SSBD:database

Key Organism Strain Cell Line Gene Symbol Protein name Protein tag Reporter Project ID Dataset ID Title Description Data Type Gene Ontology Biological Imaging Methods Method Summary Paper Information Medical Subject Headlines Person

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68-Sakaguchi-NeuronFluo

https://ssbd.riken.jp/database/68-Sakaguchi-NeuronFluo/

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ssbd-repos-000068

https://ssbd.riken.jp/repository/68/

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A set of labeling images of neuronal circuits labeling with fluorescent proteins in M. musculus

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2019-11-20

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CC BY

Image data based on Experiment

67 ( Image datasets: 67, Quantitative data datasets: 0 )

269.1 GB ( Image datasets: 269.1 GB, Quantitative data datasets: 0 bytes )

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Mus musculus

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neuronal morphology

cell morphogenesis involved in neuron differentiation, olfactory behavior

dendrite

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XY: 0.2839521 micrometer/pixel, Z: 0.7497749 micrometer/slice, XY: 0.5677 micrometer/pixel, Z: 20.0016909 micrometer/slice, XY: 0.0946507 micrometer/pixel, Z: 1 micrometer/slice, XY: 0.0189302 micrometer/pixel, Z: 0.33067 micrometer/slice, XY: 0.0946507 micrometer/pixel, Z: 1.9994 micrometer/slice, XY: 0.0450718 micrometer/pixel, Z: 0.242235 micrometer/slice, XY: 0.0300478 micrometer/pixel, Z: 0.3306699 micrometer/slice, XY: 0.0180287 micrometer/pixel, Z: 0.242235 micrometer/slice, XY: 0.0901435 micrometer/pixel, Z: 0.3345151 micrometer/slice, XY: 0.070988 micrometer/pixel, Z: 1.0419952 micrometer/slice, XY: 0.0180287 micrometer/pixel, Z: 0.2422349 micrometer/slice, XY: 0.7570693 micrometer/pixel, Z: 4.9985 micrometer/slice, XY: 0.0901435 micrometer/pixel, Z: 0.9997 micrometer/slice, XY: 0.7569968 micrometer/pixel, Z: 4.9985 micrometer/slice, XY: 0.0901435 micrometer/pixel, Z: 1 micrometer/slice, XY: 0.2840909 micrometer/pixel, Z: 0.9999284 micrometer/slice, XY: 0.5679043 micrometer/pixel, Z: 1 micrometer/slice, XY: 0.300478 micrometer/pixel, Z: 0.242235 micrometer/slice, XY: 1.5152 micrometer/pixel, Z: 10.0008 micrometer/slice, XY: 0.3786028 micrometer/pixel, Z: 1.03815 micrometer/slice

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Other

ConfocalMicroscope

FluorescenceCorrelationSpectroscopy

Fluorescence

TCS SP8X

Leica HyD

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Richi Sakaguchi, Marcus N Leiwe, Takeshi Imai (2018) Bright multicolor labeling of neuronal circuits with fluorescent proteins and chemical tags., eLife, Volume 7

Published in 2018 Nov 20 (Electronic publication in Nov. 20, 2018, midnight )

• doi: 10.7554/eLife.40350
• pmid: 30454553
  
• url: https://elifesciences.org/articles/40350
  

(Abstract) The stochastic multicolor labeling method 'Brainbow' is a powerful strategy to label multiple neurons differentially with fluorescent proteins; however, the fluorescence levels provided by the original attempts to use this strategy were inadequate. In the present study, we developed a stochastic multicolor labeling method with enhanced expression levels that uses a tetracycline-operator system (Tetbow). We optimized Tetbow for either plasmid or virus vector-mediated multicolor labeling. When combined with tissue clearing, Tetbow was powerful enough to visualize the three-dimensional architecture of individual neurons. Using Tetbow, we were able to visualize the axonal projection patterns of individual mitral/tufted cells along several millimeters in the mouse olfactory system. We also developed a Tetbow system with chemical tags, in which genetically encoded chemical tags were labeled with synthetic fluorophores. This was useful in expanding the repertoire of the fluorescence labels and the applications of the Tetbow system. Together, these new tools facilitate light-microscopy-based neuronal tracing at both a large scale and a high resolution.

(MeSH Terms)

• Animals
• Luminescent Proteins/genetics
• Luminescent Proteins/metabolism
• Mice
• Neuroanatomical Tract-Tracing Techniques/methods[major]
• Neuronal Tract-Tracers/metabolism[major]
• Olfactory Bulb/anatomy & histology
• Recombinant Proteins/genetics
• Recombinant Proteins/metabolism
• Staining and Labeling/methods[major]

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Takeshi Imai , Kyushu University , Graduate School of Medical Sciences , Department of Developmental Neurophysiology

Richi Sakaguchi, Marcus N. Leiwe, Takeshi Imai

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