TY  - JOUR
A1  - Viljur, Mari‐Liis
A1  - Abella, Scott R.
A1  - Adámek, Martin
A1  - Alencar, Janderson Batista Rodrigues
A1  - Barber, Nicholas A.
A1  - Beudert, Burkhard
A1  - Burkle, Laura A.
A1  - Cagnolo, Luciano
A1  - Campos, Brent R.
A1  - Chao, Anne
A1  - Chergui, Brahim
A1  - Choi, Chang‐Yong
A1  - Cleary, Daniel F. R.
A1  - Davis, Thomas Seth
A1  - Dechnik‐Vázquez, Yanus A.
A1  - Downing, William M.
A1  - Fuentes‐Ramirez, Andrés
A1  - Gandhi, Kamal J. K.
A1  - Gehring, Catherine
A1  - Georgiev, Kostadin B.
A1  - Gimbutas, Mark
A1  - Gongalsky, Konstantin B.
A1  - Gorbunova, Anastasiya Y.
A1  - Greenberg, Cathryn H.
A1  - Hylander, Kristoffer
A1  - Jules, Erik S.
A1  - Korobushkin, Daniil I.
A1  - Köster, Kajar
A1  - Kurth, Valerie
A1  - Lanham, Joseph Drew
A1  - Lazarina, Maria
A1  - Leverkus, Alexandro B.
A1  - Lindenmayer, David
A1  - Marra, Daniel Magnabosco
A1  - Martín‐Pinto, Pablo
A1  - Meave, Jorge A.
A1  - Moretti, Marco
A1  - Nam, Hyun‐Young
A1  - Obrist, Martin K.
A1  - Petanidou, Theodora
A1  - Pons, Pere
A1  - Potts, Simon G.
A1  - Rapoport, Irina B.
A1  - Rhoades, Paul R.
A1  - Richter, Clark
A1  - Saifutdinov, Ruslan A.
A1  - Sanders, Nathan J.
A1  - Santos, Xavier
A1  - Steel, Zachary
A1  - Tavella, Julia
A1  - Wendenburg, Clara
A1  - Wermelinger, Beat
A1  - Zaitsev, Andrey S.
A1  - Thorn, Simon
T1  - The effect of natural disturbances on forest biodiversity: an ecological synthesis
JF  - Biological Reviews
N2  - Disturbances alter biodiversity via their specific characteristics, including severity and extent in the landscape, which act at different temporal and spatial scales. Biodiversity response to disturbance also depends on the community characteristics and habitat requirements of species. Untangling the mechanistic interplay of these factors has guided disturbance ecology for decades, generating mixed scientific evidence of biodiversity responses to disturbance. Understanding the impact of natural disturbances on biodiversity is increasingly important due to human‐induced changes in natural disturbance regimes. In many areas, major natural forest disturbances, such as wildfires, windstorms, and insect outbreaks, are becoming more frequent, intense, severe, and widespread due to climate change and land‐use change. Conversely, the suppression of natural disturbances threatens disturbance‐dependent biota. Using a meta‐analytic approach, we analysed a global data set (with most sampling concentrated in temperate and boreal secondary forests) of species assemblages of 26 taxonomic groups, including plants, animals, and fungi collected from forests affected by wildfires, windstorms, and insect outbreaks. The overall effect of natural disturbances on α‐diversity did not differ significantly from zero, but some taxonomic groups responded positively to disturbance, while others tended to respond negatively. Disturbance was beneficial for taxonomic groups preferring conditions associated with open canopies (e.g. hymenopterans and hoverflies), whereas ground‐dwelling groups and/or groups typically associated with shady conditions (e.g. epigeic lichens and mycorrhizal fungi) were more likely to be negatively impacted by disturbance. Across all taxonomic groups, the highest α‐diversity in disturbed forest patches occurred under moderate disturbance severity, i.e. with approximately 55% of trees killed by disturbance. We further extended our meta‐analysis by applying a unified diversity concept based on Hill numbers to estimate α‐diversity changes in different taxonomic groups across a gradient of disturbance severity measured at the stand scale and incorporating other disturbance features. We found that disturbance severity negatively affected