@article{SchmitzRiesKodereretal.2021,
  author    = {Schmitz, Werner and Ries, Elena and Koderer, Corinna and V{\"o}lter, Maximilian Friedrich and W{\"u}nsch, Anna Chiara and El-Mesery, Mohamed and Frackmann, Kyra and K{\"u}bler, Alexander Christian and Linz, Christian and Seher, Axel},
  title     = {Cysteine restriction in murine L929 fibroblasts as an alternative strategy to methionine restriction in cancer therapy},
  series = {International Journal of Molecular Sciences},
  volume    = {22},
  journal   = {International Journal of Molecular Sciences},
  number    = {21},
  issn      = {1422-0067},
  doi       = {10.3390/ijms222111630},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-265486},
  year      = {2021},
  abstract  = {Methionine restriction (MetR) is an efficient method of amino acid restriction (AR) in cells and organisms that induces low energy metabolism (LEM) similar to caloric restriction (CR). The implementation of MetR as a therapy for cancer or other diseases is not simple since the elimination of a single amino acid in the diet is difficult. However, the in vivo turnover rate of cysteine is usually higher than the rate of intake through food. For this reason, every cell can enzymatically synthesize cysteine from methionine, which enables the use of specific enzymatic inhibitors. In this work, we analysed the potential of cysteine restriction (CysR) in the murine cell line L929. This study determined metabolic fingerprints using mass spectrometry (LC/MS). The profiles were compared with profiles created in an earlier work under MetR. The study was supplemented by proliferation studies using D-amino acid analogues and inhibitors of intracellular cysteine synthesis. CysR showed a proliferation inhibition potential comparable to that of MetR. However, the metabolic footprints differed significantly and showed that CysR does not induce classic LEM at the metabolic level. Nevertheless, CysR offers great potential as an alternative for decisive interventions in general and tumour metabolism at the metabolic level.},
  language  = {en}
}
@article{CecilGentschevAdelfingeretal.2019,
  author    = {Cecil, Alexander and Gentschev, Ivaylo and Adelfinger, Marion and Dandekar, Thomas and Szalay, Aladar A.},
  title     = {Vaccinia virus injected human tumors: oncolytic virus efficiency predicted by antigen profiling analysis fitted boolean models},
  series = {Bioengineered},
  volume    = {10},
  journal   = {Bioengineered},
  number    = {1},
  doi       = {10.1080/21655979.2019.1622220},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-200507},
  pages     = {190-196},
  year      = {2019},
  abstract  = {Virotherapy on the basis of oncolytic vaccinia virus (VACV) strains is a promising approach for cancer therapy. Recently, we showed that the oncolytic vaccinia virus GLV-1h68 has a therapeutic potential in treating human prostate and hepatocellular carcinomas in xenografted mice. In this study, we describe the use of dynamic boolean modeling for tumor growth prediction of vaccinia virus-injected human tumors. Antigen profiling data of vaccinia virus GLV-1h68-injected human xenografted mice were obtained, analyzed and used to calculate differences in the tumor growth signaling network by tumor type and gender. Our model combines networks for apoptosis, MAPK, p53, WNT, Hedgehog, the T-killer cell mediated cell death, Interferon and Interleukin signaling networks. The in silico findings conform very well with in vivo findings of tumor growth. Similar to a previously published analysis of vaccinia virus-injected canine tumors, we were able to confirm the suitability of our boolean modeling for prediction of human tumor growth after virus infection in the current study as well. In summary, these findings indicate that our boolean models could be a useful tool for testing of the efficacy of VACV-mediated cancer therapy already before its use in human patients.},
  language  = {en}
}