@article{GriebschKernHansenetal.2022,
  author    = {Griebsch, Nora-Isabell and Kern, Johanna and Hansen, Jonas and Rullmann, Michael and Luthardt, Julia and Helfmeyer, Stephanie and Dekorsy, Franziska J. and Soeder, Marvin and Hankir, Mohammed K. and Zientek, Franziska and Becker, Georg-Alexander and Patt, Marianne and Meyer, Philipp M. and Dietrich, Arne and Bl{\"u}her, Matthias and Ding, Yu-Shin and Hilbert, Anja and Sabri, Osama and Hesse, Swen},
  title     = {Central serotonin/noradrenaline transporter availability and treatment success in patients with obesity},
  series = {Brain Sciences},
  volume    = {12},
  journal   = {Brain Sciences},
  number    = {11},
  issn      = {2076-3425},
  doi       = {10.3390/brainsci12111437},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-290294},
  year      = {2022},
  abstract  = {Serotonin (5-hydroxytryptamine, 5-HT) as well as noradrenaline (NA) are key modulators of various fundamental brain functions including the control of appetite. While manipulations that alter brain serotoninergic signaling clearly affect body weight, studies implicating 5-HT transporters and NA transporters (5-HTT and NAT, respectively) as a main drug treatment target for human obesity have not been conclusive. The aim of this positron emission tomography (PET) study was to investigate how these central transporters are associated with changes of body weight after 6 months of dietary intervention or Roux-en-Y gastric bypass (RYGB) surgery in order to assess whether 5-HTT as well as NAT availability can predict weight loss and consequently treatment success. The study population consisted of two study cohorts using either the 5-HTT-selective radiotracer [\(^{11}\)C]DASB to measure 5-HTT availability or the NAT-selective radiotracer [\(^{11}\)C]MRB to assess NAT availability. Each group included non-obesity healthy participants, patients with severe obesity (body mass index, BMI, >35 kg/m\(^2\)) following a conservative dietary program (diet) and patients undergoing RYGB surgery within a 6-month follow-up. Overall, changes in BMI were not associated with changes of both 5-HTT and NAT availability, while 5-HTT availability in the dorsal raphe nucleus (DRN) prior to intervention was associated with substantial BMI reduction after RYGB surgery and inversely related with modest BMI reduction after diet. Taken together, the data of our study indicate that 5-HTT and NAT are involved in the pathomechanism of obesity and have the potential to serve as predictors of treatment outcomes.},
  language  = {en}
}
@article{DornelasAntaoMoyesetal.2018,
  author    = {Dornelas, Maria and Ant{\~a}o, Laura H. and Moyes, Faye and Bates, Amanda E. and Magurran, Anne E. and Adam, Dušan and Akhmetzhanova, Asem A. and Appeltans, Ward and Arcos, Jos{\´e} Manuel and Arnold, Haley and Ayyappan, Narayanan and Badihi, Gal and Baird, Andrew H. and Barbosa, Miguel and Barreto, Tiago Egydio and B{\"a}ssler, Claus and Bellgrove, Alecia and Belmaker, Jonathan and Benedetti-Cecchi, Lisandro and Bett, Brian J. and Bjorkman, Anne D. and Błażewicz, Magdalena and Blowes, Shane A. and Bloch, Christopher P. Bloch and Bonebrake, Timothy C. and Boyd, Susan and Bradford, Matt and Brooks, Andrew J. and Brown, James H. and Bruelheide, Helge and Budy, Phaedra and Carvalho, Fernando and Casta{\~n}eda-Moya, Edward and Chen, Chaolun Allen and Chamblee, John F. and Chase, Tory J. and Siegwart Collier, Laura and Collinge, Sharon K. and Condit, Richard and Cooper, Elisabeth J. and Cornelissen, J. Hans C. and Cotano, Unai and Crow, Shannan Kyle and Damasceno, Gabriella and Davies, Claire H. and Davis, Robert A. and Day, Frank P. and Degraer, Steven and Doherty, Tim S. and Dunn, Timothy