@misc{PratHajnýGrunewaldetal.2018,
  author    = {Pr{\´a}t, Tom{\´a}š and Hajny', Jakub and Grunewald, Wim and Vasileva, Mina and Moln{\´a}r, Gergely and Tejos, Ricardo and Schmid, Markus and Sauer, Michael and Friml, Jiř{\´i}},
  title     = {WRKY23 is a component of the transcriptional network mediating auxin feedback on PIN polarity},
  series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe},
  number    = {1123},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-44633},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-446331},
  pages     = {20},
  year      = {2018},
  abstract  = {Auxin is unique among plant hormones due to its directional transport that is mediated by the polarly distributed PIN auxin transporters at the plasma membrane. The canalization hypothesis proposes that the auxin feedback on its polar flow is a crucial, plant-specific mechanism mediating multiple self-organizing developmental processes. Here, we used the auxin effect on the PIN polar localization in Arabidopsis thaliana roots as a proxy for the auxin feedback on the PIN polarity during canalization. We performed microarray experiments to find regulators of this process that act downstream of auxin. We identified genes that were transcriptionally regulated by auxin in an AXR3/IAA17-and ARF7/ARF19-dependent manner. Besides the known components of the PIN polarity, such as PID and PIP5K kinases, a number of potential new regulators were detected, among which the WRKY23 transcription factor, which was characterized in more detail. Gain-and loss-of-function mutants confirmed a role for WRKY23 in mediating the auxin effect on the PIN polarity. Accordingly, processes requiring auxin-mediated PIN polarity rearrangements, such as vascular tissue development during leaf venation, showed a higher WRKY23 expression and required the WRKY23 activity. Our results provide initial insights into the auxin transcriptional network acting upstream of PIN polarization and, potentially, canalization-mediated plant development.},
  language  = {en}
}
@article{PratHajnyGrunewaldetal.2018,
  author    = {Prat, Tomas and Hajny, Jakub and Grunewald, Wim and Vasileva, Mina and Molnar, Gergely and Tejos, Ricardo and Schmid, Markus and Sauer, Michael and Friml, Jiř{\´i}},
  title     = {WRKY23 is a component of the transcriptional network mediating auxin feedback on PIN polarity},
  series = {PLoS Genetics : a peer-reviewed, open-access journal},
  volume    = {14},
  journal   = {PLoS Genetics : a peer-reviewed, open-access journal},
  number    = {1},
  publisher = {PLoS},
  address   = {San Fransisco},
  issn      = {1553-7404},
  doi       = {10.1371/journal.pgen.1007177},
  pages     = {18},
  year      = {2018},
  abstract  = {Auxin is unique among plant hormones due to its directional transport that is mediated by the polarly distributed PIN auxin transporters at the plasma membrane. The canalization hypothesis proposes that the auxin feedback on its polar flow is a crucial, plant-specific mechanism mediating multiple self-organizing developmental processes. Here, we used the auxin effect on the PIN polar localization in Arabidopsis thaliana roots as a proxy for the auxin feedback on the PIN polarity during canalization. We performed microarray experiments to find regulators of this process that act downstream of auxin. We identified genes that were transcriptionally regulated by auxin in an AXR3/IAA17-and ARF7/ARF19-dependent manner. Besides the known components of the PIN polarity, such as PID and PIP5K kinases, a number of potential new regulators were detected, among which the WRKY23 transcription factor, which was characterized in more detail. Gain-and loss-of-function mutants confirmed a role for WRKY23 in mediating the auxin effect on the PIN polarity. Accordingly, processes requiring auxin-mediated PIN polarity rearrangements, such as vascular tissue development during leaf venation, showed a higher WRKY23 expression and required the WRKY23 activity. Our results provide initial insights into the auxin transcriptional network acting upstream of PIN polarization and, potentially, canalization-mediated plant development.},
  language  = {en}
}
@article{ChatterjeeStavrakasOreggionietal.2022,
  author    = {Chatterjee, Souran and Stavrakas, Vassilis and Oreggioni, Gabriel and S{\"u}sser, Diana and Staffell, Iain and Lilliestam, Johan and Molnar, Gergely and Flamos, Alexandros and {\"U}rge-Vorsatz, Diana},
  title     = {Existing tools, user needs and required model adjustments for energy demand modelling of a carbon-neutral Europe},
  series = {Energy research \& social science},
  volume    = {90},
  journal   = {Energy research \& social science},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2214-6296},
  doi       = {10.1016/j.erss.2022.102662},
  pages     = {20},
  year      = {2022},
  abstract  = {To achieve the European Union's target for climate neutrality by 2050 reduced energy demand will make the transition process faster and cheaper. The role of policies that support energy efficiency measures and demand-side management practices will be critical and to ensure that energy demand models are relevant to policymakers and other end-users, understanding how to further improve the models and whether they are tailored to user needs to support efficient decision-making processes is crucial. So far though, no scientific studies have examined the key user needs for energy demand modelling in the context of the climate neutrality targets. In this article we address this gap using a multi-method approach based on empirical and desk research. Through survey and stakeholder meetings and workshops we identify user needs of different stakeholder groups, and we highlight the direction in which energy demand models need to be improved to be relevant to their users. Through a detailed review of existing energy demand models, we provide a full understanding of the key characteristics and capabilities of existing tools, and we identify their limitations and gaps. Our findings show that classical demand-related questions remain important to model users, while most of the existing models can answer these questions. Furthermore, we show that some of the user needs related to sectoral demand modelling, dictated by the latest policy developments, are under-researched and are not addressed by existing tools.},
  language  = {en}
}