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MPG Resources

Scientific Publications

Publication Overview

Journal Article (2226)

  1. 1.
    Lehrach, H.: Virtual Clinical Trials, an Essential Step in Increasing the Effectiveness of the Drug Development Process. Public Health Genomics (2051)
  2. 2.
    Lorenz, C.; Lesimple, P.; Bukowiecki, R.; Zink, A.; Inak, G.; Mlody, B.; Singh, M.; Semtner, M.; Mah, N.; Auré, K. et al.; Leong, M.; Zabiegalov, O.; Lyras, E.-M.; Pfiffer, V.; Fauler, B.; Eichhorst, J.; Wiesner, B.; Huebner, N.; Priller, J.; Mielke, T.; Meierhofer, D.; Izsvák, Z.; Meier, J. C.; Bouillaud, F.; Adjaye, J.; Schuelke, M.; Wanker, E. E.; Lombès, A.; Prigione, A.: Human iPSC-Derived Neural Progenitors Are an Effective Drug Discovery Model for Neurological mtDNA Disorders. Cell Stem Cell 20, pp. 1 - 16 (2017)
  3. 3.
    Love, M. I.; Huska, M.; Jurk, M.; Schöpflin, R.; Starick, S. R.; Schwahn, K.; Cooper, S. B.; Yamamoto, K. R.; Thomas-Chollier, M.; Vingron, M. et al.; Meijsing, S. H.: Role of the chromatin landscape and sequence in determining cell type-specific genomic glucocorticoid receptor binding and gene regulation. Nucleic Acids Research (London) 45 (4), pp. 1805 - 1819 (2017)
  4. 4.
    Seidel, G.; Meierhofer, D.; Şen, N.-E.; Guenther, A.; Krobitsch, S.; Auburger, G.: Quantitative Global Proteomics of Yeast PBP1 Deletion Mutants and Their Stress Responses Identifies Glucose Metabolism, Mitochondrial, and Stress Granule Changes. Journal of Proteome Research 16 (2), pp. 504 - 515 (2017)
  5. 5.
    Yu , V. W. C.; Yusuf , R. Z.; Oki , T.; Wu, J.; Saez, B.; Wang, X.; Cook , C.; Baryawno , N.; Ziller , M. J.; Lee , E. et al.; Gu, H.; Meissner, A.; Lin, C. P.; Kharchenko, P. V.; Scadden , D. T.: Epigenetic Memory Underlies Cell-Autonomous Heterogeneous Behavior of Hematopoietic Stem Cells - Correction. Cell 168 (5), pp. 944 - 945 (2017)
  6. 6.
    Fenouil, R.; Descostes, N.; Spinelli, .; Koch, F.; Maqbool, M. A.; Benoukraf, T.; Cauchy, P.; Innocenti , C.; Ferrier , P.; Andrau, J.-C.: Pasha: a versatile R package for piling chromatin HTS data. Bioinformatics 32 (16), pp. 2528 - 2530 (2016)
  7. 7.
    Hackmann, K.; Rump, A.; Haas, S.; Lemke, J. R.; Fryns, J.-P.; Tzschach, A.; Wieczorek, D.; Albrecht, B.; Kuechler, A.; Rippberger, T. et al.; Kobelt, A.; Oexle, K.; Tinschert, S.; Schrock, E.; Kalscheuer, V. M.; Di Donato, N.: Tentative clinical diagnosis of Lujan-Fryns syndrome--A conglomeration of different genetic entities? American Journal of Medical Genetics Part A 170A (1), pp. 94 - 102 (2016)
  8. 8.
    Aguilar, C. A.; Pop, R.; Shcherbina, A.; Watts, A.; Matheny Jr., R. W.; Cacchiarelli, D.; Han, W. M.; Shin, E.; Nakhai, S. A.; Jang, Y. C. et al.; Carrigan, C. T.; Gifford, C. A.; Kottke, M. A.; Cesana, M.; Lee, J.; Urso, M. L.; Meissner, A.: Transcriptional and Chromatin Dynamics of Muscle Regeneration after Severe Trauma. Stem Cell Reports 7 (5), pp. 983 - 997 (2016)
  9. 9.
    Alam, M. T.; Zelezniak, A.; Mülleder, M.; Shliaha, P.; Schwarz, R.; Capuano, F.; Vowinckel, J.; Radmanesfahar , E.; Krüger, A.; Calvani , E. et al.; Michel, S.; Börno, S. T.; Christen, S.; Patil , K. R.; Timmermann, B.; Lilley, K. S.; Ralser, M.: The metabolic background is a global player in Saccharomyces gene expression epistasis. Nature Microbiology (2016)
  10. 10.
