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cancer metastasis and novel metabolic pathways. We exploit invivo mouse models, metabolomics, (single cell) RNA sequencing and mass spectrometry imaging analysis to gain groundbreaking insights
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mechanisms involving genetic, epigenetic and chromatin organisation factors governing the cell-type specific response to ARS mutations. Therefore, an integrative genome-wide cis-regulatory network analysis
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in plants and we combine cell biological and biochemical/structural approaches to answer our research questions. We are highly passionate about the endocytic pathway that controls the plasma membrane
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regarding the role of programmed cell death in Alzheimer’s Disease and how this links to Tau pathology (PMID 37708272). In this project, we will assess how the non-coding RNA MEG3 induces necroptosis
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single-cell and spatial multi-omics datasets. The primary focus of this role is to delve deeper into the molecular mechanisms driving intra-tumor heterogeneity, plasticity, and therapy resistance
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Marine. The research will explore the molecular mechanisms of intra-tumour heterogeneity to provide insights into cell fate decisions, malignant stem cell renewal, treatment response, and resistance in
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-existing cell-based assays but also involving new assay development and optimizations. You will work in a sub-team jointly led by a PhD student and senior technician. We look for a candidate comfortable in
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years (after positive evaluation) to study regulatory genomics in plants using different computational and -omics approaches. Starting from large-scale experimental datasets (e.g., bulk and single-cell
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, organoids emerged as an attractive middle ground between 2D cell cultures, which do not fully recapitulate the 3D environment and animal models, which pose technical and ethical limits. In particular
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methods for these diseases. Approaches range from human genetics and genomics to protein biochemistry and neuronal and glial cell biology, while models include yeast, fly, mouse, and pluripotent human cell