Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 377

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

The cerebral cavernous malformation signaling pathway promotes vascular integrity via Rho GTPases

Open access
Whitehead, Kevin J, Chan, Aubrey C, Navankasattusas, Sutip, Koh, Wonshill, London, Nyall R, Ling, Jing, Mayo, Anne H, Drakos, Stavros G, Jones, Christopher A, Zhu, Weiquan, Marchuk, Douglas A, Davis, George E, Li, Dean Y·2009·Nature Medicine
DOI 10.1038/nm.1911
Open this paper in CoChat — free account

Abstract

Cerebral cavernous malformation (CCM) is a common vascular dysplasia that affects both systemic and central nervous system blood vessels. Loss of function mutations in the CCM2 gene cause CCM. Here we show that targeted disruption of Ccm2 in mice results in failed lumen formation and early embryonic death through an endothelial cell autonomous mechanism. We show that CCM2 regulates endothelial cytoskeletal architecture, cell-to-cell interactions and lumen formation. Heterozygosity at Ccm2, a genotype equivalent to that in human CCM, results in impaired endothelial barrier function. On the basis of our biochemical studies indicating that loss of CCM2 results in activation of RHOA GTPase, we rescued the cellular phenotype and barrier function in heterozygous mice with simvastatin, a drug known to inhibit Rho GTPases. These data offer the prospect for pharmacological treatment of a human vascular dysplasia with a widely available and safe drug.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nm.1911

Cites

37 of 37 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 377

Metadata

Authors
Whitehead, K. J., Chan, A. C., Navankasattusas, S., Koh, W., London, N. R., Ling, J., Mayo, A. H., Drakos, S. G., Jones, C. A., Zhu, W., Marchuk, D. A., Davis, G. E., & Li, D. Y.
Venue
Nature Medicine
Publisher
Springer Science and Business Media LLC
Published
2009-01-18
Volume
15
Issue
2
Pages
177-184
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
DOI
10.1038/nm.1911
OpenAlex
W2058599028
Cited by
377
References
37
FWCI
20.63
Type
journal article
Language
en
Open access
green

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.