E. and Durigan, Giselda and Duffy, J. Emmett and Edelist, Dor and Edgar, Graham J. and Elahi, Robin and Elmendorf, Sarah C. and Enemar, Anders and Ernest, S. K. Morgan and Escribano, Rub{\´e}n and Estiarte, Marc and Evans, Brian S. and Fan, Tung-Yung and Turini Farah, Fabiano and Loureiro Fernandes, Luiz and Farneda, F{\´a}bio Z. and Fidelis, Alessandra and Fitt, Robert and Fosaa, Anna Maria and Franco, Geraldo Antonio Daher Correa and Frank, Grace E. and Fraser, William R. and Garc{\´i}a, Hernando and Cazzolla Gatti, Roberto and Givan, Or and Gorgone-Barbosa, Elizabeth and Gould, William A. and Gries, Corinna and Grossman, Gary D. and Gutierr{\´e}z, Julio R. and Hale, Stephen and Harmon, Mark E. and Harte, John and Haskins, Gary and Henshaw, Donald L. and Hermanutz, Luise and Hidalgo, Pamela and Higuchi, Pedro and Hoey, Andrew and Van Hoey, Gert and Hofgaard, Annika and Holeck, Kristen and Hollister, Robert D. and Holmes, Richard and Hoogenboom, Mia and Hsieh, Chih-hao and Hubbell, Stephen P. and Huettmann, Falk and Huffard, Christine L. and Hurlbert, Allen H. and Ivanauskas, Nat{\´a}lia Macedo and Jan{\´i}k, David and Jandt, Ute and Jażdżewska, Anna and Johannessen, Tore and Johnstone, Jill and Jones, Julia and Jones, Faith A. M. and Kang, Jungwon and Kartawijaya, Tasrif and Keeley, Erin C. and Kelt, Douglas A. and Kinnear, Rebecca and Klanderud, Kari and Knutsen, Halvor and Koenig, Christopher C. and Kortz, Alessandra R. and Kr{\´a}l, Kamil and Kuhnz, Linda A. and Kuo, Chao-Yang and Kushner, David J. and Laguionie-Marchais, Claire and Lancaster, Lesley T. and Lee, Cheol Min and Lefcheck, Jonathan S. and L{\´e}vesque, Esther and Lightfoot, David and Lloret, Francisco and Lloyd, John D. and L{\´o}pez-Baucells, Adri{\`a} and Louzao, Maite and Madin, Joshua S. and Magn{\´u}sson, Borgþ{\´o}r and Malamud, Shahar and Matthews, Iain and McFarland, Kent P. and McGill, Brian and McKnight, Diane and McLarney, William O. and Meador, Jason and Meserve, Peter L. and Metcalfe, Daniel J. and Meyer, Christoph F. J. and Michelsen, Anders and Milchakova, Nataliya and Moens, Tom and Moland, Even and Moore, Jon and Moreira, Carolina Mathias and M{\"u}ller, J{\"o}rg and Murphy, Grace and Myers-Smith, Isla H. and Myster, Randall W. and Naumov, Andrew and Neat, Francis and Nelson, James A. and Nelson, Michael Paul and Newton, Stephen F. and Norden, Natalia and Oliver, Jeffrey C. and Olsen, Esben M. and Onipchenko, Vladimir G. and Pabis, Krzysztof and Pabst, Robert J. and Paquette, Alain and Pardede, Sinta and Paterson, David M. and P{\´e}lissier, Rapha{\"e}l and Pe{\~n}uelas, Josep and P{\´e}rez-Matus, Alejandro and Pizarro, Oscar and Pomati, Francesco and Post, Eric and Prins, Herbert H. T. and Priscu, John C. and Provoost, Pieter and Prudic, Kathleen L. and Pulliainen, Erkki and Ramesh, B. R. and Ramos, Olivia Mendivil and Rassweiler, Andrew and Rebelo, Jose Eduardo and Reed, Daniel C. and Reich, Peter B. and Remillard, Suzanne M. and Richardson, Anthony J. and Richardson, J. Paul and van Rijn, Itai and Rocha, Ricardo and Rivera-Monroy, Victor H. and Rixen, Christian and Robinson, Kevin P. and Rodrigues, Ricardo Ribeiro and de Cerqueira Rossa-Feres, Denise and Rudstam, Lars and Ruhl, Henry and Ruz, Catalina S. and Sampaio, Erica M. and Rybicki, Nancy and Rypel, Andrew and Sal, Sofia and Salgado, Beatriz and Santos, Flavio A. M. and Savassi-Coutinho, Ana Paula and Scanga, Sara and Schmidt, Jochen and Schooley, Robert and Setiawan, Fakhrizal and Shao, Kwang-Tsao and Shaver, Gaius R. and Sherman, Sally and Sherry, Thomas W. and Siciński, Jacek and Sievers, Caya and da Silva, Ana Carolina and da Silva, Fernando Rodrigues and Silveira, Fabio L. and Slingsby, Jasper and Smart, Tracey