No description available.

Les résultats du criblage siRNA destiné à identifier de nouveaux acteurs de la NER, sont en court d'exploitation mais nous mettons déjà en évidence le rôle de certains gènes impliqués dans la biochimie des ARNm comme ceux empêchant la formation des hybrides ARN/ADN dans l'efficacité de réparation des lésions UV. En étudiant le rôle de la methyltransférase DOT1L, nous avons montré que son absence dans des fibroblastes embryonnaires de souris (MEFDOT1L) conduit à une sensibilité de ces cellules aux irradiations UV alors que la réparation des lésions produites par cette irradiation est intacte. L'absence de DOT1L conduit en réalité à une inhibition de l'initiation de la transcription des gènes après irradiation. Au niveau mécanistique, des expériences de STRIP-FRAP ont établit que DOT1L assurait l'association de l'ARN polymérase II à la chromatine après irradiation UV. Dans une analyse plus détaillée, nous avons montré que DOT1L favorisait la formation du complexe de pré-initiation au niveau du promoteur des gènes de ménage ainsi que l'apparition de marques d'euchromatine transcriptionnellement actives. Bien que l'expression des gène de ménage soit inhibée, une analyse transcriptomique montre que les gènes pro-apoptotiques sont fortement transactivés chez les MEFDOT1L après irradiation. Le traitement à la trichostatine A, qui relaxe la chromatine, diminue la transactivation des gènes apoptotiques et restore l'initiation de la transcription et la survie aux UV. Sur la base de ces données, nous proposons que DOT1L garde structure de la chromatine ouverte après UV.

No description available.

A mitoxantrona (MXT) é um antineoplásico utilizado no tratamento de tumores como leucemias, linfoma não-Hodgkin e câncer de mama e próstata. Ela é classificada como uma antracenodiona, sendo um análogo estrutural das antraciclinas, como a doxorrubicina (DOX), cujo mecanismo de ação é baseado na inibição da enzima topoisomerase II (Topo II), através da formação dos complexos estabilizados Topo II-DNA. As antraciclinas e a MXT também são capazes de formar lesões do tipo adutos, pontes intercadeias de DNA (interstrand crosslink – ICL) e espécies reativas de oxigênio (ERO). Estudos têm demonstrado que a via de reparo por excisão de nucleotídeos (Nucleotide Excision Repair – NER) está envolvido na remoção de lesões no DNA induzidas pela DOX. Considerando as similaridades estruturais e de mecanismo de ação entre a MXT e a DOX, o objetivo deste trabalho foi avaliar a influência da via NER na citotoxicidade da MXT, a fim de elucidar possíveis mecanismos envolvidos na resistência tumoral a esta droga. Os resultados encontrados demonstraram que células deficientes na via NER (XPA, XPD, XPC e CSB) apresentam elevada sensibilidade a MXT comparadas a células proficientes em reparo (MRC5). Apesar disso, células CSB (deficientes na subvia associada à transcrição - Transcription coupled – TCR-NER) são mais sensíveis a MXT que células XPC (deficientes na subvia de reparo global do genoma – Global genome repair – GGR-NER) e também apresentam diferenças no perfil de ciclo celular, síntese de DNA e formação dos complexos Topo II-DNA após tratamento com MXT. Células XPC, da mesma forma que as células proficientes MRC5 apresentam parada de ciclo celular em G2/M, recuperação da síntese de DNA e sinal semelhante para formação dos complexos Topo II-DNA, enquanto células CSB apresentam acúmulo de células na fase S, diminuição na síntese de DNA e sinal mais intenso para formação dos complexos Topo II-DNA. Além disso, a complementação das células CSB com a proteína CSB recuperou a resistência das células a MXT e também diminuiu a intensidade do sinal dos complexos Topo II-DNA. Estes resultados indicaram que a via NER está envolvida na resistência das células ao tratamento com MXT e que a proteína CSB ou a subvia TCR-NER tem um papel chave no processamento dos complexos Topo II-DNA. / Mitoxantrone (MXT) is an antineoplastic drug used in treatment of tumors like leukemia, non-Hodgkin lymphoma and breast and prostate cancer. It is classified as an anthracenedione, being a structural analogue of anthracyclines, like doxorubicin (DOX), which action mechanism is based on topoisomerase II (Topo II) inhibition and formation of stabilized Topo II-DNA complexes. Anthracyclines and MXT also can form lesions like DNA adducts, interstrand crosslinks (ICL) and reactive oxygen species (ROS). Studies have shown that nucleotide excision repair (NER) pathway is involved in removal of lesions induced by DOX. Due to structural and action mechanism similarities between MXT and DOX, the aim of this work was to evaluate the influence of NER pathway in cytotoxicity of MXT, in order to elucidate possible mechanisms involved in tumor resistance to this drug. The results demonstrated that NER-deficient cells (XPA, XPD, XPC and CSB) show high sensitivity to MXT compared to repair proficient cells (MRC5). However, CSB cells (deficient in Transcription coupled repair – TCR) were more sensitive to MXT than XPC cells (deficient in Global genome repair – GGR) and also showed differences in cell cycle, DNA synthesis and Topo II-DNA complexes formation upon MXT treatment. XPC cells, in the same way as MRC5 proficient cells present G2/M cell cycle arrest, DNA synthesis recovery and similar signal for Topo II-DNA complexes formation, while CSB cells present accumulation of cells in S phase, reduced DNA synthesis and a more intense signal for Topo II-DNA complexes formation. Moreover, CSB cells complementation recovery MXT-resistance and also diminished Topo II-DNA complexes signal intensity. These results indicate that NER pathway is involved in cells resistance to MXT treatment and that CSB protein or TCR-NER sub pathway has a key role in processing of MXT induced Topo II-DNA complexes.

