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Cited by 1,359

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Leakage-Resistant Blood Vessels in Mice Transgenically Overexpressing Angiopoietin-1

Thurston, G., Suri, C., Smith, K., McClain, J., Sato, T. N., Yancopoulos, G. D., McDonald, D. M.·1999·Science

Abstract

Angiopoietin-1 (Ang1) and vascular endothelial growth factor (VEGF) are endothelial cell–specific growth factors. Direct comparison of transgenic mice overexpressing these factors in the skin revealed that the VEGF-induced blood vessels were leaky, whereas those induced by Ang1 were nonleaky. Moreover, vessels in Ang1-overexpressing mice were resistant to leaks caused by inflammatory agents. Coexpression of Ang1 and VEGF had an additive effect on angiogenesis but resulted in leakage-resistant vessels typical of Ang1. Ang1 therefore may be useful for reducing microvascular leakage in diseases in which the leakage results from chronic inflammation or elevated VEGF and, in combination with VEGF, for promoting growth of nonleaky vessels.

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Crossref · 10.1126/science.286.5449.2511

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Metadata

Authors
Thurston, G., Suri, C., Smith, K., McClain, J., Sato, T. N., Yancopoulos, G. D., & McDonald, D. M.
Venue
Science
Published
1999-12-24
Volume
286
Issue
5449
Pages
2511-2514
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2084452119
Cited by
1,359
References
1
FWCI
19.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Leakage-Resistant Blood Vessels in Mice Transgenically Overexpressing Angiopoietin-1. https://app.cochat.ai/papers/10.1126/science.286.5449.2511
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Thurston, G., Suri, C., Smith, K., McClain, J., Sato, T. N., Yancopoulos, G. D., & McDonald, D. M. (1999). Leakage-Resistant Blood Vessels in Mice Transgenically Overexpressing Angiopoietin-1. Science. https://doi.org/10.1126/science.286.5449.2511

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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.