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Cited by 999

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Isolation of a human placenta cDNA coding for a protein related to the vascular permeability factor.

Open access
Maglione, D, Guerriero, V, Viglietto, G, Delli-Bovi, P, Persico, M G·1991·Proceedings of the National Academy of Sciences

Abstract

A human cDNA coding for a protein related to the vascular permeability factor (VPF) was isolated from a term placenta cDNA library; we therefore named its product placenta growth factor (PlGF). PlGF is a 149-amino-acid-long protein and is highly homologous (53% identity) to the platelet-derived growth factor-like region of human VPF. Computer analyses reveal a putative signal peptide and two probable N-glycosylation sites in the PlGF protein, one of which is also conserved in human VPF. By using N-glycosidase F, tunicamycin, and specific antibodies produced in both chicken and rabbit, we demonstrate that PlGF, derived from transfected COS-1 cells, is actually N-glycosylated and secreted into the medium. In addition, PlGF, like VPF, proves to be a dimeric protein. Finally, a conditioned medium from COS-1 cells containing PlGF is capable of stimulating specifically the growth of CPA, a line of endothelial cells, in vitro.

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Metadata

Authors
Maglione, D., Guerriero, V, Viglietto, G., Delli-Bovi, P., & Persico, M. G.
Venue
Proceedings of the National Academy of Sciences
Published
1991-10-15
Volume
88
Issue
20
Pages
9267-9271
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2029763523
Cited by
999
References
2
FWCI
3.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Isolation of a human placenta cDNA coding for a protein related to the vascular permeability factor. https://app.cochat.ai/papers/10.1073/pnas.88.20.9267
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Maglione, D., Guerriero, V, Viglietto, G., Delli-Bovi, P., & Persico, M. G. (1991). Isolation of a human placenta cDNA coding for a protein related to the vascular permeability factor. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.88.20.9267

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.