and Snell, Sara J. and Soudzilovskaia, Nadejda A. and Souza, Gabriel B. G. and Souza, Flaviana Maluf and Souza, Vin{\´i}cius Castro and Stallings, Christopher D. and Stanforth, Rowan and Stanley, Emily H. and Sterza, Jos{\´e} Mauro and Stevens, Maarten and Stuart-Smith, Rick and Suarez, Yzel Rondon and Supp, Sarah and Tamashiro, Jorge Yoshio and Tarigan, Sukmaraharja and Thiede, Gary P. and Thorn, Simon and Tolvanen, Anne and Toniato, Maria Teresa Zugliani and Totland, {\O}rjan and Twilley, Robert R. and Vaitkus, Gediminas and Valdivia, Nelson and Vallejo, Martha Isabel and Valone, Thomas J. and Van Colen, Carl and Vanaverbeke, Jan and Venturoli, Fabio and Verheye, Hans M. and Vianna, Marcelo and Vieira, Rui P. and Vrška, Tom{\´a}š and Vu, Con Quang and Vu, Lien Van and Waide, Robert B. and Waldock, Conor and Watts, Dave and Webb, Sara and Wesołowski, Tomasz and White, Ethan P. and Widdicombe, Claire E. and Wilgers, Dustin and Williams, Richard and Williams, Stefan B. and Williamson, Mark and Willig, Michael R. and Willis, Trevor J. and Wipf, Sonja and Woods, Kerry D. and Woehler, Eric J. and Zawada, Kyle and Zettler, Michael L.},
  title     = {BioTIME: A database of biodiversity time series for the Anthropocene},
  series = {Global Ecology and Biogeography},
  volume    = {27},
  journal   = {Global Ecology and Biogeography},
  doi       = {10.1111/geb.12729},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-222846},
  pages     = {760-786},
  year      = {2018},
  abstract  = {Motivation The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2). Time period and grain BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format .csv and .SQL.},
  language  = {en}
}
@article{DindasScherzerRoelfsemaetal.2018,
  author    = {Dindas, Julian and Scherzer, S{\"o}nke and Roelfsema, M. Rob G. and Meyer, Katharina von and M{\"u}ller, Heike M. and Al-Rasheid, K. A. S. and Palme, Klaus and Dietrich, Petra and Becker, Dirk and Bennett, Malcolm J. and Hedrich, Rainer},
  title     = {AUX1-mediated root hair auxin influx governs SCFTIR1/AFB-type Ca2+ signaling},
  series = {Nature Communications},
  volume    = {9},
  journal   = {Nature Communications},
  doi       = {10.1038/s41467-018-03582-5},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-225368},
  year      = {2018},
  abstract  = {Auxin is a key regulator of plant growth and development, but the causal relationship between hormone transport and root responses remains unresolved. Here we describe auxin uptake, together with early steps in signaling, in Arabidopsis root hairs. Using intracellular microelectrodes we show membrane depolarization, in response to IAA in a concentration- and pH-dependent manner. This depolarization is strongly impaired in aux1 mutants, indicating that AUX1 is the major transporter for auxin uptake in root hairs. Local intracellular auxin application triggers Ca2+ signals that propagate as long-distance waves between root cells and modulate their auxin responses. AUX1-mediated IAA transport, as well as IAA- triggered calcium signals, are blocked by treatment with the SCFTIR1/AFB - inhibitor auxinole. Further, they are strongly reduced in the tir1afb2afb3 and the cngc14 mutant. Our study reveals that the AUX1 transporter, the SCFTIR1/AFB receptor and the CNGC14 Ca2+ channel, mediate fast auxin signaling in roots.},
  language  = {en}
}
@article{MitchellMacarthurGanetal.2014,
