Expression and role of BORIS/CTCFL in human cancer stem cells

Le cancer est défini comme la croissance incontrôlée des cellules dans le corps. Il est responsable de 20 % des décès en Europe. Plusieurs expériences montrent que les tumeurs sont issues et se développent grâce à un petit nombre de cellules, que l'on appelle cellules souches cancéreuses (CSC). Ces CSC sont également responsables de l'apparition de métastases et de la résistance aux médicaments anticancéreux. De ce fait, l'identification des gènes qui contribuent aux propriétés de ces CSC (comme la survie des tumeurs, les métastases et la résistance aux médicaments) est nécessaire pour mieux comprendre la biologie des cancers et d'améliorer la qualité des soins des patients avec un cancer. A ce jour, de nombreux marqueurs ont été proposés ainsi que de nouvelles thérapies ciblées contre les CSC. Toutefois, et malgré les énormes efforts de la recherche dans ce domaine, la quasi-totalité des marqueurs de CSC connus à ce jour sont aussi exprimés dans les cellules saines. Ce projet de recherche visait à trouver un nouveau candidat spécifique des CSC. Le gène BORIS (pour Brother of Regulator of Imprinted Sites), nommé aussi CTCFL (CTCF-like), semble avoir certaines caractéristiques de CSC et pourrait donc devenir une cible prometteuse pour le traitement du cancer. BORIS/CTCFL est une protéine nucléaire qui se lie à l'ADN, qui est exprimée dans les tissus normaux uniquement dans les cellules germinales et qui est réactivée dans un grand nombre de tumeurs. BORIS est impliqué dans la reprogrammation épigénétique au cours du développement et dans la tumorigenèse. En outre, des études récentes ont montré une association entre l'expression de BORIS et un mauvais pronostic chez des patients atteints de différents types de cancers. Nous avons développé une nouvelle technologie basée sur les Molecular Beacon pour cibler l'ARNm de BORIS et cela dans les cellules vivantes. Grâce à ce système expérimental, nous avons montré que seule une toute petite sous-population (0,02 à 5%) de cellules tumorales exprimait fortement BORIS. Les cellules exprimant BORIS ont pu être isolées et elles présentaient les caractéristiques de CSC, telles qu'une forte expression de hTERT et des gènes spécifiques des cellules souches (NANOG, SOX2 et OCT4). En outre, une expression élevée de BORIS a été mise en évidence dans des populations enrichies en CSC ('side population' et sphères). Ces résultats suggèrent que BORIS pourrait devenir un nouveau et important marqueur de CSC. Dans des études fonctionnelles sur des cellules de cancer du côlon et du sein, nous avons montré que le blocage de l'expression de BORIS altère largement la capacité de ces cellules à former des sphères, démontrant ainsi un rôle essentiel de BORIS dans l'auto- renouvellement des tumeurs. Nos expériences montrent aussi que BORIS est un facteur important qui régule l'expression de gènes jouant un rôle clé dans le développement et la progression tumorale, tels le gène hTERT et ceux impliqués dans les cellules souches, les CSC et la transition épithélio-mésenchymateuse (EMT). BORIS pourrait affecter la régulation de la transcription de ces gènes par des modifications épigénétiques et de manière différente en fonction du type cellulaire. En résumé, nos résultats fournissent la preuve que BORIS peut être classé comme un gène marqueur de cellules souches cancéreuse et révèlent un nouveau mécanisme dans lequel BORIS jouerait un rôle important dans la carcinogénèse. Cette étude ouvre de nouvelles voies pour mieux comprendre la biologie de la progression tumorale et offre la possibilité de développement de nouvelles thérapies anti-tumorales et anti-CSC avec BORIS comme molécule cible. - Cancer is defined as the uncontrolled growth of cells in the body. It causes 20% of deaths in the European region. Current evidences suggest that tumors originate and are maintained thanks to a small subset of cells, named cancer stems cells (CSCs). These CSCs are also responsible for the appearance of metastasis and therapeutic resistance. Consequently, the identification of genes that contribute to the CSC properties (tumor survival, metastasis and therapeutic resistance) is necessary to better understand the biology of malignant diseases and to improve care management. To date, numerous markers have been proposed to use as new CSC- targeted therapies. Despite the enormous efforts in research, almost all of the known CSCs markers are also expressed in normal cells. This project aimed to find a new CSC-specific candidate. BORIS (Brother of Regulator of Imprinted Sites) or CTCFL (CTCF-like) is a DNA binding protein involves in epigenetic reprogramming in normal development and in tumorigenesis. Recent studies have shown an association of BORIS expression with a poor prognosis in different types of cancer patients. Therefore, BORIS seems to have the same characteristics of CSCs markers and it could be a promising target for cancer therapy. BORIS is normally expressed only in germinal cells and it is re-expressed in a wide variety of tumors. We developed a new molecular beacon-based technology to target BORIS mRNA expressing cells. Using this system, we showed that the BORIS expressing cells are only a small subpopulation (0.02-5%) of tumor cells. The isolated BORIS expressing cells exhibited the characteristics of CSCs, with high expression of hTERT and stem cell genes (NANOG, SOX2 and OCT4). Furthermore, high BORIS expression was observed in the CSC-enriched populations (side population and spheres). These results suggest that BORIS might be a novel and powerful CSCs marker. In functional studies, we observed that BORIS knockdown significantly impairs the capacity to form spheres in colon and breast cancer cells, thus demonstrating a critical role of BORIS in the self-renewal of tumors. The results showed in the functional analysis indicate that BORIS is an important factor that regulates the expression of key-target genes for tumor development and progression, such as hTERT, stem cells, CSCs markers and EMT (epithelial mesenchymal transition)-related marker genes. BORIS could affect the transcriptional regulation of these genes by epigenetic modification and in a cell type dependent manner. In summary, our results support the evidence that BORIS can be classified as a cancer stem cell marker gene and reveal a novel mechanism in which BORIS would play a critical role in tumorigenesis. This study opens new prospective to understand the biology of tumor development and provides opportunities for potential anti-tumor drugs.