A mitoxantrona (MXT) é um antineoplásico utilizado no tratamento de tumores como leucemias, linfoma não-Hodgkin e câncer de mama e próstata. Ela é classificada como uma antracenodiona, sendo um análogo estrutural das antraciclinas, como a doxorrubicina (DOX), cujo mecanismo de ação é baseado na inibição da enzima topoisomerase II (Topo II), através da formação dos complexos estabilizados Topo II-DNA. As antraciclinas e a MXT também são capazes de formar lesões do tipo adutos, pontes intercadeias de DNA (interstrand crosslink – ICL) e espécies reativas de oxigênio (ERO). Estudos têm demonstrado que a via de reparo por excisão de nucleotídeos (Nucleotide Excision Repair – NER) está envolvido na remoção de lesões no DNA induzidas pela DOX. Considerando as similaridades estruturais e de mecanismo de ação entre a MXT e a DOX, o objetivo deste trabalho foi avaliar a influência da via NER na citotoxicidade da MXT, a fim de elucidar possíveis mecanismos envolvidos na resistência tumoral a esta droga. Os resultados encontrados demonstraram que células deficientes na via NER (XPA, XPD, XPC e CSB) apresentam elevada sensibilidade a MXT comparadas a células proficientes em reparo (MRC5). Apesar disso, células CSB (deficientes na subvia associada à transcrição - Transcription coupled – TCR-NER) são mais sensíveis a MXT que células XPC (deficientes na subvia de reparo global do genoma – Global genome repair – GGR-NER) e também apresentam diferenças no perfil de ciclo celular, síntese de DNA e formação dos complexos Topo II-DNA após tratamento com MXT. Células XPC, da mesma forma que as células proficientes MRC5 apresentam parada de ciclo celular em G2/M, recuperação da síntese de DNA e sinal semelhante para formação dos complexos Topo II-DNA, enquanto células CSB apresentam acúmulo de células na fase S, diminuição na síntese de DNA e sinal mais intenso para formação dos complexos Topo II-DNA. Além disso, a complementação das células CSB com a proteína CSB recuperou a resistência das células a MXT e também diminuiu a intensidade do sinal dos complexos Topo II-DNA. Estes resultados indicaram que a via NER está envolvida na resistência das células ao tratamento com MXT e que a proteína CSB ou a subvia TCR-NER tem um papel chave no processamento dos complexos Topo II-DNA. / Mitoxantrone (MXT) is an antineoplastic drug used in treatment of tumors like leukemia, non-Hodgkin lymphoma and breast and prostate cancer. It is classified as an anthracenedione, being a structural analogue of anthracyclines, like doxorubicin (DOX), which action mechanism is based on topoisomerase II (Topo II) inhibition and formation of stabilized Topo II-DNA complexes. Anthracyclines and MXT also can form lesions like DNA adducts, interstrand crosslinks (ICL) and reactive oxygen species (ROS). Studies have shown that nucleotide excision repair (NER) pathway is involved in removal of lesions induced by DOX. Due to structural and action mechanism similarities between MXT and DOX, the aim of this work was to evaluate the influence of NER pathway in cytotoxicity of MXT, in order to elucidate possible mechanisms involved in tumor resistance to this drug. The results demonstrated that NER-deficient cells (XPA, XPD, XPC and CSB) show high sensitivity to MXT compared to repair proficient cells (MRC5). However, CSB cells (deficient in Transcription coupled repair – TCR) were more sensitive to MXT than XPC cells (deficient in Global genome repair – GGR) and also showed differences in cell cycle, DNA synthesis and Topo II-DNA complexes formation upon MXT treatment. XPC cells, in the same way as MRC5 proficient cells present G2/M cell cycle arrest, DNA synthesis recovery and similar signal for Topo II-DNA complexes formation, while CSB cells present accumulation of cells in S phase, reduced DNA synthesis and a more intense signal for Topo II-DNA complexes formation. Moreover, CSB cells complementation recovery MXT-resistance and also diminished Topo II-DNA complexes signal intensity. These results indicate that NER pathway is involved in cells resistance to MXT treatment and that CSB protein or TCR-NER sub pathway has a key role in processing of MXT induced Topo II-DNA complexes.

