@article{PollingerSchmittSanderetal.2017,
  author    = {Pollinger, Florian and Schmitt, Stefan and Sander, Dirk and Tian, Zhen and Kirschner, J{\"u}rgen and Vrdoljak, Pavo and Stadler, Christoph and Maier, Florian and Marchetto, Helder and Schmidt, Thomas and Sch{\"o}ll, Achim and Umbach, Eberhard},
  title     = {Nanoscale patterning, macroscopic reconstruction, and enhanced surface stress by organic adsorption on vicinal surfaces},
  series = {New Journal of Physics},
  volume    = {19},
  journal   = {New Journal of Physics},
  doi       = {10.1088/1367-2630/aa55b8},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-171947},
  year      = {2017},
  abstract  = {Self-organization is a promising method within the framework of bottom-up architectures to generate nanostructures in an efficient way. The present work demonstrates that self- organization on the length scale of a few to several tens of nanometers can be achieved by a proper combination of a large (organic) molecule and a vicinal metal surface if the local bonding of the molecule on steps is significantly stronger than that on low-index surfaces. In this case thermal annealing may lead to large mass transport of the subjacent substrate atoms such that nanometer-wide and micrometer-long molecular stripes or other patterns are being formed on high-index planes. The formation of these patterns can be controlled by the initial surface orientation and adsorbate coverage. The patterns arrange self-organized in regular arrays by repulsive mechanical interactions over long distances accompanied by a significant enhancement of surface stress. We demonstrate this effect using the planar organic molecule PTCDA as adsorbate and Ag(10 8 7) and Ag(775)surfaces as substrate. The patterns are directly observed by STM, the formation of vicinal surfaces is monitored by highresolution electron diffraction, the microscopic surface morphology changes are followed by spectromicroscopy, and the macroscopic changes of surface stress are measured by a cantilever bending method. The in situ combination of these complementary techniques provides compelling evidence for elastic interaction and a significant stress contribution to long-range order and nanopattern formation.},
  language  = {en}
}
@article{SchulzRuppertHermsetal.2017,
  author    = {Schulz, Herbert and Ruppert, Ann-Kathrin and Herms, Stefan and Wolf, Christiane and Mirza-Schreiber, Nazanin and Stegle, Oliver and Czamara, Darina and Forstner, Andreas J. and Sivalingam, Sugirthan and Schoch, Susanne and Moebus, Susanne and P{\"u}tz, Benno and Hillmer, Axel and Fricker, Nadine and Vatter, Hartmut and M{\"u}ller-Myhsok, Bertram and N{\"o}then, Markus M. and Becker, Albert J. and Hoffmann, Per and Sander, Thomas and Cichon, Sven},
  title     = {Genome-wide mapping of genetic determinants influencing DNA methylation and gene expression in human hippocampus},
  series = {Nature Communications},
  volume    = {8},
  journal   = {Nature Communications},
  doi       = {10.1038/s41467-017-01818-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-173168},
  year      = {2017},
  abstract  = {Emerging evidence emphasizes the strong impact of regulatory genomic elements in neurodevelopmental processes and the complex pathways of brain disorders. The present genome-wide quantitative trait loci analyses explore the \(cis\)-regulatory effects of single-nucleotide polymorphisms (SNPs) on DNA methylation (meQTL) and gene expression (eQTL) in 110 human hippocampal biopsies. We identify \(cis\)-meQTLs at 14,118 CpG methylation sites and \(cis\)-eQTLs for 302 3′-mRNA transcripts of 288 genes. Hippocampal \(cis\)-meQTL-CpGs are enriched in flanking regions of active promoters, CpG island shores, binding sites of the transcription factor CTCF and brain eQTLs. \(Cis\)-acting SNPs of hippocampal meQTLs and eQTLs significantly overlap schizophrenia-associated SNPs. Correlations of CpG methylation and RNA expression are found for 34 genes. Our comprehensive maps of \(cis\)-acting hippocampal meQTLs and eQTLs provide a link between disease-associated SNPs and the regulatory genome that will improve the functional interpretation of non-coding genetic variants in the molecular genetic dissection of brain disorders.},
  language  = {en}
}
@article{GroebnerWorstWeischenfeldtetal.2018,
  author    = {Gr{\"o}bner, Susanne N. and Worst, Barbara C. and Weischenfeldt, Joachim and Buchhalter, Ivo and Kleinheinz, Kortine and Rudneva, Vasilisa A. and Johann, Pascal D. and Balasubramanian, Gnana Prakash and Segura-Wang, Maia and Brabetz, Sebastian and Bender, Sebastian and Hutter, Barbara and Sturm, Dominik and Pfaff, Elke and H{\"u}bschmann, Daniel and Zipprich, Gideon and Heinold, Michael and Eils, J{\"u}rgen and Lawerenz, Christian and Erkek, Serap and Lambo, Sander and Waszak, Sebastian and Blattmann, Claudia and Borkhardt, Arndt and Kuhlen, Michaela and Eggert, Angelika and Fulda, Simone and Gessler, Manfred and Wegert, Jenny and Kappler, Roland and Baumhoer, Daniel and Stefan, Burdach and Kirschner-Schwabe, Renate and Kontny, Udo and Kulozik, Andreas E. and Lohmann, Dietmar and Hettmer, Simone and Eckert, Cornelia and Bielack, Stefan and Nathrath, Michaela and Niemeyer, Charlotte and Richter, G{\"u}nther H. and Schulte, Johannes and Siebert, Reiner and Westermann, Frank and Molenaar, Jan J. and Vassal, Gilles and Witt, Hendrik and Burkhardt, Birgit and Kratz, Christian P. and Witt, Olaf and van Tilburg, Cornelis M. and Kramm, Christof M. and Fleischhack, Gudrun and Dirksen, Uta and Rutkowski, Stefan and Fr{\"u}hwald, Michael and Hoff, Katja von and Wolf, Stephan and Klingebeil, Thomas and Koscielniak, Ewa and Landgraf, Pablo and Koster, Jan and Resnick, Adam C. and Zhang, Jinghui and Liu, Yanling and Zhou, Xin and Waanders, Angela J. and Zwijnenburg, Danny A. and Raman, Pichai and Brors, Benedikt and Weber, Ursula D. and Northcott, Paul A. and Pajtler, Kristian W. and Kool, Marcel and Piro, Rosario M. and Korbel, Jan O. and Schlesner, Matthias and Eils, Roland and Jones, David T. W. and Lichter, Peter and Chavez, Lukas and Zapatka, Marc and Pfister, Stefan M.},
  title     = {The landscape of genomic alterations across childhood cancers},
  series = {Nature},
  volume    = {555},
  journal   = {Nature},
  organization    = {ICGC PedBrain-Seq Project, ICGC MMML-Seq Project,},
  doi       = {10.1038/nature25480},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-229579},
  pages     = {321-327},
  year      = {2018},
  abstract  = {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.},
  language  = {en}
}