Search
Home // Research // FSTM // DLSM // Research areas // Systems Biology // Publications
Imprimer

Publications

2019

Alsahafi, E., Begg, K., Amelio, I., Raulf, N., Lucarelli, P., Sauter, T., & Tavassoli, M. (2019). Clinical update on head and neck cancer: molecular biology and ongoing challenges. Cell death & disease, 10(8), 540.
Becker, J. C., Gerard, D., Ginolhac, A., Sauter, T., & Sinkkonen, L. (2019, May 02). Identification of genes under dynamic post-transcriptional regulation from time-series epigenomic data. Epigenomics.
Caberlotto, L., Nguyen, T.-P., Lauria, M., Corrado, P., Rimondini, R., Maioli, S., Cedazo-Minguez, A., Sita, G., Morroni, F., & Corsi, M. (2019). Cross-disease analysis of Alzheimer’s disease and type-2 Diabetes highlights the role of autophagy in the pathophysiology of two highly comorbid diseases. Scientific Reports, 9(1), 3965.
Cecchini, V. F., Nguyen, T.-P., Pfau, T., De Landtsheer, S., & Sauter, T. (2019). An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction. In V. F., Cecchini, An Efficient Machine Learning Method to Solve Imbalanced Data in Metabolic Disease Prediction (1st ed, pp. 5). Da Nang, Vietnam: DA NANG PUBLISHING HOUSE.
Greenhalgh, K., Ramiro Garcia, J., Heinken, Ullmann, P., Bintener, T. J. R., Pacheco, M., Baginska, J., Shah, P., Frachet Bour, A., Halder, R., Fritz, J., Sauter, T., Thiele, I., Haan, S., Letellier, E., & Wilmes, P. (2019). Integrated In Vitro and In Silico Modeling Delineates the Molecular Effects of a Synbiotic Regimen on Colorectal-Cancer-Derived Cells. Cell Reports, 27, 1621–1632.
Heirendt, L., Arreckx, S., Pfau, T., Mendoza, S. N., Richelle, A., Heinken, A. K., Haraldsdottir, H. S., Wachowiak, J., Keating, S. M., Vlasov, V., Magnusdottir, S., Ng, C. Y., Preciat, G., Zagare, A., Chan, S. H. J., Aurich, M. K., Clancy, C. M., Modamio, J., Sauls, J. T., Noronha, A., Bordbar, A., Cousins, B., El Assal, D. C., Valcarcel, L. V., Apaolaza, I., Ghaderi, S., Ahookhosh, M., Ben Guebila, M., Kostromins, A., Sompairac, N., Le, H. M., Ma, D., Sun, Y., Wang, L., Yurkovich, J. T., Oliveira, M. A. P., Vuong, P. T., El Assal, L. P., Kuperstein, I., Zinovyev, A., Hinton, H. S., Bryant, W. A., Aragon Artacho, F. J., Planes, F. J., Stalidzans, E., Maass, A., Vempala, S., Hucka, M., Saunders, M. A., Maranas, C. D., Lewis, N. E., Sauter, T., Palsson, B. O., Thiele, I., & Fleming, R. M. T. (2019). Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0. Nature protocols, 14(3), 639-702.
Nickels, S., Walter, J., Bolognin, S., Gerard, D., Jaeger, C., Qing, X., Tisserand, J., Jarazo, J., Hemmer, K., Harms, A., Halder, R., Lucarelli, P., Berger, E., Antony, P., Glaab, E., Hankemeier, T., Klein, C., Sauter, T., Sinkkonen, L., & Schwamborn, J. C. (2019). Impaired serine metabolism complements LRRK2-G2019S pathogenicity in PD patients. Parkinsonism and Related Disorders.
Pacheco, M., Bintener, T. J. R., & Sauter, T. (2019). Towards the Integration of Metabolic Network Modelling and Machine Learning for the Routine Analysis of High-Throughput Patient Data. Automated Reasoning for Systems Biology and Medicine. Springer.
Pacheco, M., Bintener, T. J. R., & Sauter, T. (2019). Towards the network-based prediction of repurposed drugs using patient-specific metabolic models. EBioMedicine.
Pacheco, M., Bintener, T. J. R., Ternes, D., Kulms, D., Haan, S., Letellier, E., & Sauter, T. (2019). Identifying and targeting cancer-specific metabolism with network-based drug target prediction. EBioMedicine, 43(May 2019), 98-106.
Top of Page

