@phdthesis{Schaefer2012,
  author    = {Sch{\"a}fer, Barbara},
  title     = {Untersuchungen zur Regulation der Invertaseaktivit{\"a}t und zu Invertaseinhibitoren aus Pflanzenextrakten},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-71469},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2012},
  abstract  = {Die Spaltung verschiedener Zuckerverbindungen ist ein elementarer Vorgang in allen Lebewesen. Im Rahmen dieser Arbeit wurden Enzyme untersucht, die Saccharose, einen wichtigen Energietr{\"a}ger und Botenstoff, in Fructose und Glucose spalten. Sie liefert einen umfassenden {\"U}berblick saccharosespaltender Enzyme und deren Inhibitoren, der erstmals die Gebiete der β-Fructofuranosidasen und der α-Glucosidasen vereinigt. Invertasen (β-Fructofuranosidasen, Abspaltung der Fructose) spielen eine zentrale Rolle im Metabolismus der Pflanzen und werden auf vielf{\"a}ltige Art und Weise reguliert. Im Rahmen dieser Arbeit wurden Ver{\"a}nderungen in der Aktivit{\"a}t durch verschiedene Einfl{\"u}sse in vitro untersucht. Dabei konnte gezeigt werden, dass die Temperaturoptima der Invertasen erstaunlich hoch liegen. Das Verhalten der getesteten alkalischen / neutralen Invertase aus Lolium temulentum unterschied sich bei vielen Tests von dem der anderen eingesetzten Invertasen. Auch in Tieren bzw. im Menschen sind saccharosespaltende Enzyme, hier bezeichnet als Sucrasen bzw. α-Glucosidasen (Abspaltung der Glucose), an vielen wichtigen Vorg{\"a}ngen beteiligt, etwa der Glykosilierung von Proteinen oder der Verdauung. Die humane Sucrase-Isomaltase aus dem D{\"u}nndarm ist ein Target in der Diabetestherapie. Erstmals konnte die humane Sucrase als aktive Untereinheit in der Hefe Pichia pastoris exprimiert werden. Neben den Enzymen selbst wurden das Wirkspektrum und die Wirkst{\"a}rke verschiedener Inhibitoren untersucht. Dabei konnte festgestellt werden, dass Acarbose, ein Pseudotetrasaccharid, das in der Diabetestherapie verwendet wird, auch pflanzliche Invertasen hemmt. Die in ihrer Struktur zueinander sehr {\"a}hnlichen Iminozucker DMDP, Miglitol und Calystegin B2 unterschieden sich erheblich in ihrer Hemmaktivit{\"a}t. DMDP ist dabei am potentesten, Miglitol f{\"u}hrt teilweise zu einer erh{\"o}hten Invertaseaktivit{\"a}t und Calystegin B2 verf{\"u}gt nur {\"u}ber ein beschr{\"a}nktes Hemmspektrum. Pflanzliche proteinogene Invertaseinhibitoren hemmten auch die humane Sucrase und die Hefeinvertase; wurden die Inhibitorproteine in P. pastoris exprimiert und dabei glykosiliert, hatten sie keine Hemmaktivit{\"a}t. Als einziger Inhibitor zeigte Miglitol der getesteten alkalischen / neutralen Invertase gegen{\"u}ber ein Verhalten, das als selektiv bezeichnet werden kann, da die Hemmung mit Konzentrationen, die um den Faktor 1000 niedriger waren als bei anderen Invertasen, eintrat. F{\"u}r die Suche nach neuen Inhibitoren wurden ein Screening und eine Literaturrecherche zum Thema Pflanzen in der Diabetestherapie bzw. pflanzliche Glucosidasehemmstoffe durchgef{\"u}hrt. Die Literaturrecherche weist darauf hin, dass eine große Anzahl an Pflanzen potentielle Wirkstoffe beinhalten k{\"o}nnte. Das Screening nach neuen Hemmstoffen wurde gr{\"o}ßtenteils mit Pflanzenextrakten aus der Traditionellen Chinesischen Medizin durchgef{\"u}hrt. Dabei wurden hemmende Extrakte entdeckt, die weiter auf ihre aktiven Komponenten hin untersucht werden sollten.},
  subject      = {Invertase},
  language  = {de}
}
@article{DonatRotherSchaeferetal.2014,
