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  - Edgecock, T. R.
A1  - Caretta, O.
A1  - Davenne, T.
A1  - Densam, C.
A1  - Fitton, M.
A1  - Kelliher, D.
A1  - Loveridge, P.
A1  - Machida, S.
A1  - Prior, C.
A1  - Rogers, C.
A1  - Rooney, M.
A1  - Thomason, J.
A1  - Wilcox, D.
A1  - Wildner, E.
A1  - Efthymiopoulos, I.
A1  - Garoby, R.
A1  - Gilardoni, S.
A1  - Hansen, C.
A1  - Benedetto, E.
A1  - Jensen, E.
A1  - Kosmicki, A.
A1  - Martini, M.
A1  - Osborne, J.
A1  - Prior, G.
A1  - Stora, T.
A1  - Melo Mendonca, T.
A1  - Vlachoudis, V.
A1  - Waaijer, C.
A1  - Cupial, P.
A1  - Chancé, A.
A1  - Longhin, A.
A1  - Payet, J.
A1  - Zito, M.
A1  - Baussan, E.
A1  - Bobeth, C.
A1  - Bouquerel, E.
A1  - Dracos, M.
A1  - Gaudiot, G.
A1  - Lepers, B.
A1  - Osswald, F.
A1  - Poussot, P.
A1  - Vassilopoulos, N.
A1  - Wurtz, J.
A1  - Zeter, V.
A1  - Bielski, J.
A1  - Kozien, M.
A1  - Lacny, L.
A1  - Skoczen, B.
A1  - Szybinski, B.
A1  - Ustrycka, A.
A1  - Wroblewski, A.
A1  - Marie-Jeanne, M.
A1  - Balint, P.
A1  - Fourel, C.
A1  - Giraud, J.
A1  - Jacob, J.
A1  - Lamy, T.
A1  - Latrasse, L.
A1  - Sortais, P.
A1  - Thuillier, T.
A1  - Mitrofanov, S.
A1  - Loiselet, M.
A1  - Keutgen, Th.
A1  - Delbar, Th.
A1  - Debray, F.
A1  - Trophine, C.
A1  - Veys, S.
A1  - Daversin, C.
A1  - Zorin, V.
A1  - Izotov, I.
A1  - Skalyga, V.
A1  - Burt, G.
A1  - Dexter, A. C.
A1  - Kravchuk, V. L.
A1  - Marchi, T.
A1  - Cinausero, M.
A1  - Gramegna, F.
A1  - De Angelis, G.
A1  - Prete, G.
A1  - Collazuol, G.
A1  - Laveder, M.
A1  - Mazzocco, M.
A1  - Mezzetto, M.
A1  - Signorini, C.
A1  - Vardaci, E.
A1  - Di Nitto, A.
A1  - Brondi, A.
A1  - La Rana, G.
A1  - Migliozzi, P.
A1  - Moro, R.
A1  - Palladino, V.
A1  - Gelli, N.
A1  - Berkovits, D.
A1  - Hass, M.
A1  - Hirsh, T. Y.
A1  - Schuhmann, M.
A1  - Stahl, A.
A1  - Wehner, J.
A1  - Bross, A.
A1  - Kopp, J.
A1  - Neuffer, D.
A1  - Wands, R.
A1  - Bayes, R.
A1  - Laing, A.
A1  - Soler, P.
A1  - Agarwalla, S. K.
A1  - Cervera Villanueva, A.
A1  - Donini, A.
A1  - Ghosh, T.
A1  - Gómez Cadenas, J. J.
A1  - Hernández, P.
A1  - Martín-Albo, J.
A1  - Mena, O.
A1  - Burguet-Castell, J.
A1  - Agostino, L.
A1  - Buizza-Avanzini, M.
A1  - Marafini, M.
A1  - Patzak, T.
A1  - Tonazzo, A.
A1  - Duchesneau, D.
A1  - Mosca, L.
A1  - Bogomilov, M.
A1  - Karadzhov, Y.
A1  - Matev, R.
A1  - Tsenov, R.
A1  - Akhmedov, E.
A1  - Blennow, M.
A1  - Lindner, M.
A1  - Schwetz, T.
A1  - Fernández Martinez, E.
A1  - Maltoni, M.
A1  - Menéndez, J.
A1  - Giunti, C.
A1  - González García, M. C.
A1  - Salvado, J.
A1  - Coloma, P.
A1  - Huber, P.
A1  - Li, T.
A1  - López Pavón, J.
A1  - Orme, C.
A1  - Pascoli, S.
A1  - Meloni, D.
A1  - Tang, J.
A1  - Winter, W.
A1  - Ohlsson, T.
A1  - Zhang, H.
A1  - Scotto-Lavina, L.
A1  - Terranova, F.
A1  - Bonesini, M.
A1  - Tortora, L.
A1  - Alekou, A.
A1  - Aslaninejad, M.
A1  - Bontoiu, C.
A1  - Kurup, A.
A1  - Jenner, L. J.