2018

De Landtsheer, S., Lucarelli, P., & Sauter, T. (2018). Using Regularization to Infer Cell Line Specificity in Logical Network Models of Signaling Pathways. Frontiers in physiology, 9, 550.
Del Mistro, G., Lucarelli, P., Muller, I., De Landtsheer, S., Zinoveva, A., Hutt, M., Siegemund, M., Kontermann, R. E., Beissert, S., Sauter, T., & Kulms, D. (2018). Systemic network analysis identifies XIAP and IkappaBalpha as potential drug targets in TRAIL resistant BRAF mutated melanoma. NPJ systems biology and applications, 4, 39.
Gerard, D., Schmidt, F., Ginolhac, A., Schmitz, M., Halder, R., Ebert, P., Schulz, M., Sauter, T., & Sinkkonen, L. (2018, December 14). Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency. Nucleic Acids Research.
Giang, T. T., Nguyen, T.-P., Tran, Q. V., & Tran, D. H. (2018). A Fast Multiple Kernel Learning Framework with Dimensionality Reduction. In Giang, Nguyen, Q. V., Tran, & D. H., Tran, Integrated Uncertainty in Knowledge Modelling and Decision Making. IEEE.
Gonzalez-Vallinas, M., Rodriguez-Paredes, M., Albrecht, M., Sticht, C., Stichel, D., Gutekunst, J., Pitea, A., Sass, S., Sanchez-Rivera, F. J., Bermejo, J. L., Schmitt, J., De La Torre, C., Warth, A., Theis, F., Mueller, N., Gretz, N., Muley, T., Meister, M., Tschaharganeh, D. F., Schirmacher, P., Matthaus, F., & Breuhahn, K. (2018). Epigenetically Regulated Chromosome 14q32 miRNA Cluster Induces Metastasis and Predicts Poor Prognosis in Lung Adenocarcinoma Patients. Molecular cancer research : MCR.
Linnartz-Gerlach, B., Bodea, L.-G., Klaus, C., Ginolhac, A., Halder, R., Sinkkonen, L., Walter, J., Colonna, M., & Neumann, H. (2018, December 11). TREM2 triggers microglial density and age‐related neuronal loss. Glia.
Pacheco, M., & Sauter, T. (2018). The FASTCORE Family: For the Fast Reconstruction of Compact Context-Specific Metabolic Networks Models. In M., Fondi, Metabolic Network Reconstruction and Modeling. Springer.
Pacheco, M., & Sauter, T. (2018). The FASTCORE Family: For the Fast Reconstruction of Compact Context-Specific Metabolic Networks Models. Methods in Molecular Biology (Clifton, N.J.), (1716), 101-110.
Pfau, T., Christian, N., Masakapalli, S. K., Sweetlove, L. J., Poolman, M. G., & Ebenhöh, O. (2018). The intertwined metabolism during symbiotic nitrogen fixation elucidated by metabolic modelling. Scientific Reports, 8.
Raulf, N., Lucarelli, P., Thavaraj, S., Brown, S., Vicencio, J. M., Sauter, T., & Tavassoli, M. (2018). Annexin A1 regulates EGFR activity and alters EGFR-containing tumour-derived exosomes in head and neck cancers. European journal of cancer (Oxford, England : 1990), 102, 52-68.
Rozanc, J., Sakellaropoulos, T., Antoranz, A., Gutta, C., Podder, B., Vetma, V., Rufo, N., Agostinis, P., Pliaka, V., Sauter, T., Kulms, D., Rehm, M., & Alexopoulos, L. G. (2018, October 15). Phosphoprotein patterns predict trametinib responsiveness and optimal trametinib sensitisation strategies in melanoma. Cell death and differentiation.
Seip, K., Jorgensen, K., Haselager, M. V., Albrecht, M., Haugen, M. H., Egeland, E. V., Lucarelli, P., Engebraaten, O., Sauter, T., Maelandsmo, G. M., & Prasmickaite, L. (2018). "Stroma-induced phenotypic plasticity offers phenotype-specific targeting to improve melanoma treatment". Cancer letters.
Top of Page

