TY  - JOUR
A1  - Adrián-Martínez, S.
A1  - Ageron, M.
A1  - Aharonian, F.
A1  - Aiello, S.
A1  - Albert, A.
A1  - Ameli, F.
A1  - Annasontzis, E.
A1  - Andre, M.
A1  - Androulakis, G.
A1  - Anghinolfi, M.
A1  - Anton, G.
A1  - Ardid, M.
A1  - Avgitas, T.
A1  - Barbarino, G.
A1  - Baret, B.
A1  - Barrios-Martí, J.
A1  - Belhorma, B.
A1  - Belias, A.
A1  - Berbee, A.
A1  - van den Berg, A.
A1  - Bertin, V.
A1  - Beurthey, S.
A1  - van Beeveren, V.
A1  - Beverini, N.
A1  - Biagi, S.
A1  - Biagioni, A.
A1  - Billault, M.
A1  - Bondì, M.
A1  - Bormuth, R.
A1  - Bouhadef, B.
A1  - Bourlis, G.
A1  - Bourret, S.
A1  - Boutonnet, C.
A1  - Bouwhuis, M.
A1  - Bozza, C.
A1  - Bruijn, R.
A1  - Brunner, J.
A1  - Buis, E.
A1  - Busto, J.
A1  - Cacopardo, G.
A1  - Caillat, L.
A1  - Calmai, M.
A1  - Calvo, D.
A1  - Capone, A.
A1  - Caramete, L.
A1  - Cecchini, S.
A1  - Celli, S.
A1  - Champion, C.
A1  - Cherkaoui El Moursli, R.
A1  - Cherubini, S.
A1  - Chiarusi, T.
A1  - Circella, M.
A1  - Classen, L.
A1  - Cocimano, R.
A1  - Coelho, J. A. B.
A1  - Coleiro, A.
A1  - Colonges, S.
A1  - Coniglione, R.
A1  - Cordelli, M.
A1  - Cosquer, A.
A1  - Coyle, P.
A1  - Creusot, A.
A1  - Cuttone, G.
A1  - D'Amico, A.
A1  - De Bonis, G.
A1  - De Rosa, G.
A1  - De Sio, C.
A1  - Di Capua, F.
A1  - Di Palma, I.
A1  - Díaz García, A. F.
A1  - Distefano, C.
A1  - Donzaud, C.
A1  - Dornic, D.
A1  - Dorosti-Hasankiadeh, Q.
A1  - Drakopoulou, E.
A1  - Drouhin, D.
A1  - Drury, L.
A1  - Durocher, M.
A1  - Eberl, T.
A1  - Eichie, S.
A1  - van Eijk, D.
A1  - El Bojaddaini, I.
A1  - El Khayati, N.
A1  - Elsaesser, D.
A1  - Enzenhöfer, A.
A1  - Fassi, F.
A1  - Favali, P.
A1  - Fermani, P.
A1  - Ferrara, G.
A1  - Filippidis, C.
A1  - Frascadore, G.
A1  - Fusco, L. A.
A1  - Gal, T.
A1  - Galatà, S.
A1  - Garufi, F.
A1  - Gay, P.
A1  - Gebyehu, M.
A1  - Giordano, V.
A1  - Gizani, N.
A1  - Gracia, R.
A1  - Graf, K.
A1  - Grégoire, T.
A1  - Grella, G.
A1  - Habel, R.
A1  - Hallmann, S.
A1  - van Haren, H.
A1  - Harissopulos, S.
A1  - Heid, T.
A1  - Heijboer, A.
A1  - Heine, E.
A1  - Henry, S.
A1  - Hernández-Rey, J. J.
A1  - Hevinga, M.
A1  - Hofestädt, J.
A1  - Hugon, C. M. F.
A1  - Illuminati, G.
A1  - James, C. W.
A1  - Jansweijer, P.
A1  - Jongen, M.
A1  - de Jong, M.
A1  - Kadler, M.
A1  - Kalekin, O.
A1  - Kappes, A.
A1  - Katz, U. F.
A1  - Keller, P.
A1  - Kieft, G.
A1  - Kießling, D.
A1  - Koffeman, E. N.
A1  - Kooijman, P.
A1  - Kouchner, A.
A1  - Kulikovskiy, V.
A1  - Lahmann, R.
A1  - Lamare, P.
A1  - Leisos, A.
A1  - Leonora, E.
A1  - Lindsey Clark, M.
A1  - Liolios, A.
A1  - Llorenz Alvarez, C. D.
A1  - Lo Presti, D.
A1  - Löhner, H.
A1  - Lonardo, A.
A1  - Lotze, M.
A1  - Loucatos, S.
A1  - Maccioni, E.
A1  - Mannheim, K.
A1  - Margiotta, A.
A1  - Marinelli, A.
A1  - Mariş, O.
A1  - Markou, C.
A1  - Martínez-Mora, J. A.
A1  - Martini, A.
A1  - Mele, R.
A1  - Melis, K. W.
A1  - Michael, T.
A1  - Migliozzi, P.
A1  - Migneco, E.
A1  - Mijakowski, P.
A1  - Miraglia, A.
A1  - Mollo, C. M.
A1  - Mongelli, M.
A1  - Morganti, M.
A1  - Moussa, A.
A1  - Musico, P.
A1  - Musumeci, M.
A1  - Navas, S.
A1  - Nicoleau, C. A.
A1  - Olcina, I.
A1  - Olivetto, C.
A1  - Orlando, A.
A1  - Papaikonomou, A.
A1  - Papaleo, R.
A1  - Păvălaş, G. E.
A1  - Peek, H.
A1  - Pellegrino, C.
A1  - Perrina, C.
A1  - Pfutzner, M.
A1  - Piattelli, P.
A1  - Pikounis, K.
A1  - Poma, G. E.
A1  - Popa, V.
A1  - Pradier, T.
A1  - Pratolongo, F.
A1  - Pühlhofer, G.
A1  - Pulvirenti, S.
A1  - Quinn, L.
A1  - Racca, C.
A1  - Raffaelli, F.
A1  - Randazzo, N.
A1  - Rapidis, P.
A1  - Razis, P.
A1  - Real, D.
A1  - Resvanis, L.
A1  - Reubelt, J.
A1  - Riccobene, G.