A1  - Long, K.
A1  - Pasternak, J.
A1  - Pozimski, J.
A1  - Back, J. J.
A1  - Harrison, P.
A1  - Beard, K.
A1  - Bogacz, A.
A1  - Berg, J. S.
A1  - Stratakis, D.
A1  - Witte, H.
A1  - Snopok, P.
A1  - Bliss, N.
A1  - Cordwell, M.
A1  - Moss, A.
A1  - Pattalwar, S.
A1  - Apollonio, M.
T1  - High intensity neutrino oscillation facilities in Europe
JF  - Physical Review Special Topics-Accelerators and Beams
N2  - The EUROnu project has studied three possible options for future, high intensity neutrino oscillation facilities in Europe. The first is a Super Beam, in which the neutrinos come from the decay of pions created by bombarding targets with a 4 MW proton beam from the CERN High Power Superconducting Proton Linac. The far detector for this facility is the 500 kt MEMPHYS water Cherenkov, located in the Frejus tunnel. The second facility is the Neutrino Factory, in which the neutrinos come from the decay of mu(+) and mu(-) beams in a storage ring. The far detector in this case is a 100 kt magnetized iron neutrino detector at a baseline of 2000 km. The third option is a Beta Beam, in which the neutrinos come from the decay of beta emitting isotopes, in particular He-6 and Ne-18, also stored in a ring. The far detector is also the MEMPHYS detector in the Frejus tunnel. EUROnu has undertaken conceptual designs of these facilities and studied the performance of the detectors. Based on this, it has determined the physics reach of each facility, in particular for the measurement of CP violation in the lepton sector, and estimated the cost of construction. These have demonstrated that the best facility to build is the Neutrino Factory. However, if a powerful proton driver is constructed for another purpose or if the MEMPHYS detector is built for astroparticle physics, the Super Beam also becomes very attractive.
KW  - EMMA
KW  - beta-beam
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-126611
VL  - 16
IS  - 2
ER  - 
TY  - JOUR
A1  - Galluzzi, L.
A1  - Bravo-San Pedro, J. M.
A1  - Vitale, I.
A1  - Aaronson, S. A.
A1  - Abrams, J. M.
A1  - Adam, D.
A1  - Alnemri, E. S.
A1  - Altucci, L.
A1  - Andrews, D.
A1  - Annicchiarico-Petruzelli, M.
A1  - Baehrecke, E. H.
A1  - Bazan, N. G.
A1  - Bertrand, M. J.
A1  - Bianchi, K.
A1  - Blagosklonny, M. V.
A1  - Blomgren, K.
A1  - Borner, C.
A1  - Bredesen, D. E.
A1  - Brenner, C.
A1  - Campanella, M.
A1  - Candi, E.
A1  - Cecconi, F.
A1  - Chan, F. K.
A1  - Chandel, N. S.
A1  - Cheng, E. H.
A1  - Chipuk, J. E.
A1  - Cidlowski, J. A.
A1  - Ciechanover, A.
A1  - Dawson, T. M.
A1  - Dawson, V. L.
A1  - De Laurenzi, V.
A1  - De Maria, R.
A1  - Debatin, K. M.
A1  - Di Daniele, N.
A1  - Dixit, V. M.
A1  - Dynlacht, B. D.
A1  - El-Deiry, W. S.
A1  - Fimia, G. M.
A1  - Flavell, R. A.
A1  - Fulda, S.
A1  - Garrido, C.
A1  - Gougeon, M. L.
A1  - Green, D. R.
A1  - Gronemeyer, H.
A1  - Hajnoczky, G.
A1  - Hardwick, J. M.
A1  - Hengartner, M. O.
A1  - Ichijo, H.
A1  - Joseph, B.
A1  - Jost, P. J.
A1  - Kaufmann, T.
A1  - Kepp, O.
A1  - Klionsky, D. J.
A1  - Knight, R. A.
A1  - Kumar, S.
A1  - Lemasters, J. J.
A1  - Levine, B.
A1  - Linkermann, A.
A1  - Lipton, S. A.
A1  - Lockshin, R. A.
A1  - López-Otín, C.
A1  - Lugli, E.
A1  - Madeo, F.
A1  - Malorni, W.
A1  - Marine, J. C.
A1  - Martin, S. J.
A1  - Martinou, J. C.
A1  - Medema, J. P.
A1  - Meier, P.
A1  - Melino, S.
A1  - Mizushima, N.
A1  - Moll, U.
A1  - Muñoz-Pinedo, C.
A1  - Nuñez, G.
A1  - Oberst, A.
A1  - Panaretakis, T.
A1  - Penninger, J. M.
A1  - Peter, M. E.
A1  - Piacentini, M.
A1  - Pinton, P.
A1  - Prehn, J. H.
A1  - Puthalakath, H.
A1  - Rabinovich, G. A.
A1  - Ravichandran, K. S.
A1  - Rizzuto, R.
A1  - Rodrigues, C. M.