2017

Albrecht, M., Stichel, D., Müller, B., Merkle, R., Sticht, C., Gretz, N., Klingmüller, U., Breuhahn, K., & Matthäus, F. (2017). TTCA: an R package for the identification of differentially expressed genes in time course microarray data. BMC Bioinformatics, 18(1), 33.
Bouvy-Liivrand, M.* , Hernandez de Sande, A.* , Pölönen, P., Mehtonen, J., Vuorenmaa, T., Niskanen, H., Sinkkonen, L., Kaikkonen, M., & Heinäniemi, M. (2017, July 29). Analysis of primary microRNA loci from nascent transcriptomes reveals regulatory domains governed by chromatin architecture. Nucleic Acids Research.
* These authors have contributed equally to this work.
De Landtsheer, S., Trairatphisan, P., Lucarelli, P., & Sauter, T. (2017, July). FALCON: A Toolbox for the Fast Contextualisation of Logical Networks. Bioinformatics (Oxford, England).
Giang, T. T., Nguyen, T.-P., & Tran, D. H. (2017). Stratifying cancer patients based on multiple kernel learning and dimensionality reduction. In T. T., Giang, T.-P., Nguyen, & Tran, 9th International Conference on Knowledge and Systems Engineering (KSE). IEE.
Lucarelli, P., De Landtsheer, S., & Sauter, T. (2017). Systembasierte Analyse von Wirkstoffresistenzen bei Melanom. Eprint/Working paper retrieved from https://www.systembiologie.de/lw_resource/datapool/_items/item_250/ptj-005_systembiologie_12_2017_web-150dpi_171122.pdf.
Lucarelli, P., Schilling, M., Kreutz, C., Vlasov, A., Boehm, M. E., Iwamoto, N., Steiert, B., Lattermann, S., Wasch, M., Stepath, M., Matter, M. S., Heikenwalder, M., Hoffmann, K., Deharde, D., Damm, G., Seehofer, D., Muciek, M., Gretz, N., Lehmann, W. D., Timmer, J., & Klingmuller, U. (2017, December 13). Resolving the Combinatorial Complexity of Smad Protein Complex Formation and Its Link to Gene Expression. Cell Systems.
Sobotta, S., Raue, A., Huang, X., Vanlier, J., Junger, A., Bohl, S., Albrecht, U., Hahnel, M. J., Wolf, S., Mueller, N. S., D'Alessandro, L. A., Mueller-Bohl, S., Boehm, M. E., Lucarelli, P., Bonefas, S., Damm, G., Seehofer, D., Lehmann, W. D., Rose-John, S., van der Hoeven, F., Gretz, N., Theis, F. J., Ehlting, C., Bode, J. G., Timmer, J., Schilling, M., & Klingmuller, U. (2017). Model Based Targeting of IL-6-Induced Inflammatory Responses in Cultured Primary Hepatocytes to Improve Application of the JAK Inhibitor Ruxolitinib. Frontiers in physiology, 8, 775.
Top of Page

