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Cited by 269

The DOI matches its Crossref record; 168 of the 168 references it cites were found in a registry or an index.

BMP signaling in vascular diseases

Open access
Cai, Jie, Pardali, Evangelia, Sánchez-Duffhues, Gonzalo, ten Dijke, Peter·2012·FEBS Letters

Abstract

Bone morphogenetic proteins (BMPs) are members of the transforming growth factor‐β (TGF‐β) family that signal via type I and type II serine/threonine kinase receptors and intracellular Smad transcription factors. BMPs are multifunctional regulators of development and tissue homeostasis and they were initially characterized as inducers of bone regeneration. Genetic studies in humans and mice showed that perturbations in BMP signaling lead to various diseases, such as skeletal diseases, vascular diseases and cancer. Mutations in BMP type II receptor and BMP type I receptor/activin receptor‐like kinase 1 have been linked to pulmonary arterial hypertension and hereditary hemorrhagic telangiectasia, respectively. BMPs have also been implicated in promoting vascular calcification and tumor angiogenesis. In this review we discuss the role of BMP signaling in vascular diseases and the value of BMP signaling as a vascular disease marker or a therapeutic target.

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Metadata

Authors
Cai, J., Pardali, E., Sánchez-Duffhues, G., & ten Dijke, P.
Venue
FEBS Letters
Publisher
Wiley
Published
2012-05-03
Volume
586
Issue
14
Pages
1993-2002
ISSN
  • 0014-5793 (ISSN-L)
  • 1873-3468
OpenAlex
W2020777546
Cited by
269
References
168
FWCI
9.29
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: BMP signaling in vascular diseases. https://app.cochat.ai/papers/10.1016/j.febslet.2012.04.030
The paper
Cai, J., Pardali, E., Sánchez-Duffhues, G., & ten Dijke, P. (2012). BMP signaling in vascular diseases. FEBS Letters. https://doi.org/10.1016/j.febslet.2012.04.030

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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.