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Cited by 550

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Metalloprotease-disintegrins: modular proteins capable of promoting cell-cell interactions and triggering signals by protein-ectodomain shedding

Schlöndorff, Johannes, Blobel, Carl P.·1999·Journal of Cell Science

Abstract

Metalloprotease-disintegrins (ADAMs) have captured our attention as key players in fertilization and in the processing of the ectodomains of proteins such as tumor necrosis factor α (TNFα), and because of their roles in Notch-mediated signaling, neurogenesis and muscle fusion. ADAMs are integral membrane glycoproteins that contain a disintegrin domain, which is related to snake-venom integrin ligands, and a metalloprotease domain (which can contain or lack a catalytic site). Here, we review and critically discuss current topics in the ADAMs field, including the central role of fertilin in fertilization, the role of the TNFα convertase in protein ectodomain processing, the role of Kuzbanian in Notch signaling, and links between ADAMs and processing of the amyloid-precursor protein.

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Crossref · 10.1242/jcs.112.21.3603

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Metadata

Authors
Schlöndorff, J., & Blobel, C. P.
Venue
Journal of Cell Science
Published
1999-11-01
Volume
112
Issue
21
Pages
3603-3617
ISSN
  • 0021-9533 (ISSN-L)
  • 1477-9137
OpenAlex
W2139688694
Cited by
550
References
7
FWCI
15.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metalloprotease-disintegrins: modular proteins capable of promoting cell-cell interactions and triggering signals by protein-ectodomain shedding. https://app.cochat.ai/papers/10.1242/jcs.112.21.3603
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Schlöndorff, J., & Blobel, C. P. (1999). Metalloprotease-disintegrins: modular proteins capable of promoting cell-cell interactions and triggering signals by protein-ectodomain shedding. Journal of Cell Science. https://doi.org/10.1242/jcs.112.21.3603

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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.