  author    = {Mitchell, Anna L. and Macarthur, Katie D. R. and Gan, Earn H. and Baggott, Lucy E. and Wolff, Anette S. B. and Skinningsrud, Beate and Platt, Hazel and Short, Andrea and Lobell, Anna and Kampe, Olle and Bensing, Sophie and Betterle, Corrado and Kasperlik-Zaluska, Anna and Zurawek, Magdalena and Fichna, Marta and Kockum, Ingrid and Eriksson, Gabriel Nordling and Ekwall, Olov and Wahlberg, Jeanette and Dahlqvist, Per and Hulting, Anna-Lena and Penna-Martinez, Marissa and Meyer, Gesine and Kahles, Heinrich and Badenhoop, Klaus and Hahner, Stephanie and Quinkler, Marcus and Falorni, Alberto and Phipps-Green, Amanda and Merriman, Tony R. and Ollier, William and Cordell, Heather J. and Undlien, Dag and Czarnocka, Barbara and Husebye, Eystein and Pearce, Simon H. S.},
  title     = {Association of Autoimmune Addison's Disease with Alleles of STAT4 and GATA3 in European Cohorts},
  series = {PLOS ONE},
  volume    = {9},
  journal   = {PLOS ONE},
  number    = {3},
  doi       = {10.1371/journal.pone.0088991},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-117105},
  pages     = {e88991},
  year      = {2014},
  abstract  = {Background: Gene variants known to contribute to Autoimmune Addison's disease (AAD) susceptibility include those at the MHC, MICA, CIITA, CTLA4, PTPN22, CYP27B1, NLRP-1 and CD274 loci. The majority of the genetic component to disease susceptibility has yet to be accounted for. Aim: To investigate the role of 19 candidate genes in AAD susceptibility in six European case-control cohorts. Methods: A sequential association study design was employed with genotyping using Sequenom iPlex technology. In phase one, 85 SNPs in 19 genes were genotyped in UK and Norwegian AAD cohorts (691 AAD, 715 controls). In phase two, 21 SNPs in 11 genes were genotyped in German, Swedish, Italian and Polish cohorts (1264 AAD, 1221 controls). In phase three, to explore association of GATA3 polymorphisms with AAD and to determine if this association extended to other autoimmune conditions, 15 SNPs in GATA3 were studied in UK and Norwegian AAD cohorts, 1195 type 1 diabetes patients from Norway, 650 rheumatoid arthritis patients from New Zealand and in 283 UK Graves' disease patients. Meta-analysis was used to compare genotype frequencies between the participating centres, allowing for heterogeneity. Results: We report significant association with alleles of two STAT4 markers in AAD cohorts (rs4274624: P = 0.00016; rs10931481: P = 0.0007). In addition, nominal association of AAD with alleles at GATA3 was found in 3 patient cohorts and supported by meta-analysis. Association of AAD with CYP27B1 alleles was also confirmed, which replicates previous published data. Finally, nominal association was found at SNPs in both the NF-kappa B1 and IL23A genes in the UK and Italian cohorts respectively. Conclusions: Variants in the STAT4 gene, previously associated with other autoimmune conditions, confer susceptibility to AAD. Additionally, we report association of GATA3 variants with AAD: this adds to the recent report of association of GATA3 variants with rheumatoid arthritis.},
  language  = {en}
}
@article{VellmerHartlebFraderaSolaetal.2022,
  author    = {Vellmer, Tim and Hartleb, Laura and Fradera Sola, Albert and Kramer, Susanne and Meyer-Natus, Elisabeth and Butter, Falk and Janzen, Christian J.},
  title     = {A novel SNF2 ATPase complex in Trypanosoma brucei with a role in H2A.Z-mediated chromatin remodelling},
  series = {PLoS Pathogens},
  volume    = {18},
  journal   = {PLoS Pathogens},
  number    = {6},
  doi       = {10.1371/journal.ppat.1010514},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-301372},
  year      = {2022},
