The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Morphogen interpretation: concentration, time, competence, and signaling dynamics
Open accessAbstract
Tissue patterning during animal development is orchestrated by a handful of inductive signals. Most of these developmental cues act as morphogens, meaning they are locally produced secreted molecules that act at a distance to govern tissue patterning. The iterative use of the same signaling molecules in different developmental contexts demands that signal interpretation occurs in a highly context‐dependent manner. Hence the interpretation of signal depends on the specific competence of the receiving cells. Moreover, it has become clear that the differential interpretation of morphogens depends not only on the level of signaling but also the signaling dynamics, particularly the duration of signaling. In this review, we outline molecular mechanisms proposed in recent studies that explain how the response to morphogens is determined by differential competence, pathway intrinsic feedback, and the interpretation of signaling dynamics by gene regulatory networks. WIREs Dev Biol 2017, 6:e271. doi: 10.1002/wdev.271 This article is categorized under: Establishment of Spatial and Temporal Patterns > Gradients Gene Expression and Transcriptional Hierarchies > Gene Networks and Genomics Gene Expression and Transcriptional Hierarchies > Cellular Differentiation
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
Histone demethylation mediated by the nuclear amine oxidase homolog LSD1
Shi, Y., Lan, F., Matson, C., Mulligan, P., Whetstine, J. R., Cole, P. A., Casero, R. A., & Shi, Y. (2004) · Cell · doi:10.1016/j.cell.2004.12.012 · Cited by 4,051
Network motifs: theory and experimental approaches
Alon, U. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2102 · Cited by 3,279
Emerging properties of animal gene regulatory networks
Davidson, E. H. (2010) · Nature · doi:10.1038/nature09645 · Cited by 579
Visualization of a short-range Wnt gradient in the intestinal stem-cell niche
Farin, H. F., Jordens, I., Mosa, M. H., Basak, O., Korving, J., Tauriello, D. V. F., de Punder, K., Angers, S., Peters, P. J., Maurice, M. M., et al. (2016) · Nature · doi:10.1038/nature16937 · Cited by 525
CoREST: A functional corepressor required for regulation of neural-specific gene expression
Andrés, M. E., Burger, C., Peral-Rubio, M. J., Battaglioli, E., Anderson, M. E., Grimes, J., Dallman, J., Ballas, N., & Mandel, G. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.17.9873 · Cited by 494
The Interpretation of Position in a Morphogen Gradient as Revealed by Occupancy of Activin Receptors
Dyson, S., & Gurdon, J. B. (1998) · Cell · doi:10.1016/s0092-8674(00)81185-x · Cited by 204
Dessaud, E., Ribes, V., Balaskas, N., Yang, L. L., Pierani, A., Kicheva, A., Novitch, B. G., Briscoe, J., & Sasai, N. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000382 · Cited by 203
Self-citationKutejova, E., Sasai, N., Shah, A., Gouti, M., & Briscoe, J. (2016) · Developmental Cell · doi:10.1016/j.devcel.2016.02.013 · Cited by 87
Self-citationA direct fate exclusion mechanism by Sonic hedgehog-regulated transcriptional repressors
Nishi, Y., Zhang, X., Jeong, J., Peterson, K. A., Vedenko, A., Bulyk, M. L., Hide, W. A., & McMahon, A. P. (2015) · Development · doi:10.1242/dev.124636 · Cited by 53
Cited by
Programmed and self-organized flow of information during morphogenesis
Collinet, C., & Lecuit, T. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-00318-6 · Cited by 322
Establishing neuronal diversity in the spinal cord: a time and a place
Sagner, A., & Briscoe, J. (2019) · Development · doi:10.1242/dev.182154 · Cited by 281
Self-citationSagner, A., Gaber, Z. B., Delile, J., Kong, J. H., Rousso, D. L., Pearson, C. A., Weicksel, S. E., Melchionda, M., Mousavy Gharavy, S. N., Briscoe, J., et al. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2003127 · Cited by 96
BMP4 patterns Smad activity and generates stereotyped cell fate organization in spinal organoids
Duval, N., Vaslin, C., Barata, T. C., Frarma, Y., Contremoulins, V., Baudin, X., Nedelec, S., & Ribes, V. C. (2019) · Development · doi:10.1242/dev.175430 · Cited by 93
Modeling somatic computation with non-neural bioelectric networks
Manicka, S., & Levin, M. (2019) · Scientific Reports · doi:10.1038/s41598-019-54859-8 · Cited by 41
Metadata
- Authors
- Sagner, A., & Briscoe, J.
- Venue
- WIREs Developmental Biology
- Publisher
- Wiley
- Published
- 2017-03-20
- Volume
- 6
- Issue
- 4
- ISSN
- 1759-7684 (ISSN-L)
- 1759-7692
- OpenAlex
- W2601584115
- Cited by
- 165
- References
- 9
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
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.