A1  - Rossi, C.
A1  - Rovelli, A.
A1  - Saldaña, M.
A1  - Salvadori, I.
A1  - Samtleben, D. F. E.
A1  - Sánchez García, A.
A1  - Sánchez Losa, A.
A1  - Sanguineti, M.
A1  - Santangelo, A.
A1  - Santonocito, D.
A1  - Sapienza, P.
A1  - Schimmel, F.
A1  - Schmelling, J.
A1  - Sciacca, V.
A1  - Sedita, M.
A1  - Seitz, T.
A1  - Sgura, I.
A1  - Simeone, F.
A1  - Siotis, I.
A1  - Sipala, V.
A1  - Spisso, B.
A1  - Spurio, M.
A1  - Stavropoulos, G.
A1  - Steijger, J.
A1  - Stellacci, S. M.
A1  - Stransky, D.
A1  - Taiuti, M.
A1  - Tayalati, Y.
A1  - Tézier, D.
A1  - Theraube, S.
A1  - Thompson, L.
A1  - Timmer, P.
A1  - Tönnis, C.
A1  - Trasatti, L.
A1  - Trovato, A.
A1  - Tsirigotis, A.
A1  - Tzamarias, S.
A1  - Tzamariudaki, E.
A1  - Vallage, B.
A1  - Van Elewyk, V.
A1  - Vermeulen, J.
A1  - Vicini, P.
A1  - Viola, S.
A1  - Vivolo, D.
A1  - Volkert, M.
A1  - Voulgaris, G.
A1  - Wiggers, L.
A1  - Wilms, J.
A1  - de Wolf, E.
A1  - Zachariadou, K.
A1  - Zornoza, J. D.
A1  - Zúñiga, J.
T1  - Letter of intent for KM3NeT 2.0
JF  - Journal of Physics G-Nuclear and Particle Physics
N2  - The main objectives of the KM3NeT Collaboration are (i) the discovery and subsequent observation of high-energy neutrino sources in the Universe and (ii) the determination of the mass hierarchy of neutrinos. These objectives are strongly motivated by two recent important discoveries, namely: (1) the high-energy astrophysical neutrino signal reported by IceCube and (2) the sizable contribution of electron neutrinos to the third neutrino mass eigenstate as reported by Daya Bay, Reno and others. To meet these objectives, the KM3NeT Collaboration plans to build a new Research Infrastructure consisting of a network of deep-sea neutrino telescopes in the Mediterranean Sea. A phased and distributed implementation is pursued which maximises the access to regional funds, the availability of human resources and the synergistic opportunities for the Earth and sea sciences community. Three suitable deep-sea sites are selected, namely off-shore Toulon (France), Capo Passero (Sicily, Italy) and Pylos (Peloponnese, Greece). The infrastructure will consist of three so-called building blocks. A building block comprises 115 strings, each string comprises 18 optical modules and each optical module comprises 31 photo-multiplier tubes. Each building block thus constitutes a three-dimensional array of photo sensors that can be used to detect the Cherenkov light produced by relativistic particles emerging from neutrino interactions. Two building blocks will be sparsely configured to fully explore the IceCube signal with similar instrumented volume, different methodology, improved resolution and
KW  - neutrino astronomy
KW  - eutrino physics
KW  - deep sea neutrino telescope
KW  - neutrino mass hierarchy
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-188050
VL  - 43
IS  - 8
ER  - 
TY  - JOUR
A1  - Hudson, Lawrence N.
A1  - Newbold, Tim
A1  - Contu, Sara
A1  - Hill, Samantha L. L.
A1  - Lysenko, Igor
A1  - De Palma, Adriana
A1  - Phillips, Helen R. P.
A1  - Senior, Rebecca A.
A1  - Bennett, Dominic J.
A1  - Booth, Hollie
A1  - Choimes, Argyrios
A1  - Correia, David L. P.
A1  - Day, Julie
A1  - Echeverria-Londono, Susy
A1  - Garon, Morgan
A1  - Harrison, Michelle L. K.
A1  - Ingram, Daniel J.
A1  - Jung, Martin
A1  - Kemp, Victoria
A1  - Kirkpatrick, Lucinda
A1  - Martin, Callum D.
A1  - Pan, Yuan
A1  - White, Hannah J.
A1  - Aben, Job
A1  - Abrahamczyk, Stefan
A1  - Adum, Gilbert B.
A1  - Aguilar-Barquero, Virginia
A1  - Aizen, Marcelo
A1  - Ancrenaz, Marc
A1  - Arbelaez-Cortes, Enrique
A1  - Armbrecht, Inge
A1  - Azhar, Badrul
A1  - Azpiroz, Adrian B.
A1  - Baeten, Lander
A1  - Báldi, András
A1  - Banks, John E.
A1  - Barlow, Jos
A1  - Batáry, Péter
A1  - Bates, Adam J.
A1  - Bayne, Erin M.
A1  - Beja, Pedro
A1  - Berg, Ake
A1  - Berry, Nicholas J.
A1  - Bicknell, Jake E.
A1  - Bihn, Jochen H.
A1  - Böhning-Gaese, Katrin
A1  - Boekhout, Teun
A1  - Boutin, Celine
A1  - Bouyer, Jeremy
A1  - Brearley, Francis Q.
A1  - Brito, Isabel
A1  - Brunet, Jörg
A1  - Buczkowski, Grzegorz
A1  - Buscardo, Erika
A1  - Cabra-Garcia, Jimmy
A1  - Calvino-Cancela, Maria
A1  - Cameron, Sydney A.
A1  - Cancello, Eliana M.
A1  - Carrijo, Tiago F.
A1  - Carvalho, Anelena L.
A1  - Castro, Helena
A1  - Castro-Luna, Alejandro A.
A1  - Cerda, Rolando
A1  - Cerezo, Alexis
A1  - Chauvat, Matthieu
A1  - Clarke, Frank M.
A1  - Cleary, Daniel F. R.
A1  - Connop, Stuart P.
A1  - D'Aniello, Biagio
A1  - da Silva, Pedro Giovani
A1  - Darvill, Ben
A1  - Dauber, Jens
A1  - Dejean, Alain
A1  - Diekötter, Tim
A1  - Dominguez-Haydar, Yamileth
A1  - Dormann, Carsten F.
