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Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration

Authors :
Irina Epstein
Elliot Mount
Mariya
Jeremy W. Linsley
Galina Schmunk
Viral Oza
Tomasz J. Nowakowski
Ashkan Javaherian
Steven Finkbeiner
Matthew R. Campioni
Siddharth Samsi
Atmiyata Tripathi
Source :
Communications biology, vol 2, iss 1, Communications Biology, Vol 2, Iss 1, Pp 1-13 (2019), Communications Biology
Publication Year :
2019
Publisher :
eScholarship, University of California, 2019.

Abstract

Current approaches for dynamic profiling of single cells rely on dissociated cultures, which lack important biological features existing in tissues. Organotypic slice cultures preserve aspects of structural and synaptic organisation within the brain and are amenable to microscopy, but established techniques are not well adapted for high throughput or longitudinal single cell analysis. Here we developed a custom-built, automated confocal imaging platform, with improved organotypic slice culture and maintenance. The approach enables fully automated image acquisition and four-dimensional tracking of morphological changes within individual cells in organotypic cultures from rodent and human primary tissues for at least 3 weeks. To validate this system, we analysed neurons expressing a disease-associated version of huntingtin (HTT586Q138-EGFP), and observed that they displayed hallmarks of Huntington’s disease and died sooner than controls. By facilitating longitudinal single-cell analyses of neuronal physiology, our system bridges scales necessary to attain statistical power to detect developmental and disease phenotypes.<br />Jeremy Linsley, Atmiyata Tripathi et al. optimise culturing techniques and develop a microscopy platform and that can automatically image and track single neurons within organotypic slices for up to a three-week period. Using a model of polyQ neurodegeneration, they show that this method can assess longitudinal cell changes with high accuracy.

Details

Database :
OpenAIRE
Journal :
Communications biology, vol 2, iss 1, Communications Biology, Vol 2, Iss 1, Pp 1-13 (2019), Communications Biology
Accession number :
edsair.doi.dedup.....ec98506ab7730f5a8323bae4501e0c6d