The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Applications of a theory of biological pattern formation based on lateral inhibition
Abstract
Model calculations are presented for various problems of development on the basis of a theory of primary pattern formation which we previously proposed. The theory involves shortrange autocatalytic activation and longer-range inhibition (lateral inhibition). When a certain criterion is satisfied, self-regulating patterns are generated. The autocatalytic features of the theory are demonstrated by simulations of the determination of polarity in the Xenopus retina. General conditions for marginal and internal activation, and corresponding effects of symmetry are discussed. Special molecular mechanisms of pattern formation are proposed in which activator is chemically converted into inhibitor, or an activator precursor is depleted by conversion into activator. The (slow) effects of primary patterns on differentiation can be included into the formalism in a straightforward manner. In conjunction with growth, this can lead to asymmetric steady states of cell types, cell differentiation and proliferation as found, for instance, in growing and budding hydra. In 2 dimensions, 2 different types of patterns can be obtained. Under some assumptions, a single pattern-forming system produces a ‘bristle’ type pattern of peaks of activity with rather regular spacings on a surface. Budding of hydra is treated on this basis. If, however, gradients’ develop under the influence of a weak external or marginal asymmetry, a monotonic gradient can be formed across the entire field, and 2 such gradient-forming systems can specify ‘positional information’ in 2 dimensions. If inhibitor equilibrates slowly, a spatial pattern may oscillate, as observed with regard to the intracellular activation of cellular slime moulds. The applications are intended to demonstrate the ability of the proposed theory to explain properties frequently encountered in developing systems.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Cited by
Reaction-Diffusion Model as a Framework for Understanding Biological Pattern Formation
Kondo, S., & Miura, T. (2010) · Science · doi:10.1126/science.1179047 · Cited by 1,651
Cephalopod chromatophores: neurobiology and natural history
MESSENGER, J. B. (2001) · Biological Reviews · doi:10.1017/s1464793101005772 · Cited by 414
Interactions between zebrafish pigment cells responsible for the generation of Turing patterns
Nakamasu, A., Takahashi, G., Kanbe, A., & Kondo, S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808622106 · Cited by 367
Dorsoventral Axis Formation in the Drosophila Embryo—Shaping and Transducing a Morphogen Gradient
Moussian, B., & Roth, S. (2005) · Current Biology · doi:10.1016/j.cub.2005.10.026 · Cited by 245
Agent-based modeling of morphogenetic systems: advantages and challenges.
Glen, C. M., Kemp, M. L., & Voit, E. O. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006577 · Cited by 116
Notch-signalling is required for head regeneration and tentacle patterning in Hydra
Münder, S., Tischer, S., Grundhuber, M., Büchels, N., Bruckmeier, N., Eckert, S., Seefeldt, C. A., Prexl, A., Käsbauer, T., & Böttger, A. (2013) · Developmental Biology · doi:10.1016/j.ydbio.2013.08.022 · Cited by 51
Metadata
- Authors
- Meinhardt, H., & Gierer, A.
- Venue
- Journal of Cell Science
- Publisher
- The Company of Biologists
- Published
- 1974-07-01
- Volume
- 15
- Issue
- 2
- Pages
- 321-346
- ISSN
- 0021-9533 (ISSN-L)
- 1477-9137
- OpenAlex
- W1949328498
- Cited by
- 462
- References
- 1
- FWCI
- 4.98
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.