2016

Albrecht, M., Sciumè, G., Lucarelli, P., & Sauter, T. (2016). Thermodynamically constrained averaging theory for cancer growth modelling. IFAC-PapersOnLine, 49(26), 289-294.
Carboni, L., Nguyen, T. P., & Caberlotto, L. (2016). Systems biology integration of proteomic data in rodent models of depression reveals involvement of the immune response and glutamatergic signalling. PROTEOMICS – Clinical Applications.
Iwamoto, N., D'Alessandro, L. A., Depner, S., Hahn, B., Kramer, B. A., Lucarelli, P., Vlasov, A., Stepath, M., Bohm, M. E., Deharde, D., Damm, G., Seehofer, D., Lehmann, W. D., Klingmuller, U., & Schilling, M. (2016). Context-specific flow through the MEK/ERK module produces cell- and ligand-specific patterns of ERK single and double phosphorylation. Science signaling, 9(413), 13.
Lecca, P., Ihekawaba, A., Re, A., Mura, I., & Nguyen, T. P. (2016). Computational Systems Biology: Inference and Modelling. Amsterdam, Netherlands: Elsevier.
Lommel, M., Trairatphisan, P., Gäbler, K., Laurini, C., Muller, A., Kaoma, T., Vallar, L., Sauter, T., & Schaffner, E. (2016). L-plastin Ser5 phosphorylation in breast cancer cells and in vitro is mediated by RSK downstream of the ERK/MAPK pathway. FASEB Journal.
Martins Conde, P., Sauter, T., & Pfau, T. (2016). Constraint based modelling going multicellular. Frontiers in Molecular Biosciences, 3(3).
Marwitz, S., Depner, S., Dvornikov, D., Merkle, R., Szczygiel, M., Muller-Decker, K., Lucarelli, P., Wasch, M., Mairbaurl, H., Rabe, K. F., Kugler, C., Vollmer, E., Reck, M., Scheufele, S., Kroger, M., Ammerpohl, O., Siebert, R., Goldmann, T., & Klingmuller, U. (2016). Downregulation of the TGF-beta pseudoreceptor BAMBI in non-small cell lung cancer enhances TGF-beta signaling and invasion. Cancer research.
Pacheco, M., Pfau, T., & Sauter, T. (2016, January 22). Benchmarking procedures for high-throughput context specific reconstruction algorithms. Frontiers in Physiology.
Trairatphisan, P., Wiesinger, M., Bahlawane, C., Haan, S., & Sauter, T. (2016). A Probabilistic Boolean Network Approach for the Analysis of Cancer-Specific Signalling: A Case Study of Deregulated PDGF Signalling in GIST. PloS one, 11(5), 0156223.
Top of Page

2015

Adlakha, N.* , Pfau, T.* , Ebenhöh, O., & Yazdani, S. S. (2015). Insight into metabolic pathways of the potential biofuel producer, Paenibacillus polymyxa ICGEB2008. Biotechnology for Biofuels, 8(159).
* These authors have contributed equally to this work.
Bahlawane, C., Eulenfeld, R., Wiesinger, M., Wang, J., Muller, A., Girod, A., Nazarov, P. V., Felsch, K., Vallar, L., Sauter, T., Satagopam, V., & Haan, S. (2015). Constitutive activation of oncogenic PDGFRalpha-mutant proteins occurring in GIST patients induces receptor mislocalisation and alters PDGFRalpha signalling characteristics. Cell Communication and Signaling, 13, 21.
Dorosz, S. A., Ginolhac, A., Kähne, T., Naumann, M., Sauter, T., Salsmann, A., & Bueb, J.-L. (2015). Role of Calprotectin as a Modulator of the IL27-Mediated Proinflammatory Effect on Endothelial Cells. Mediators of Inflammation, 2015, 1-16.
Galhardo, M. S., Berninger, P., Nguyen, T. P., Sauter, T., & Sinkkonen, L. (2015). Cell type-selective disease-association of genes under high regulatory load. Nucleic Acids Research, 43(18), 8839-8855.
Haan, S., Bahlawane, C., Wang, J., Nazarov, P. V., Muller, A., Eulenfeld, R., Haan, C., Rolvering, C., Vallar, L., Satagopam, V., Sauter, T., & Wiesinger, M. (2015). The oncogenic FIP1L1-PDGFRalpha fusion protein displays skewed signaling properties compared to its wild-type PDGFRalpha counterpart. JAK-STAT, 4(1), 1062596.
Hillje, A.-L., Beckmann, E., Pavlou, M. A., Jäger, C., Pacheco, M., Sauter, T., Schwamborn, J. C., & Lewejohann, L. (2015). The neural stem cell fate determinant TRIM32 regulates complex behavioral traits. Frontiers in Cellular Neuroscience.
Jordan, F., Lauria, M., Scotti, M., Nguyen, T. P., Praveen, P., Morine, M., & Priami, C. (2015). Diversity of key players in the microbial ecosystems of the human body. Scientific reports, 5, 15920.
Makadia, H. K., Anderson, W. D., Fey, D., Sauter, T., Schwaber, J. S., & Vadigepalli, R. (2015). Multiscale model of dynamic neuromodulation integrating neuropeptide-induced signaling pathway activity with membrane electrophysiology. Biophysical journal, 108(1), 211-23.
Nguyen, T. P., Priami, C., & Caberlotto, L. (2015). Novel drug target identification for the treatment of dementia using multi-relational association mining. Scientific Reports, 5.
Pacheco, M., John, E.* , Kaoma, T., Heinäniemi, M., Nicot, N., Vallar, L., Bueb, J.-L., Sinkkonen, L., & Sauter, T. (2015). Integrated metabolic modelling reveals cell-type specific epigenetic control points of the macrophage metabolic network. BMC Genomics, 16(809).
* These authors have contributed equally to this work.
Pfau, T., Pacheco, M., & Sauter, T. (2015). Towards improved genome-scale metabolic network reconstructions: unification, transcript specificity and beyond. Briefings in bioinformatics.
Roume, H., Buschart, A., Muller, E., May, P., Satagopam, V., Laczny, C. C., Narayanasamy, S., Lebrun, L., Hoopmann, M., Schupp, J., Gillece, J., Hicks, N., Engelthaler, D., Sauter, T., Keim, P., Moritz, R., & Wilmes, P. (2015). Comparative integrated omics: identification of key functionalities in microbial community-wide metabolic networks. Biofilms and Microbiomes, 1(15007).
Top of Page