diversity for Hill number q = 0 but not for q = 1 and q = 2, indicating that diversity–disturbance relationships are shaped by species relative abundances. Our synthesis of α‐diversity was extended by a synthesis of disturbance‐induced change in species assemblages, and revealed that disturbance changes the β‐diversity of multiple taxonomic groups, including some groups that were not affected at the α‐diversity level (birds and woody plants). Finally, we used mixed rarefaction/extrapolation to estimate biodiversity change as a function of the proportion of forests that were disturbed, i.e. the disturbance extent measured at the landscape scale. The comparison of intact and naturally disturbed forests revealed that both types of forests provide habitat for unique species assemblages, whereas species diversity in the mixture of disturbed and undisturbed forests peaked at intermediate values of disturbance extent in the simulated landscape. Hence, the relationship between α‐diversity and disturbance severity in disturbed forest stands was strikingly similar to the relationship between species richness and disturbance extent in a landscape consisting of both disturbed and undisturbed forest habitats. This result suggests that both moderate disturbance severity and moderate disturbance extent support the highest levels of biodiversity in contemporary forest landscapes.
KW  - natural disturbance
KW  - diversity–disturbance relationship
KW  - disturbance severity
KW  - disturbance extent
KW  - intermediate disturbance hypothesis
KW  - forest communities
KW  - α‐diversity
KW  - β‐diversity
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-287168
VL  - 97
IS  - 5
SP  - 1930
EP  - 1947
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  - 
TY  - JOUR
A1  - Davis, Lea K.
A1  - Yu, Dongmei
A1  - Keenan, Clare L.
A1  - Gamazon, Eric R.
A1  - Konkashbaev, Anuar I.
A1  - Derks, Eske M.
A1  - Neale, Benjamin M.
A1  - Yang, Jian
A1  - Lee, S. Hong
A1  - Evans, Patrick
A1  - Barr, Cathy L.
A1  - Bellodi, Laura
A1  - Benarroch, Fortu
A1  - Berrio, Gabriel Bedoya
A1  - Bienvenu, Oscar J.
A1  - Bloch, Michael H.
A1  - Blom, Rianne M.
A1  - Bruun, Ruth D.
A1  - Budman, Cathy L.
A1  - Camarena, Beatriz
A1  - Campbell, Desmond
A1  - Cappi, Carolina
A1  - Cardona Silgado, Julio C.
A1  - Cath, Danielle C.
A1  - Cavallini, Maria C.
A1  - Chavira, Denise A.
A1  - Chouinard, Sylvian
A1  - Conti, David V.
A1  - Cook, Edwin H.
A1  - Coric, Vladimir
A1  - Cullen, Bernadette A.
A1  - Deforce, Dieter
A1  - Delorme, Richard
A1  - Dion, Yves
A1  - Edlund, Christopher K.
A1  - Egberts, Karin
A1  - Falkai, Peter
A1  - Fernandez, Thomas V.
A1  - Gallagher, Patience J.
A1  - Garrido, Helena
A1  - Geller, Daniel
A1  - Girard, Simon L.
A1  - Grabe, Hans J.
A1  - Grados, Marco A.
A1  - Greenberg, Benjamin D.
A1  - Gross-Tsur, Varda
A1  - Haddad, Stephen
A1  - Heiman, Gary A.
A1  - Hemmings, Sian M. J.
A1  - Hounie, Ana G.
A1  - Illmann, Cornelia
A1  - Jankovic, Joseph
A1  - Jenike, Micheal A.
A1  - Kennedy, James L.
A1  - King, Robert A.
A1  - Kremeyer, Barbara
A1  - Kurlan, Roger
A1  - Lanzagorta, Nuria
A1  - Leboyer, Marion
A1  - Leckman, James F.
A1  - Lennertz, Leonhard
A1  - Liu, Chunyu
A1  - Lochner, Christine
A1  - Lowe, Thomas L.
A1  - Macciardi, Fabio
A1  - McCracken, James T.
A1  - McGrath, Lauren M.
A1  - Restrepo, Sandra C. Mesa
A1  - Moessner, Rainald
A1  - Morgan, Jubel
A1  - Muller, Heike
A1  - Murphy, Dennis L.
A1  - Naarden, Allan L.
A1  - Ochoa, William Cornejo
A1  - Ophoff, Roel A.
A1  - Osiecki, Lisa
A1  - Pakstis, Andrew J.
A1  - Pato, Michele T.
A1  - Pato, Carlos N.
A1  - Piacentini, John
A1  - Pittenger, Christopher
A1  - Pollak, Yehunda
A1  - Rauch, Scott L.
A1  - Renner, Tobias J.
