↓ Skip to main content

Structural Basis for Binding Multiple Ligands by the Common Cytokine Receptor γ-Chain*

Overview of attention for article published in Journal of Biological Chemistry, January 2002
Altmetric Badge

Mentioned by

patent
34 patents

Readers on

mendeley
24 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Structural Basis for Binding Multiple Ligands by the Common Cytokine Receptor γ-Chain*
Published in
Journal of Biological Chemistry, January 2002
DOI 10.1074/jbc.m110520200
Pubmed ID
Authors
Abstract

The common gamma-chain (gamma(c)) that functions both in ligand binding and signal transduction is a shared subunit of the multichain receptors for interleukin (IL)-2, IL-4, IL-7, IL-9, IL-15, and IL-21. The structural basis by which the ectodomain of gamma(c) contributes to binding six distinct cytokines is only partially defined. In the present study, epitope mapping of antagonistic anti-gamma(c) monoclonal antibodies led to the identification of Asn-128 of mouse gamma(c) that represents another potential contact residue that is required for binding IL-2, IL-7, and IL-15 but not IL-4. In addition, Tyr-103, Cys-161, Cys-210, and Cys-211, previously identified to contribute to binding IL-2 and IL-7, were also found to be involved in binding IL-4 and IL-15. Collectively, these data favor a model in which gamma(c) utilizes a common mechanism for its interactions with multiple cytokines, and the binding sites are largely overlapping but not identical. Asn-128 and Tyr-103 likely act as contact residues whereas Cys-161, Cys-210, and Gly-211 may stabilize the structure of the proposed ligand-interacting surface formed by the two extracytoplasmic domains.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 6 25%
Student > Ph. D. Student 4 17%
Student > Doctoral Student 3 13%
Other 2 8%
Professor > Associate Professor 2 8%
Other 3 13%
Unknown 4 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 9 38%
Biochemistry, Genetics and Molecular Biology 4 17%
Medicine and Dentistry 4 17%
Immunology and Microbiology 2 8%
Engineering 1 4%
Other 0 0%
Unknown 4 17%