Abstracts from the 8th International Conference on cGMP Generators, Effectors and Therapeutic Implications

This work was supported by a restricted research grant of Bayer AG

Catalog of locations of microseismic events accompanying the 2006-2007 fluid injection into the Basel Enhanced Geothermal System

Supplement data to Mukuhira et al. "Injection induced seismicity size distribution dependent on shear stress" published in Geophysical Research Letters (https://doi.org/10.1029/2020GL090934) This dataset contains the catalog of locations of microseismic events occurring in 2006-2007 that accompanied the fluid stimulation at the Basel Enhanced Geothermal System (EGS) site in Basel, Switzerland. The catalog includes event ID, occurrence date and time (trigger time), location, cluster ID and moment magnitude. The 1st row is a header line to explain data and units. The catalog was made using the multiplet analysis method by Asanuma et al., 2008 (Society of Exploration Geophysicists expanded abstract, 2008). For the detail, please see that paper, which is referenced below. Cluster ID 0 means non multiplet event (single event). The Catalog is the result of multiplet analysis performed using the 40-97 Hz frequency band of the waveforms. Hiroshi Asanuma, Yusuke Kumano, Hirokazu Moriya, Hiroaki Niitsuma, Ulrich Schanz, and Markus Häring, (2008), "Identification of microseismic multiplets in the frequency domain and interpretation of reservoir structure at Basel, Switzerland," SEG Technical Program Expanded Abstracts: 1451-1455.https://doi.org/10.1190/1.305918

Keep an eye on the task! How gender typicality of tasks influence human-robot interactions

Kuchenbrandt D, Häring M, Eichberg J, Eyssel FA, André E. Keep an eye on the task! How gender typicality of tasks influence human-robot interactions. In: Ge SS, Khatib O, Cabibihan JJ, Simmons R, Williams MA, eds. Social robotics. Lecture Notes in Computer Science. Vol 7621. Berlin, Heidelberg: Springer; 2012: 448-457

Identification of genetic elements in metabolism by high-throughput mouse phenotyping

Metabolic diseases are a worldwide problem but the underlying genetic factors and their relevance to metabolic disease remain incompletely understood. Genome-wide research is needed to characterize so-far unannotated mammalian metabolic genes. Here, we generate and analyze metabolic phenotypic data of 2016 knockout mouse strains under the aegis of the International Mouse Phenotyping Consortium (IMPC) and find 974 gene knockouts with strong metabolic phenotypes. 429 of those had no previous link to metabolism and 51 genes remain functionally completely unannotated. We compared human orthologues of these uncharacterized genes in five GWAS consortia and indeed 23 candidate genes are associated with metabolic disease. We further identify common regulatory elements in promoters of candidate genes. As each regulatory element is composed of several transcription factor binding sites, our data reveal an extensive metabolic phenotype-associated network of co-regulated genes. Our systematic mouse phenotype analysis thus paves the way for full functional annotation of the genome