17 research outputs found

    Mast cell lineage diversion of T lineage precursors by the essential T cell transcription factor GATA-3

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    GATA-3 is essential for T cell development from the earliest stages. However, abundant GATA-3 can drive T lineage precursors to a non–T cell fate, depending on Notch signaling and developmental stage. Here, overexpression of GATA-3 blocked the survival of pro–T cells when Notch-Delta signals were present but enhanced viability in their absence. In fetal thymocytes at the double-negative 1 (DN1) stage and DN2 stage but not those at the DN3 stage, overexpression of GATA-3 rapidly induced respecification to the mast cell lineage with high frequency by direct transcriptional 'reprogramming'. Normal DN2 thymocytes also showed mast cell potential when interleukin 3 and stem cell factor were added in the absence of Notch signaling. Our results suggest a close relationship between the pro–T cell and mast cell programs and a previously unknown function for Notch in T lineage fidelity

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    Business Modeling and Flexibility in Software-Intensive Product Development - A Systematic Literature Review

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    International audienceContinuously achieving and maintaining competitive advantage is the critical survival factor for software-intensive product development companies undergoing digitalization transformation. These companies remain uncertain if investments in business modeling is sufficient to cope with rapidly changing business models, technology, and customer demands. We conducted a Systematic Literature Review using the snowballing methodology to explore the effects of business modeling on business flexibility and variability in the realization. Our results confirm a research gap regarding translating desired strategic flexibility into business options that can efficiently and effectively be implemented using software-based variability in the realization. We conclude that more research is needed consolidating business model innovation, experimentation, and operationalization. Building on theories for learning and knowledge creation, we propose a framework for describing change and analyzing strategic, tactical and operational choices in business model experimentation
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