2014

Bodea, L.-G., Wang, Y., Linnartz-Gerlach, B., Kopatz, J., Sinkkonen, L., Musgrove, R., Kaoma, T., Muller, A., Vallar, L., Di Monte, D., Balling, R., & Neumann, H. (2014). Neurodegeneration by Activation of the Microglial Complement–Phagosome Pathway. Journal of Neuroscience, 34(25), 8546-8556.
Ederer, M., Steinsiek, S., Stagge, S., Rolfe, M., Ter Beek, A., Knies, D., Teixeira de Mattos, M., Sauter, T., Green, J., Poole, R., Bettenbrock, K., & Sawodny, O. (2014). A mathematical model of metabolism and regulation provides a systems-level view of how Escherichia coli responds to oxygen. Frontiers in Microbiology, 5(124).
Galhardo, M. S., Sinkkonen, L., Berninger, P., Lin, J., Sauter, T., & Heinäniemi, M. (2014). ChIP-seq profiling of the active chromatin marker H3K4me3 and PPARγ, CEBPα and LXR target genes in human SGBS adipocytes. Genomics Data, 2, 230-236.
Galhardo, M. S., Sinkkonen, L., Berninger, P., Lin, J., Sauter, T., & Heinäniemi, M. (2014). Transcriptomics profiling of human SGBS adipogenesis. Genomics Data, 2, 246-248.
Henkel, S. G., Beek, A. T., Steinsiek, S., Stagge, S., Bettenbrock, K., de Mattos, M. J. T., Sauter, T., Sawodny, O., & Ederer, M. (2014). Basic Regulatory Principles of Escherichia coli's Electron Transport Chain for Varying Oxygen Conditions. PloS one, 9(9), 107640.
Konrath, F., Witt, J., Sauter, T., & Kulms, D. (2014). Identification of New IkappaBalpha Complexes by an Iterative Experimental and Mathematical Modeling Approach. PLoS computational biology, 10(3), 1003528.
Liivrand, M., Heinäniemi, M., John, E., Schneider, J., Sauter, T., & Sinkkonen, L. (2014). Combinatorial regulation of lipoprotein lipase by microRNAs during mouse adipogenesis. RNA Biology, 11(1), 76-91.
Trairatphisan, P., Mizera, A., Pang, J., Tantar, A.-A., & Sauter, T. (2014). optPBN: An Optimisation Toolbox for Probabilistic Boolean Networks. PLoS ONE, 9(7), 98001 (1-15.
Vlassis, N., Pacheco, M., & Sauter, T. (2014). Fast reconstruction of compact context-specific metabolic network models. PLoS Computational Biology, 10(1), 1003424.
Top of Page

