The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cell autonomous requirement for PDGFRα in populations of cranial and cardiac neural crest cells
Abstract
Cardiac and cephalic neural crest cells (NCCs) are essential components of the craniofacial and aortic arch mesenchyme. Genetic disruption of the platelet-derived growth factor receptor α (PDGFRα) results in defects in multiple tissues in the mouse, including neural crest derivatives contributing to the frontonasal process and the aortic arch. Using chimeric analysis, we show that loss of the receptor in NCCs renders them inefficient at contributing to the cranial mesenchyme. Conditional gene ablation in NCCs results in neonatal lethality because of aortic arch defects and a severely cleft palate. The conotruncal defects are first observed at E11.5 and are consistent with aberrant NCC development in the third, fourth and sixth branchial arches, while the bone malformations present in the frontonasal process and skull coincide with defects of NCCs from the first to third branchial arches. Changes in cell proliferation, migration, or survival were not observed in PDGFRα NCC conditional embryos, suggesting that the PDGFRα may play a role in a later stage of NCC development. Our results demonstrate that the PDGFRα plays an essential, cell-autonomous role in the development of cardiac and cephalic NCCs and provides a model for the study of aberrant NCC development.
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Metadata
- Authors
- Tallquist, M. D., & Soriano, P.
- Venue
- Development
- Publisher
- The Company of Biologists
- Published
- 2003-02-01
- Volume
- 130
- Issue
- 3
- Pages
- 507-518
- ISSN
- 0950-1991 (ISSN-L)
- 1477-9129
- OpenAlex
- W2122972967
- Cited by
- 272
- References
- 1
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