A1  - Dumont, Bertrand
A1  - Dures, Simon G.
A1  - Dynesius, Mats
A1  - Edenius, Lars
A1  - Elek, Zoltán
A1  - Entling, Martin H.
A1  - Farwig, Nina
A1  - Fayle, Tom M.
A1  - Felicioli, Antonio
A1  - Felton, Annika M.
A1  - Ficetola, Gentile F.
A1  - Filgueiras, Bruno K. C.
A1  - Fonte, Steve J.
A1  - Fraser, Lauchlan H.
A1  - Fukuda, Daisuke
A1  - Furlani, Dario
A1  - Ganzhorn, Jörg U.
A1  - Garden, Jenni G.
A1  - Gheler-Costa, Carla
A1  - Giordani, Paolo
A1  - Giordano, Simonetta
A1  - Gottschalk, Marco S.
A1  - Goulson, Dave
A1  - Gove, Aaron D.
A1  - Grogan, James
A1  - Hanley, Mick E.
A1  - Hanson, Thor
A1  - Hashim, Nor R.
A1  - Hawes, Joseph E.
A1  - Hébert, Christian
A1  - Helden, Alvin J.
A1  - Henden, John-André
A1  - Hernández, Lionel
A1  - Herzog, Felix
A1  - Higuera-Diaz, Diego
A1  - Hilje, Branko
A1  - Horgan, Finbarr G.
A1  - Horváth, Roland
A1  - Hylander, Kristoffer
A1  - Horváth, Roland
A1  - Isaacs-Cubides, Paola
A1  - Ishitani, Mashiro
A1  - Jacobs, Carmen T.
A1  - Jaramillo, Victor J.
A1  - Jauker, Birgit
A1  - Jonsell, Matts
A1  - Jung, Thomas S.
A1  - Kapoor, Vena
A1  - Kati, Vassiliki
A1  - Katovai, Eric
A1  - Kessler, Michael
A1  - Knop, Eva
A1  - Kolb, Annette
A1  - Körösi, Àdám
A1  - Lachat, Thibault
A1  - Lantschner, Victoria
A1  - Le Féon, Violette
A1  - LeBuhn, Gretchen
A1  - Légaré, Jean-Philippe
A1  - Letcher, Susan G.
A1  - Littlewood, Nick A.
A1  - López-Quintero, Carlos A.
A1  - Louhaichi, Mounir
A1  - Lövei, Gabor L.
A1  - Lucas-Borja, Manuel Esteban
A1  - Luja, Victor H.
A1  - Maeto, Kaoru
A1  - Magura, Tibor
A1  - Mallari, Neil Aldrin
A1  - Marin-Spiotta, Erika
A1  - Marhall, E. J. P.
A1  - Martínez, Eliana
A1  - Mayfield, Margaret M.
A1  - Mikusinski, Gregorz
A1  - Milder, Jeffery C.
A1  - Miller, James R.
A1  - Morales, Carolina L.
A1  - Muchane, Mary N.
A1  - Muchane, Muchai
A1  - Naidoo, Robin
A1  - Nakamura, Akihiro
A1  - Naoe, Shoji
A1  - Nates-Parra, Guiomar
A1  - Navarerete Gutierrez, Dario A.
A1  - Neuschulz, Eike L.
A1  - Noreika, Norbertas
A1  - Norfolk, Olivia
A1  - Noriega, Jorge Ari
A1  - Nöske, Nicole M.
A1  - O'Dea, Niall
A1  - Oduro, William
A1  - Ofori-Boateng, Caleb
A1  - Oke, Chris O.
A1  - Osgathorpe, Lynne M.
A1  - Paritsis, Juan
A1  - Parrah, Alejandro
A1  - Pelegrin, Nicolás
A1  - Peres, Carlos A.
A1  - Persson, Anna S.
A1  - Petanidou, Theodora
A1  - Phalan, Ben
A1  - Philips, T. Keith
A1  - Poveda, Katja
A1  - Power, Eileen F.
A1  - Presley, Steven J.
A1  - Proença, Vânia
A1  - Quaranta, Marino
A1  - Quintero, Carolina
A1  - Redpath-Downing, Nicola A.
A1  - Reid, J. Leighton
A1  - Reis, Yana T.
A1  - Ribeiro, Danilo B.
A1  - Richardson, Barbara A.
A1  - Richardson, Michael J.
A1  - Robles, Carolina A.
A1  - Römbke, Jörg
A1  - Romero-Duque, Luz Piedad
A1  - Rosselli, Loreta
A1  - Rossiter, Stephen J.
A1  - Roulston, T'ai H.
A1  - Rousseau, Laurent
A1  - Sadler, Jonathan P.
A1  - Sáfián, Szbolcs
A1  - Saldaña-Vásquez, Romeo A.
A1  - Samnegård, Ulrika
A1  - Schüepp, Christof
A1  - Schweiger, Oliver
A1  - Sedlock, Jodi L.
A1  - Shahabuddin, Ghazala
A1  - Sheil, Douglas
A1  - Silva, Fernando A. B.
A1  - Slade, Eleanor
A1  - Smith-Pardo, Allan H.
A1  - Sodhi, Navjot S.
A1  - Somarriba, Eduardo J.
A1  - Sosa, Ramón A.
A1  - Stout, Jane C.
A1  - Struebig, Matthew J.
A1  - Sung, Yik-Hei
A1  - Threlfall, Caragh G.
A1  - Tonietto, Rebecca
A1  - Tóthmérész, Béla
A1  - Tscharntke, Teja
A1  - Turner, Edgar C.
A1  - Tylianakis, Jason M.
A1  - Vanbergen, Adam J.
A1  - Vassilev, Kiril
A1  - Verboven, Hans A. F.
A1  - Vergara, Carlos H.
A1  - Vergara, Pablo M.
A1  - Verhulst, Jort
A1  - Walker, Tony R.
A1  - Wang, Yanping
A1  - Watling, James I.
A1  - Wells, Konstans
A1  - Williams, Christopher D.
A1  - Willig, Michael R.
A1  - Woinarski, John C. Z.
A1  - Wolf, Jan H. D.
A1  - Woodcock, Ben A.
A1  - Yu, Douglas W.
