@article{BalkenholKaltdorfMammadovaBachetal.2020,
  author    = {Balkenhol, Johannes and Kaltdorf, Kristin V. and Mammadova-Bach, Elmina and Braun, Attila and Nieswandt, Bernhard and Dittrich, Marcus and Dandekar, Thomas},
  title     = {Comparison of the central human and mouse platelet signaling cascade by systems biological analysis},
  series = {BMC Genomics},
  volume    = {21},
  journal   = {BMC Genomics},
  doi       = {10.1186/s12864-020-07215-4},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-230377},
  year      = {2020},
  abstract  = {Background Understanding the molecular mechanisms of platelet activation and aggregation is of high interest for basic and clinical hemostasis and thrombosis research. The central platelet protein interaction network is involved in major responses to exogenous factors. This is defined by systemsbiological pathway analysis as the central regulating signaling cascade of platelets (CC). Results The CC is systematically compared here between mouse and human and major differences were found. Genetic differences were analysed comparing orthologous human and mouse genes. We next analyzed different expression levels of mRNAs. Considering 4 mouse and 7 human high-quality proteome data sets, we identified then those major mRNA expression differences (81\%) which were supported by proteome data. CC is conserved regarding genetic completeness, but we observed major differences in mRNA and protein levels between both species. Looking at central interactors, human PLCB2, MMP9, BDNF, ITPR3 and SLC25A6 (always Entrez notation) show absence in all murine datasets. CC interactors GNG12, PRKCE and ADCY9 occur only in mice. Looking at the common proteins, TLN1, CALM3, PRKCB, APP, SOD2 and TIMP1 are higher abundant in human, whereas RASGRP2, ITGB2, MYL9, EIF4EBP1, ADAM17, ARRB2, CD9 and ZYX are higher abundant in mouse. Pivotal kinase SRC shows different regulation on mRNA and protein level as well as ADP receptor P2RY12. Conclusions Our results highlight species-specific differences in platelet signaling and points of specific fine-tuning in human platelets as well as murine-specific signaling differences.},
  language  = {en}
}
@article{MartinSchlosserFurtwaengleretal.2021,
  author    = {Mart{\´i}n, Ovidio Jim{\´e}nez and Schlosser, Andreas and Furtw{\"a}ngler, Rhoikos and Wegert, Jenny and Gessler, Manfred},
  title     = {MYCN and MAX alterations in Wilms tumor and identification of novel N-MYC interaction partners as biomarker candidates},
  series = {Cancer Cell International},
  volume    = {21},
  journal   = {Cancer Cell International},
  doi       = {10.1186/s12935-021-02259-2},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-265542},
  year      = {2021},
  abstract  = {Background Wilms tumor (WT) is the most common renal tumor in childhood. Among others, MYCN copy number gain and MYCN P44L and MAX R60Q mutations have been identified in WT. MYCN encodes a transcription factor that requires dimerization with MAX to activate transcription of numerous target genes. MYCN gain has been associated with adverse prognosis in different childhood tumors including WT. The MYCN P44L and MAX R60Q mutations, located in either the transactivating or basic helix-loop-helix domain, respectively, are predicted to be damaging by different pathogenicity prediction tools, but the functional consequences remain to be characterized. Methods We screened a large cohort of unselected WTs for MYCN and MAX alterations. Wild-type and mutant protein function were characterized biochemically, and we analyzed the N-MYC protein interactome by mass spectrometric analysis of N-MYC containing protein complexes. Results Mutation screening revealed mutation frequencies of 3\% for MYCN P44L and 0.9\% for MAX R60Q that are associated with a higher risk of relapse. Biochemical characterization identified a reduced transcriptional activation potential for MAX R60Q, while the MYCN P44L mutation did not change activation potential or protein stability. The protein interactome of N-MYC-P44L was likewise not altered as shown by mass spectrometric analyses of purified N-MYC complexes. Nevertheless, we could identify a number of novel N-MYC partner proteins, e.g. PEG10, YEATS2, FOXK1, CBLL1 and MCRS1, whose expression is correlated with MYCN in WT samples and several of these are known for their own oncogenic potential. Conclusions The strongly elevated risk of relapse associated with mutant MYCN and MAX or elevated MYCN expression corroborates their role in WT oncogenesis. Together with the newly identified co-expressed interactors they expand the range of potential biomarkers for WT stratification and targeting, especially for high-risk WT.},
  language  = {en}
}