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Bitbow: a digital format of Brainbow enables highly efficient neuronal lineage tracing and morphology reconstruction in single brains

Authors :
Nigel S. Michki
Dawen Cai
Tiffany Y. Chen
Erica M. Edwards
Yimeng Zhao
Logan A. Walker
Marya Ghazzi
Douglas H. Roossien
Maggie Chen
Ye Li
Hon Pong Jimmy Cheng
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

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. Classical chemical and genetic methods take advantage of light microscopy and sparse labeling to unambiguously, albeit inefficiently, trace a few neuronal lineages or reconstruct their morphologies in each sampled brain. 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 Drosophila lines, established statistical tools, and streamlined sample preparation, image processing and data analysis pipelines to allow conveniently mapping neural lineages, studying neuronal morphology and revealing neural network patterns with an unprecedented speed, scale and resolution.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....8f0d5a61d06cbdd17d00c355ce750371
Full Text :
https://doi.org/10.1101/2020.04.07.030593