Publikationen der Gruppe

Zeitschriftenartikel (273)

  1. 1.
    Cubillos, A.; Tong, H.; Alseekh, S.; de Abreu e Lima, F.; Yu, J.; Fernie, A. R.; Nikoloski, Z.; Laitinen, R.: Inheritance patterns in metabolism and growth in diallel crosses of Arabidopsis thaliana from a single growth habitat. Heredity 120, S. 463 - 473 (2018)
  2. 2.
    Kosmacz, M.; Luzarowski, M.; Kerber, O.; Leniak, E.; Gutierrez-Beltran, E.; Moreno, J.C.; Gorka, M.; Szlachetko, J.; Veyel, D.; Graf, A. et al.; Skirycz, A.: Interaction of 2 ',3 '-cAMP with Rbp47b Plays a Role in Stress Granule Formation. Plant Physiology 177 (1), S. 411 - 421 (2018)
  3. 3.
    Wen, W.; Jin, M.; Li, K.; Liu, H.; Xiao, Y.; Zhao, M.; Alseekh, S.; Li, W.; de Abreu e Lima, F.; Brotman, Y. et al.; Willmitzer, L.; Fernie, A. R.; Yan, J.: An integrated multi-layered analysis of the metabolic networks of different tissues uncovers key genetic components of primary metabolism in maize. The Plant Journal 93 (6), S. 1116 - 1128 (2018)
  4. 4.
    Wu, S.; Tohge, T.; Cuadros-Inostroza, A. C.; Tong, H.; Tenenboim, H.; Kooke, R.; Méret, M.; Keurentjes, J. B.; Nikoloski, Z.; Fernie, A. R. et al.; Willmitzer, L.; Brotman, Y.: Mapping the Arabidopsis Metabolic Landscape by Untargeted Metabolomics at Different Environmental Conditions. Molecular Plant 11 (1), S. 118 - 134 (2018)
  5. 5.
    de Abreu e Lima, F.; Willmitzer, L.; Nikoloski, Z.: Classification-driven framework to predict maize hybrid field performance from metabolic profiles of young parental roots. PLoS One 13 (4), e0196038 (2018)
  6. 6.
    de Abreu e Lima, F.; Li, K.; Wen, W.; Yan, J.; Nikoloski, Z.; Willmitzer, L.; Brotman, Y.: Unraveling lipid metabolism in maize with time-resolved multi-omics data. The Plant Journal 93 (6), S. 1102 - 1115 (2018)
  7. 7.
    Brotman, Y.; Kapuganti, J. G.; Viterbo, A.: Trichoderma. Current Biology 20 (9), S. R390 - R391 (2017)
  8. 8.
    Liu, M.-Y.; Burgos, A.; Ma, L.; Zhang, Q.; Tang, D.; Ruan, J.: Lipidomics analysis unravels the effect of nitrogen fertilization on lipid metabolism in tea plant (Camellia sinensis L.). BMC Plant Biology 17 (1), 165 (2017)
  9. 9.
    Bozek, K.; Khrameeva, E. E.; Reznick, J.; Omerbašić, D.; Bennett, N. C.; Lewin, G. R.; Azpurua, J.; Gorbunova, V.; Seluanov, A.; Regnard, P. et al.; Wanert, F.; Marchal, J.; Pifferi, F.; Aujard, F.; Liu, Z.; Shi, P.; Pääbo, S.; Schröder, F.; Willmitzer, L.; Giavalisco, P.; Khaitovich, P.: Lipidome determinants of maximal lifespan in mammals. Scientific Reports (2017)
  10. 10.
    Bucher, R.; Veyel, D.; Willmitzer, L.; Krattinger, S.; Keller, B.; Biglera, L.: Combined GC- and UHPLC-HR-MS Based Metabolomics to Analyze Durable Anti-fungal Resistance Processes in Cereals. Chimia 71 (4), S. 156 - 159 (2017)
  11. 11.
