located over very large geographical regions. Electric power utilities have made use of an enormous range of mathematical models. Some models address time spans which last for a fraction of a second, such as those that deal with lightning strikes on transmission lines while at the other end of the scale there are models which address time horizons consisting of ten or twenty years; these usually involve long range planning issues. This thesis addresses the optimal long term capacity expansion of an interconnected power system. The aim of this study has been to derive a new, long term planning model which recognises the regional differences which exist for energy demand and which are present in the construction and operation of power plant and transmission line equipment. Perhaps the most innovative feature of the new model is the direct inclusion of regional energy demand curves in the nonlinear form. This results in a nonlinear capacity expansion model. After review of the relevant literature, the thesis first develops a model for the optimal operation of a power grid. This model directly incorporates regional demand curves. The model is a nonlinear programming problem containing both integer and continuous variables. A solution algorithm is developed which is based upon a resource decomposition scheme that separates the integer variables from the continuous ones. The decompostion of the operating problem leads to an interactive scheme which employs a mixed integer programming problem, known as the master, to generate trial operating configurations. The optimum operating conditions of each trial configuration is found using a smooth nonlinear programming model. The dual vector recovered from this model is subsequently used by the master to generate the next trial configuration. The solution algorithm progresses until lower and upper bounds converge. A range of numerical experiments are conducted and these experiments are included in the discussion. Using the operating model as a basis, a regional capacity expansion model is then developed. It determines the type, location and capacity of additional power plants and transmission lines, which are required to meet predicted electicity demands. A generalised resource decompostion scheme, similar to that used to solve the operating problem, is employed. The solution algorithm is used to solve a range of test problems and the results of these numerical experiments are reported. Finally, the expansion problem is applied to the Queensland electricity grid in Australia