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of muscle hypertrophic growth; 2) identifying the glucose transporter(s) activated by resistance training in muscle; and 3) examining the connections between glucometabolic flux and the muscle transcriptome
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French National Institute for Health Research (INSERM) | Toulouse, Midi Pyrenees | France | 2 months ago
High-dimensional phenotyping techniques, such as proteomics and transcriptomics, provide information on the expression of thousands of proteins or genes at the single-cell level. These 101, rue de
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genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design, adapt and use deep learning methods
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transcriptomics to characterise cells in human vitreous and surgically excised vitreoretinal membranes, improving understanding of retinal detachment and related disease. The successful applicant will undertake
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controllers, spatial transcriptomics profilers, PCR machines and flow cytometers. About You You will hold a PhD in immunology or related area with post-qualification research experience. You will have
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, and computational methods for analysing complex biological datasets. Experience with single-cell and spatial omics technologies, including transcriptomics, metabolomics, or multi-omics data integration
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of these compounds in primary human GBM cells stratified according to their transcriptomic subtype and derived from patients of different sex. Subsequently, we will decipher the molecular target or at least
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of prostate cancer, particularly spatial transcriptomics and single cell genomics to support and advance basic and clinical research. In this role, you will be part of the mission to share our resources and
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utilizing ex vivo airway epithelial cell models, including air-liquid interface (ALI) culture systems. Experience analyzing and interpreting transcriptomic datasets (e.g., RNA-seq). Experience working with
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, glial, and immune cell culture, nucleic acid extractions, ELISAs, bead-based microarrays, immunohistochemistry, spatial transcriptomics, and molecular analyses. The candidate will summarize research data