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Cited by 386

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Tyrosine Phosphorylation of Transmembrane Ligands for Eph Receptors

Brückner, Katja, Pasquale, Elena B., Klein, Rüdiger·1997·Science

Abstract

Axonal pathfinding in the nervous system is mediated in part by cell-to-cell signaling events involving members of the Eph receptor tyrosine kinase (RTK) family and their membrane-bound ligands. Genetic evidence suggests that transmembrane ligands may transduce signals in the developing embryo. The cytoplasmic domain of the transmembrane ligand Lerk2 became phosphorylated on tyrosine residues after contact with the Nuk/Cek5 receptor ectodomain, which suggests that Lerk2 has receptorlike intrinsic signaling potential. Moreover, Lerk2 is an in vivo substrate for the platelet-derived growth factor receptor, which suggests crosstalk between Lerk2 signaling and signaling cascades activated by tyrosine kinases. It is proposed that transmembrane ligands of Eph receptors act not only as conventional RTK ligands but also as receptorlike signaling molecules.

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Crossref · 10.1126/science.275.5306.1640

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Metadata

Authors
Brückner, K., Pasquale, E. B., & Klein, R.
Venue
Science
Published
1997-03-14
Volume
275
Issue
5306
Pages
1640-1643
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2042482088
Cited by
386
References
23
FWCI
12.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tyrosine Phosphorylation of Transmembrane Ligands for Eph Receptors. https://app.cochat.ai/papers/10.1126/science.275.5306.1640
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Brückner, K., Pasquale, E. B., & Klein, R. (1997). Tyrosine Phosphorylation of Transmembrane Ligands for Eph Receptors. Science. https://doi.org/10.1126/science.275.5306.1640

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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.