Dissertations / Theses on the topic 'ZNF318'
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Ke, Qi. "Negative Regulation of Host Innate Immune Signaling and Response Pathways by Viral and Host Regulatory Factors." University of Toledo / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1470185159.
Full textStrachan, Joanna. "Expression and interactions of the ubiquitin receptor ZNF216." Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/12707/.
Full textHahn, Stefanie. "Characterization of ZNF281 and its role in colorectal carcinogenesis." Diss., Ludwig-Maximilians-Universität München, 2014. http://nbn-resolving.de/urn:nbn:de:bvb:19-177446.
Full textNguyen, Thanh Nhan. "Deeper insights into the deleterious roles of ZNF217 in tumorigenesis and the identification of a novel and functional interplay between ZNF217 and ERalpha in breast cancer." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10331.
Full textZNF217 is a candidate oncogene encoding for a Krüppel-like transcription factor. This study aims at exploring deeper insights on deleterious roles of ZNF217 and the prognostic significance of ZNF217 expression in breast cancers. We found that: (i) high levels of ZNF217 expression (at both mRNA and protein levels) are associated with poor prognosis in breast cancer patients, more particularly in ER+/Luminal/Luminal A breast cancers; (ii) ZNF217 induces epithelial-mesenchymal transition (EMT) in human mammary epithelial cells via the TGF-beta-activated Smad signaling pathway; (iii) in vitro ZNF217 stimulates several aggressive phenotypes in breast cancer cells, including anchorage-independent growth, cell migration and invasion; (iv) ZNF217 stimulates tumor growth and promotes the development of metastases in vivo; (v) ZNF217 binds with ERalpha and enhances 17beta- estradiol (E2)-induced ERalpha transactivation by increasing the recruitment of ERalpha to estrogen-responsive elements (EREs); (vi) ZNF217 increases mammosphere formation in ER– or ER+ breast cancer cell lines; (vii) ZNF217 confers resistance to endocrine therapy (tamoxifen) in ER+ breast cancer cells, and (viii) high levels of ZNF217 expression are associated with shorter relapse-free survival (RFS) in breast cancer patients treated with endocrine therapy only. Our findings suggest that ZNF217 expression represents a novel and powerful prognostic biomarker in ER+/Luminal/Luminal A breast cancers, allowing the re-stratification of these “good prognosis” breast cancers, which are currently not further classified by any other biomarkers available. In conclusion, ZNF217 could be a potential therapeutic target for a personalized treatment strategy in patients overexpressing ZNF217, in particular in ER+/ZNF217+ patients
Mallin, Lucy Janet. "Understanding the relationship between IRF-1 and the transcriptional repressor ZNF350." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/15893.
Full textBellanger, Aurélie. "ZNF217, un rôle majeur dans le cancer du sein : un nouvel instigateur du développement de métastases ostéolytiques : isoforme ZNF217-ΔE4 : implication en cancérogénèse mammaire et valeur pronostique." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE1007.
Full textZNF217 is an oncogene encoding for a Krüppel-like transcription factor. Our aims were to explore the roles of the ZNF217 oncogene in the development of breast cancer metastases to the bone and to decipher the prognostic value and the functions of a new ZNF217 isoform. Our work identified that high ZNF217 mRNA expression levels within the primitive breast tumor could represent an indicator for future recurrence to the bone. Further in vitro experiment demonstrated that ZNF217 is a new activator of the BMP pathway and that the inhibition of this pathway could inhibit the metastatic properties of ZNF217-positive breast cancer cells in vitro (migration, invasion, chemotaxis to bone cells). In vivo in mice, ZNF217-positive breast cancer cells developed osteolytic metastases very faster. In our second axis, we have proven the existence of the ZNF217-?E4 isoform and we found that this isoform possesses a prognostic significance associated with a poor prognosis in ER-a+ breast cancer. Furthermore, cells overexpressing ZNF217-?E4 developed a more aggressive phenotype than cells overexpressing ZNF217-WT (proliferation, paclitaxel resistance). Interestingly, ZNF217-?E4 seems to play a regulatory role regarding ZNF217-WT expression. In conclusion, ZNF217 and/or the BMP pathway could represent potential therapeutical targets in the management of ZNF217 positive breast cancer
PIERACCIOLI, MARCO. "Functional role of the zinc finger factor ZNF281 in DNA damage response." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2015. http://hdl.handle.net/2108/203092.
