TY - JOUR A1 - Dech, Stefan A1 - Holzwarth, Stefanie A1 - Asam, Sarah A1 - Andresen, Thorsten A1 - Bachmann, Martin A1 - Boettcher, Martin A1 - Dietz, Andreas A1 - Eisfelder, Christina A1 - Frey, Corinne A1 - Gesell, Gerhard A1 - Gessner, Ursula A1 - Hirner, Andreas A1 - Hofmann, Matthias A1 - Kirches, Grit A1 - Klein, Doris A1 - Klein, Igor A1 - Kraus, Tanja A1 - Krause, Detmar A1 - Plank, Simon A1 - Popp, Thomas A1 - Reinermann, Sophie A1 - Reiners, Philipp A1 - Roessler, Sebastian A1 - Ruppert, Thomas A1 - Scherbachenko, Alexander A1 - Vignesh, Ranjitha A1 - Wolfmueller, Meinhard A1 - Zwenzner, Hendrik A1 - Kuenzer, Claudia T1 - Potential and challenges of harmonizing 40 years of AVHRR data: the TIMELINE experience JF - Remote Sensing N2 - Earth Observation satellite data allows for the monitoring of the surface of our planet at predefined intervals covering large areas. However, there is only one medium resolution sensor family in orbit that enables an observation time span of 40 and more years at a daily repeat interval. This is the AVHRR sensor family. If we want to investigate the long-term impacts of climate change on our environment, we can only do so based on data that remains available for several decades. If we then want to investigate processes with respect to climate change, we need very high temporal resolution enabling the generation of long-term time series and the derivation of related statistical parameters such as mean, variability, anomalies, and trends. The challenges to generating a well calibrated and harmonized 40-year-long time series based on AVHRR sensor data flown on 14 different platforms are enormous. However, only extremely thorough pre-processing and harmonization ensures that trends found in the data are real trends and not sensor-related (or other) artefacts. The generation of European-wide time series as a basis for the derivation of a multitude of parameters is therefore an extremely challenging task, the details of which are presented in this paper. KW - AVHRR KW - Earth Observation KW - harmonization KW - time series analysis KW - climate related trends KW - automatic processing KW - Europe KW - TIMELINE Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-246134 SN - 2072-4292 VL - 13 IS - 18 ER - TY - JOUR A1 - Göbel, Kerstin A1 - Pankratz, Susann A1 - Asaridou, Chloi-Magdalini A1 - Herrmann, Alexander M. A1 - Bittner, Stefan A1 - Merker, Monika A1 - Ruck, Tobias A1 - Glumm, Sarah A1 - Langhauser, Friederike A1 - Kraft, Peter A1 - Krug, Thorsten F. A1 - Breuer, Johanna A1 - Herold, Martin A1 - Gross, Catharina C. A1 - Beckmann, Denise A1 - Korb-Pap, Adelheid A1 - Schuhmann, Michael K. A1 - Kuerten, Stefanie A1 - Mitroulis, Ioannis A1 - Ruppert, Clemens A1 - Nolte, Marc W. A1 - Panousis, Con A1 - Klotz, Luisa A1 - Kehrel, Beate A1 - Korn, Thomas A1 - Langer, Harald F. A1 - Pap, Thomas A1 - Nieswandt, Bernhard A1 - Wiendl, Heinz A1 - Chavakis, Triantafyllos A1 - Kleinschnitz, Christoph A1 - Meuth, Sven G. T1 - Blood coagulation factor XII drives adaptive immunity during neuroinflammation via CD87-mediated modulation of dendritic cells JF - Nature Communications N2 - Aberrant immune responses represent the underlying cause of central nervous system (CNS) autoimmunity, including multiple sclerosis (MS). Recent evidence implicated the crosstalk between coagulation and immunity in CNS autoimmunity. Here we identify coagulation factor XII (FXII), the initiator of the intrinsic coagulation cascade and the kallikrein–kinin system, as a specific immune cell modulator. High levels of FXII activity are present in the plasma of MS patients during relapse. Deficiency or pharmacologic blockade of FXII renders mice less susceptible to experimental autoimmune encephalomyelitis (a model of MS) and is accompanied by reduced numbers of interleukin-17A-producing T cells. Immune activation by FXII is mediated by dendritic cells in a CD87-dependent manner and involves alterations in intracellular cyclic AMP formation. Our study demonstrates that a member of the plasmatic coagulation cascade is a key mediator of autoimmunity. FXII inhibition may provide a strategy to combat MS and other immune-related disorders. KW - blood coagulation KW - factor XII KW - neuroinflammation KW - dendric cells Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-165503 VL - 7 IS - 11626 ER - TY - JOUR A1 - Schulz, Herbert A1 - Ruppert, Ann-Kathrin A1 - Herms, Stefan A1 - Wolf, Christiane A1 - Mirza-Schreiber, Nazanin A1 - Stegle, Oliver A1 - Czamara, Darina A1 - Forstner, Andreas J. A1 - Sivalingam, Sugirthan A1 - Schoch, Susanne A1 - Moebus, Susanne A1 - Pütz, Benno A1 - Hillmer, Axel A1 - Fricker, Nadine A1 - Vatter, Hartmut A1 - Müller-Myhsok, Bertram A1 - Nöthen, Markus M. A1 - Becker, Albert J. A1 - Hoffmann, Per A1 - Sander, Thomas A1 - Cichon, Sven T1 - Genome-wide mapping of genetic determinants influencing DNA methylation and gene expression in human hippocampus JF - Nature Communications N2 - 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. KW - psychiatry KW - epigenetics in the nervous system KW - epigenomics KW - gene expression KW - neurological disorders Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-173168 VL - 8 ER -