2013

Baumuratova, T., Dobre, S., Bastogne, T., & Sauter, T. (2013). Switch of Sensitivity Dynamics Revealed with DyGloSA Toolbox for Dynamical Global Sensitivity Analysis as an Early Warning for System's Critical Transition. PloS one, 8(12), 82973.
Galhardo, M. S.* , Sinkkonen, L.* , Berninger, P., Lin, J., Sauter, T., & Heinäniemi, M. (2013, November 05). Integrated analysis of transcript-level regulation of metabolism reveals disease-relevant nodes of the human metabolic network. Nucleic Acids Research.
* These authors have contributed equally to this work.
Heinäniemi, M., Nykter, M., Kramer, R., Wienecke, A., Sinkkonen, L., Zhou, J. X., Kreisberg, R., Kauffman, S. A., Huang, S., & Shmulevich, I. (2013, April 21). Gene-pair expression signatures reveal lineage control. Nature Methods.
Mizera, A., Pang, J., Sauter, T., & Trairatphisan, P. (2013). A balancing act: Parameter estimation for biological models with steady-state measurements. Proceedings of 11th Conference on Computational Methods in Systems Biology (CMSB'13) (pp. 253-254). Springer.
Mizera, A., Pang, J., Sauter, T., & Trairatphisan, P. (2013). Mathematical modelling of the Platelet-Derived Growth Factor (PDGF) signalling pathway. Proceedings of 4th Workshop on Computational Models for Cell Processes (CompMod'13) (pp. 35).
Pfau, T. (2013). Modelling Metabolic Interactions in the Legume-Rhizobia Symbiosis. Unpublished doctoral thesis, University of Aberdeen, ​Aberdeen, ​​United Kingdom.
Shi, L., Jong, L., Wittig, U., Lucarelli, P., Stepath, M., Mueller, S., D'Alessandro, L. A., Klingmuller, U., & Muller, W. (2013). Excemplify: a flexible template based solution, parsing and managing data in spreadsheets for experimentalists. Journal of integrative bioinformatics, 10(2), 220.
Trairatphisan, P., Mizera, A., Pang, J., Tantar, A.-A., Schneider, J., & Sauter, T. (2013). Recent development and biomedical applications of probabilistic Boolean networks. Cell Communication and Signaling, 11(46).
Vlassis, N., Pacheco, M., & Sauter, T. (2013). Fast reconstruction of compact context-specific metabolic network models. Eprint/Working paper retrieved from http://arxiv.org/abs/1304.7992.
Vlassis, N., Pacheco, M., & Sauter, T. (2013). Fastcore: An algorithm for fast reconstruction of context-specific metabolic network models. Proc. 8th BeNeLux Bioinformatics Conference.
Top of Page

2012

John, E., Wienecke-Baldacchino, A., Liivrand, M., Heinäniemi, M., Carlberg, C., & Sinkkonen, L. (2012). Dataset integration identifies transcriptional regulation of microRNA genes by PPARgamma in differentiating mouse 3T3-L1 adipocytes. Nucleic Acids Research, 40(10), 4446-4460.
Rolfe, M., Ocone, A., Stapleton, M., Hall, S., Trotter, E., Poole, R., Sanguinetti, G., Green, J., SysMO-SUMO consortium, & Sauter, T. (Other coll.). (2012). Systems analysis of transcription factor activities in environments with stable and dynamic oxygen concentrations. Open Biology, 2(7), 120091.
Wegner, K., Bachmann, A., Schad, J.-U., Lucarelli, P., Sahle, S., Nickel, P., Meyer, C., Klingmuller, U., Dooley, S., & Kummer, U. (2012). Dynamics and feedback loops in the transforming growth factor beta signaling pathway. Biophysical chemistry, 162, 22-34.
Witt, J., Konrath, F., Sawodny, O., Ederer, M., Kulms, D., & Sauter, T. (2012). Analysing the role of UVB-induced translational inhibition and PP2Ac deactivation in NF-kappaB signalling using a minimal mathematical model. PLoS ONE, 7(7), 40274.
Yuan, Q., Trairatphisan, P., Pang, J., Mauw, S., Wiesinger, M., & Sauter, T. (2012). Probabilistic model checking of the PDGF signaling pathway. Transactions on Computational Systems Biology, XIV, 151-180.
Top of Page