A1  - Rubinsztein, D. C.
A1  - Rudel, T.
A1  - Shi, Y.
A1  - Simon, H. U.
A1  - Stockwell, B. R.
A1  - Szabadkai, G.
A1  - Tait, S. W.
A1  - Tang, H. L.
A1  - Tavernarakis, N.
A1  - Tsujimoto, Y.
A1  - Vanden Berghe, T.
A1  - Vandenabeele, P.
A1  - Villunger, A.
A1  - Wagner, E. F.
A1  - Walczak, H.
A1  - White, E.
A1  - Wood, W. G.
A1  - Yuan, J.
A1  - Zakeri, Z.
A1  - Zhivotovsky, B.
A1  - Melino, G.
A1  - Kroemer, G.
T1  - Essential versus accessory aspects of cell death: recommendations of the NCCD 2015
JF  - Cell Death and Differentiation
N2  - Cells exposed to extreme physicochemical or mechanical stimuli die in an uncontrollable manner, as a result of their immediate structural breakdown. Such an unavoidable variant of cellular demise is generally referred to as 'accidental cell death' (ACD). In most settings, however, cell death is initiated by a genetically encoded apparatus, correlating with the fact that its course can be altered by pharmacologic or genetic interventions. 'Regulated cell death' (RCD) can occur as part of physiologic programs or can be activated once adaptive responses to perturbations of the extracellular or intracellular microenvironment fail. The biochemical phenomena that accompany RCD may be harnessed to classify it into a few subtypes, which often (but not always) exhibit stereotyped morphologic features. Nonetheless, efficiently inhibiting the processes that are commonly thought to cause RCD, such as the activation of executioner caspases in the course of apoptosis, does not exert true cytoprotective effects in the mammalian system, but simply alters the kinetics of cellular demise as it shifts its morphologic and biochemical correlates. Conversely, bona fide cytoprotection can be achieved by inhibiting the transduction of lethal signals in the early phases of the process, when adaptive responses are still operational. Thus, the mechanisms that truly execute RCD may be less understood, less inhibitable and perhaps more homogeneous than previously thought. Here, the Nomenclature Committee on Cell Death formulates a set of recommendations to help scientists and researchers to discriminate between essential and accessory aspects of cell death.
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-121207
VL  - 22
ER  - 
TY  - JOUR
A1  - Zaho, Huaying
A1  - Ghirlando, Rodolfo
A1  - Alfonso, Carlos
A1  - Arisaka, Fumio
A1  - Attali, Ilan
A1  - Bain, David L.
A1  - Bakhtina, Marina M.
A1  - Becker, Donald F.
A1  - Bedwell, Gregory J.
A1  - Bekdemir, Ahmet
A1  - Besong, Tabot M. D.
A1  - Birck, Catherine
A1  - Brautigam, Chad A.
A1  - Brennerman, William
A1  - Byron, Olwyn
A1  - Bzowska, Agnieszka
A1  - Chaires, Jonathan B.
A1  - Chaton, Catherine T.
A1  - Coelfen, Helmbut
A1  - Connaghan, Keith D.
A1  - Crowley, Kimberly A.
A1  - Curth, Ute
A1  - Daviter, Tina
A1  - Dean, William L.
A1  - Diez, Ana I.
A1  - Ebel, Christine
A1  - Eckert, Debra M.
A1  - Eisele, Leslie E.
A1  - Eisenstein, Edward
A1  - England, Patrick
A1  - Escalante, Carlos
A1  - Fagan, Jeffrey A.
A1  - Fairman, Robert
A1  - Finn, Ron M.
A1  - Fischle, Wolfgang
A1  - Garcia de la Torre, Jose
A1  - Gor, Jayesh
A1  - Gustafsson, Henning
A1  - Hall, Damien
A1  - Harding, Stephen E.
A1  - Hernandez Cifre, Jose G.
A1  - Herr, Andrew B.
A1  - Howell, Elizabeth E.
A1  - Isaac, Richard S.
A1  - Jao, Shu-Chuan
A1  - Jose, Davis
A1  - Kim, Soon-Jong
A1  - Kokona, Bashkim
A1  - Kornblatt, Jack A.
A1  - Kosek, Dalibor
A1  - Krayukhina, Elena
A1  - Krzizike, Daniel
A1  - Kusznir, Eric A.
A1  - Kwon, Hyewon
A1  - Larson, Adam
A1  - Laue, Thomas M.
A1  - Le Roy, Aline
A1  - Leech, Andrew P.
A1  - Lilie, Hauke
A1  - Luger, Karolin
A1  - Luque-Ortega, Juan R.
A1  - Ma, Jia
A1  - May, Carrie A.
A1  - Maynard, Ernest L.
A1  - Modrak-Wojcik, Anna
A1  - Mok, Yee-Foong
A1  - Mücke, Norbert
A1  - Nagel-Steger, Luitgard
A1  - Narlikar, Geeta J.
