The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Morphogen rules: design principles of gradient-mediated embryo patterning
Open accessAbstract
The Drosophila blastoderm and the vertebrate neural tube are archetypal examples of morphogen-patterned tissues that create precise spatial patterns of different cell types. In both tissues, pattern formation is dependent on molecular gradients that emanate from opposite poles. Despite distinct evolutionary origins and differences in time scales, cell biology and molecular players, both tissues exhibit striking similarities in the regulatory systems that establish gene expression patterns that foreshadow the arrangement of cell types. First, signaling gradients establish initial conditions that polarize the tissue, but there is no strict correspondence between specific morphogen thresholds and boundary positions. Second, gradients initiate transcriptional networks that integrate broadly distributed activators and localized repressors to generate patterns of gene expression. Third, the correct positioning of boundaries depends on the temporal and spatial dynamics of the transcriptional networks. These similarities reveal design principles that are likely to be broadly applicable to morphogen-patterned tissues.
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Cites
The chemical basis of morphogenesis
Turing, A. M. (1952) · Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences · doi:10.1098/rstb.1952.0012 · Cited by 11,733
Stochastic Gene Expression in a Single Cell
Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441
Neuronal specification in the spinal cord: inductive signals and transcriptional codes
Jessell, T. M. (2000) · Nature Reviews Genetics · doi:10.1038/35049541 · Cited by 2,089
The mechanisms of Hedgehog signalling and its roles in development and disease
Briscoe, J., & Thérond, P. P. (2013) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3598 · Cited by 1,751
Self-citationEmerging properties of animal gene regulatory networks
Davidson, E. H. (2010) · Nature · doi:10.1038/nature09645 · Cited by 579
The zinc-finger protein Zelda is a key activator of the early zygotic genome in Drosophila
Liang, H.-L., Nien, C.-Y., Liu, H.-Y., Metzstein, M. M., Kirov, N., & Rushlow, C. (2008) · Nature · doi:10.1038/nature07388 · Cited by 478
Shadow enhancers as a source of evolutionary novelty
Hong, J.-W., Hendrix, D. A., & Levine, M. S. (2008) · Science · doi:10.1126/science.1160631 · Cited by 474
Humke, E. W., Dorn, K. V., Milenkovic, L., Scott, M. P., & Rohatgi, R. (2010) · Genes & Development · doi:10.1101/gad.1902910 · Cited by 444
SnapShot: spinal cord development
Alaynick, W. A., Jessell, T. M., & Pfaff, S. L. (2011) · Cell · doi:10.1016/j.cell.2011.06.038 · Cited by 338
Multiple enhancers ensure precision of gap gene-expression patterns in the Drosophila embryo
Perry, M. W., Boettiger, A. N., & Levine, M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1109873108 · Cited by 228
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Delile, J., Rayon, T., Melchionda, M., Edwards, A., Briscoe, J., & Sagner, A. (2019) · Development · doi:10.1242/dev.173807 · Cited by 356
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Optimal decoding of cellular identities in a genetic network
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Tissue Biology: In Search of a New Paradigm
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Metadata
- Authors
- Briscoe, J., & Small, S.
- Venue
- Development
- Publisher
- The Company of Biologists
- Published
- 2015-12-01
- Volume
- 142
- Issue
- 23
- Pages
- 3996-4009
- ISSN
- 0950-1991 (ISSN-L)
- 1477-9129
- OpenAlex
- W2207941023
- Cited by
- 490
- References
- 14
- FWCI
- 13.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
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