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 - 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 - Ziegler, C. A1 - Richter, J. A1 - Mahr, M. A1 - Gajewska, A. A1 - Schiele, M.A. A1 - Gehrmann, A. A1 - Schmidt, B. A1 - Lesch, K.-P. A1 - Lang, T. A1 - Helbig-Lang, S. A1 - Pauli, P. A1 - Kircher, T. A1 - Reif, A. A1 - Rief, W. A1 - Vossbeck-Elsebusch, A.N. A1 - Arolt, V. A1 - Wittchen, H.-U. A1 - Hamm, A.O. A1 - Deckert, J. A1 - Domschke, K. T1 - MAOA gene hypomethylation in panic disorder-reversibility of an epigenetic risk pattern by psychotherapy JF - Translational Psychiatry N2 - Epigenetic signatures such as methylation of the monoamine oxidase A (MAOA) gene have been found to be altered in panic disorder (PD). Hypothesizing temporal plasticity of epigenetic processes as a mechanism of successful fear extinction, the present psychotherapy-epigenetic study for we believe the first time investigated MAOA methylation changes during the course of exposure-based cognitive behavioral therapy (CBT) in PD. MAOA methylation was compared between N=28 female Caucasian PD patients (discovery sample) and N=28 age- and sex-matched healthy controls via direct sequencing of sodium bisulfite-treated DNA extracted from blood cells. MAOA methylation was furthermore analyzed at baseline (T0) and after a 6-week CBT (T1) in the discovery sample parallelized by a waiting time in healthy controls, as well as in an independent sample of female PD patients (N=20). Patients exhibited lower MAOA methylation than healthy controls (P<0.001), and baseline PD severity correlated negatively with MAOA methylation (P=0.01). In the discovery sample, MAOA methylation increased up to the level of healthy controls along with CBT response (number of panic attacks; T0-T1: +3.37±2.17%), while non-responders further decreased in methylation (-2.00±1.28%; P=0.001). In the replication sample, increases in MAOA methylation correlated with agoraphobic symptom reduction after CBT (P=0.02-0.03). The present results support previous evidence for MAOA hypomethylation as a PD risk marker and suggest reversibility of MAOA hypomethylation as a potential epigenetic correlate of response to CBT. The emerging notion of epigenetic signatures as a mechanism of action of psychotherapeutic interventions may promote epigenetic patterns as biomarkers of lasting extinction effects. KW - Adult KW - Case-Control Studies KW - Cognitive Therapy KW - DNA Methylation KW - Epigenesis KW - Genetic KW - Female KW - Humans KW - Monoamine Oxidase/genetics KW - Panic Disorder/genetics KW - Panic Disorder/therapy KW - Sequence Analysis KW - DNA Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-164422 IS - 6 ER - TY - JOUR A1 - Hegi, M. E. A1 - Ulrich, D. A1 - Sagelsdorff, P. A1 - Richter, C. A1 - Lutz, Werner K. T1 - No measurable increase in thymidine glycol or 8-hydroxydeoxyguanosine in liver DNA of rats treated with nafenopin or choline-devoid low-methionine diet N2 - Male rats were treated for 2 months with 1000 ppm nafenopin in the diet or for 4 or 7 days with a choline-devoid low-methionine diet. DNA was isolated from the livers and analyzed for the presence of cis-thymidine glycol-3'-phosphate (cis-dTGp) by 32P-postlabeling and for the Ievel of 8-hydroxy-deoxyguanosine (8-0H-dG) by electrochemical detection (ECD). In no DNA sample was the Ievel of cis-dTGp above the Iimit of detection of 1 modified thymidine per 106 nucleotides. With 8-0H-dG, a background Ievel of this modification of 20 8-0H-dG per 106 nucleosides was found in liver DNA of control rats, which was not affected by either treatment. It is postulated for thymidine glycol that a potential increase was below the Iimit of detection or was rapidly repaired in vivo and that the steady-state Ievel of endogenous 8-hydroxydeoxyguanosine appears not tobe influenced by the treatments chosen. KW - Toxikologie KW - Oxygen radical KW - DNA KW - Genotoxicity KW - Rat liver peroxisome KW - Choline deficiency KW - Thymidine glycol KW - 