A1  - Noda, Masanori
A1  - Nourse, Amanda
A1  - Obsil, Thomas
A1  - Park, Chad K
A1  - Park, Jin-Ku
A1  - Pawelek, Peter D.
A1  - Perdue, Erby E.
A1  - Perkins, Stephen J.
A1  - Perugini, Matthew A.
A1  - Peterson, Craig L.
A1  - Peverelli, Martin G.
A1  - Piszczek, Grzegorz
A1  - Prag, Gali
A1  - Prevelige, Peter E.
A1  - Raynal, Bertrand D. E.
A1  - Rezabkova, Lenka
A1  - Richter, Klaus
A1  - Ringel, Alison E.
A1  - Rosenberg, Rose
A1  - Rowe, Arthur J.
A1  - Rufer, Arne C.
A1  - Scott, David J.
A1  - Seravalli, Javier G.
A1  - Solovyova, Alexandra S.
A1  - Song, Renjie
A1  - Staunton, David
A1  - Stoddard, Caitlin
A1  - Stott, Katherine
A1  - Strauss, Holder M.
A1  - Streicher, Werner W.
A1  - Sumida, John P.
A1  - Swygert, Sarah G.
A1  - Szczepanowski, Roman H.
A1  - Tessmer, Ingrid
A1  - Toth, Ronald T.
A1  - Tripathy, Ashutosh
A1  - Uchiyama, Susumu
A1  - Uebel, Stephan F. W.
A1  - Unzai, Satoru
A1  - Gruber, Anna Vitlin
A1  - von Hippel, Peter H.
A1  - Wandrey, Christine
A1  - Wang, Szu-Huan
A1  - Weitzel, Steven E
A1  - Wielgus-Kutrowska, Beata
A1  - Wolberger, Cynthia
A1  - Wolff, Martin
A1  - Wright, Edward
A1  - Wu, Yu-Sung
A1  - Wubben, Jacinta M.
A1  - Schuck, Peter
T1  - A Multilaboratory Comparison of Calibration Accuracy and the Performance of External References in Analytical Ultracentrifugation
JF  - PLoS ONE
N2  - Analytical ultracentrifugation (AUC) is a first principles based method to determine absolute sedimentation coefficients and buoyant molar masses of macromolecules and their complexes, reporting on their size and shape in free solution. The purpose of this multi-laboratory study was to establish the precision and accuracy of basic data dimensions in AUC and validate previously proposed calibration techniques. Three kits of AUC cell assemblies containing radial and temperature calibration tools and a bovine serum albumin (BSA) reference sample were shared among 67 laboratories, generating 129 comprehensive data sets. These allowed for an assessment of many parameters of instrument performance, including accuracy of the reported scan time after the start of centrifugation, the accuracy of the temperature calibration, and the accuracy of the radial magnification. The range of sedimentation coefficients obtained for BSA monomer in different instruments and using different optical systems was from 3.655 S to 4.949 S, with a mean and standard deviation of (4.304\(\pm\)0.188) S (4.4%). After the combined application of correction factors derived from the external calibration references for elapsed time, scan velocity, temperature, and radial magnification, the range of s-values was reduced 7-fold with a mean of 4.325 S and a 6-fold reduced standard deviation of \(\pm\)0.030 S (0.7%). In addition, the large data set provided an opportunity to determine the instrument-to-instrument variation of the absolute radial positions reported in the scan files, the precision of photometric or refractometric signal magnitudes, and the precision of the calculated apparent molar mass of BSA monomer and the fraction of BSA dimers. These results highlight the necessity and effectiveness of independent calibration of basic AUC data dimensions for reliable quantitative studies.
KW  - fluorescence-detected sedimentation
KW  - size exclusion chromatography
KW  - field flow fractionation
KW  - spinco ultracentrifuge
KW  - aggregation
KW  - bead models
KW  - velocity
KW  - hydrodynamics
KW  - biopharmaceuticals
KW  - proteins
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-151903
VL  - 10
IS  - 5
ER  - 
TY  - JOUR
A1  - Jiang, Yuxiang
A1  - Oron, Tal Ronnen
A1  - Clark, Wyatt T.
A1  - Bankapur, Asma R.
A1  - D'Andrea, Daniel
A1  - Lepore, Rosalba
A1  - Funk, Christopher S.
A1  - Kahanda, Indika
A1  - Verspoor, Karin M.
A1  - Ben-Hur, Asa
A1  - Koo, Da Chen Emily
A1  - Penfold-Brown, Duncan
A1  - Shasha, Dennis
A1  - Youngs, Noah
A1  - Bonneau, Richard
A1  - Lin, Alexandra
A1  - Sahraeian, Sayed M. E.
