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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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crosstalk with tumor cells, immune cells and the vasculature. We perform mostly in vivo studies, combining lineage tracing and depletion models, flow cytometry, confocal microscopy and unbiased approaches
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Host Lab our lab (https://research.pasteur.fr/en/team/cellular-plasticity-in-age-related-pathologies/ ) explores how cellular senescenceorchestrates tissue repair and regeneration. We focus on how
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proximity labeling is expected. Experience in confocal imaging and/or super-resolution microscopy would be a plus. The proposed research will be supervised by Dr Marie Prevost (https://research.pasteur.fr/en
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models, flow cytometry, confocal microscopy and unbiased approaches such as single cells transcriptomics, spatial transcriptomics and epigenetics to characterize molecular and cellular mechanisms. Using
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expertise in immunology or cell biology, with solid experimental lab skills. – Experience with animal models (mouse work) and advanced immunological techniques. – Skills in RNAseq analysis (highly valued
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
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following expertise: Early fly and mouse development Quantitative imaging and image analysis Statistical physics and data analysis Microscope design and control Genomic and genetic tool design Candidates