Summary of ssbd-repos-00032

SSBD:database
URL

Name
ssbd-repos-00032 (32-Matsuda-SigDyn)
URL
DOI
-

Title
-
Description
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Submited Date
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Release Date
2017-10-03
Updated Date
2018-11-15
License
Funding information
-
File formats
Data size
164.6 MB

Organism
C. griseus
Strain
CHO
Cell Line
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Genes
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Proteins
Delta, tTS

GO Molecular Function (MF)
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GO Biological Process (BP)
NA
GO Cellular Component (CC)
NA
Study Type
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Imaging Methods
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Method Summary
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Related paper(s)

Mitsuhiro Matsuda, Makito Koga, Knut Woltjen, Eisuke Nishida, Miki Ebisuya (2015) Synthetic lateral inhibition governs cell-type bifurcation with robust ratios., Nature communications, Volume 6, pp. 6195

Published in 2015 Feb 5 (Electronic publication in Feb. 5, 2015, midnight )

(Abstract) Cell-type diversity in multicellular organisms is created through a series of binary cell fate decisions. Lateral inhibition controlled by Delta-Notch signalling is the core mechanism for the choice of alternative cell types by homogeneous neighbouring cells. Here, we show that cells engineered with a Delta-Notch-dependent lateral inhibition circuit spontaneously bifurcate into Delta-positive and Notch-active cell populations. The synthetic lateral inhibition circuit comprises transcriptional repression of Delta and intracellular feedback of Lunatic fringe (Lfng). The Lfng-feedback subcircuit, even alone, causes the autonomous cell-type bifurcation. Furthermore, the ratio of two cell populations bifurcated by lateral inhibition is reproducible and robust against perturbation. The cell-type ratio is adjustable by the architecture of the lateral inhibition circuit as well as the degree of cell-cell attachment. Thus, the minimum lateral inhibition mechanism between adjacent cells not only serves as a binary cell-type switch of individual cells but also governs the cell-type ratio at the cell-population level.
(MeSH Terms)

Contact(s)
Miki Ebisuya
Organization(s)
RIKEN , Quantitative Biology Center , Laboratory for Reconstitutive Developmental Biology
Image Data Contributors
Quantitative Data Contributors

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