Bitbow Enables Highly Efficient Neuronal Lineage Tracing and Morphology Reconstruction in Single Drosophila Brains

Identifying the cellular origins and mapping the dendritic and axonal arbors of neurons have been century old quests to understand the heterogeneity among these brain cells. Current Brainbow based transgenic animals take the advantage of multispectral labeling to differentiate neighboring cells or l...

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Published in:Frontiers in neural circuits Vol. 15; p. 732183
Main Authors: Li, Ye, Walker, Logan A, Zhao, Yimeng, Edwards, Erica M, Michki, Nigel S, Cheng, Hon Pong Jimmy, Ghazzi, Marya, Chen, Tiffany Y, Chen, Maggie, Roossien, Douglas H, Cai, Dawen
Format: Journal Article
Language:English
Published: Switzerland Frontiers Research Foundation 20-10-2021
Frontiers Media S.A
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Summary:Identifying the cellular origins and mapping the dendritic and axonal arbors of neurons have been century old quests to understand the heterogeneity among these brain cells. Current Brainbow based transgenic animals take the advantage of multispectral labeling to differentiate neighboring cells or lineages, however, their applications are limited by the color capacity. To improve the analysis throughput, we designed Bitbow, a digital format of Brainbow which exponentially expands the color palette to provide tens of thousands of spectrally resolved unique labels. We generated transgenic Bitbow lines, established statistical tools, and streamlined sample preparation, image processing, and data analysis pipelines to conveniently mapping neural lineages, studying neuronal morphology and revealing neural network patterns with unprecedented speed, scale, and resolution.
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Reviewed by: Iris Salecker, INSERM U1024 Institut de Biologie de l’Ecole Normale Superieure, France; Gia Michele Ratto, National Research Council, Consiglio Nazionale delle Ricerche (CNR), Italy
Edited by: Junsong Zhang, Xiamen University, China
ISSN:1662-5110
1662-5110
DOI:10.3389/fncir.2021.732183