Opportunities for a cultural specific approach in the computational description of music

The current research in Music Information Retrieval (MIR) is showing the potential that the Information Technologies can have in music related applications. Amajor research challenge in that direction is how to automaticallydescribe/annotate audio recordings and how to use the resulting descriptions to discover and appreciate music in new ways. But music is a complex phenomenonand the description of an audio recording has to deal with this complexity. For example, each musicculture has specificities and emphasizes different musicaland communication aspects, thus the musical recordings of each culture should be described differently. At the same time these cultural specificities give us the opportunity to pay attention to musical concepts andfacets that, despite being present in most world musics, are not easily noticed by listeners. In this paper we present some of the work done in the CompMusic project, including ideas and specific examples on how to take advantage of the cultural specificities of differentmusical repertoires. We will use examples from the art music traditions of India, Turkey and China.

Réduction de la consommation de sel: opportunité, impact et stratégies. [Population reduction of salt consumption: opportunities, impact and strategies].

A national survey showed that Swiss people eat high quantity of salt (9.1 g per day on average). The Swiss Federal Office of Public Health (FOPH) has launched a strategy to reduce salt intake in the population in order to decrease cardiovascular morbidity and mortality, mainly via blood pressure reduction. The most effective public health measures are to reduce the salt content of processed food rich in salt because they do not need to change consumers' eating behaviours. The FOPH has chosen to collaborate with the food industry on a voluntary basis. Regular population-based surveys will be needed to monitor the impact of current measures on salt consumption, hypertension prevalence as well as cardiovascular morbidity and mortality in the years to come.

New opportunities for farm accounting

There is a gap between the importance given to accounting and the low level of bookkeeping and accounting practice in the agricultural sector. Current general accounting rules do not adapt very well to the particularities of farming and are difficult and expensive to implement. The Farm Accountancy Data Network (FADN) and IASC's Proposed International Accounting Standard on Agriculture (PIASA) could be key elements to improve the use of accounting in European farms. The PIASA provides a strong conceptual framework but might need further instruments for its implementation in practice. FADN is an experienced network that has elaborated very detailed farm accounting procedures. Empirical data indicate that current FADN reports are already considered useful by farmers for different purposes. Some changes in the FADN procedures are suggested, while some aspects of FADN are worthwhile for the future IAS on agriculture.

