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

Authors :
Li Y
Walker LA
Zhao Y
Edwards EM
Michki NS
Cheng HPJ
Ghazzi M
Chen TY
Chen M
Roossien DH
Cai D
Source :
Frontiers in neural circuits [Front Neural Circuits] 2021 Oct 20; Vol. 15, pp. 732183. Date of Electronic Publication: 2021 Oct 20 (Print Publication: 2021).
Publication Year :
2021

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. 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 Drosophila 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.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2021 Li, Walker, Zhao, Edwards, Michki, Cheng, Ghazzi, Chen, Chen, Roossien and Cai.)

Details

Language :
English
ISSN :
1662-5110
Volume :
15
Database :
MEDLINE
Journal :
Frontiers in neural circuits
Publication Type :
Academic Journal
Accession number :
34744636
Full Text :
https://doi.org/10.3389/fncir.2021.732183