  abstract  = {A cascade of histone acetylation events with subsequent incorporation of a histone H2A variant plays an essential part in transcription regulation in various model organisms. A key player in this cascade is the chromatin remodelling complex SWR1, which replaces the canonical histone H2A with its variant H2A.Z. Transcriptional regulation of polycistronic transcription units in the unicellular parasite Trypanosoma brucei has been shown to be highly dependent on acetylation of H2A.Z, which is mediated by the histone-acetyltransferase HAT2. The chromatin remodelling complex which mediates H2A.Z incorporation is not known and an SWR1 orthologue in trypanosomes has not yet been reported. In this study, we identified and characterised an SWR1-like remodeller complex in T. brucei that is responsible for Pol II-dependent transcriptional regulation. Bioinformatic analysis of potential SNF2 DEAD/Box helicases, the key component of SWR1 complexes, identified a 1211 amino acids-long protein that exhibits key structural characteristics of the SWR1 subfamily. Systematic protein-protein interaction analysis revealed the existence of a novel complex exhibiting key features of an SWR1-like chromatin remodeller. RNAi-mediated depletion of the ATPase subunit of this complex resulted in a significant reduction of H2A.Z incorporation at transcription start sites and a subsequent decrease of steady-state mRNA levels. Furthermore, depletion of SWR1 and RNA-polymerase II (Pol II) caused massive chromatin condensation. The potential function of several proteins associated with the SWR1-like complex and with HAT2, the key factor of H2A.Z incorporation, is discussed.},
  language  = {en}
}
@article{JainVelezAcostaetal.2012,
  author    = {Jain, M. and V{\´e}lez, J. I. and Acosta, M. T. and Palacio, L. G. and Balog, J. and Roessler, E. and Pineda, D. and Londo{\~n}o, A. C. and Palacio, J. D. and Arbelaez, A. and Lopera, F. and Elia, J. and Hakonarson, H. and Seitz, C. and Freitag, C. M. and Palmason, H. and Meyer, J. and Romanos, M. and Walitza, S. and Hemminger, U. and Warnke, A. and Romanos, J. and Renner, T. and Jacob, C. and Lesch, K.-P. and Swanson, J. and Castellanos, F. X. and Bailey-Wilson, J. E. and Arcos-Burgos, M. and Muenke, M.},
  title     = {A cooperative interaction between LPHN3 and 11q doubles the risk for ADHD},
  series = {Molecular Psychiatry},
  volume    = {17},
  journal   = {Molecular Psychiatry},
  doi       = {10.1038/mp.2011.59},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-125128},
  pages     = {741-747},
  year      = {2012},
  abstract  = {In previous studies of a genetic isolate, we identified significant linkage of attention deficit hyperactivity disorder (ADHD) to 4q, 5q, 8q, 11q and 17p. The existence of unique large size families linked to multiple regions, and the fact that these families came from an isolated population, we hypothesized that two-locus interaction contributions to ADHD were plausible. Several analytical models converged to show significant interaction between 4q and 11q (P<1 × 10-8) and 11q and 17p (P<1 × 10-6). As we have identified that common variants of the LPHN3 gene were responsible for the 4q linkage signal, we focused on 4q-11q interaction to determine that single-nucleotide polymorphisms (SNPs) harbored in the LPHN3 gene interact with SNPs spanning the 11q region that contains DRD2 and NCAM1 genes, to double the risk of developing ADHD. This interaction not only explains genetic effects much better than taking each of these loci effects by separated but also differences in brain metabolism as depicted by proton magnetic resonance spectroscopy data and pharmacogenetic response to stimulant medication. These findings not only add information about how high order genetic interactions might be implicated in conferring susceptibility to develop ADHD but also show that future studies of the effects of genetic interactions on ADHD clinical information will help to shape predictive models of individual outcome.},
  language  = {en}
}