Making land-use fit to planning goals. Weaknesses and opportunities within the Swiss land management regime

In Switzerland, the issue of land consumption has made it to the front of the political agenda in recent years. Studies conducted on a national level have concluded that there is an excess of land zoned for construction (ARE, 2008), which is seen as contributing to urban sprawl. This situation is looked upon as a failure of the Federal Law on Spatial Planning (LAT, 1979) and there is a political push to change it in order to reinforce zoning regulations. In this article, we look on the issue from a different angle. While there may be large quantities of land zoned for construction, in many urban areas land actually available for development is scarce. Building on the idea that planning's efficiency is linked to its capacity of influencing actual land-use, we focus on how this situation can be dealt with within the current Swiss institutional context.

How to recognize opportunities: Heterarchical search in a Wall Street trading room

Our task in this paper is to analyze the organization of trading in the era of quantitativefinance. To do so, we conduct an ethnography of arbitrage, the trading strategy that bestexemplifies finance in the wake of the quantitative revolution. In contrast to value andmomentum investing, we argue, arbitrage involves an art of association - the constructionof equivalence (comparability) of properties across different assets. In place of essentialor relationa l characteristics, the peculiar valuation that takes place in arbitrage is based on an operation that makes something the measure of something else - associating securities to each other. The process of recognizing opportunities and the practices of making novel associations are shaped by the specific socio-spatial and socio-technical configurations of the trading room. Calculation is distributed across persons and instruments as the trading room organizes interaction among diverse principles of valuation.

Charting Our Own Course: Today’s Challenges, Tomorrow’s Opportunities, December 2008

The Office of Energy Independence presents Iowa’s second annual energy independence plan, which highlights accomplishments achieved thus far and makes recommendations for the coming year. This plan shows that Iowa has made significant progress in building the foundation for reaching energy independence in just the past year. Continued investment and further efforts will enable Iowa to push toward even greater advances, while creating new jobs and diversifying local economies. With those aims in mind, the state has been investing extensively in the new energy economy. One important example is the Iowa Power Fund, an annual appropriation from the Iowa General Assembly administered by the Office of Energy Independence. In less than one year, the Office has received more than 160 project applications totaling more than $308 million in requests. The projects approved thus far will help advance Iowa’s wind and solar industries, foster new energy efficiency practices, and develop the bio fuels industry for a more economically and environmentally sustainable future. Iowa’s position as a leader in the new energy economy is dependent on the success of the Power Fund, and on the success of this plan. This plan clearly states that Iowa must boldly pursue a strong position in the emerging energy economy worldwide.

Epithelial to mesenchymal transition in the pathogenesis of uterine malignant mixed Müllerian tumours: the role of ubiquitin proteasome system and therapeutic opportunities.

Malignant mixed Müllerian tumours (malignant mixed mesodermal tumours, MMMT) of the uterus are metaplastic carcinomas with a sarcomatous component and thus they are also called carcinosarcomas. It has now been accepted that the sarcomatous component is derived from epithelial elements that have undergone metaplasia. The process that produces this metaplasia is epithelial to mesenchymal transition (EMT), which has recently been described as a neoplasia-associated programme shared with embryonic development and enabling neoplastic cells to move and metastasise. The ubiquitin proteasome system (UPS) regulates the turnover and functions of hundreds of cellular proteins. It plays important roles in EMT by being involved in the regulation of several pathways participating in the execution of this metastasis-associated programme. In this review the specifi c role of UPS in EMT of MMMT is discussed and therapeutic opportunities from UPS manipulations are proposed.

Of housing and politics : mapping political opportunities for mobilising in Bangalore, India