A1  - Zailsev, Andreys
A1  - Collen, Ben
A1  - Ewers, Rob M.
A1  - Mace, Georgina M.
A1  - Purves, Drew W.
A1  - Scharlemann, Jörn P. W.
A1  - Pervis, Andy
T1  - The PREDICTS database: a global database of how local terrestrial biodiversity responds to human impacts
JF  - Ecology and Evolution
N2  - Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - ). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
KW  - urban-rural gradient
KW  - instensively managed farmland
KW  - Mexican coffee plantations
KW  - Bombus Spp. Hymenoptera
KW  - bumblebee nest density
KW  - data sharing
KW  - land use
KW  - habitat destruction
KW  - global change
KW  - land-use change
KW  - plant community composition
KW  - Northeastern Costa Rica
KW  - dung beetle coleoptera
KW  - bird species richness
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114425
VL  - 4
IS  - 24
ER  - 
TY  - JOUR
A1  - Gessler, Florian
A1  - Lehmann, Felix
A1  - Bösel, Julian
A1  - Fuhrer, Hannah
A1  - Neugebauer, Hermann
A1  - Wartenberg, Katja E.
A1  - Wolf, Stefan
A1  - Bernstock, Joshua D.
A1  - Niesen, Wolf-Dirk
A1  - Schuss, Patrick
T1  - Triage and Allocation of Neurocritical Care Resources During the COVID 19 Pandemic - A National Survey
JF  - Frontiers in Neurology
N2  - Objective: In light of the ongoing COVID-19 pandemic and the associated hospitalization of an overwhelming number of ventilator-dependent patients, medical and/or ethical patient triage paradigms have become essential. While guidelines on the allocation of scarce resources do exist, such work within the subdisciplines of intensive care (e.g., neurocritical care) remains limited.
Methods: A 16-item questionnaire was developed that sought to explore/quantify the expert opinions of German neurointensivists with regard to triage decisions. The anonymous survey was conducted via a web-based platform and in total, 96 members of the Initiative of German Neurointensive Trial Engagement (IGNITE)-study group were contacted via e-mail. The IGNITE consortium consists of an interdisciplinary panel of specialists with expertise in neuro-critical care (i.e., anesthetists, neurologists and neurosurgeons).
Results: Fifty members of the IGNITE consortium responded to the questionnaire; in total the respondents were in charge of more than 500 Neuro ICU beds throughout Germany. Common determinants reported which affected triage decisions included known patient wishes (98%), the state of health before admission (96%), SOFA-score (85%) and patient age (69%). Interestingly, other principles of allocation, such as a treatment of “youngest first” (61%) and members of the healthcare sector (50%) were also noted. While these were the most accepted parameters affecting the triage of patients, a “first-come, first-served” principle appeared to be more accepted than a lottery for the allocation of ICU beds which contradicts much of what has been reported within the literature. The respondents also felt that at least one neurointensivist should serve on any interdisciplinary triage team.
Conclusions: The data gathered in the context of this survey reveal the estimation/perception of triage algorithms among neurointensive care specialists facing COVID-19. Further, it is apparent that German neurointensivists strongly feel that they should be involved in any triage decisions at an institutional level given the unique resources needed to treat patients within the Neuro ICU.
KW  - COVID-19
KW  - SARS-CoV
KW  - pandemic
KW  - patient triage
KW  - neurocritical care
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-221593
SN  - 1664-2295
VL  - 11
ER  - 
TY  - JOUR
A1  - Schülein-Völk, Christina
A1  - Wolf, Elmar
A1  - Zhu, Jing
A1  - Xu, Wenshan
A1  - Taranets, Lyudmyla
A1  - Hellmann, Andreas
A1  - Jänicke, Laura A.
A1  - Diefenbacher, Markus E.
A1  - Behrens, Axel
A1  - Eilers, Martin
A1  - Popov, Nikita
T1  - Dual Regulation of Fbw7 Function and Oncogenic Transformation by Usp28
JF  - CELL REPORTS
N2  - Fbw7, the substrate recognition subunit of SCF(Fbw7) ubiquitin ligase, mediates the turnover of multiple proto-oncoproteins and promotes its own degradation. Fbw7-dependent substrate ubiquitination is antagonized by the Usp28 deubiquitinase. Here, we show that Usp28 preferentially antagonizes autocatalytic ubiquitination and stabilizes Fbw7, resulting in dose-dependent effects in Usp28 knockout mice. Monoallelic deletion of Usp28 maintains stable Fbw7 but drives Fbw7 substrate degradation. In contrast, complete knockout triggers Fbw7 degradation and leads to the accumulation of Fbw7 substrates in several tissues and embryonic fibroblasts. On the other hand, overexpression of Usp28 stabilizes both Fbw7 and its substrates. Consequently, both complete loss and ectopic expression of Usp28 promote Ras-driven oncogenic transformation. We propose that dual regulation of Fbw7 activity by Usp28 is a safeguard mechanism for maintaining physiological levels of proto-oncogenic Fbw7 substrates, which is equivalently disrupted by loss or overexpression of Usp28.
KW  - Fbw7
KW  - oncogenic transformation
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-118219
SN  - 2211-1247
N1  - The sequencing data have been submitted to the GEO repository under accession number GSE59354.
VL  - 9
IS  - 3
ER  - 
TY  - JOUR
A1  - Schottdorf, Manuel
A1  - Keil, Wolfgang
A1  - Coppola, David
A1  - White, Leonard E.
