@article{KatoLuRapaportetal.2013,
  author    = {Kato, Hiroki and Lu, Qiping and Rapaport, Doron and Kozjak-Pavlovic, Vera},
  title     = {Tom70 Is Essential for PINK1 Import into Mitochondria},
  series = {PLoS ONE},
  volume    = {8},
  journal   = {PLoS ONE},
  number    = {3},
  doi       = {10.1371/journal.pone.0058435},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131061},
  pages     = {e58435},
  year      = {2013},
  abstract  = {PTEN induced kinase 1 (PINK1) is a serine/threonine kinase in the outer membrane of mitochondria (OMM), and known as a responsible gene of Parkinson's disease (PD). The precursor of PINK1 is synthesized in the cytosol and then imported into the mitochondria via the translocase of the OMM (TOM) complex. However, a large part of PINK1 import mechanism remains unclear. In this study, we examined using cell-free system the mechanism by which PINK1 is targeted to and assembled into mitochondria. Surprisingly, the main component of the import channel, Tom40 was not necessary for PINK1 import. Furthermore, we revealed that the import receptor Tom70 is essential for PINK1 import. In addition, we observed that although PINK1 has predicted mitochondrial targeting signal, it was not processed by the mitochondrial processing peptidase. Thus, our results suggest that PINK1 is imported into mitochondria by a unique pathway that is independent of the TOM core complex but crucially depends on the import receptor Tom70.},
  language  = {en}
}
@article{SzklarczykMorrisCooketal.2017,
  author    = {Szklarczyk, Damian and Morris, John H. and Cook, Helen and Kuhn, Michael and Wyder, Stefan and Simonovic, Milan and Santos, Aalberto and Doncheva, Nadezhda T. and Roth, Alexander and Bork, Peer and Jensen, Lars J. and von Mering, Christian},
  title     = {The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible},
  series = {Nucleic Acids Research},
  volume    = {45},
  journal   = {Nucleic Acids Research},
  number    = {D1},
  doi       = {10.1093/nar/gkw937},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-181445},
  pages     = {D362-D368},
  year      = {2017},
  abstract  = {A system-wide understanding of cellular function requires knowledge of all functional interactions between the expressed proteins. The STRING database aims to collect and integrate this information, by consolidating known and predicted protein-protein association data for a large number of organisms. The associations in STRING include direct (physical) interactions, as well as indirect (functional) interactions, as long as both are specific and biologically meaningful. Apart from collecting and reassessing available experimental data on protein-protein interactions, and importing known pathways and protein complexes from curated databases, interaction predictions are derived from the following sources: (i) systematic co-expression analysis, (ii) detection of shared selective signals across genomes, (iii) automated text-mining of the scientific literature and (iv) computational transfer of interaction knowledge between organisms based on gene orthology. In the latest version 10.5 of STRING, the biggest changes are concerned with data dissemination: the web frontend has been completely redesigned to reduce dependency on outdated browser technologies, and the database can now also be queried from inside the popular Cytoscape software framework. Further improvements include automated background analysis of user inputs for functional enrichments, and streamlined download options. The STRING resource is available online, at http://string-db.org/.},
  language  = {en}
}