Quelles sont les conditions pour l'émergence d'une mobilisation sociale en faveur du logement convenable dans la métropole de Bangalore (Inde)? Cette question, qui est au coeur de cette thèse, est particulièrement pertinente dans le contexte d'une ville où 1,7 million de personnes, soit un cinquième de la population, vit dans des bidonvilles. L'absence d'un mouvement mettant en cause l'échec des politiques publiques du logement est intéressante dans la mesure où l'Inde a hérité un système de gouvernance colonial et d'une tradition de mouvements sociaux. Pour répondre à ce questionnement, un cadre théorique issu de la littérature sur les mouvements sociaux est développé. Il s'articule autour des liens entre les opportunités politiques au niveau macro et les répertoires d'action des organisations de mouvement social (OMS) au niveau méso, de la tension entre la formalité de la loi et des politiques publiques et l'informalité des circuits d'échange, de la corruption et du clientélisme, et enfin, se focalise sur les systèmes de discours de caste et de la citoyenneté et de leur concrétisation dans des systèmes d'organisations et de réseaux sociaux. Ce cadre théorique permet d'étudier empiriquement la question à travers quatre OMS dans la ville de Bangalore. Les résultats mettent en avant l'existence de mécanismes complexes. Les opportunités politiques formelles n'étant ouvertes que sur le plan rhétorique, elles ne peuvent être véritablement utilisées que par des moyens légaux ou contentieux, ce qui nécessite des compétences sociales dont la plupart des habitants des bidonvilles sont dépourvus. L'inadéquation entre les ressources à disposition pour les logements sociaux et les besoins très importants des pauvres, donne un poids politique considérable aux acteurs en charge de l'attribution de ces ressources rares. Cet état de fait a des répercussions sur la politique électorale. Les habitants des bidonvilles représentant un poids électoral important, ils sont mobilisés à travers de pratiques clientélistes. La corruption et le clientélisme se nourrissent mutuellement pour maintenir une certaine dépendance des habitants. Les OMS qui développent un répertoire discursif remettant en cause le système de caste et qui encouragent une conscience citoyenne, se sont avérées les plus durables pour résister à la cooptation des forces politiques. Cette recherche empirique met en lumière l'inadéquation entre les prescriptions formelles dans le domaine de la gouvernance des besoins humains, tels que le logement, et les pratiques réelles sur le terrain. Cette recherche appelle à réfléchir au-delà de la diffusion du discours sur la « bonne gouvernance » vers des formes de « gouvernance vernaculaire » qui prendrait au sérieux l'informalité en développant une compréhension des avantages à court terme pour les personnes marginalisées dans la ville et les effets à long terme sur la pratique démocratique. - What are the conditions for the emergence of a social movement on the issue of adequate housing in the metropolitan city of Bangalore (India)? This question is at the heart of this dissertation and is particularly pertinent against the background that an estimated 1.7 million or about 20% of the city's population lives in slums. The absence of a movement addressing the failure of public housing policy despite India having inherited colonial systems of governance and traditions of movement is noteworthy. Answers are sought within a theoretical framework stemming from social movement theories that incorporates three linkages articulating around: Macro-level political opportunities and meso-level action repertoires of social movement organisations (SMOs), tensions between the formality of law, policy and the informality of exchange circuits of corruption and clientelism and finally around systems of discourses of caste and citizenship and their instantiation in concrete systems of social organisations and networks. This thesis is empirically investigated through a qualitative case study research design involving four sampled social movement organisations. The results bring complex mechanisms to the fore. Formal political opportunities are only rhetorically open and have to be cracked through legal weaponry or contentious escalation, which requires considerable social skills that slum-dwellers often lack. The inadequacy between the few housing resources and the vast number of slum-dwellers transform housing benefits and urban service provisions into political currency. Such a state of affairs has serious repercussions on conditions for mobilisation. They become imbricated with electoral logic, in which slum-dwellers represent large vote-banks and where corruption and clientelism feed each other to maintain a certain dependency of the poor. SMOs deploying a discursive repertoire that questioned the caste system and encouraged a pursuit of citizenship proved to be the most sustainable to resist co-option from political forces. This empirical investigation brings to light the mismatch between the formal prescriptions in the domain of the governance of basic human needs such as housing and the real practices on the ground. This research calls to reflect beyond the inadequacy of the diffused « good governance » discourse towards forms of « vernacular governance » that take informality seriously in understanding the short-term benefits for the marginalised in the city and the long-term effects on democratic practice.

Micro-insurance through corporate-NGO partnerships in West Bengal : opportunities and constraints

This Practical Note examines the nascent micro-insurance sector in West Bengal, paying particular attention to the corporate- NGO partnership model for micro-insurance distribution,which has been enabled by India's unique regulatory framework. We challenge the popularconstruction of this model as a 'win - win' for all parties by analysing conflicting understandings of micro-insurance schemes and their purposes by insurance companies, NGOs, and poorvillagers. The article also considers the role of the specific political context of West Bengal inconstricting corporate- NGO micro-insurance

Neurotheology: challenges and opportunities

During the last decades of the twentieth century scholars have proposed "neurotheology" as a new subdiscipline of the neurosciences. This article presents a review and discussion of different interpretations placed on neu- rotheology, and attempts to estimate the extent to which neuroscience is a challenge and/or an opportunity for theology and (for the study of) religion. On the neuroscientific side, neurotheology can be split into a reductionist and a religionist neuroscience of religion. On the theological side, it can be split into apologetic and integrative approaches. The appraisal of these differ- ent interpretations and of the relevance of neuroscience for the study of re- ligion is conducted from three points of view: philosophy and theology, cog- nitive science, psychology of religion and sciences of religions.