A1  - Wolf, Fred
T1  - Random Wiring, Ganglion Cell Mosaics, and the Functional Architecture of the Visual Cortex
JF  - PLoS Computational Biology
N2  - The architecture of iso-orientation domains in the primary visual cortex (V1) of placental carnivores and primates apparently follows species invariant quantitative laws. Dynamical optimization models assuming that neurons coordinate their stimulus preferences throughout cortical circuits linking millions of cells specifically predict these invariants. This might indicate that V1's intrinsic connectome and its functional architecture adhere to a single optimization principle with high precision and robustness. To validate this hypothesis, it is critical to closely examine the quantitative predictions of alternative candidate theories. Random feedforward wiring within the retino-cortical pathway represents a conceptually appealing alternative to dynamical circuit optimization because random dimension-expanding projections are believed to generically exhibit computationally favorable properties for stimulus representations. Here, we ask whether the quantitative invariants of V1 architecture can be explained as a generic emergent property of random wiring. We generalize and examine the stochastic wiring model proposed by Ringach and coworkers, in which iso-orientation domains in the visual cortex arise through random feedforward connections between semi-regular mosaics of retinal ganglion cells (RGCs) and visual cortical neurons. We derive closed-form expressions for cortical receptive fields and domain layouts predicted by the model for perfectly hexagonal RGC mosaics. Including spatial disorder in the RGC positions considerably changes the domain layout properties as a function of disorder parameters such as position scatter and its correlations across the retina. However, independent of parameter choice, we find that the model predictions substantially deviate from the layout laws of iso-orientation domains observed experimentally. Considering random wiring with the currently most realistic model of RGC mosaic layouts, a pairwise interacting point process, the predicted layouts remain distinct from experimental observations and resemble Gaussian random fields. We conclude that V1 layout invariants are specific quantitative signatures of visual cortical optimization, which cannot be explained by generic random feedforward-wiring models.
KW  - placental mammal
KW  - simple receptive-fields
KW  - ocular dominance columns
KW  - lateral geniculate-nucleus
KW  - direction selectivity
KW  - tree shrew
KW  - orientation columns
KW  - K-PG radiation
KW  - monkey striate cortex
KW  - ancestor
KW  - cortical magnification factor
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-138879
VL  - 11
IS  - 11
ER  - 
TY  - JOUR
A1  - Muthalagu, Nathiya
A1  - Junttila, Melissa R.
A1  - Wiese, Kathrin E.
A1  - Wolf, Elmar
A1  - Morton, Jennifer
A1  - Bauer, Barbara
A1  - Evan, Gerard I.
A1  - Eilers, Martin
A1  - Murphy, Daniel J.
T1  - BIM Is the Primary Mediator of MYC-Induced Apoptosis in Multiple Solid Tissues
JF  - Cell Reports
N2  - MYC is one of the most frequently overexpressed oncogenes in human cancer, and even modestly deregulated MYC can initiate ectopic proliferation in many postmitotic cell types in vivo. Sensitization of cells to apoptosis limits MYC's oncogenic potential. However, the mechanism through which MYC induces apoptosis is controversial. Some studies implicate p19ARF-mediated stabilization of p53, followed by induction of proapoptotic BH3 proteins NOXA and PUMA, whereas others argue for direct regulation of BH3 proteins, especially BIM. Here, we use a single experimental system to systematically evaluate the roles of p19ARF and BIM during MYC-induced apoptosis, in vitro, in vivo, and in combination with a widely used chemotherapeutic, doxorubicin. We find a common specific requirement for BIM during MYC-induced apoptosis in multiple settings, which does not extend to the p53-responsive BH3 family member PUMA, and find no evidence of a role for p19ARF during MYC-induced apoptosis in the tissues examined.
KW  - ARF tumor-suppressor induced lymphomagenes
KW  - BCL-X-L P53
KW  - C-MYC PUMA
KW  - in-vivo expression
KW  - cell-cycle arrest cancer therapy
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-115370
VL  - 8
IS  - 5
ER  - 
TY  - JOUR
A1  - Gratwohl, A
A1  - Pfirrmann, M
A1  - Zander, A
A1  - Kröger, N
A1  - Beelen, D
A1  - Novotny, J
A1  - Nerl, C
A1  - Scheid, C
A1  - Spiekermann, K
A1  - Mayer, J
A1  - Sayer, HG
A1  - Falge, C
A1  - Bunjes, D
A1  - Döhner, H
A1  - Ganser, A
A1  - Schmidt-Wolf, I
A1  - Schwerdtfeger, R
A1  - Baurmann, H
A1  - Kuse, R
A1  - Schmitz, N
A1  - Wehmeier, A
A1  - Fischer, J Th
A1  - Ho, AD
A1  - Wilhelm, M
A1  - Goebeler, M-E
A1  - Lindemann, HW
A1  - Bormann, M
A1  - Hertenstein, B
A1  - Schlimok, G
A1  - Baerlocher, GM
A1  - Aul, C
A1  - Pfreundschuh, M
A1  - Fabian, M
A1  - Staib, P
A1  - Edinger, M
A1  - Schatz, M
A1  - Fauser, A
A1  - Arnold, R
A1  - Kindler, T
A1  - Wulf, G
A1  - Rosselet, A
A1  - Hellmann, A
A1  - Schäfer, E
A1  - Prümmer, O
A1  - Schenk, M
A1  - Hasford, J
A1  - Heimpel, H
A1  - Hossfeld, DK
A1  - Kolb, H-J
A1  - Büsche, G
A1  - Haferlach, C
A1  - Schnittger, S
A1  - Müller, MC
A1  - Reiter, A
A1  - Berger, U
A1  - Saußele, S
A1  - Hochhaus, A
A1  - Hehlmann, R
T1  - Long-term outcome of patients with newly diagnosed chronic myeloid leukemia: a randomized comparison of stem cell transplantation with drug treatment
JF  - Leukemia
N2  - Tyrosine kinase inhibitors represent today's treatment of choice in chronic myeloid leukemia (CML). Allogeneic hematopoietic stem cell transplantation (HSCT) is regarded as salvage therapy. This prospective randomized CML-study IIIA recruited 669 patients with newly diagnosed CML between July 1997 and January 2004 from 143 centers. Of these, 427 patients were considered eligible for HSCT and were randomized by availability of a matched family donor between primary HSCT (group A; N=166 patients) and best available drug treatment (group B; N=261). Primary end point was long-term survival. Survival probabilities were not different between groups A and B (10-year survival: 0.76 (95% confidence interval (CI): 0.69–0.82) vs 0.69 (95% CI: 0.61–0.76)), but influenced by disease and transplant risk. Patients with a low transplant risk showed superior survival compared with patients with high- (P<0.001) and non-high-risk disease (P=0.047) in group B; after entering blast crisis, survival was not different with or without HSCT. Significantly more patients in group A were in molecular remission (56% vs 39%; P = 0.005) and free of drug treatment (56% vs 6%; P<0.001). Differences in symptoms and Karnofsky score were not significant. In the era of tyrosine kinase inhibitors, HSCT remains a valid option when both disease and transplant risk are considered.
