Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

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

View ORCID ProfileYe Li, View ORCID ProfileLogan A Walker, Yimeng Zhao, Erica M Edwards, View ORCID ProfileNigel S Michki, Hon Pong Jimmy Cheng, Marya Ghazzi, Tiffany Y Chen, Maggie Chen, View ORCID ProfileDouglas H Roossien, View ORCID ProfileDawen Cai
doi: https://doi.org/10.1101/2020.04.07.030593
Ye Li
1Department of Cell and Developmental Biology, University of Michigan Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ye Li
Logan A Walker
2Biophysics, University of Michigan School of Literature, Science, and the Arts
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Logan A Walker
Yimeng Zhao
1Department of Cell and Developmental Biology, University of Michigan Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erica M Edwards
1Department of Cell and Developmental Biology, University of Michigan Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nigel S Michki
2Biophysics, University of Michigan School of Literature, Science, and the Arts
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nigel S Michki
Hon Pong Jimmy Cheng
1Department of Cell and Developmental Biology, University of Michigan Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marya Ghazzi
1Department of Cell and Developmental Biology, University of Michigan Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tiffany Y Chen
1Department of Cell and Developmental Biology, University of Michigan Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maggie Chen
1Department of Cell and Developmental Biology, University of Michigan Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Douglas H Roossien
1Department of Cell and Developmental Biology, University of Michigan Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Douglas H Roossien
Dawen Cai
1Department of Cell and Developmental Biology, University of Michigan Medical School
2Biophysics, University of Michigan School of Literature, Science, and the Arts
3Neuroscience Graduate Program, University of Michigan Medical School
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Dawen Cai
  • For correspondence: dwcai@umich.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Author information updated. Acknowledgment updated.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted April 09, 2020.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Bitbow: a digital format of Brainbow enables highly efficient neuronal lineage tracing and morphology reconstruction in single brains
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Bitbow: a digital format of Brainbow enables highly efficient neuronal lineage tracing and morphology reconstruction in single brains
Ye Li, Logan A Walker, Yimeng Zhao, Erica M Edwards, Nigel S Michki, Hon Pong Jimmy Cheng, Marya Ghazzi, Tiffany Y Chen, Maggie Chen, Douglas H Roossien, Dawen Cai
bioRxiv 2020.04.07.030593; doi: https://doi.org/10.1101/2020.04.07.030593
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Bitbow: a digital format of Brainbow enables highly efficient neuronal lineage tracing and morphology reconstruction in single brains
Ye Li, Logan A Walker, Yimeng Zhao, Erica M Edwards, Nigel S Michki, Hon Pong Jimmy Cheng, Marya Ghazzi, Tiffany Y Chen, Maggie Chen, Douglas H Roossien, Dawen Cai
bioRxiv 2020.04.07.030593; doi: https://doi.org/10.1101/2020.04.07.030593

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3504)
  • Biochemistry (7346)
  • Bioengineering (5321)
  • Bioinformatics (20259)
  • Biophysics (10013)
  • Cancer Biology (7742)
  • Cell Biology (11298)
  • Clinical Trials (138)
  • Developmental Biology (6437)
  • Ecology (9950)
  • Epidemiology (2065)
  • Evolutionary Biology (13318)
  • Genetics (9360)
  • Genomics (12581)
  • Immunology (7700)
  • Microbiology (19016)
  • Molecular Biology (7439)
  • Neuroscience (41029)
  • Paleontology (300)
  • Pathology (1229)
  • Pharmacology and Toxicology (2135)
  • Physiology (3157)
  • Plant Biology (6860)
  • Scientific Communication and Education (1272)
  • Synthetic Biology (1895)
  • Systems Biology (5311)
  • Zoology (1089)