Advanced Kernel Methods For Remote Sensing Image Classification

Résumé Suite aux recentes avancées technologiques, les archives d'images digitales ont connu une croissance qualitative et quantitative sans précédent. Malgré les énormes possibilités qu'elles offrent, ces avancées posent de nouvelles questions quant au traitement des masses de données saisies. Cette question est à la base de cette Thèse: les problèmes de traitement d'information digitale à très haute résolution spatiale et/ou spectrale y sont considérés en recourant à des approches d'apprentissage statistique, les méthodes à noyau. Cette Thèse étudie des problèmes de classification d'images, c'est à dire de catégorisation de pixels en un nombre réduit de classes refletant les propriétés spectrales et contextuelles des objets qu'elles représentent. L'accent est mis sur l'efficience des algorithmes, ainsi que sur leur simplicité, de manière à augmenter leur potentiel d'implementation pour les utilisateurs. De plus, le défi de cette Thèse est de rester proche des problèmes concrets des utilisateurs d'images satellite sans pour autant perdre de vue l'intéret des méthodes proposées pour le milieu du machine learning dont elles sont issues. En ce sens, ce travail joue la carte de la transdisciplinarité en maintenant un lien fort entre les deux sciences dans tous les développements proposés. Quatre modèles sont proposés: le premier répond au problème de la haute dimensionalité et de la redondance des données par un modèle optimisant les performances en classification en s'adaptant aux particularités de l'image. Ceci est rendu possible par un système de ranking des variables (les bandes) qui est optimisé en même temps que le modèle de base: ce faisant, seules les variables importantes pour résoudre le problème sont utilisées par le classifieur. Le manque d'information étiquétée et l'incertitude quant à sa pertinence pour le problème sont à la source des deux modèles suivants, basés respectivement sur l'apprentissage actif et les méthodes semi-supervisées: le premier permet d'améliorer la qualité d'un ensemble d'entraînement par interaction directe entre l'utilisateur et la machine, alors que le deuxième utilise les pixels non étiquetés pour améliorer la description des données disponibles et la robustesse du modèle. Enfin, le dernier modèle proposé considère la question plus théorique de la structure entre les outputs: l'intègration de cette source d'information, jusqu'à présent jamais considérée en télédétection, ouvre des nouveaux défis de recherche. Advanced kernel methods for remote sensing image classification Devis Tuia Institut de Géomatique et d'Analyse du Risque September 2009 Abstract The technical developments in recent years have brought the quantity and quality of digital information to an unprecedented level, as enormous archives of satellite images are available to the users. However, even if these advances open more and more possibilities in the use of digital imagery, they also rise several problems of storage and treatment. The latter is considered in this Thesis: the processing of very high spatial and spectral resolution images is treated with approaches based on data-driven algorithms relying on kernel methods. In particular, the problem of image classification, i.e. the categorization of the image's pixels into a reduced number of classes reflecting spectral and contextual properties, is studied through the different models presented. The accent is put on algorithmic efficiency and the simplicity of the approaches proposed, to avoid too complex models that would not be used by users. The major challenge of the Thesis is to remain close to concrete remote sensing problems, without losing the methodological interest from the machine learning viewpoint: in this sense, this work aims at building a bridge between the machine learning and remote sensing communities and all the models proposed have been developed keeping in mind the need for such a synergy. Four models are proposed: first, an adaptive model learning the relevant image features has been proposed to solve the problem of high dimensionality and collinearity of the image features. This model provides automatically an accurate classifier and a ranking of the relevance of the single features. The scarcity and unreliability of labeled. information were the common root of the second and third models proposed: when confronted to such problems, the user can either construct the labeled set iteratively by direct interaction with the machine or use the unlabeled data to increase robustness and quality of the description of data. Both solutions have been explored resulting into two methodological contributions, based respectively on active learning and semisupervised learning. Finally, the more theoretical issue of structured outputs has been considered in the last model, which, by integrating outputs similarity into a model, opens new challenges and opportunities for remote sensing image processing.