KW  - chronic myeloid leukemia
KW  - stem cell transplantation
KW  - drug treatment
KW  - CML
KW  - tyrosine kinase inhibitors
KW  - allogeneic hematopoietic stem cell transplantation
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-150368
VL  - 30
ER  - 
TY  - JOUR
A1  - Otto, C.
A1  - Schmidt, S.
A1  - Kastner, C.
A1  - Denk, S.
A1  - Kettler, J.
A1  - Müller, N.
A1  - Germer, C.T.
A1  - Wolf, E.
A1  - Gallant, P.
A1  - Wiegering, A.
T1  - Targeting bromodomain-containing protein 4 (BRD4) inhibits MYC expression in colorectal cancer cells
JF  - Neoplasia
N2  - The transcriptional regulator BRD4 has been shown to be important for the expression of several oncogenes including MYC. Inhibiting of BRD4 has broad antiproliferative activity in different cancer cell types. The small molecule JQ1 blocks the interaction of BRD4 with acetylated histones leading to transcriptional modulation. Depleting BRD4 via engineered bifunctional small molecules named PROTACs (proteolysis targeting chimeras) represents the next-generation approach to JQ1-mediated BRD4 inhibition. PROTACs trigger BRD4 for proteasomale degradation by recruiting E3 ligases. The aim of this study was therefore to validate the importance of BRD4 as a relevant target in colorectal cancer (CRC) cells and to compare the efficacy of BRD4 inhibition with BRD4 degradation on downregulating MYC expression. JQ1 induced a downregulation of both MYC mRNA and MYC protein associated with an antiproliferative phenotype in CRC cells. dBET1 and MZ1 induced degradation of BRD4 followed by a reduction in MYC expression and CRC cell proliferation. In SW480 cells, where dBET1 failed, we found significantly lower levels of the E3 ligase cereblon, which is essential for dBET1-induced BRD4 degradation. To gain mechanistic insight into the unresponsiveness to dBET1, we generated dBET1-resistant LS174t cells and found a strong downregulation of cereblon protein. These findings suggest that inhibition of BRD4 by JQ1 and degradation of BRD4 by dBET1 and MZ1 are powerful tools for reducing MYC expression and CRC cell proliferation. In addition, downregulation of cereblon may be an important mechanism for developing dBET1 resistance, which can be evaded by incubating dBET1-resistant cells with JQ1 or MZ1.
KW  - Cancer
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-202451
VL  - 21
IS  - 11
ER  - 
TY  - JOUR
A1  - Müller, Anna A.
A1  - Dolowschiak, Tamas
A1  - Sellin, Mikael E.
A1  - Felmy, Boas
A1  - Verbree, Carolin
A1  - Gadient, Sandra
A1  - Westermann, Alexander J.
A1  - Vogel, Jörg
A1  - LeibundGut-Landmann, Salome
A1  - Hardt, Wolf-Dietrich
T1  - An NK Cell Perforin Response Elicited via IL-18 Controls Mucosal Inflammation Kinetics during Salmonella Gut Infection
JF  - PLoS Pathogens
N2  - Salmonella Typhimurium (S.Tm) is a common cause of self-limiting diarrhea. The mucosal inflammation is thought to arise from a standoff between the pathogen's virulence factors and the host's mucosal innate immune defenses, particularly the mucosal NAIP/NLRC4 inflammasome. However, it had remained unclear how this switches the gut from homeostasis to inflammation. This was studied using the streptomycin mouse model. S.Tm infections in knockout mice, cytokine inhibition and –injection experiments revealed that caspase-1 (not -11) dependent IL-18 is pivotal for inducing acute inflammation. IL-18 boosted NK cell chemoattractants and enhanced the NK cells' migratory capacity, thus promoting mucosal accumulation of mature, activated NK cells. NK cell depletion and Prf\(^{-/-}\) ablation (but not granulocyte-depletion or T-cell deficiency) delayed tissue inflammation. Our data suggest an NK cell perforin response as one limiting factor in mounting gut mucosal inflammation. Thus, IL-18-elicited NK cell perforin responses seem to be critical for coordinating mucosal inflammation during early infection, when S.Tm strongly relies on virulence factors detectable by the inflammasome. This may have broad relevance for mucosal defense against microbial pathogens.
KW  - NK cells
KW  - Salmonella Typhimurium
KW  - mucosal inflammation
KW  - diarrhea
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167429
VL  - 12
IS  - 6
ER  - 
TY  - JOUR
A1  - Otto, Christoph
A1  - Kastner, Carolin
A1  - Schmidt, Stefanie
A1  - Uttinger, Konstantin
A1  - Baluapuri, Apoorva
A1  - Denk, Sarah
A1  - Rosenfeldt, Mathias T.
A1  - Rosenwald, Andreas
A1  - Roehrig, Florian
A1  - Ade, Carsten P.
A1  - Schuelein-Voelk, Christina
A1  - Diefenbacher, Markus E.
A1  - Germer, Christoph-Thomas
A1  - Wolf, Elmar
A1  - Eilers, Martin
A1  - Wiegering, Armin
T1  - RNA polymerase I inhibition induces terminal differentiation, growth arrest, and vulnerability to senolytics in colorectal cancer cells
JF  - Molecular Oncology
N2  - Ribosomal biogenesis and protein synthesis are deregulated in most cancers, suggesting that interfering with translation machinery may hold significant therapeutic potential. Here, we show that loss of the tumor suppressor adenomatous polyposis coli (APC), which constitutes the initiating event in the adenoma carcinoma sequence for colorectal cancer (CRC), induces the expression of RNA polymerase I (RNAPOL1) transcription machinery, and subsequently upregulates ribosomal DNA (rDNA) transcription. Targeting RNAPOL1 with a specific inhibitor, CX5461, disrupts nucleolar integrity, and induces a disbalance of ribosomal proteins. Surprisingly, CX5461-induced growth arrest is irreversible and exhibits features of senescence and terminal differentiation. Mechanistically, CX5461 promotes differentiation in an MYC-interacting zinc-finger protein 1 (MIZ1)- and retinoblastoma protein (Rb)-dependent manner. In addition, the inhibition of RNAPOL1 renders CRC cells vulnerable towards senolytic agents. We validated this therapeutic effect of CX5461 in murine- and patient-derived organoids, and in a xenograft mouse model. These results show that targeting ribosomal biogenesis together with targeting the consecutive, senescent phenotype using approved drugs is a new therapeutic approach, which can rapidly be transferred from bench to bedside.