A1  - Reus, Victor I.
A1  - Richter, Margaret A.
A1  - Riddle, Mark A.
A1  - Robertson, Mary M.
A1  - Romero, Roxana
A1  - Rosàrio, Maria C.
A1  - Rosenberg, David
A1  - Rouleau, Guy A.
A1  - Ruhrmann, Stephan
A1  - Ruiz-Linares, Andreas
A1  - Sampaio, Aline S.
A1  - Samuels, Jack
A1  - Sandor, Paul
A1  - Sheppard, Broke
A1  - Singer, Harvey S.
A1  - Smit, Jan H.
A1  - Stein, Dan J.
A1  - Strengman, E.
A1  - Tischfield, Jay A.
A1  - Valencia Duarte, Ana V.
A1  - Vallada, Homero
A1  - Van Nieuwerburgh, Flip
A1  - Veenstra-VanderWeele, Jeremy
A1  - Walitza, Susanne
A1  - Wang, Ying
A1  - Wendland, Jens R.
A1  - Westenberg, Herman G. M.
A1  - Shugart, Yin Yao
A1  - Miguel, Euripedes C.
A1  - McMahon, William
A1  - Wagner, Michael
A1  - Nicolini, Humberto
A1  - Posthuma, Danielle
A1  - Hanna, Gregory L.
A1  - Heutink, Peter
A1  - Denys, Damiaan
A1  - Arnold, Paul D.
A1  - Oostra, Ben A.
A1  - Nestadt, Gerald
A1  - Freimer, Nelson B.
A1  - Pauls, David L.
A1  - Wray, Naomi R.
A1  - Stewart, S. Evelyn
A1  - Mathews, Carol A.
A1  - Knowles, James A.
A1  - Cox, Nancy J.
A1  - Scharf, Jeremiah M.
T1  - Partitioning the Heritability of Tourette Syndrome and Obsessive Compulsive Disorder Reveals Differences in Genetic Architecture
JF  - PLoS Genetics
N2  - The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained by all SNPs for two phenotypically-related neurobehavioral disorders, obsessive-compulsive disorder (OCD) and Tourette Syndrome (TS), using GCTA. Our analysis yielded a heritability point estimate of 0.58 (se = 0.09, p = 5.64e-12) for TS, and 0.37 (se = 0.07, p = 1.5e-07) for OCD. In addition, we conducted multiple genomic partitioning analyses to identify genomic elements that concentrate this heritability. We examined genomic architectures of TS and OCD by chromosome, MAF bin, and functional annotations. In addition, we assessed heritability for early onset and adult onset OCD. Among other notable results, we found that SNPs with a minor allele frequency of less than 5% accounted for 21% of the TS heritability and 0% of the OCD heritability. Additionally, we identified a significant contribution to TS and OCD heritability by variants significantly associated with gene expression in two regions of the brain (parietal cortex and cerebellum) for which we had available expression quantitative trait loci (eQTLs). Finally we analyzed the genetic correlation between TS and OCD, revealing a genetic correlation of 0.41 (se = 0.15, p = 0.002). These results are very close to previous heritability estimates for TS and OCD based on twin and family studies, suggesting that very little, if any, heritability is truly missing (i.e., unassayed) from TS and OCD GWAS studies of common variation. The results also indicate that there is some genetic overlap between these two phenotypically-related neuropsychiatric disorders, but suggest that the two disorders have distinct genetic architectures.
KW  - TIC disorders
KW  - missing heritability
KW  - complex diseases
KW  - neuropsychiatric disorders
KW  - common SNPS
KW  - gilles
KW  - family
KW  - brain
KW  - expression
KW  - autism
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-127377
SN  - 1553-7390
VL  - 9
IS  - 10
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  - Toussaint, André
A1  - Richter, Anne
A1  - Mantel, Frederick
A1  - Flickinger, John C.
A1  - Grills, Inga Siiner
A1  - Tyagi, Neelam
A1  - Sahgal, Arjun
A1  - Letourneau, Daniel
A1  - Sheehan, Jason P.
A1  - Schlesinger, David J.
A1  - Gerszten, Peter Carlos
A1  - Guckenberger, Matthias
T1  - Variability in spine radiosurgery treatment planning – results of an international multi-institutional study
JF  - Radiation Oncology
N2  - Background