8-Hydroxy-deoxyguanosine Y1 - 1990 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-60790 ER - TY - RPRT A1 - Schüssler, Ulrich A1 - von Gehlen, K. A1 - Matthes, S. A1 - Okrusch, Martin A1 - Richter, P. A1 - Röhr, C. T1 - Ultramafische Einschaltungen in Metabasiten der KTB-Vorbohrung N2 - No abstract available KW - Kontinentales Tiefbohrprogramm Y1 - 1991 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-39206 ER - TY - JOUR A1 - Straube, B. A1 - Reif, A. A1 - Richter, J. A1 - Lueken, U. A1 - Weber, H. A1 - Arolt, V. A1 - Jansen, A. A1 - Zwanzger, P. A1 - Domschke, K. A1 - Pauli, P. A1 - Konrad, C. A1 - Gerlach, A. L. A1 - Lang, T. A1 - Fydrich, T. A1 - Alpers, G. W. A1 - Stroehle, A. A1 - Wittmann, A. A1 - Pfleiderer, B. A1 - Wittchen, H.-U. A1 - Hamm, A. A1 - Deckert, J. A1 - Kircher, T. T1 - The functional - 1019C/G HTR1A polymorphism and mechanisms of fear JF - Translational Psychiatry N2 - Serotonin receptor 1A gene (HTR1A) knockout mice show pronounced defensive behaviour and increased fear conditioning to ambiguous conditioned stimuli. Such behaviour is a hallmark of pathological human anxiety, as observed in panic disorder with agoraphobia (PD/AG). Thus, variations in HTR1A might contribute to neurophysiological differences within subgroups of PD/AG patients. Here, we tested this hypothesis by combining genetic with behavioural techniques and neuroimaging. In a clinical multicentre trial, patients with PD/AG received 12 sessions of manualized cognitive-behavioural therapy (CBT) and were genotyped for HTR1A rs6295. In four subsamples of this multicentre trial, exposure behaviour (n = 185), defensive reactivity measured using a behavioural avoidance test (BAT; before CBT: n = 245; after CBT: n = 171) and functional magnetic resonance imaging (fMRI) data during fear conditioning were acquired before and after CBT (n = 39). HTR1A risk genotype (GG) carriers more often escaped during the BAT before treatment. Exploratory fMRI results suggest increased activation of the amygdala in response to threat as well as safety cues before and after treatment in GG carriers. Furthermore, GG carriers demonstrated reduced effects of CBT on differential conditioning in regions including the bilateral insulae and the anterior cingulate cortex. Finally, risk genotype carriers demonstrated reduced self-initiated exposure behaviour to aversive situations. This study demonstrates the effect of HTR1A variation on defensive behaviour, amygdala activity, CBT-induced neural plasticity and normalization of defence behaviour in PD/AG. Our results, therefore, translate evidence from animal studies to humans and suggest a central role for HTR1A in differentiating subgroups of patients with anxiety disorders. KW - randomized-controlled trial KW - panic disorder KW - 5-HT1A receptor KW - defensive reactivity KW - major depression KW - cognitive-behavioral therapy KW - receptor gene polymorphism KW - C(-1019)G polymorphism KW - anxiety disorders KW - serotonin(1A) receptor Y1 - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114369 SN - 2158-3188 VL - 4 ER - TY - JOUR A1 - von Gehlen, K. A1 - Matthes, S. A1 - Okrusch, Martin A1 - Richter, P. A1 - Röhr, C. A1 - Schüssler, Ulrich T1 - Metapyroxenite in der KTB-Vorbohrung N2 - No abstract available. KW - Kontinentales Tiefbohrprogramm der Bundesrepublik Deutschland Y1 - 1990 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-87539 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 - Richter, K. A1 - Mathes, V. A1 - Fronius, M. A1 - Althaus, M. A1 - Hecker, A. A1 - Krasteva-Christ, G. A1 - Padberg, W. A1 - Hone, A. J. A1 - McIntosh, J. M. A1 - Zakrzewicz, A. A1 - Grau, V. T1 - Phosphocholine - an agonist of metabotropic but not of ionotropic functions of α9-containing nicotinic acetylcholine receptors JF - Scientific Reports N2 - We demonstrated previously that phosphocholine and phosphocholine-modified macromolecules efficiently inhibit ATP-dependent release of interleukin-1β from human and murine