Full textThe survival of organisms depends on the accurate transmission of genetic information from one cell to its daughters. Such faithful transmission requires not only extreme accuracy in replication of DNA and precision in chromosome distribution, but also the ability to survive spontaneous and induced DNA damage while minimizing the number of heritable mutations. Therefore, cells are constantly under threat from the cytotoxic and mutagenic effects of DNA damaging agents. To respond to these threats, eukaryotes have evolved the DNA damage response (DDR). The DDR is a complex array of different mechanisms that have the ability to sense DNA damage and transduce this information to the cell in order to modulate cellular responses to DNA damage. Cells possess several enzymatic tools capable of remodeling and repairing DNA; however, their activities must be tightly regulated in a temporal, spatial, and DNA lesion-appropriate fashion to optimize repair and prevent unnecessary and potentially deleterious alterations in the structure of DNA during normal cellular processes. During the past several years, considerable progress has been made in elucidating the components and the processes of the eukaryotic DDR. A central issue in this field, which remains to be understood in greater detail, is the identification of the controllers of the expression of DDR proteins. Interestingly, in recent years an increasing number of studies have revealed that several TFs regulate DNA repair directly and can function as integral components of the repair machinery itself in a transcription independent fashion. In fact, DNA damage-inducing insults (irradiation, chemotherapy drugs) promote translocation of some TFs directly to DNA lesions, where they actively facilitate DNA repair. ZNF281 is a zinc finger transcription factor involved in the control of cellular stemness and Epithelial Mesenchymal Transition (EMT). In this study we analyze the roles of ZNF281 during DDR. We report that ZNF281 expression increased after genotoxic stress caused by DNA damaging drugs (Etoposide, Doxorubicin, Camptothecin) in cancer cell lines, normal keratinocytes and in mouse skin in vivo. Comet assays demonstrated that DNA repair was delayed in cells silenced for the expression of ZNF281 and treated with Etoposide. Furthermore, RT profiler array analysis demonstrated that the expression of ten DDR genes was down-regulated in cells treated with Etoposide and silenced for ZNF281. In line with these findings, XRCC2 and XRCC4, two genes that take part in Homologous Recombination (HR) and Non Homologous End Joining (NHEJ) respectively, were transcriptionally activated by ZNF281 through a DNA binding-dependent mechanism as demonstrated by luciferase assays and Chromatin crosslinking ImmunoPrecipitation (ChIP) experiments. In addition, ZNF281 works as a c-Myc co-factor to stimulate the expression of nucleolin and cyclin B1; instead c-Myc, which also binds to the promoters of XRCC2 and XRCC4, was unable to promote their transcription or to modify ZNF281 activity. Bioinformatic analysis of 1971 breast cancer patients disclosed a significant correlation between the expression of ZNF281 and XRCC2. Moreover proteomic analysis and Proximity Ligation Assay (PLA) demonstrated that ZNF281 interacts with DNA-PK, an important protein of DDR, suggesting a transcription-independent role of ZNF281 in DDR. Our data highlight, for the first time, the involvement of ZNF281 in the cellular response to genotoxic stress through the control exercised on the expression of genes that act in different repair mechanisms and through interaction with with corecomponents of DNA repair pathways.
Ogo, Ogo Agbor. "Cellular responses to zinc involving the transcription factor ZNF658 and its target genes." Thesis, University of Newcastle upon Tyne, 2015. http://hdl.handle.net/10443/2752.
Full textHahn, Stefanie [Verfasser], and Heiko [Akademischer Betreuer] Hermeking. "Characterization of ZNF281 and its role in colorectal carcinogenesis / Stefanie Hahn. Betreuer: Heiko Hermeking." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2014. http://d-nb.info/1065610114/34.
Full textJordanovski, Darko [Verfasser], Thorsten [Akademischer Betreuer] Hoppe, and Herbert [Akademischer Betreuer] Pfister. "Posttranslationale Kontrolle des zellulären Transkriptionsfaktors PBF/ZNF395 / Darko Jordanovski. Gutachter: Thorsten Hoppe ; Herbert Pfister." Köln : Universitäts- und Stadtbibliothek Köln, 2012. http://d-nb.info/1038224853/34.
Full textYang, Yawei. "ZNF335: A Novel Regulator of Stem Cell Proliferation and Cell Fate in the Cerebral Cortex." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10682.
Full textStoddart, Karen Leigh. "Physical map covering 2.5 Mb distal to DXS6849 (ZNF21) in human Xp11.3-p11.23." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0017/MQ48077.pdf.
Full textHerwartz, Christine [Verfasser], Günter [Akademischer Betreuer] Plickert, and Herbert [Akademischer Betreuer] Pfister. "Charakterisierung des Transkriptionsfaktors ZNF395/PBF im Rahmen der angeborenen Immunantwort / Christine Herwartz. Gutachter: Günter Plickert ; Herbert Pfister." Köln : Universitäts- und Stadtbibliothek Köln, 2014. http://d-nb.info/1052993354/34.