  author    = {Donat, Ulrike and Rother, Juliane and Sch{\"a}fer, Simon and Hess, Michael and H{\"a}rtl, Barbara and Kober, Christina and Langbein-Laugwitz, Johanna and Stritzker, Jochen and Chen, Nanhai G. and Aguilar, Richard J. and Weibel, Stephanie and Szalay, Alandar A.},
  title     = {Characterization of Metastasis Formation and Virotherapy in the Human C33A Cervical Cancer Model},
  series = {PLoS ONE},
  volume    = {9},
  journal   = {PLoS ONE},
  number    = {6},
  issn      = {1932-6203},
  doi       = {10.1371/journal.pone.0098533},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-119674},
  pages     = {e98533},
  year      = {2014},
  abstract  = {More than 90\% of cancer mortalities are due to cancer that has metastasized. Therefore, it is crucial to intensify research on metastasis formation and therapy. Here, we describe for the first time the metastasizing ability of the human cervical cancer cell line C33A in athymic nude mice after subcutaneous implantation of tumor cells. In this model, we demonstrated a steady progression of lumbar and renal lymph node metastases during tumor development. Besides predominantly occurring lymphatic metastases, we visualized the formation of hematogenous metastases utilizing red fluorescent protein (RFP) expressing C33A-RFP cells. RFP positive cancer cells were found migrating in blood vessels and forming micrometastases in lungs of tumor-bearing mice. Next, we set out to analyze the influence of oncolytic virotherapy in the C33A-RFP model and demonstrated an efficient virus-mediated reduction of tumor size and metastatic burden. These results suggest the C33A-RFP cervical cancer model as a new platform to analyze cancer metastases as well as to test novel treatment options to combat metastases.},
  language  = {en}
}
@article{AntoniouKuchenbaeckerSoucyetal.2012,
  author    = {Antoniou, Antonis C. and Kuchenbaecker, Karoline B. and Soucy, Penny and Beesley, Jonathan and Chen, Xiaoqing and McGuffog, Lesley and Lee, Andrew and Barrowdale, Daniel and Healey, Sue and Sinilnikova, Olga M. and Caligo, Maria A. and Loman, Niklas and Harbst, Katja and Lindblom, Annika and Arver, Brita and Rosenquist, Richard and Karlsson, Per and Nathanson, Kate and Domchek, Susan and Rebbeck, Tim and Jakubowska, Anna and Lubinski, Jan and Jaworska, Katarzyna and Durda, Katarzyna and Zlowowcka-Perłowska, Elżbieta and Osorio, Ana and Dur{\´a}n, Mercedes and Andr{\´e}s, Raquel and Ben{\´i}tez, Javier and Hamann, Ute and Hogervorst, Frans B. and van Os, Theo A. and Verhoef, Senno and Meijers-Heijboer, Hanne E. J. and Wijnen, Juul and Garcia, Encarna B. G{\´o}mez and Ligtenberg, Marjolijn J. and Kriege, Mieke and Coll{\´e}e, Margriet and Ausems, Margreet G. E. M. and Oosterwijk, Jan C. and Peock, Susan and Frost, Debra and Ellis, Steve D. and Platte, Radka and Fineberg, Elena and Evans, D. Gareth and Lalloo, Fiona and Jacobs, Chris and Eeles, Ros and Adlard, Julian and Davidson, Rosemarie and Cole, Trevor and Cook, Jackie and Paterson, Joan and Douglas, Fiona and Brewer, Carole and Hodgson, Shirley and Morrison, Patrick J. and Walker, Lisa and Rogers, Mark T. and Donaldson, Alan and Dorkins, Huw and Godwin, Andrew K. and Bove, Betsy and Stoppa-Lyonnet, Dominique and Houdayer, Claude and Buecher, Bruno and de Pauw, Antoine and Mazoyer, Sylvie and Calender, Alain and L{\´e}on{\´e}, M{\´e}lanie and Bressac-de Paillerets, Brigitte and Caron, Olivier and Sobol, Hagay and Frenay, Marc and Prieur, Fabienne and Ferrer, Sandra Fert and Mortemousque, Isabelle and Buys, Saundra and