monocytes by a mechanism involving nicotinic acetylcholine receptors (nAChR). Interleukin-1β is a potent pro-inflammatory cytokine of innate immunity that plays pivotal roles in host defence. Control of interleukin-1β release is vital as excessively high systemic levels cause life threatening inflammatory diseases. In spite of its structural similarity to acetylcholine, there are no other reports on interactions of phosphocholine with nAChR. In this study, we demonstrate that phosphocholine inhibits ion-channel function of ATP receptor P2X7 in monocytic cells via nAChR containing α9 and α10 subunits. In stark contrast to choline, phosphocholine does not evoke ion current responses in Xenopus laevis oocytes, which heterologously express functional homomeric nAChR composed of α9 subunits or heteromeric receptors containing α9 and α10 subunits. Preincubation of these oocytes with phosphocholine, however, attenuated choline-induced ion current changes, suggesting that phosphocholine may act as a silent agonist. We conclude that phophocholine activates immuno-modulatory nAChR expressed by monocytes but does not stimulate canonical ionotropic receptor functions. KW - phosphocholine KW - interleukin-1β KW - nicotinic acetylcholine receptors Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167655 VL - 6 IS - 28660 ER - TY - JOUR A1 - Sommer, Kim K. A1 - Amr, Ali A1 - Bavendiek, Udo A1 - Beierle, Felix A1 - Brunecker, Peter A1 - Dathe, Henning A1 - Eils, Jürgen A1 - Ertl, Maximilian A1 - Fette, Georg A1 - Gietzelt, Matthias A1 - Heidecker, Bettina A1 - Hellenkamp, Kristian A1 - Heuschmann, Peter A1 - Hoos, Jennifer D. E. A1 - Kesztyüs, Tibor A1 - Kerwagen, Fabian A1 - Kindermann, Aljoscha A1 - Krefting, Dagmar A1 - Landmesser, Ulf A1 - Marschollek, Michael A1 - Meder, Benjamin A1 - Merzweiler, Angela A1 - Prasser, Fabian A1 - Pryss, Rüdiger A1 - Richter, Jendrik A1 - Schneider, Philipp A1 - Störk, Stefan A1 - Dieterich, Christoph T1 - Structured, harmonized, and interoperable integration of clinical routine data to compute heart failure risk scores JF - Life N2 - Risk prediction in patients with heart failure (HF) is essential to improve the tailoring of preventive, diagnostic, and therapeutic strategies for the individual patient, and effectively use health care resources. Risk scores derived from controlled clinical studies can be used to calculate the risk of mortality and HF hospitalizations. However, these scores are poorly implemented into routine care, predominantly because their calculation requires considerable efforts in practice and necessary data often are not available in an interoperable format. In this work, we demonstrate the feasibility of a multi-site solution to derive and calculate two exemplary HF scores from clinical routine data (MAGGIC score with six continuous and eight categorical variables; Barcelona Bio-HF score with five continuous and six categorical variables). Within HiGHmed, a German Medical Informatics Initiative consortium, we implemented an interoperable solution, collecting a harmonized HF-phenotypic core data set (CDS) within the openEHR framework. Our approach minimizes the need for manual data entry by automatically retrieving data from primary systems. We show, across five participating medical centers, that the implemented structures to execute dedicated data queries, followed by harmonized data processing and score calculation, work well in practice. In summary, we demonstrated the feasibility of clinical routine data usage across multiple partner sites to compute HF risk scores. This solution can be extended to a large spectrum of applications in clinical care. KW - medical informatics initiative KW - HiGHmed KW - medical data integration center KW - clinical routine data KW - heart failure KW - risk prediction scores KW - semantic interoperability KW - openEHR Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-275239 SN - 2075-1729 VL - 12 IS - 5 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 -