Mon travail de thèse s’est axé sur deux projets, le premier a porté sur l’étude fonctionnelle de la sous unité TTDA de TFIIH, un facteur général de transcription impliqué dans la réparation NER, afin d’identifier de nouveaux partenaires de la sous unité TTDA nous avons réalisé un crible double hybride et ainsi sélectionné ZBTB38, une protéine impliqué dans la répression de gènes portant des methylations CpG, nous avons confirmé son interaction avec TTDA, et son implication dans la réparation NER. La deuxième partie a porté sur l’étude du recrutement des facteurs NER sur la chromatine en absence de lésions de l’ADN. En utilisant le système rapporteur LacO/LacR nous avons observé que l’immobilisation de l’un des facteurs NER sur la chromatine non endommagée permet l’assemblage du PInC de façon séquentielle et ordonnée. Nous avons aussi révélé que TTDA, connue pour être impliquée dans la trichothiodystrophie, joue un rôle clé dans la complétion du PInC. / During my thesis I worked on two projects, the first one was focused on the functional study of TTDA subunit of TFIIH, which is a general transcription factor involved in NER, we made a double hybrid screening to identify new interactants of TTDA subunit, and we could select ZBTB38, which is known to be implicated in methyl dependant gene repression; we confirmed its interaction with TTDA and its involvement in NER. The second project was entiteled Molecular Insights into the formation of the nucleotide excision repair complex revealed on undamaged chromatin. we analyzed the formation of the PInC independently of DNA damage by using the LacO-LacR system. We observed a sequential and ordered self-assembly of the PInC operating upon immobilization of individual NER factors on undamaged chromatin and mimicking that functioning on a bona fide NER substrate. We also revealed that the recruitment of TTDA, involved in Trichothiodystrophy disorder, was key in the completion of the PInC.