Full textThollet, Aurélie. "Rôle de ZNF217, un nouvel oncogène dans le cancer du sein : rôle dans l'échappement tumoral et valeur pronostique." Phd thesis, Université Claude Bernard - Lyon I, 2011. http://tel.archives-ouvertes.fr/tel-00862607.
Full textThollet, Aurélie. "Rôle de ZNF217, un nouvel oncogène dans le cancer du sein : rôle dans l’échappement tumoral et valeur pronostique." Thesis, Lyon 1, 2011. http://www.theses.fr/2011LYO10326/document.
Full textZNF217, a new member of the Krüppel-like family, is a transcription factor which interacts with co-repressors and histone-modifying proteins suggesting that ZNF217 may be part of a transcriptional repressor complex. ZNF217 may be an oncogene but little is known about the functions that ZNF217 could play. The aim of this work is to study the role of ZNF217 in tumor escape and its prognostic value in breast cancer. We showed that ZNF217 is associated with (i) increased proliferation in vitro and tumoral growth in vivo, (ii) stimulation of cell invasion and migration (iii) induction of EMT via the TGF-β pathway. Moreover, ZNF217-overexpressed cells are resistant to paclitaxel and ZNF217-induced resistance is associated with deregulated expression of the Bcl-2 family members and Aurora-A. Finally, we showed for the first time that high ZNF217 mRNA level is a novel marker of poor prognosis in breast cancer and is associated with the developpement of metastasis. Thus, ZNF217 seems to be important in mammary cancerogenesis. Clinical strategies targeting either ZNF217 directly or targeting ZNF217 mediators (eg Aurora-A or TGF-β) could be used for the treatment of breast cancer with ZNF217 overexpression
Xu, Mei-en, and 許美恩. "A Study on the Effects of Customer Loyalty for e-Service." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/znf2t8.
Full text逢甲大學
國際貿易所
100
Over the past few years, e-services have become increasingly popular in mainstream society. To this end, most online business entrepreneurs seek out attractive marketing strategies to gain customer loyalty. Currently because of online marketing techniques, the internet has become a perfectly competitive market. Increased competition from internet business gives consumers increased choices and better service possibilities. When customers have many choices, combined with the convenience of internet buying, selling products becomes easier for those who want to operate e-services. Therefore, businesses strive to win customers’ loyalty. The purpose of this study is to examine the effects of perceived service quality, technology, fashion, and customer satisfaction on the customer’s loyalty for e-service in Taiwan. The data were collected by questionnaires given to Taiwanese people. Structural Equation Model (SEM) was used to analyze the data and reliability analysis was performed too to test the reliability of the study. The findings of this study show that independent variables affect customer’s loyalty for e-service in Taiwan.
Hsiao, Po-Wei, and 蕭伯瑋. "Deep Neural Networks and Ensemble Learning with Application to Speech Emotion Recognition." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/znfw28.
Full text國立中山大學
資訊工程學系研究所
106
This study uses deep neural networks to construct the static and dynamic speech emotion recognition systems and integrates the static and dynamic models by ensemble learning. The static model is based on multi-layer perceptron (MLP) and convolutional neural network (CNN). The dynamic model is based on recurrent neural network (RNN). Our CNN recognizer learns to focus on salient parts of signal by the attention mechanism, and promotes competition among a set of multi-scale convolutional filters by multi-scale convolution module. The RNN recognizer also incorporates the attention mechanism to learn to focus on the informative segments. We adopt a skew-robust training criterion to deal with unbalanced data. We also exploit a two-pass teacher-student training scheme to deal with the issue of noisy labels. The proposed speech emotion recognition systems are evaluated on the FAU-Aibo corpus, using the tasks as defined in the Interspeech 2009 Emotion Challenge classifier sub-challenge, with the performance measure of unweighted average recall rate (UA). Our MLP and CNN models achieve 46.2% and 46.4% UA respectively, and our dynamic model with deep RNN achieves 47.2% UA, surpassing the previous best mark of 46.4%. Further, an ensemble learning implemented by interpolation that combines the static and dynamic models achieves 50.5% UA, breaking the 50.0% barrier on the FAU-Aibo tasks for the first time since the Challenge is posted.
Meiboom, Maren [Verfasser]. "Molekulargenetische Charakterisierung der Bruchpunktregion 19q13.4 bei gutartigen follikulären Schilddrüsentumoren und Charakterisierung des Kandidaten-Gens ZNF331 / vorgelegt von Maren Meiboom." 2004. http://d-nb.info/975462830/34.
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