Daly, Mary and Miron, Alexander and Terry, Mary Beth and Hopper, John L. and John, Esther M. and Southey, Melissa and Goldgar, David and Singer, Christian F. and Fink-Retter, Anneliese and Muy-Kheng, Tea and Geschwantler Kaulich, Daphne and Hansen, Thomas V. O. and Nielsen, Finn C. and Barkardottir, Rosa B. and Gaudet, Mia and Kirchhoff, Tomas and Joseph, Vijai and Dutra-Clarke, Ana and Offit, Kenneth and Piedmonte, Marion and Kirk, Judy and Cohn, David and Hurteau, Jean and Byron, John and Fiorica, James and Toland, Amanda E. and Montagna, Marco and Oliani, Cristina and Imyanitov, Evgeny and Isaacs, Claudine and Tihomirova, Laima and Blanco, Ignacio and Lazaro, Conxi and Teul{\´e}, Alex and Del Valle, J. and Gayther, Simon A. and Odunsi, Kunle and Gross, Jenny and Karlan, Beth Y. and Olah, Edith and Teo, Soo-Hwang and Ganz, Patricia A. and Beattie, Mary S. and Dorfling, Cecelia M. and Jansen van Rensburg, Elizabeth and Diez, Orland and Kwong, Ava and Schmutzler, Rita K. and Wappenschmidt, Barbara and Engel, Christoph and Meindl, Alfons and Ditsch, Nina and Arnold, Norbert and Heidemann, Simone and Niederacher, Dieter and Preisler-Adams, Sabine and Gadzicki, Dorothea and Varon-Mateeva, Raymonda and Deissler, Helmut and Gehrig, Andrea and Sutter, Christian and Kast, Karin and Fiebig, Britta and Sch{\"a}fer, Dieter and Caldes, Trinidad and de la Hoya, Miguel and Nevanlinna, Heli and Muranen, Taru A. and Lesp{\´e}rance, Bernard and Spurdle, Amanda B. and Neuhausen, Susan L. and Ding, Yuan C. and Wang, Xianshu and Fredericksen, Zachary and Pankratz, Vernon S. and Lindor, Noralane M. and Peterlongo, Paulo and Manoukian, Siranoush and Peissel, Bernard and Zaffaroni, Daniela and Bonanni, Bernardo and Bernard, Loris and Dolcetti, Riccardo and Papi, Laura and Ottini, Laura and Radice, Paolo and Greene, Mark H. and Loud, Jennifer T. and Andrulis, Irene L. and Ozcelik, Hilmi and Mulligan, Anna Marie and Glendon, Gord and Thomassen, Mads and Gerdes, Anne-Marie and Jensen, Uffe B. and Skytte, Anne-Bine and Kruse, Torben A. and Chenevix-Trench, Georgia and Couch, Fergus J. and Simard, Jacques and Easton, Douglas F.},
  title     = {Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers},
  series = {Breast Cancer Research},
  volume    = {14},
  journal   = {Breast Cancer Research},
  number    = {R33},
  organization    = {CIMBA; SWE-BRCA; HEBON; EMBRACE; GEMO Study Collaborators; kConFab Investigators},
  doi       = {10.1186/bcr3121},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-130449},
  year      = {2012},
  abstract  = {Introduction: Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B), rs10995190 (ZNF365), rs704010 (ZMIZ1), rs2380205 (10p15), rs614367 (11q13), rs1292011 (12q24), rs10771399 (12p11 near PTHLH) and rs865686 (9q31.2). Methods: To evaluate whether these single nucleotide polymorphisms (SNPs) are associated with breast cancer risk for BRCA1 and BRCA2 carriers, we genotyped these SNPs in 12,599 BRCA1 and 7,132 BRCA2 mutation carriers and analysed the associations with breast cancer risk within a retrospective likelihood framework. Results: Only SNP rs10771399 near PTHLH was associated with breast cancer risk for BRCA1 mutation carriers (per-allele hazard ratio (HR) = 0.87, 95\% CI: 0.81 to 0.94, P-trend = 3 x 10\(^{-4}\)). The association was restricted to mutations proven or predicted to lead to absence of protein expression (HR = 0.82, 95\% CI: 0.74 to 0.90, P-trend = 3.1 x 10\(^{-5}\), P-difference = 0.03). Four SNPs were associated with the risk of