KW  - CRC
KW  - CX5461
KW  - MIZ1
KW  - MYC
KW  - ribosome
KW  - RNAPOL1
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-312806
VL  - 16
IS  - 15
ER  - 
TY  - JOUR
A1  - Hartmann, Oliver
A1  - Reissland, Michaela
A1  - Maier, Carina R.
A1  - Fischer, Thomas
A1  - Prieto-Garcia, Cristian
A1  - Baluapuri, Apoorva
A1  - Schwarz, Jessica
A1  - Schmitz, Werner
A1  - Garrido-Rodriguez, Martin
A1  - Pahor, Nikolett
A1  - Davies, Clare C.
A1  - Bassermann, Florian
A1  - Orian, Amir
A1  - Wolf, Elmar
A1  - Schulze, Almut
A1  - Calzado, Marco A.
A1  - Rosenfeldt, Mathias T.
A1  - Diefenbacher, Markus E.
T1  - Implementation of CRISPR/Cas9 Genome Editing to Generate Murine Lung Cancer Models That Depict the Mutational Landscape of Human Disease
JF  - Frontiers in Cell and Developmental Biology
N2  - Lung cancer is the most common cancer worldwide and the leading cause of cancer-related deaths in both men and women. Despite the development of novel therapeutic interventions, the 5-year survival rate for non-small cell lung cancer (NSCLC) patients remains low, demonstrating the necessity for novel treatments. One strategy to improve translational research is the development of surrogate models reflecting somatic mutations identified in lung cancer patients as these impact treatment responses. With the advent of CRISPR-mediated genome editing, gene deletion as well as site-directed integration of point mutations enabled us to model human malignancies in more detail than ever before. Here, we report that by using CRISPR/Cas9-mediated targeting of Trp53 and KRas, we recapitulated the classic murine NSCLC model Trp53fl/fl:lsl-KRasG12D/wt. Developing tumors were indistinguishable from Trp53fl/fl:lsl-KRasG12D/wt-derived tumors with regard to morphology, marker expression, and transcriptional profiles. We demonstrate the applicability of CRISPR for tumor modeling in vivo and ameliorating the need to use conventional genetically engineered mouse models. Furthermore, tumor onset was not only achieved in constitutive Cas9 expression but also in wild-type animals via infection of lung epithelial cells with two discrete AAVs encoding different parts of the CRISPR machinery. While conventional mouse models require extensive husbandry to integrate new genetic features allowing for gene targeting, basic molecular methods suffice to inflict the desired genetic alterations in vivo. Utilizing the CRISPR toolbox, in vivo cancer research and modeling is rapidly evolving and enables researchers to swiftly develop new, clinically relevant surrogate models for translational research.
KW  - non-small cell lung cancer
KW  - CRISPR-Cas9
KW  - mouse model
KW  - lung cancer
KW  - MYC
KW  - JUN
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-230949
SN  - 2296-634X
VL  - 9
ER  - 
TY  - JOUR
A1  - Westermann, Alexander J.
A1  - Venturini, Elisa
A1  - Sellin, Mikael E.
A1  - Förstner, Konrad U.
A1  - Hardt, Wolf-Dietrich
A1  - Vogel, Jörg
T1  - The major RNA-binding protein ProQ impacts virulence gene expression in Salmonella enterica serovar Typhimurium
JF  - mBio
N2  - FinO domain proteins such as ProQ of the model pathogen Salmonella enterica have emerged as a new class of major RNA-binding proteins in bacteria. ProQ has been shown to target hundreds of transcripts, including mRNAs from many virulence regions, but its role, if any, in bacterial pathogenesis has not been studied. Here, using a Dual RNA-seq approach to profile ProQ-dependent gene expression changes as Salmonella infects human cells, we reveal dysregulation of bacterial motility, chemotaxis, and virulence genes which is accompanied by altered MAPK (mitogen-activated protein kinase) signaling in the host. Comparison with the other major RNA chaperone in Salmonella, Hfq, reinforces the notion that these two global RNA-binding proteins work in parallel to ensure full virulence. Of newly discovered infection-associated ProQ-bound small noncoding RNAs (sRNAs), we show that the 3′UTR-derived sRNA STnc540 is capable of repressing an infection-induced magnesium transporter mRNA in a ProQ-dependent manner. Together, this comprehensive study uncovers the relevance of ProQ for Salmonella pathogenesis and highlights the importance of RNA-binding proteins in regulating bacterial virulence programs.

IMPORTANCE 
The protein ProQ has recently been discovered as the centerpiece of a previously overlooked “third domain” of small RNA-mediated control of gene expression in bacteria. As in vitro work continues to reveal molecular mechanisms, it is also important to understand how ProQ affects the life cycle of bacterial pathogens as these pathogens infect eukaryotic cells. Here, we have determined how ProQ shapes Salmonella virulence and how the activities of this RNA-binding protein compare with those of Hfq, another central protein in RNA-based gene regulation in this and other bacteria. To this end, we apply global transcriptomics of pathogen and host cells during infection. In doing so, we reveal ProQ-dependent transcript changes in key virulence and host immune pathways. Moreover, we differentiate the roles of ProQ from those of Hfq during infection, for both coding and noncoding transcripts, and provide an important resource for those interested in ProQ-dependent small RNAs in enteric bacteria.
KW  - Hfq
KW  - noncoding RNA
KW  - ProQ
KW  - RNA-seq
KW  - bacterial pathogen
KW  - posttranscriptional control
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-177722
VL  - 10
IS  - 1
ER  - 
TY  - JOUR
A1  - Schmidt-Hieber, M.
A1  - Silling, G.
A1  - Schalk, E.
A1  - Heinz, W.
A1  - Panse, J.
A1  - Penack, O.
A1  - Christopeit, M.
A1  - Buchheidt, D.
A1  - Meyding-Lamadé, U.
A1  - Hähnel, S.
A1  - Wolf, H. H.
A1  - Ruhnke, M.
A1  - Schwartz, S.
A1  - Maschmeyer, G.
