% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Danciu:303215,
      author       = {D.-P. Danciu and F. Z. Klawe and A. Kazarnikov and L.
                      Femmer and E. Kostina and A. Martin-Villalba$^*$ and A.
                      Marciniak-Czochra},
      title        = {{U}nraveling regulatory feedback mechanisms in adult
                      neurogenesis through mathematical modelling.},
      journal      = {npj Systems biology and applications},
      volume       = {11},
      number       = {1},
      issn         = {2056-7189},
      address      = {London},
      publisher    = {Nature Publ. Group},
      reportid     = {DKFZ-2025-01566},
      pages        = {82},
      year         = {2025},
      abstract     = {Adult neurogenesis is defined as the process by which new
                      neurons are produced from neural stem cells in the adult
                      brain. A comprehensive understanding of the mechanisms that
                      regulate this process is essential for the development of
                      effective interventions aimed at decelerating the decline of
                      adult neurogenesis associated with ageing. Mathematical
                      models provide a valuable tool for studying the dynamics of
                      neural stem cells and their lineage, and have revealed
                      alterations in these processes during the ageing process.
                      The present study draws upon experimental data to explore
                      how these processes are modulated by investigating
                      regulatory feedback mechanisms among neural populations
                      through the lens of nonlinear differential equations models.
                      Our observations indicate that the time evolution of the
                      neural lineage is predominantly regulated by neural stem
                      cells, with more differentiated neural populations exerting
                      a comparatively weaker influence. Furthermore, we shed light
                      on the manner in which different subpopulations govern these
                      regulations and gain insights into the impact of specific
                      perturbations on the system.},
      cin          = {A290},
      ddc          = {570},
      cid          = {I:(DE-He78)A290-20160331},
      pnm          = {311 - Zellbiologie und Tumorbiologie (POF4-311)},
      pid          = {G:(DE-HGF)POF4-311},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40715178},
      doi          = {10.1038/s41540-025-00563-5},
      url          = {https://inrepo02.dkfz.de/record/303215},
}