    Jin, M.; Zhang, X.; Zhao, M.; Deng, M.; Du, Y.; Zhou, Y.; Wang, S.; Tohge, T.; Fernie, A. R.; Willmitzer, L. et al.; Brotman, Y.; Yan, J.; Weiwei, W.: Integrated genomics-based mapping reveals the genetics underlying maize flavonoid biosynthesis. BMC Plant Biology 17 (1), 17 (2017)
  12. 12.
    Jueppner, J.; Mubeen, U.; Leisse, A.; Caldana, C.; Brus, H.; Steup, M.; Herrmann, M.; Steinhauser, D.; Giavalisco, P.: Dynamics of lipids and metabolites during the cell cycle of Chlamydomonas reinhardtii. The Plant Journal 92 (2), S. 331 - 343 (2017)
  13. 13.
    Li, Q.; Bozek, K.; Xu, C.; Guo, Y.; Sun, J.; Pääbo, S.; Sherwood, C. C.; Hof, P. R.; Ely, J. J.; Li, Y. et al.; Willmitzer, L.; Giavalisco, P.; Khaitovich, P.: Changes in lipidome composition during brain development in humans, chimpanzees, and macaque monkeys. Molecular Biology and Evolution 34 (5), S. 1155 - 1166 (2017)
  14. 14.
    Liu, M.-Y.; Burgos, A.; Zhang, Q.; Tang, D.; Shi, Y.; Ma, L.; Yi, X.; Ruan, J.: Analyses of transcriptome profiles and selected metabolites unravel the metabolic response to NH4+ and NO3− as signaling molecules in tea plant (Camellia sinensis L.). Scientia Horticulturae 218, S. 293 - 303 (2017)
  15. 15.
    Luzarowski, M.; Kosmacz, M.; Sokolowska, E.; Jasinska, W.; Willmitzer, L.; Veyel, D.; Skirycz, A.: Affinity purification with metabolomic and proteomic analysis unravels diverse roles of nucleoside diphosphate kinases. Journal of Experimental Botany 68 (13), S. 3487 - 3499 (2017)
  16. 16.
    Shnaider, Y.; Brotman, Y.; Perl-Treves, R.: To set or not to set: New tools to study the control of cucumber fruit set. Acta Horticulturae 1151, S. 175 - 182 (2017)
  17. 17.
    Smirnova, J.; Fernie, A. R.; Spahn, C. M.T.; Steup, M.: Photometric assay of maltose and maltose-forming enzyme activity by using 4-alpha-glucanotransferase (DPE2) from higher plants. Analytical Biochemistry 532, S. 72 - 82 (2017)
  18. 18.
    Swiadek, M.; Proost, S.; Sieh, D.; Yu, J.; Todesco, M.; Jorzig, C.; Cubillos, A.; Plötner, B.; Nikoloski, Z.; Chae, E. et al.; Giavalisco, P.; Fischer, A.; Schröder, F.; Kim, S.-T.; Weigel, D.; Laitinen, R.: Novel allelic variants in ACD6 cause hybrid necrosis in local collection of Arabidopsis thaliana. New Phytologist 213 (2), S. 900 - 915 (2017)
  19. 19.
    Veyel, D.; Kierszniowska, S.; Kosmacz, M.; Sokolowska, E.; Michaelis, A.; Luzarowski, M.; Szlachetko, J.; Willmitzer, L.; Skirycz, A.: System-wide detection of protein-small molecule complexes suggests extensive metabolite regulation in plants. Scientific Reports (2017)
  20. 20.
    Westhues, M.; Schrag, T. A.; Heuer, C.; Thaller, G.; Utz, H. F.; Schipprack, W.; Thiemann, A.; Seifert, F.; Ehret, A.; Schlereth, A. et al.; Stitt, M.; Nikoloski, Z.; Willmitzer, L.; Schoen, C. C.; Scholten, S.; Melchinger, A. E.: Omics-based hybrid prediction in maize. THEORETICAL AND APPLIED GENETICS 130 (9), S. 1927 - 1939 (2017)
 
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