T1  - CNS infections in patients with hematological disorders (including allogeneic stem-cell transplantation)-Guidelines of the Infectious Diseases Working Party (AGIHO) of the German Society of Hematology and Medical Oncology (DGHO)
JF  - Annals of Oncology
N2  - Infections of the central nervous system (CNS) are infrequently diagnosed in immunocompetent patients, but they do occur in a significant proportion of patients with hematological disorders. In particular, patients undergoing allogeneic hematopoietic stem-cell transplantation carry a high risk for CNS infections of up to 15%. Fungi and Toxoplasma gondii are the predominant causative agents. The diagnosis of CNS infections is based on neuroimaging, cerebrospinal fluid examination and biopsy of suspicious lesions in selected patients. However, identification of CNS infections in immunocompromised patients could represent a major challenge since metabolic disturbances, side-effects of antineoplastic or immunosuppressive drugs and CNS involvement of the underlying hematological disorder may mimic symptoms of a CNS infection. The prognosis of CNS infections is generally poor in these patients, albeit the introduction of novel substances (e.g. voriconazole) has improved the outcome in distinct patient subgroups. This guideline has been developed by the Infectious Diseases Working Party (AGIHO) of the German Society of Hematology and Medical Oncology (DGHO) with the contribution of a panel of 14 experts certified in internal medicine, hematology/oncology, infectious diseases, intensive care, neurology and neuroradiology. Grades of recommendation and levels of evidence were categorized by using novel criteria, as recently published by the European Society of Clinical Microbiology and Infectious Diseases.
KW  - Central nervous system
KW  - Polymerase chain raction
KW  - Herpes simplex encephalitis
KW  - Invasive fungal-infections
KW  - Clinical practice guidelines
KW  - Liposomal amphotericin-B
KW  - Immunocompromised patient
KW  - Progressive multifocal leukoencephalopathy
KW  - Varicella-zoster-virus
KW  - Diagnosis
KW  - Treatment
KW  - Bone-marrow-transplantation
KW  - Real-time PCR
KW  - Guideline
KW  - Central nervous system infection
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-188210
VL  - 27
IS  - 7
ER  - 
TY  - JOUR
A1  - Gröbner, Susanne N.
A1  - Worst, Barbara C.
A1  - Weischenfeldt, Joachim
A1  - Buchhalter, Ivo
A1  - Kleinheinz, Kortine
A1  - Rudneva, Vasilisa A.
A1  - Johann, Pascal D.
A1  - Balasubramanian, Gnana Prakash
A1  - Segura-Wang, Maia
A1  - Brabetz, Sebastian
A1  - Bender, Sebastian
A1  - Hutter, Barbara
A1  - Sturm, Dominik
A1  - Pfaff, Elke
A1  - Hübschmann, Daniel
A1  - Zipprich, Gideon
A1  - Heinold, Michael
A1  - Eils, Jürgen
A1  - Lawerenz, Christian
A1  - Erkek, Serap
A1  - Lambo, Sander
A1  - Waszak, Sebastian
A1  - Blattmann, Claudia
A1  - Borkhardt, Arndt
A1  - Kuhlen, Michaela
A1  - Eggert, Angelika
A1  - Fulda, Simone
A1  - Gessler, Manfred
A1  - Wegert, Jenny
A1  - Kappler, Roland
A1  - Baumhoer, Daniel
A1  - Stefan, Burdach
A1  - Kirschner-Schwabe, Renate
A1  - Kontny, Udo
A1  - Kulozik, Andreas E.
A1  - Lohmann, Dietmar
A1  - Hettmer, Simone
A1  - Eckert, Cornelia
A1  - Bielack, Stefan
A1  - Nathrath, Michaela
A1  - Niemeyer, Charlotte
A1  - Richter, Günther H.
A1  - Schulte, Johannes
A1  - Siebert, Reiner
A1  - Westermann, Frank
A1  - Molenaar, Jan J.
A1  - Vassal, Gilles
A1  - Witt, Hendrik
A1  - Burkhardt, Birgit
A1  - Kratz, Christian P.
A1  - Witt, Olaf
A1  - van Tilburg, Cornelis M.
A1  - Kramm, Christof M.
A1  - Fleischhack, Gudrun
A1  - Dirksen, Uta
A1  - Rutkowski, Stefan
A1  - Frühwald, Michael
A1  - Hoff, Katja von
A1  - Wolf, Stephan
A1  - Klingebeil, Thomas
A1  - Koscielniak, Ewa
A1  - Landgraf, Pablo
A1  - Koster, Jan
A1  - Resnick, Adam C.
A1  - Zhang, Jinghui
A1  - Liu, Yanling
A1  - Zhou, Xin
A1  - Waanders, Angela J.
A1  - Zwijnenburg, Danny A.
A1  - Raman, Pichai
A1  - Brors, Benedikt
A1  - Weber, Ursula D.
A1  - Northcott, Paul A.
A1  - Pajtler, Kristian W.
A1  - Kool, Marcel
A1  - Piro, Rosario M.
A1  - Korbel, Jan O.
A1  - Schlesner, Matthias
A1  - Eils, Roland
A1  - Jones, David T. W.
A1  - Lichter, Peter
A1  - Chavez, Lukas
A1  - Zapatka, Marc
A1  - Pfister, Stefan M.
T1  - The landscape of genomic alterations across childhood cancers
JF  - Nature
N2  - Pan-cancer analyses that examine commonalities and differences among various cancer types have emerged as a powerful way to obtain novel insights into cancer biology. Here we present a comprehensive analysis of genetic alterations in a pan-cancer cohort including 961 tumours from children, adolescents, and young adults, comprising 24 distinct molecular types of cancer. Using a standardized workflow, we identified marked differences in terms of mutation frequency and significantly mutated genes in comparison to previously analysed adult cancers. Genetic alterations in 149 putative cancer driver genes separate the tumours into two classes: small mutation and structural/copy-number variant (correlating with germline variants). Structural variants, hyperdiploidy, and chromothripsis are linked to TP53 mutation status and mutational signatures. Our data suggest that 7–8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials.
KW  - cancer genomics
KW  - oncogenesis
KW  - paediatric cancer
KW  - predictive markers
KW  - translational research
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229579
VL  - 555
ER  -