2011

Guziolowski, C., Blachon, S., Baumuratova, T., Stoll, G., Radulescu, O., & Siegel, A. (2011). Designing logical rules to model the response of biomolecular networks with complex interactions: an application to cancer modeling. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8(5), 1223-34.
Henkel, S., Nagele, T., Hormiller, I., Sauter, T., Sawodny, O., Ederer, M., & Heyer, A. G. (2011). A systems biology approach to analyse leaf carbohydrate metabolism in Arabidopsis thaliana. EURASIP Journal on Bioinformatics & Systems Biology, 2011(1), 2.
Witt, J., Barisic, S., Sawodny, O., Ederer, M., Kulms, D., & Sauter, T. (2011). Modeling time delay in the NFkappaB signaling pathway following low dose IL-1 stimulation. EURASIP Journal on Bioinformatics & Systems Biology, 2011(1), 3.
Yuan, Q., Pang, J., Mauw, S., Trairatphisan, P., Wiesinger, M., & Sauter, T. (2011). A study of the PDGF signaling pathway with PRISM. Proceedings of the 3rd Workshop on Computational Models for Cell Processes, EPTCS 67, 65-81.
Top of Page

2010

Baumuratova, T., Surdez, D., Delyon, B., Stoll, G., Delattre, O., Radulescu, O., & Siegel, A. (2010). Localizing potentially active post-transcriptional regulations in the Ewing's sarcoma gene regulatory network. BMC Systems Biology, 4, 146.
Lahnalampi, M., Heinäniemi, M., Sinkkonen, L., Wabitsch, M., & Carlberg, C. (2010). Time-Resolved Expression Profiling of the Nuclear Receptor Superfamily in Human Adipogenesis. PLoS ONE, 5(9).
Nagele, T., Henkel, S., Hormiller, I., Sauter, T., Sawodny, O., Ederer, M., & Heyer, A. G. (2010). Mathematical modeling of the central carbohydrate metabolism in Arabidopsis reveals a substantial regulatory influence of vacuolar invertase on whole plant carbon metabolism. Plant Physiology, 153(1), 260-72.
Top of Page

2009

Schlatter, R., Conzelmann, H., Gilles, E. D., Sawodny, O., & Sauter, T. (2009). Analysis of an apoptotic core model focused on experimental design using artificial data. IET Systems Biology, 3(4), 255-65.
Schlatter, R., Schmich, K., Avalos Vizcarra, I., Scheurich, P., Sauter, T., Borner, C., Ederer, M., Merfort, I., & Sawodny, O. (2009). ON/OFF and beyond--a boolean model of apoptosis. PLoS Computational Biology, 5(12), 1000595.
Witt, J., Barisic, S., Schumann, E., Allgower, F., Sawodny, O., Sauter, T., & Kulms, D. (2009). Mechanism of PP2A-mediated IKK beta dephosphorylation: a systems biological approach. BMC Systems Biology, 3, 71.
Top of Page

2008

Feuer, R., Ederer, M., Gilles, E. D., Sprenger, G., Sawodny, O., & Sauter, T. (2008). Analyse der evolutiven Adaptation am Beispiel einer pyruvat-auxotrophen Escherichia coli-Mutante. Automatisierungstechnik, 56, 257-268.
Top of Page