A1  - Martelli, Pier Luigi
A1  - Profiti, Giuseppe
A1  - Casadio, Rita
A1  - Cao, Renzhi
A1  - Zhong, Zhaolong
A1  - Cheng, Jianlin
A1  - Altenhoff, Adrian
A1  - Skunca, Nives
A1  - Dessimoz, Christophe
A1  - Dogan, Tunca
A1  - Hakala, Kai
A1  - Kaewphan, Suwisa
A1  - Mehryary, Farrokh
A1  - Salakoski, Tapio
A1  - Ginter, Filip
A1  - Fang, Hai
A1  - Smithers, Ben
A1  - Oates, Matt
A1  - Gough, Julian
A1  - Törönen, Petri
A1  - Koskinen, Patrik
A1  - Holm, Liisa
A1  - Chen, Ching-Tai
A1  - Hsu, Wen-Lian
A1  - Bryson, Kevin
A1  - Cozzetto, Domenico
A1  - Minneci, Federico
A1  - Jones, David T.
A1  - Chapman, Samuel
A1  - BKC, Dukka
A1  - Khan, Ishita K.
A1  - Kihara, Daisuke
A1  - Ofer, Dan
A1  - Rappoport, Nadav
A1  - Stern, Amos
A1  - Cibrian-Uhalte, Elena
A1  - Denny, Paul
A1  - Foulger, Rebecca E.
A1  - Hieta, Reija
A1  - Legge, Duncan
A1  - Lovering, Ruth C.
A1  - Magrane, Michele
A1  - Melidoni, Anna N.
A1  - Mutowo-Meullenet, Prudence
A1  - Pichler, Klemens
A1  - Shypitsyna, Aleksandra
A1  - Li, Biao
A1  - Zakeri, Pooya
A1  - ElShal, Sarah
A1  - Tranchevent, Léon-Charles
A1  - Das, Sayoni
A1  - Dawson, Natalie L.
A1  - Lee, David
A1  - Lees, Jonathan G.
A1  - Sillitoe, Ian
A1  - Bhat, Prajwal
A1  - Nepusz, Tamás
A1  - Romero, Alfonso E.
A1  - Sasidharan, Rajkumar
A1  - Yang, Haixuan
A1  - Paccanaro, Alberto
A1  - Gillis, Jesse
A1  - Sedeño-Cortés, Adriana E.
A1  - Pavlidis, Paul
A1  - Feng, Shou
A1  - Cejuela, Juan M.
A1  - Goldberg, Tatyana
A1  - Hamp, Tobias
A1  - Richter, Lothar
A1  - Salamov, Asaf
A1  - Gabaldon, Toni
A1  - Marcet-Houben, Marina
A1  - Supek, Fran
A1  - Gong, Qingtian
A1  - Ning, Wei
A1  - Zhou, Yuanpeng
A1  - Tian, Weidong
A1  - Falda, Marco
A1  - Fontana, Paolo
A1  - Lavezzo, Enrico
A1  - Toppo, Stefano
A1  - Ferrari, Carlo
A1  - Giollo, Manuel
A1  - Piovesan, Damiano
A1  - Tosatto, Silvio C. E.
A1  - del Pozo, Angela
A1  - Fernández, José M.
A1  - Maietta, Paolo
A1  - Valencia, Alfonso
A1  - Tress, Michael L.
A1  - Benso, Alfredo
A1  - Di Carlo, Stefano
A1  - Politano, Gianfranco
A1  - Savino, Alessandro
A1  - Rehman, Hafeez Ur
A1  - Re, Matteo
A1  - Mesiti, Marco
A1  - Valentini, Giorgio
A1  - Bargsten, Joachim W.
A1  - van Dijk, Aalt D. J.
A1  - Gemovic, Branislava
A1  - Glisic, Sanja
A1  - Perovic, Vladmir
A1  - Veljkovic, Veljko
A1  - Almeida-e-Silva, Danillo C.
A1  - Vencio, Ricardo Z. N.
A1  - Sharan, Malvika
A1  - Vogel, Jörg
A1  - Kansakar, Lakesh
A1  - Zhang, Shanshan
A1  - Vucetic, Slobodan
A1  - Wang, Zheng
A1  - Sternberg, Michael J. E.
A1  - Wass, Mark N.
A1  - Huntley, Rachael P.
A1  - Martin, Maria J.
A1  - O'Donovan, Claire
A1  - Robinson, Peter N.
A1  - Moreau, Yves
A1  - Tramontano, Anna
A1  - Babbitt, Patricia C.
A1  - Brenner, Steven E.
A1  - Linial, Michal
A1  - Orengo, Christine A.
A1  - Rost, Burkhard
A1  - Greene, Casey S.
A1  - Mooney, Sean D.
A1  - Friedberg, Iddo
A1  - Radivojac, Predrag
A1  - Veljkovic, Nevena
T1  - An expanded evaluation of protein function prediction methods shows an improvement in accuracy
JF  - Genome Biology
N2  - Background
A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging.

Results
We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2.

Conclusions
The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.
KW  - Protein function prediction
KW  - Disease gene prioritization
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166293
VL  - 17
IS  - 184
ER  - 
TY  - JOUR
A1  - Manchia, Mirko
A1  - Adli, Mazda
A1  - Akula, Nirmala
A1  - Arda, Raffaella
A1  - Aubry, Jean-Michel
A1  - Backlund, Lena
A1  - Banzato, Claudio E. M.
