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group aims to determine regulatory pathways affected by disease by implementing the use of spatial proteomics combined with transcriptomics and live imaging. The total proteome of a neuron includes a vast
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to target specific transcription factors (iii) use of high content imaging and AI to phenotype these cultures (iii) use of bulk and single-cell RNAseq to characterise the transcriptional profile of each cell
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experience of the laboratory delivery of multiplex imaging datasets of tissue samples as well as significant laboratory experience of general methods including immunoassays and cell culture. You will have
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techniques, multispectral flow cytometry, and bioinformatic analysis of transcriptomic (RNAseq) datasets. Experience with image analysis, particularly for immunofluorescence, is desirable. You should be
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the Medical Research Council and Medical and Life Sciences Translational Fund. It offers an exciting opportunity to work in a vibrant multi-disciplinary team that crosses the domains of clinical imaging and
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led by Prof Jill O’Reilly and Prof Helen Barron, with responsibility for carrying out research on the role of rest in cognitive map formation, and the neural mechanisms underlying that process. The post
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participation, working with PPI, to choose a creative ‘menu’ of participation modes, e.g., a digital pinboard for images and memes and recruit parents, children, and clinicians to participate in qualitative
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cilia function. This exiting project will combine our recently developed centrosome purification method with advanced proteomics and high-resolution imaging to deepen our understanding of these processes