@article{MayrKuenzerGessneretal.2019,
  author    = {Mayr, Stefan and Kuenzer, Claudia and Gessner, Ursula and Klein, Igor and Rutzinger, Martin},
  title     = {Validation of earth observation time-series: a review for large-area and temporally dense land surface products},
  series = {Remote Sensing},
  volume    = {11},
  journal   = {Remote Sensing},
  number    = {22},
  issn      = {2072-4292},
  doi       = {10.3390/rs11222616},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-193202},
  year      = {2019},
  abstract  = {Large-area remote sensing time-series offer unique features for the extensive investigation of our environment. Since various error sources in the acquisition chain of datasets exist, only properly validated results can be of value for research and downstream decision processes. This review presents an overview of validation approaches concerning temporally dense time-series of land surface geo-information products that cover the continental to global scale. Categorization according to utilized validation data revealed that product intercomparisons and comparison to reference data are the conventional validation methods. The reviewed studies are mainly based on optical sensors and orientated towards global coverage, with vegetation-related variables as the focus. Trends indicate an increase in remote sensing-based studies that feature long-term datasets of land surface variables. The hereby corresponding validation efforts show only minor methodological diversification in the past two decades. To sustain comprehensive and standardized validation efforts, the provision of spatiotemporally dense validation data in order to estimate actual differences between measurement and the true state has to be maintained. The promotion of novel approaches can, on the other hand, prove beneficial for various downstream applications, although typically only theoretical uncertainties are provided.},
  language  = {en}
}
@article{DammertBraegelmannOlsenetal.2019,
  author    = {Dammert, Marcel A. and Br{\"a}gelmann, Johannes and Olsen, Rachelle R. and B{\"o}hm, Stefanie and Monhasery, Niloufar and Whitney, Christopher P. and Chalishazar, Milind D. and Tumbrink, Hannah L. and Guthrie, Matthew R. and Klein, Sebastian and Ireland, Abbie S. and Ryan, Jeremy and Schmitt, Anna and Marx, Annika and Ozretić, Luka and Castiglione, Roberta and Lorenz, Carina and Jachimowicz, Ron D. and Wolf, Elmar and Thomas, Roman K. and Poirier, John T. and B{\"u}ttner, Reinhard and Sen, Triparna and Byers, Lauren A. and Reinhardt, H. Christian and Letai, Anthony and Oliver, Trudy G. and Sos, Martin L.},
  title     = {MYC paralog-dependent apoptotic priming orchestrates a spectrum of vulnerabilities in small cell lung cancer},
  series = {Nature Communications},
  volume    = {10},
  journal   = {Nature Communications},
  doi       = {10.1038/s41467-019-11371-x},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223569},
  year      = {2019},
  abstract  = {MYC paralogs are frequently activated in small cell lung cancer (SCLC) but represent poor drug targets. Thus, a detailed mapping of MYC-paralog-specific vulnerabilities may help to develop effective therapies for SCLC patients. Using a unique cellular CRISPR activation model, we uncover that, in contrast to MYCN and MYCL, MYC represses BCL2 transcription via interaction with MIZ1 and DNMT3a. The resulting lack of BCL2 expression promotes sensitivity to cell cycle control inhibition and dependency on MCL1. Furthermore, MYC activation leads to heightened apoptotic priming, intrinsic genotoxic stress and susceptibility to DNA damage checkpoint inhibitors. Finally, combined AURK and CHK1 inhibition substantially prolongs the survival of mice bearing MYC-driven SCLC beyond that of combination chemotherapy. These analyses uncover MYC-paralog-specific regulation of the apoptotic machinery with implications for genotype-based selection of targeted therapeutics in SCLC patients.},
  language  = {en}
}