A1  - Baune, Bernhard T.
A1  - Bellivier, Frank
A1  - Bengesser, Susanne
A1  - Biernacka, Joanna M.
A1  - Brichant-Petitjean, Clara
A1  - Bui, Elise
A1  - Calkin, Cynthia V.
A1  - Cheng, Andrew Tai Ann
A1  - Chillotti, Caterina
A1  - Cichon, Sven
A1  - Clark, Scott
A1  - Czerski, Piotr M.
A1  - Dantas, Clarissa
A1  - Del Zompo, Maria
A1  - DePaulo, J. Raymond
A1  - Detera-Wadleigh, Sevilla D.
A1  - Etain, Bruno
A1  - Falkai, Peter
A1  - Frisén, Louise
A1  - Frye, Mark A.
A1  - Fullerton, Jan
A1  - Gard, Sébastien
A1  - Garnham, Julie
A1  - Goes, Fernando S.
A1  - Grof, Paul
A1  - Gruber, Oliver
A1  - Hashimoto, Ryota
A1  - Hauser, Joanna
A1  - Heilbronner, Urs
A1  - Hoban, Rebecca
A1  - Hou, Liping
A1  - Jamain, Stéphane
A1  - Kahn, Jean-Pierre
A1  - Kassem, Layla
A1  - Kato, Tadafumi
A1  - Kelsoe, John R.
A1  - Kittel-Schneider, Sarah
A1  - Kliwicki, Sebastian
A1  - Kuo, Po-Hsiu
A1  - Kusumi, Ichiro
A1  - Laje, Gonzalo
A1  - Lavebratt, Catharina
A1  - Leboyer, Marion
A1  - Leckband, Susan G.
A1  - López Jaramillo, Carlos A.
A1  - Maj, Mario
A1  - Malafosse, Alain
A1  - Martinsson, Lina
A1  - Masui, Takuya
A1  - Mitchell, Philip B.
A1  - Mondimore, Frank
A1  - Monteleone, Palmiero
A1  - Nallet, Audrey
A1  - Neuner, Maria
A1  - Novák, Tomás
A1  - O'Donovan, Claire
A1  - Ösby, Urban
A1  - Ozaki, Norio
A1  - Perlis, Roy H.
A1  - Pfennig, Andrea
A1  - Potash, James B.
A1  - Reich-Erkelenz, Daniela
A1  - Reif, Andreas
A1  - Reininghaus, Eva
A1  - Richardson, Sara
A1  - Rouleau, Guy A.
A1  - Rybakowski, Janusz K.
A1  - Schalling, Martin
A1  - Schofield, Peter R.
A1  - Schubert, Oliver K.
A1  - Schweizer, Barbara
A1  - Seemüller, Florian
A1  - Grigoroiu-Serbanescu, Maria
A1  - Severino, Giovanni
A1  - Seymour, Lisa R.
A1  - Slaney, Claire
A1  - Smoller, Jordan W.
A1  - Squassina, Alessio
A1  - Stamm, Thomas
A1  - Steele, Jo
A1  - Stopkova, Pavla
A1  - Tighe, Sarah K.
A1  - Tortorella, Alfonso
A1  - Turecki, Gustavo
A1  - Wray, Naomi R.
A1  - Wright, Adam
A1  - Zandi, Peter P.
A1  - Zilles, David
A1  - Bauer, Michael
A1  - Rietschel, Marcella
A1  - McMahon, Francis J.
A1  - Schulze, Thomas G.
A1  - Alda, Martin
T1  - Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report
JF  - PLoS ONE
N2  - Objective: The assessment of response to lithium maintenance treatment in bipolar disorder (BD) is complicated by variable length of treatment, unpredictable clinical course, and often inconsistent compliance. Prospective and retrospective methods of assessment of lithium response have been proposed in the literature. In this study we report the key phenotypic measures of the "Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder" scale currently used in the Consortium on Lithium Genetics (ConLiGen) study. 
Materials and Methods: Twenty-nine ConLiGen sites took part in a two-stage case-vignette rating procedure to examine inter-rater agreement [Kappa (\(\kappa\))] and reliability [intra-class correlation coefficient (ICC)] of lithium response. Annotated first-round vignettes and rating guidelines were circulated to expert research clinicians for training purposes between the two stages. Further, we analyzed the distributional properties of the treatment response scores available for 1,308 patients using mixture modeling. 
Results: Substantial and moderate agreement was shown across sites in the first and second sets of vignettes (\(\kappa\) = 0.66 and \(\kappa\) = 0.54, respectively), without significant improvement from training. However, definition of response using the A score as a quantitative trait and selecting cases with B criteria of 4 or less showed an improvement between the two stages (\(ICC_1 = 0.71\) and \(ICC_2 = 0.75\), respectively). Mixture modeling of score distribution indicated three subpopulations (full responders, partial responders, non responders). 
