Upcoming Brain & Nervous System
Molecular annotation of the Drosophila connectome by optimised expansion microscopy
Summary
Original abstract (not yet simplified)Our recent collaborative work has produced connectomes (synaptic resolution wiring diagrams) for the Drosophila central nervous system – the first for an animal that can walk (or fly) with complex visual, motor and cognitive behaviour. We have also identified over 11,400 cell types within these electron microscopy (EM) connectomes, defining their conserved neural circuit architecture. However, only a few hundred...
View original technical description
Our recent collaborative work has produced connectomes (synaptic resolution wiring diagrams) for the Drosophila central nervous system – the first for an animal that can walk (or fly) with complex visual, motor and cognitive behaviour. We have also identified over 11,400 cell types within these electron microscopy (EM) connectomes, defining their conserved neural circuit architecture. However, only a few hundred of these cell types have been molecularly characterised as far as the genes they express. Moreover, the precise positioning along neurites of key signalling molecules such as gap junctions, fast acting neurotransmitters and neuropeptides and their receptors is a crucial determinant of circuit function, but this information is largely unknown. We propose to optimise new expansion microscopy methods that use total protein staining to label neuronal ultrastructure with EM-like contrast in samples physically expanded up to 30x. This super-resolution approach will allow key signalling proteins and RNA transcripts to be localised within individual neurons and to obtain the complete morphology of all neurons within a brain. In Drosophila, neuronal morphologies can be directly matched across brains so this will enable molecular annotation of the connectome. We will focus on Drosophila but the pipeline will be applicable in other species.
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Researchers
Gerald Rubin (EPMC Awardee)Gregory Jefferis (EPMC Awardee)Katie McDole (EPMC Awardee)Mojtaba Tavakoli (EPMC Awardee)Sven Truckenbrodt (EPMC Awardee)
Related Research
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Original classification
Bioimaging Technology Development AwardPlain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research. Is something wrong? Let us know