2007

Bettenbrock, K., Sauter, T., Jahreis, K., Kremling, A., Lengeler, J. W., & Gilles, E.-D. (2007). Correlation between growth rates, EIIACrr phosphorylation, and intracellular cyclic AMP levels in Escherichia coli K-12. Journal of Bacteriology, 189(19), 6891-900.
Feuer, R., Ederer, M., Trachtmann, N., Sauter, T., Gilles, E. D., Sprenger, G., & Sawodny, O. (2007). Methods for analysis of evolutive adaptation of E. coli. Proceedings of the SICE Annual Conference, September 17-20, 2007 Kagawa University, Takamatsu City, Japan.
Witt, J., Husser, S., Kulms, D., Barisic, S., Sawodny, O., & Sauter, T. (2007). Modeling and Analysis of UVB Influence on IL-1 induced NF-kappaB Signaling. Proceedings of the FOSBE, September 9-12, Stuttgart, Germany.
Top of Page

2006

Bettenbrock, K., Fischer, S., Kremling, A., Jahreis, K., Sauter, T., & Gilles, E.-D. (2006). A quantitative approach to catabolite repression in Escherichia coli. Journal of Biological Chemistry, 281(5), 2578-84.
Conzelmann, H., Saez-Rodriguez, J., Sauter, T., Kholodenko, B. N., & Gilles, E. D. (2006). A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks. BMC Bioinformatics, 7, 34.
Eissing, T., Bullinger, E., Waldherr, S., Gondro, C., Sawodny, O., Allgöwer, F., Scheurich, P., & Sauter, T. (2006). Sensitivity analysis of programmed cell death and implications for crosstalk phenomena during Tumor Necrosis Factor stimulation. Proceedings of IEEE International Conference on Control Applications (CCA), October 4-6, 2006, Technische Universität München, Germany.
Hao, H., Zak, D. E., Sauter, T., Schwaber, J., & Ogunnaike, B. A. (2006). Modeling the VPAC2-activated cAMP/PKA signaling pathway: from receptor to circadian clock gene induction. Biophysical Journal, 90(5), 1560-71.
Top of Page

2004

Conzelmann, H., Saez-Rodriguez, J., Sauter, T., Bullinger, E., Allgower, F., & Gilles, E. D. (2004). Reduction of mathematical models of signal transduction networks: simulation-based approach applied to EGF receptor signalling. Systems biology, 1(1), 159-69.
Kremling, A., Bettenbrock, K., Fischer, S., Ginkel, M., Sauter, T., & Gilles, E. D. (2004). Towards whole cell "in silico" models for cellular systems: model set-up and model validation. Lecture Notes in Control and Information Sciences: Proceedings of the first multidisciplinary international symposium on Positive Systems (pp. 95-102). Springer.
Kremling, A., Fischer, S., Sauter, T., Bettenbrock, K., & Gilles, E. D. (2004). Time hierarchies in the Escherichia coli carbohydrate uptake and metabolism. Bio Systems, 73(1), 57-71.
Kremling, A., Fischer, S., Gadkar, K., Doyle, F. J., Sauter, T., Bullinger, E., Allgower, F., & Gilles, E. D. (2004). A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions. Genome Research, 14(9), 1773-85.
Sauter, T., & Bullinger, E. (2004). Detailed Mathematical Modeling of Metabolic and Regulatory Networks. BIOforum Europe, 02, 62-64.
Sauter, T., & Gilles, E. D. (2004). Modeling and experimental validation of the signal transduction via the Escherichia coli sucrose phospho transferase system. Journal of Biotechnology, 110(2), 181-99.
Top of Page

2003

Ederer, M., Sauter, T., Bullinger, E., Gilles, E. D., & Allgöwer, F. (2003). An approach for dividing models of biological reaction networks into functional units. Simulation, 79, 703-716.
Sauter, T. (2003). Die bakterielle Signalverarbeitung am Beispiel des Sucrose Phosphotransferasesystems in Escherichia coli : Modellierung und experimentelle Überprüfung. Unpublished doctoral thesis, Universität Stuttgart, ​​Germany.
Top of Page

2001

Kremling, A., Sauter, T., Bullinger, E., Ederer, M., Allgöwer, F., & Gilles, E. D. (2001). Biosystems Engineering: Applying methods from systems theory to biological systems. Proceedings of the 2nd International Conference on Systems Biology 4.-7.11.2001, Pasadena.
Top of Page