Conclusions: We identified two definitions of lithium response, one dichotomous and the other continuous, with moderate to substantial inter-rater agreement and reliability. Accurate phenotypic measurement of lithium response is crucial for the ongoing ConLiGen pharmacogenomic study.
KW  - age
KW  - observer agreement
KW  - prophylactic lithium
KW  - mapping susceptibility genes
KW  - mood disorders
KW  - onset
KW  - association
KW  - reliability
KW  - morality
KW  - illness
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-130938
VL  - 8
IS  - 6
ER  - 
TY  - JOUR
A1  - Becker, Charles R.
A1  - Martin, T. P.
T1  - Infrared absorption by Impurity-pair resonant modes in NaCl:F
N2  - New resonant-mode infrared absorption lines have been observed in NaCl with high concentrations of fluorine impurities. The quadratic concentration dependence of the strength of these lines indicates that they are due to pairs of fluorine impurities. At the resonant frequencies, the motion of some host ions appears to be as important as the motion of the impurities themselves.
KW  - Festkörperphysik
Y1  - 1972
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-37840
SN  - 1098-0121
ER  - 
TY  - JOUR
A1  - Ishigama, M.
A1  - Becker, Charles R.
A1  - Martin, T. P.
A1  - Prettl, W.
T1  - Impurity-pair mode in NaCl:KF
N2  - No abstract available
Y1  - 1972
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-31255
ER  - 
TY  - JOUR
A1  - Jende, Johann M. E.
A1  - Kender, Zoltan
A1  - Rother, Christian
A1  - Alvarez-Ramos, Lucia
A1  - Groener, Jan B.
A1  - Pham, Mirko
A1  - Morgenstern, Jakob
A1  - Oikonomou, Dimitrios
A1  - Hahn, Artur
A1  - Juerchott, Alexander
A1  - Kollmer, Jennifer
A1  - Heiland, Sabine
A1  - Kopf, Stefan
A1  - Nawroth, Peter P.
A1  - Bendszus, Martin
A1  - Kurz, Felix T.
T1  - Diabetic Polyneuropathy Is Associated With Pathomorphological Changes in Human Dorsal Root Ganglia: A Study Using 3T MR Neurography
JF  - Frontiers in Neuroscience
N2  - Diabetic neuropathy (DPN) is one of the most severe and yet most poorly understood complications of diabetes mellitus. In vivo imaging of dorsal root ganglia (DRG), a key structure for the understanding of DPN, has been restricted to animal studies. These have shown a correlation of decreased DRG volume with neuropathic symptom severity. Our objective was to investigate correlations of DRG morphology and signal characteristics at 3 Tesla (3T) magnetic resonance neurography (MRN) with clinical and serological data in diabetic patients with and without DPN. In this cross-sectional study, participants underwent 3T MRN of both L5 DRG using an isotropic 3D T2-weighted, fat-suppressed sequence with subsequent segmentation of DRG volume and analysis of normalized signal properties. Overall, 55 diabetes patients (66 ± 9 years; 32 men; 30 with DPN) took part in this study. DRG volume was smaller in patients with severe DPN when compared to patients with mild or moderate DPN (134.7 ± 21.86 vs 170.1 ± 49.22; p = 0.040). In DPN patients, DRG volume was negatively correlated with the neuropathy disability score (r = −0.43; 95%CI = −0.66 to −0.14; p = 0.02), a measure of neuropathy severity. DRG volume showed negative correlations with triglycerides (r = −0.40; 95%CI = −0.57 to −0.19; p = 0.006), and LDL cholesterol (r = −0.33; 95%CI = −0.51 to −0.11; p = 0.04). There was a strong positive correlation of normalized MR signal intensity (SI) with the neuropathy symptom score in the subgroup of patients with painful DPN (r = 0.80; 95%CI = 0.46 to 0.93; p = 0.005). DRG SI was positively correlated with HbA1c levels (r = 0.30; 95%CI = 0.09 to 0.50; p = 0.03) and the triglyceride/HDL ratio (r = 0.40; 95%CI = 0.19 to 0.57; p = 0.007). In this first in vivo study, we found DRG morphological degeneration and signal increase in correlation with neuropathy severity. This elucidates the potential importance of MR-based DRG assessments in studying structural and functional changes in DPN.
KW  - diabetic polyneuropathy
KW  - dorsal root ganglion
KW  - magnetic resonance neurography
KW  - neuropathic pain
KW  - peripheral nervous system
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-212459
VL  - 14
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  - Dammert, Marcel A.
A1  - Brägelmann, Johannes
A1  - Olsen, Rachelle R.
A1  - Böhm, Stefanie
A1  - Monhasery, Niloufar
A1  - Whitney, Christopher P.
A1  - Chalishazar, Milind D.
A1  - Tumbrink, Hannah L.
A1  - Guthrie, Matthew R.
A1  - Klein, Sebastian
A1  - Ireland, Abbie S.
