The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Mesenchymal–endothelial transition contributes to cardiac neovascularization
Open accessAbstract
Endothelial cells contribute to a subset of cardiac fibroblasts by undergoing endothelial-to-mesenchymal transition, but whether cardiac fibroblasts can adopt an endothelial cell fate and directly contribute to neovascularization after cardiac injury is not known. Here, using genetic fate map techniques, we demonstrate that cardiac fibroblasts rapidly adopt an endothelial-cell-like phenotype after acute ischaemic cardiac injury. Fibroblast-derived endothelial cells exhibit anatomical and functional characteristics of native endothelial cells. We show that the transcription factor p53 regulates such a switch in cardiac fibroblast fate. Loss of p53 in cardiac fibroblasts severely decreases the formation of fibroblast-derived endothelial cells, reduces post-infarct vascular density and worsens cardiac function. Conversely, stimulation of the p53 pathway in cardiac fibroblasts augments mesenchymal-to-endothelial transition, enhances vascularity and improves cardiac function. These observations demonstrate that mesenchymal-to-endothelial transition contributes to neovascularization of the injured heart and represents a potential therapeutic target for enhancing cardiac repair.
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Cites
A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907
Myofibroblasts and mechano-regulation of connective tissue remodelling
Tomasek, J. J., Gabbiani, G., Hinz, B., Chaponnier, C., & Brown, R. A. (2002) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm809 · Cited by 4,290
Suppression of induced pluripotent stem cell generation by the p53–p21 pathway
Hong, H., Takahashi, K., Ichisaka, T., Aoi, T., Kanagawa, O., Nakagawa, M., Okita, K., & Yamanaka, S. (2009) · Nature · doi:10.1038/nature08235 · Cited by 1,301
A Chemical Inhibitor of p53 That Protects Mice from the Side Effects of Cancer Therapy
Komarov, P. G., Komarova, E. A., Kondratov, R. V., Christov-Tselkov, K., Coon, J. S., Chernov, M. V., & Gudkov, A. V. (1999) · Science · doi:10.1126/science.285.5434.1733 · Cited by 1,270
Acharya, A., Baek, S. T., Huang, G., Eskiocak, B., Goetsch, S., Sung, C. Y., Banfi, S., Sauer, M. F., Olsen, G. S., Duffield, J. S., et al. (2012) · Development · doi:10.1242/dev.079970 · Cited by 498
Cited by
Nieto, M. A., Huang, R. Y.-J., Jackson, R. A., & Thiery, J. P. (2016) · Cell · doi:10.1016/j.cell.2016.06.028 · Cited by 4,492
The biology and function of fibroblasts in cancer
Kalluri, R. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.73 · Cited by 4,366
Specialized fibroblast differentiated states underlie scar formation in the infarcted mouse heart
Fu, X., Khalil, H., Kanisicak, O., Boyer, J. G., Vagnozzi, R. J., Maliken, B. D., Sargent, M. A., Prasad, V., Valiente-Alandi, I., Blaxall, B. C., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci98215 · Cited by 636
Redefining the identity of cardiac fibroblasts
Tallquist, M. D., & Molkentin, J. D. (2017) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2017.57 · Cited by 581
Mesenchymal stem cells in fibrotic disease
El Agha, E., Kramann, R., Schneider, R. K., Li, X., Seeger, W., Humphreys, B. D., & Bellusci, S. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.07.011 · Cited by 430
Metadata
- Authors
- Ubil, E., Duan, J., Pillai, I. C. L., Rosa-Garrido, M., Wu, Y., Bargiacchi, F., Lu, Y., Stanbouly, S., Huang, J., Rojas, M., Vondriska, T. M., Stefani, E., & Deb, A.
- Venue
- Nature
- Published
- 2014-10-15
- Volume
- 514
- Issue
- 7524
- Pages
- 585-590
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1999310024
- Cited by
- 354
- References
- 5
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- green
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- Ubil, E., Duan, J., Pillai, I. C. L., Rosa-Garrido, M., Wu, Y., Bargiacchi, F., Lu, Y., Stanbouly, S., Huang, J., Rojas, M., Vondriska, T. M., Stefani, E., & Deb, A. (2014). Mesenchymal–endothelial transition contributes to cardiac neovascularization. Nature. https://doi.org/10.1038/nature13839
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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