    Ancherbak, S.; Kuruoglu, E. E.; Vingron, M.: Time-Dependent Gene Network Modelling by Sequential Monte Carlo. IEEE ACM Transactions on Computational Biology and Bioinformatics 13 (6), pp. 1183 - 1193 (2016)
  11. 11.
    Andrey, G.; Schöpflin, R.; Jerković, I.; Heinrich, V.; Ibrahim, D.; Paliou, C.; Hochradel, M.; Timmermann, B.; Haas, S.; Vingron, M. et al.; Mundlos, S.: Characterization of hundreds of regulatory landscapes in developing limbs reveals two regimes of chromatin folding. Genome Research (2016)
  12. 12.
    Apelt, L.; Knockenhauer, K. E.; Leksa, N. C.; Benlasfer, N.; Schwartz, T. U.; Stelzl, U.: Systematic Protein-Protein Interaction Analysis Reveals Intersubcomplex Contacts in the Nuclear Pore Complex. Molecular and Cellular Proteomics 15 (8), pp. 2594 - 2606 (2016)
  13. 13.
    Aretz, I.; Hardt, C.; Wittig, I.; Meierhofer, D.: An impaired respiratory electron chain triggers down-regulation of the energy metabolism and de-ubiquitination of solute carrier amino acid transporters . Molecular and Cellular Proteomics 15 (5), pp. 1526 - 1538 (2016)
  14. 14.
    Aretz, I.; Meierhofer, D.: Advantages and Pitfalls of Mass Spectrometry Based Metabolome Profiling in Systems Biology. International Journal of Molecular Sciences (2016)
  15. 15.
    Batalha, V.; Ferreira, D. G.; Coelho, J. E.; Valadas, J. S.; Gomes, R.; Temido-Ferreira, M.; Shmidt, T.; Baqi, Y.; Buée, L.; Müller, C. E. et al.; Hamdane, M.; Outeiro, T. F.; Bader, M.; Meijsing, S.; Sadri-Vakili, G.; Blum, D.; Lopes, L. V.: The caffeine-binding adenosine A2A receptor induces age-like HPA-axis dysfunction by targeting glucocorticoid receptor function. Scientific Reports (2016)
  16. 16.
    Broecker, F.; Hardt, C.; Herwig, R.; Timmermann, B.; Kerick, M.; Wunderlich, A.; Schweiger, M. R.; Borsig, L.; Heikenwalder, M.; Lehrach, H. et al.; Mölling, K.: Transcriptional signature induced by a C-terminal c-Src mutant in a human breast cell line. FEBS Journal 283 (9), pp. 1669 - 1688 (2016)
  17. 17.
    Broecker, F.; Hardt, C.; Herwig, R.; Timmermann, B.; Kerick, M.; Wunderlich, A.; Schweiger, M. R.; Borsig, L.; Heikenwalder, M.; Lehrach, H. et al.; Moelling, K.: Transcriptional signature induced by a metastasis-promoting c-Src mutant in a human breast cell line. The FEBS Journal 283 (9), pp. 1669 - 1688 (2016)
  18. 18.
    Budach, S.; Heinig, M.; Marsico, A.: Principles of microRNA Regulation Revealed Through Modeling microRNA Expression. Genetics 203 (4), pp. 1629 - 1640 (2016)
  19. 19.
    Castelo-Branco, P.; Leão, R.; Lipman, T.; Campbell, B.; Lee, D.; Price, A.; Zhang, C.; Heidari, A.; Stephens, D.; Boerno, S. T. et al.; Coelho, H.; Gomes, A.; Domingos, C.; Apolonio, J. D.; Schäfer, G.; Bristow, R. G.; Schweiger, M. R.; Hamilton, R.; Zlotta, A.; Figueiredo, A.; Helmut, K.; Sültmann, H.; Tabori, U.: A cancer specific hypermethylation signature of the TERT promoter predicts biochemical relapse in prostate cancer: A retrospective cohort study. Oncotarget (2016)
  20. 20.
    Chung, H.-R.; Xu, C.; Fuchs, A.; Mund, A.; Lange, M.; Staege, H.; Schubert, T.; Bian, C.; Dunkel, I.; Eberharter, A. et al.; Regnard, C.; Klinker, H.; Meierhofer, D.; Cozzuto, L.; Winterpracht, A.; Di Croce, L.; Min, J.; Will, H.; Kinkley, S.: PHF13 is a molecular reader and transcriptional co-regulator of H3K4me2/3. eLife (2016)
 
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