Publicly editable knowledge bases such as Wikipedia and Wikidata have over the years grown tremendously in size. Despite the quick growth, they can never be fully complete due to the continuous stream of events happening in the world. In the task of Entity Linking, it is attempted to link mentions of objects in a document to its respective corresponding entries in a knowledge base. However, due to the incompleteness of knowledge bases, new or emerging entities cannot be linked. Attempts to solve this issue have created the field referred to as Emerging Entities. Recent state-of-the-art work has addressed the issue with promising results in English. In this thesis, the previous work is examined by evaluating its method in the context of a much smaller language; Swedish. The results reveal an expected drop in overall performance although remaining relative competitiveness. This indicates that the method is a feasible approach to the problem of Emerging Entities even for much less used languages. Due to limitations in the scope of the related work, this thesis also suggests a method for evaluating the accuracy of how the Emerging Entities are modeled in a knowledge base. The study also provides a comprehensive look into the landscape of Emerging Entities and suggests further improvements.

From gametogenesis until death an organism’s genome is under constant bombardment from endogenous and exogenous sources of DNA damage. To maintain genomic integrity amid this damage, cells have evolved responses which allow them to either preserve viability for recovery or initiate self-destructive pathways depending on the severity of DNA damage. One protein involved in initiating and carrying out these responses is the protein kinase ataxia telangiectasia and Rad3-related (ATR). ATR is known primarily for its regulatory role in initiating the checkpoint-signaling cascade following DNA damage and replicative stress. These signaling events lead to cell cycle arrest, DNA repair, or apoptosis when damage is too extreme. In addition to these kinase-dependent roles, ATR also is capable of directly blocking the intrinsic apoptotic pathway through structural sequestration of the proapoptotic protein tBid. The sum of these regulatory events is a delicate balancing act resulting in either cell death or cell survival depending on the severity of the damage and the differentiation state of the cell in question. In the following studies, we sought to investigate the complex interplay of ATR’s kinase and structural roles in determining cellular fate. First, we investigated the structural role of prolyl isomerization of ATR across development by using mouse models of two isomerically locked forms of ATR which were previously shown to lock cytoplasmic ATR into a single isomer. Studies showed that ATR which is locked in ATR-L (trans-ATR, hATR-P429A/mATR-P432A) is embryonically lethal and that heterozygotes tend to have neurological and other developmental abnormalities. This contrasts with ATR-H (cis-ATR, hATR-S428A/mATR-S431A), which is viable, but naturally prone to cancer development. Next, we used various in vitro stroke-like conditions to test if ATR inhibition could serve as a therapeutic target for stroke. We found that ATR inhibition is protective in non-dividing neuron-like cells; whereas, it potentiates death in cycling glial and immune-like cycling cells. Thus, ATR inhibition could likely be a target for both neuron sparing and immunosuppressive anti-stroke therapeutic strategies. Taken together, these studies provide insightful information into the structural and pathological roles of ATR in development and disease.