breast cancer for BRCA2 mutation carriers: rs10995190, P-trend = 0.015; rs1011970, P-trend = 0.048; rs865686, 2df P = 0.007; rs1292011 2df P = 0.03. rs10771399 (PTHLH) was predominantly associated with estrogen receptor (ER)-negative breast cancer for BRCA1 mutation carriers (HR = 0.81, 95\% CI: 0.74 to 0.90, P-trend = 4 x 10\(^{-5}\)) and there was marginal evidence of association with ER- negative breast cancer for BRCA2 mutation carriers (HR = 0.78, 95\% CI: 0.62 to 1.00, P-trend = 0.049). Conclusions: The present findings, in combination with previously identified modifiers of risk, will ultimately lead to more accurate risk prediction and an improved understanding of the disease etiology in BRCA1 and BRCA2 mutation carriers.},
  language  = {en}
}
@article{AlepeeBahinskiDaneshianetal.2014,
  author    = {Alepee, Natalie and Bahinski, Anthony and Daneshian, Mardas and De Weyer, Bart and Fritsche, Ellen and Goldberg, Alan and Hansmann, Jan and Hartung, Thomas and Haycock, John and Hogberg, Helena T. and Hoelting, Lisa and Kelm, Jens M. and Kadereit, Suzanne and McVey, Emily and Landsiedel, Robert and Leist, Marcel and L{\"u}bberstedt, Marc and Noor, Fozia and Pellevoisin, Christian and Petersohn, Dirk and Pfannenbecker, Uwe and Reisinger, Kerstin and Ramirez, Tzutzuy and Rothen-Rutishauser, Barbara and Sch{\"a}fer-Korting, Monika and Zeilinger, Katrin and Zurich, Marie-Gabriele},
  title     = {State-of-the-Art of 3D Cultures (Organs-on-a-Chip) in Safety Testing and Pathophysiology},
  series = {ALTEX - Alternatives to Animal Experimentation},
  volume    = {31},
  journal   = {ALTEX - Alternatives to Animal Experimentation},
  number    = {4},
  doi       = {2014; http://dx.doi.org/10.14573/altex1406111},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117826},
  pages     = {441-477},
  year      = {2014},
  abstract  = {Integrated approaches using different in vitro methods in combination with bioinformatics can (i) increase the success rate and speed of drug development; (ii) improve the accuracy of toxicological risk assessment; and (iii) increase our understanding of disease. Three-dimensional (3D) cell culture models are important building blocks of this strategy which has emerged during the last years. The majority of these models are organotypic, i.e., they aim to reproduce major functions of an organ or organ system. This implies in many cases that more than one cell type forms the 3D structure, and often matrix elements play an important role. This review summarizes the state of the art concerning commonalities of the different models. For instance, the theory of mass transport/metabolite exchange in 3D systems and the special analytical requirements for test endpoints in organotypic cultures are discussed in detail. In the next part, 3D model systems for selected organs liver, lung, skin, brain are presented and characterized in dedicated chapters. Also, 3D approaches to the modeling of tumors are presented and discussed. All chapters give a historical background, illustrate the large variety of approaches, and highlight up- and downsides as well as specific requirements. Moreover, they refer to the application in disease modeling, drug discovery and safety assessment. Finally, consensus recommendations indicate a roadmap for the successful implementation of 3D models in routine screening. It is expected that the use of such models will accelerate progress by reducing error rates and wrong predictions from compound testing.},
  language  = {en}
}