The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The interpretation of morphogen gradients
Abstract
Morphogens act as graded positional cues that control cell fate specification in many developing tissues. This concept, in which a signalling gradient regulates differential gene expression in a concentration-dependent manner, provides a basis for understanding many patterning processes. It also raises several mechanistic issues, such as how responding cells perceive and interpret the concentration-dependent information provided by a morphogen to generate precise patterns of gene expression and cell differentiation in developing tissues. Here, we review recent work on the molecular features of morphogen signalling that facilitate the interpretation of graded signals and attempt to identify some emerging common principles.
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
Transcriptional Regulatory Networks in Saccharomyces cerevisiae
Lee, T. I., Rinaldi, N. J., Robert, F., Odom, D. T., Bar-Joseph, Z., Gerber, G. K., Hannett, N. M., Harbison, C. T., Thompson, C. M., Simon, I., et al. (2002) · Science · doi:10.1126/science.1075090 · Cited by 2,956
One hundred years of positional information.
Wolpert, L. (1996) · Trends in Genetics · doi:10.1016/s0168-9525(96)80019-9 · Cited by 265
Goldbeter, A., & Koshland, D. E. (1984) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)42619-6 · Cited by 230 · cited 1×
“A well-characterised example of this is the regulation of Hoxb4 in the vertebrate hindbrain (Gould et al., 1998; Gould et al., 1997).”
BackgroundThe 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
Papatsenko, D., & Levine, M. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409414102 · Cited by 82
Cited by
Hydrogels as extracellular matrix mimics for 3D cell culture
Tibbitt, M. W., & Anseth, K. S. (2009) · Biotechnology and Bioengineering · doi:10.1002/bit.22361 · Cited by 2,727
Biomolecular gradients in cell culture systems
Keenan, T. M., & Folch, A. (2008) · Lab Chip · doi:10.1039/b711887b · Cited by 596
Giobbe, G. G., Crowley, C., Luni, C., Campinoti, S., Khedr, M., Kretzschmar, K., De Santis, M. M., Zambaiti, E., Michielin, F., Meran, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-13605-4 · Cited by 500
Morpheus Unbound: Reimagining the Morphogen Gradient
Lander, A. D. (2007) · Cell · doi:10.1016/j.cell.2007.01.004 · Cited by 331
Liver zonation: Novel aspects of its regulation and its impact on homeostasis
Gebhardt, R. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i26.8491 · Cited by 275
Ribes, V., & Briscoe, J. (2009) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a002014 · Cited by 232
Self-citationAgent-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
Jaeger, J., Irons, D., & Monk, N. (2008) · Development · doi:10.1242/dev.018697 · Cited by 110
Li, L., Zhu, Q., He, X., Sinha, S., & Halfon, M. S. (2007) · Genome Biology · doi:10.1186/gb-2007-8-6-r101 · Cited by 69
A mechanism for the sharp transition of morphogen gradient interpretation in Xenopus
Saka, Y., & Smith, J. C. (2007) · BMC Developmental Biology · doi:10.1186/1471-213x-7-47 · Cited by 54
Tzezana, R., Reznik, S., Blumenthal, J., Zussman, E., & Levenberg, S. (2012) · Macromolecular Bioscience · doi:10.1002/mabi.201100312 · Cited by 11
Metadata
- Authors
- Ashe, H. L., & Briscoe, J.
- Venue
- Development
- Publisher
- The Company of Biologists
- Published
- 2006-02-01
- Volume
- 133
- Issue
- 3
- Pages
- 385-394
- ISSN
- 0950-1991 (ISSN-L)
- 1477-9129
- OpenAlex
- W2163569157
- Cited by
- 486
- References
- 5
- FWCI
- 13.63
- 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.
