Publikationen

Ausgewählte Publikationen

• Hartmann L, Kristofori P, Li C, Becker K, Hexemer L, Bohn S, Lenhardt S, Weiss S, Voss B, Loewer A*, Legewie S*. Life Sci Alliance. 2024 Nov 14;8(1):e202402859. doi: 10.26508/lsa.202402859. Print 2025 Jan. PMID: 39542693 Free PMC article.
  
• Context-dependent effects of mutations on complex splicing decisions Congxin Li #, Sebastian Unic #, Monika Kuban, Mirko Brüggemann, Julian König, Kathi Zarnack, Stefan Legewie bioRxiv 2025.03.06.641829
  
• Coordinated alternative splicing decisions via stepwise exon definition Panajot Kristofori, Simon Braun, Anke Busch, Kathi Zarnack, Julian König, Stefan Legewie*, Congxin Li* bioRxiv 2024.12.18.629257
  
• Prieto-Garcia C, Matkovic V, Mosler T, Li C, Liang J, Oo JA, Haidle F, Mačinković I, Cabrera-Orefice A, Berkane R, Giuliani G, Xu F, Jacomin AC, Tomaskovic I, Basoglu M, Hoffmann ME, Rathore R, Cetin R, Boutguetait D, Bozkurt S, Hernández Cañás MC, Keller M, Busam J, Shah VJ, Wittig I, Kaulich M, Beli P, Galej WP, Ebersberger I, Wang L, Münch C, Stolz A, Brandes RP, Tse WKF, Eimer S, Stainier DYR, Legewie S, Zarnack K, Müller-McNicoll M, Dikic I. Science. 2024 Nov 15;386(6723):768-776. doi: 10.1126/science.adi5295. Epub 2024 Nov 14. PMID: 39541449
  
• Bohn S#, Hexemer L#, Huang Z, Strohmaier L, Lenhardt S, Legewie S*, Loewer A* (2023) State- and stimulus-specific dynamics of SMAD signaling determine fate decisions in individual cells. Proceedings of the National Academy of Sciences 120 (10) e2210891120. DOI: 10.1073/pnas.2210891120
  
• Horn T#, Gosliga A#, Li C, Enculescu M*, Legewie S* (2023) Position-dependent effects of RNA-binding proteins in the context of co-transcriptional splicing. npj Syst Biol Appl 9, 1
  
• Ebersberger S; Hipp C; Mulorz M; Buchbender A; Merzhakupova D; Kang H; Martínez-Lumbreras S; Kristofori P; Sutandy FXR; Allcca L; Schönfeld J; Bakisoglu C; Busch A; Hänel H; Welzel M; Di Liddo A; Möckel M; Zarnack K; Ebersberger I; Legewie S; Luck K; Sattler M; König J. FUBP1 is a general splicing factor facilitating 3' splice site recognition and splicing of long introns. Molecular Cell 83(15):2653-2672.e15. DOI: 10.1016/j.molcel.2023.07.002
  
• Cortés-López M#, Schulz L#, Enculescu M#, Paret C, Spiekermann B, Busch A, Orekhova A, Kielisch F, Quesnel-Vallières M, Torres-Diz M, Faber J, Barash Y, Thomas-Tikhonenko A, Zarnack K*, Legewie S*, König J* (2022) High-throughput mutagenesis identifies mutations and RNA-binding proteins controlling CD19 splicing and CART-19 therapy resistance. Nature communications 13, 5570
  
• Kolbe N#, Hexemer L#, Bammert LM, Loewer A, Lukáčová-Medviďová M*, Legewie S* (2022) Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signaling. PLoS Comput Biol 18(6): e101026
  
• Sarma U#, Hexemer L#, Anyaegbunam U#, Legewie S (2020) Modelling cellular signalling variability based on single-cell data: the TGFb/SMAD signaling pathway
  
• Enculescu M, Braun S, Setty ST, Zarnack K, König J and Legewie S (2020) Exon definition facilitates reliable control of alternative splicing. Biophysical Journal 118(8): 2027-2041
  