An der Verarbeitung natürlicher Sprache durch computerbasierte Systeme wurde immer aktiv entwickelt und geforscht, um Aufgaben in den am weitesten verbreiteten Sprachen zu lösen. In dieser Arbeit werden verschiedene Ansätze zur Lösung von Problemen in diesem Bereich mittels künstlicher neuronaler Netze beschrieben. Dabei konzentriert sich diese Arbeit hauptsächlich auf modernere Architekturen wie Transformatoren oder BERT. Ziel dabei ist es, diese besser zu verstehen und herauszufinden, welche Vorteile sie gegenüber herkömmlichen künstlichen neuronalen Netzwerken haben. Anschließend wird dieses erlangte Wissen an einer Aufgabe aus dem Bereich der Verarbeitung natürlicher Sprache getestet, in welcher mittels einer sogenannten Named Entity Recognition (NER) spezielle Informationen aus Texten extrahiert werden.:1 Einleitung 1.1 Verarbeitung natürlicher Sprache (NLP) 1.2 Neuronale Netze 1.2.1 Biologischer Hintergrund 1.3 Aufbau der Arbeit 2 Grundlagen 2.1 Künstliche neuronale Netze 2.1.1 Arten des Lernens 2.1.2 Aktivierungsfunktionen 2.1.3 Verlustfunktionen 2.1.4 Optimierer 2.1.5 Über- und Unteranpassung 2.1.6 Explodierender und verschwindender Gradient 2.1.7 Optimierungsverfahren 3 Netzwerkarchitekturen zur Verarbeitung natürlicher Sprache 3.1 Rekurrente neuronale Netze (RNN) 3.1.1 Langes Kurzzeitgedächtnis (LSTM) 3.2 Autoencoder 3.3 Transformator 3.3.1 Worteinbettungen 3.3.2 Positionscodierung 3.3.3 Encoderblock 3.3.4 Decoderblock 3.3.5 Grenzen Transformatorarchitektur 3.4 Bidirektionale Encoder-Darstellungen von Transformatoren (BERT) 3.4.1 Vortraining 3.4.2 Feinabstimmung 4 Praktischer Teil und Ergebnisse 4.1 Aufgabe 4.2 Verwendete Bibliotheken, Programmiersprachen und Software 4.2.1 Python 4.2.2 NumPy 4.2.3 pandas 4.2.4 scikit-learn 4.2.5 Tensorflow 4.2.6 Keras 4.2.7 ktrain 4.2.8 Data Version Control (dvc) 4.2.9 FastAPI 4.2.10 Docker 4.2.11 Amazon Web Services 4.3 Daten 4.4 Netzwerkarchitektur 4.5 Training 4.6 Auswertung 4.7 Implementierung 5 Schlussbemerkungen 5.1 Zusammenfassung und Ausblick

Digital gespeicherte Daten erfreuen sich einer stetig steigenden Verwendung. Insbesondere die computerbasierte Kommunikation über E-Mail, SMS, Messenger usw. hat klassische Kommunikationsmittel nahezu vollständig verdrängt. Einen Mehrwert aus diesen Daten zu generieren, ist sowohl im geschäftlichen als auch im privaten Bereich von entscheidender Bedeutung. Eine Möglichkeit den Nutzer zu unterstützen ist es, seine textuellen Daten umfassend zu analysieren und bestimmte Elemente hervorzuheben und ihm die Erstellung von Einträgen für Kalender, Adressbuch und dergleichen abzunehmen bzw. zumindest vorzubereiten. Eine weitere Möglichkeit stellt die semantische Suche in den Daten des Nutzers dar. Selbst mit Volltextsuche muss man bisher den genauen Wortlaut kennen, wenn man eine bestimmte Information sucht. Durch ein tiefgreifendes Verständnis für Zeit ist es nun aber möglich, über einen Zeitstrahl alle mit einem bestimmten Zeitpunkt oder einer Zeitspanne verknüpften Daten zu finden. Es existieren bereits viele Ansätze um Named Entity Recognition voll- bzw. semi-automatisch durchzuführen, aber insbesondere Verfahren, welche weitgehend sprachunabhängig arbeiten und sich somit leicht auf viele Sprachen skalieren lassen, sind kaum publiziert. Um ein solches Verfahren für natürlichsprachige Zeitausdrücke zu verbessern, werden in dieser Arbeit, basierend auf umfangreichen Analysen, Möglichkeiten vorgestellt. Es wird speziell eine Strategie entwickelt, die auf einem Verfahren des maschinellen Lernens beruht und so den manuellen Aufwand für die Unterstützung neuer Sprachen reduziert. Diese und weitere Strategien wurden implementiert und in die bestehende Architektur der Zeiterkennungsmaschine der ExB-Gruppe integriert.