A1  - Ryan, Jeremy
A1  - Schmitt, Anna
A1  - Marx, Annika
A1  - Ozretić, Luka
A1  - Castiglione, Roberta
A1  - Lorenz, Carina
A1  - Jachimowicz, Ron D.
A1  - Wolf, Elmar
A1  - Thomas, Roman K.
A1  - Poirier, John T.
A1  - Büttner, Reinhard
A1  - Sen, Triparna
A1  - Byers, Lauren A.
A1  - Reinhardt, H. Christian
A1  - Letai, Anthony
A1  - Oliver, Trudy G.
A1  - Sos, Martin L.
T1  - MYC paralog-dependent apoptotic priming orchestrates a spectrum of vulnerabilities in small cell lung cancer
JF  - Nature Communications
N2  - MYC paralogs are frequently activated in small cell lung cancer (SCLC) but represent poor drug targets. Thus, a detailed mapping of MYC-paralog-specific vulnerabilities may help to develop effective therapies for SCLC patients. Using a unique cellular CRISPR activation model, we uncover that, in contrast to MYCN and MYCL, MYC represses BCL2 transcription via interaction with MIZ1 and DNMT3a. The resulting lack of BCL2 expression promotes sensitivity to cell cycle control inhibition and dependency on MCL1. Furthermore, MYC activation leads to heightened apoptotic priming, intrinsic genotoxic stress and susceptibility to DNA damage checkpoint inhibitors. Finally, combined AURK and CHK1 inhibition substantially prolongs the survival of mice bearing MYC-driven SCLC beyond that of combination chemotherapy. These analyses uncover MYC-paralog-specific regulation of the apoptotic machinery with implications for genotype-based selection of targeted therapeutics in SCLC patients.
KW  - genetic engineering
KW  - oncogenes
KW  - small-cell lung cancer
KW  - targeted therapies
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-223569
VL  - 10
ER  - 
TY  - JOUR
A1  - De Palma, Adriana
A1  - Abrahamczyk, Stefan
A1  - Aizen, Marcelo A.
A1  - Albrecht, Matthias
A1  - Basset, Yves
A1  - Bates, Adam
A1  - Blake, Robin J.
A1  - Boutin, Céline
A1  - Bugter, Rob
A1  - Connop, Stuart
A1  - Cruz-López, Leopoldo
A1  - Cunningham, Saul A.
A1  - Darvill, Ben
A1  - Diekötter, Tim
A1  - Dorn, Silvia
A1  - Downing, Nicola
A1  - Entling, Martin H.
A1  - Farwig, Nina
A1  - Felicioli, Antonio
A1  - Fonte, Steven J.
A1  - Fowler, Robert
A1  - Franzen, Markus Franzén
A1  - Goulson, Dave
A1  - Grass, Ingo
A1  - Hanley, Mick E.
A1  - Hendrix, Stephen D.
A1  - Herrmann, Farina
A1  - Herzog, Felix
A1  - Holzschuh, Andrea
A1  - Jauker, Birgit
A1  - Kessler, Michael
A1  - Knight, M. E.
A1  - Kruess, Andreas
A1  - Lavelle, Patrick
A1  - Le Féon, Violette
A1  - Lentini, Pia
A1  - Malone, Louise A.
A1  - Marshall, Jon
A1  - Martínez Pachón, Eliana
A1  - McFrederick, Quinn S.
A1  - Morales, Carolina L.
A1  - Mudri-Stojnic, Sonja
A1  - Nates-Parra, Guiomar
A1  - Nilsson, Sven G.
A1  - Öckinger, Erik
A1  - Osgathorpe, Lynne
A1  - Parra-H, Alejandro
A1  - Peres, Carlos A.
A1  - Persson, Anna S.
A1  - Petanidou, Theodora
A1  - Poveda, Katja
A1  - Power, Eileen F.
A1  - Quaranta, Marino
A1  - Quintero, Carolina
A1  - Rader, Romina
A1  - Richards, Miriam H.
A1  - Roulston, T’ai
A1  - Rousseau, Laurent
A1  - Sadler, Jonathan P.
A1  - Samnegård, Ulrika
A1  - Schellhorn, Nancy A.
A1  - Schüepp, Christof
A1  - Schweiger, Oliver
A1  - Smith-Pardo, Allan H.
A1  - Steffan-Dewenter, Ingolf
A1  - Stout, Jane C.
A1  - Tonietto, Rebecca K.
A1  - Tscharntke, Teja
A1  - Tylianakis, Jason M.
A1  - Verboven, Hans A. F.
A1  - Vergara, Carlos H.
A1  - Verhulst, Jort
A1  - Westphal, Catrin
A1  - Yoon, Hyung Joo
A1  - Purvis, Andy
T1  - Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases
JF  - Scientific Reports
N2  - Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.
KW  - bee community
KW  - land-use change
KW  - intensification
KW  - geographic biases
KW  - taxonomic biases
KW  - global dataset
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167642
VL  - 6
ER  -