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BioinformaticsBioinformaticsPeer-reviewed journal article

Modelling Signalling Networks from Perturbation Data

Mathurin DoreliD, Bertram KlingeriD, Torsten Groß, Anja SieberiD, Anirudh PrahalladiD, Evert BosdriesziD, Lodewyk F.A. WesselsiD, Nils BlüthgeniD

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Abstract

MotivationIntracellular signalling is realized by complex signalling networks which are almost impossible to understand without network models, especially if feedbacks are involved. Modular Response Analysis (MRA) is a convenient modelling method to study signalling networks in various contexts.\n\nResultsWe developed a derivative of MRA that is suited to model signalling networks from incomplete perturbation schemes and multi-perturbation data. We applied the method to study the effect of SHP2, a protein that has been implicated in resistance to targeted therapy in colon cancer, using data from a knock out and parental colon cancer cell line. We find that SHP2 is required for MAPK signalling, whereas AKT signalling only partially depends on SHP2.\n\nAvailabilityAn R-package is available at https://github.com/MathurinD/STASNet\n\nContactnils.bluethgen@charite.de

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