The aim of this study was to quantify the variability in spinal radiosurgery (SRS) planning practices between five international institutions, all member of the Elekta Spine Radiosurgery Research Consortium.

Methods

Four institutions provided one representative patient case each consisting of the medical history, CT and MR imaging. A step-wise planning approach was used where, after each planning step a consensus was generated that formed the basis for the next planning step. This allowed independent analysis of all planning steps of CT-MR image registration, GTV definition, CTV definition, PTV definition and SRS treatment planning. In addition, each institution generated one additional SRS plan for each case based on intra-institutional image registration and contouring, independent of consensus results.

Results

Averaged over the four cases, image registration variability ranged between translational 1.1 mm and 2.4 mm and rotational 1.1° and 2.0° in all three directions. GTV delineation variability was 1.5 mm in axial and 1.6 mm in longitudinal direction averaged for the four cases. CTV delineation variability was 0.8 mm in axial and 1.2 mm in longitudinal direction. CTV-to-PTV margins ranged between 0 mm and 2 mm according to institutional protocol. Delineation variability was 1 mm in axial directions for the spinal cord. Average PTV coverage for a single fraction18 Gy prescription was 87 ± 5 %; Dmin to the PTV was 7.5 ± 1.8 Gy averaged over all cases and institutions. Average Dmax to the PRV_SC (spinal cord + 1 mm) was 10.5 ± 1.6 Gy and the average Paddick conformity index was 0.69 ± 0.06.

Conclusions

Results of this study reflect the variability in current practice of spine radiosurgery in large and highly experienced academic centers. Despite close methodical agreement in the daily workflow, clinically significant variability in all steps of the treatment planning process was demonstrated. This may translate into differences in patient clinical outcome and highlights the need for consensus and established delineation and planning criteria.
KW  - planning variability
KW  - spine radiosurgery
KW  - vertebral metastases
KW  - delineation
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-146687
VL  - 11
IS  - 57
ER  - 
TY  - JOUR
A1  - Carradec, Quentin
A1  - Pelletier, Eric
A1  - Da Silva, Corinne
A1  - Alberti, Adriana
A1  - Seeleuthner, Yoann
A1  - Blanc-Mathieu, Romain
A1  - Lima-Mendez, Gipsi
A1  - Rocha, Fabio
A1  - Tirichine, Leila
A1  - Labadie, Karine
A1  - Kirilovsky, Amos
A1  - Bertrand, Alexis
A1  - Engelen, Stefan
A1  - Madoui, Mohammed-Amin
A1  - Méheust, Raphaël
A1  - Poulain, Julie
A1  - Romac, Sarah
A1  - Richter, Daniel J.
A1  - Yoshikawa, Genki
A1  - Dimier, Céline
A1  - Kandels-Lewis, Stefanie
A1  - Picheral, Marc
A1  - Searson, Sarah
A1  - Jaillon, Olivier
A1  - Aury, Jean-Marc
A1  - Karsenti, Eric
A1  - Sullivan, Matthew B.
A1  - Sunagawa, Shinichi
A1  - Bork, Peer
A1  - Not, Fabrice
A1  - Hingamp, Pascal
A1  - Raes, Jeroen
A1  - Guidi, Lionel
A1  - Ogata, Hiroyuki
A1  - de Vargas, Colomban
A1  - Iudicone, Daniele
A1  - Bowler, Chris
A1  - Wincker, Patrick
T1  - A global ocean atlas of eukaryotic gene
JF  - Nature Communications
N2  - While our knowledge about the roles of microbes and viruses in the ocean has increased tremendously due to recent advances in genomics and metagenomics, research on marine microbial eukaryotes and zooplankton has benefited much less from these new technologies because of their larger genomes, their enormous diversity, and largely unexplored physiologies. Here, we use a metatranscriptomics approach to capture expressed genes in open ocean Tara Oceans stations across four organismal size fractions. The individual sequence reads cluster into 116 million unigenes representing the largest reference collection of eukaryotic transcripts from any single biome. The catalog is used to unveil functions expressed by eukaryotic marine plankton, and to assess their functional biogeography. Almost half of the sequences have no similarity with known proteins, and a great number belong to new gene families with a restricted distribution in the ocean. Overall, the resource provides the foundations for exploring the roles of marine eukaryotes in ocean ecology and biogeochemistry.
KW  - genomics
KW  - marine biology
KW  - microbial ecology
KW  - water microbiology
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-222250
VL  - 9
ER  -