• Becker K, Bluhm A, Casas-Vilas N, Dinges N, Roignant JY, Butter F* and Legewie S* (2018). Quantifying post-transcriptional regulation in the development of D. melanogaster. Nature Communications 9: 4970
  
• Braun S#, Enculescu M#, Setty ST*, Cortés-López M, de Almeida BP, Sutandy FXR, Schulz L, Busch A, Seiler M, Ebersberger S, Barbosa-Morais NL, Legewie S*, König J* and Zarnack K* (2018). Decoding a cancer-relevant splicing decision in the RON proto-oncogene using high-throughput mutagenesis. Nature Communications 9: 3315
  
• Sutandy R#, Ebersberger S#, Huang L#, Busch A, Bach M, Kang HS, Fallmann J, Maticzka D, Backofen R, Stadler PF, Zarnack K, Sattler M, Legewie S* and König J* (2018). In vitro iCLIP-based modeling uncovers how the splicing factor U2AF65 relies on regulation by cofactors. Genome Research 28: 699-713
  
• Fritzsch C#, Baumgaertner S#, Kuban M, Reid G*, Legewie S* (2018). Estrogen-dependent control and cell-to-cell variability of transcriptional bursting. Molecular Systems Biology 14(2):e7678
  
• Strasen J #, Sarma U#, Jentsch M#, Legewie S*, Loewer A* (2018). Cell-specific responses to the cytokine TGFβ are determined by variability in protein levels. Molecular Systems Biology 14(1):e7733
  
• Enculescu M#, Metzendorf C#, Sparla R, Hahnel M, Bode J, Muckenthaler M*, Legewie S*. Modelling Systemic Iron Regulation during Dietary Iron Overload and Acute Inflammation: Role of Hepcidin-independent Mechanisms. PLoS Computational Biology 13:e1005322
  
• Kamenz J, Mihaljev T, Kubis A, Legewie S*, Hauf S* (2015). Robust ordering of anaphase events by adaptive thresholds and competing degradation pathways. Molecular Cell. 60:446 (Preview in Developmental Cell 35: 403)
  
• Kallenberger S, Beaudouin J, Claus J, Fischer C, Sorger PK, Legewie S*, Eils R* (2014). Intra- and Interdimeric Caspase-8 Self-Cleavage Controls Strength and Timing of CD95-Induced Apoptosis. Science Signaling 7, ra23. (Editors’ Choice in Science 343: 1178)
  
• Casanovas G#, Banerji A#, D’Alessio F#, Muckenthaler MU*, Legewie S* (2014). A multi-scale model of hepcidin promoter regulation reveals factors controlling systemic iron homeostasis. PLoS Comp Biol 10, e1003421
  
• Jeschke M, Baumgärtner S, Legewie S (2013). Determinants of cell-to-cell variability in protein kinase signaling. PLoS Comp Biol 9, e1003357
  
• Stelniec I#, Legewie S#, Tchernitsa O, Bobbe S, Sers C, Herzel H, Blüthgen N* and Schäfer R* (2012). Hierarchical regulation in a K-Ras-dependent transcriptional network revealed by a reverse- engineering approach. Mol Syst Biol. 2012;8:601
  
• Paulsen M#, Legewie S#, Eils R, Karaulanov E, Niehrs C (2011). Negative feedback in the BMP4 synexpression group governs its dynamic signaling range and canalizes development. Proc Natl Acad Sci U S A. 108(25):10202-7. (Editors’Choice in Science 333: 138, Rated Exceptional by F1000)
  
• Legewie S, Herzel H, Westerhoff HV, Blüthgen N (2008). Recurrent design patterns in the feedback regulation of the mammalian signalling network. Molecular Systems Biology 4, 190
  
• Legewie S, Blüthgen N, Herzel H (2006). Mathematical Modeling Identifies Inhibitors of Apoptosis (IAPs) as Mediators of Positive Feedback and Bistability. PLoS Comput Biol. 2, e120 (Editors’Choice in Science 314: 389)