Multiple ligand-specific conformations of the β2-adrenergic receptor.

By Alem W. Kahsai, Kunhong Xiao, S. Rajagopal, Seungkirl Ahn, A. Shukla, Jin-peng Sun, Terrence G. Oas, R. J. Lefkowitz. 2011

253 citations recorded by the source corpus.

Seven-transmembrane receptors (7TMRs), also called G protein–coupled receptors (GPCRs), represent the largest class of drug targets, and they can signal through several distinct mechanisms including those mediated by G proteins and the multifunctional adaptor proteins β-arrestins. Moreover, several receptor ligands with differential efficacies toward these distinct signaling pathways have been identified. However, the structural basis and mechanism underlying this ‘biased agonism’ remains largely unknown. Here, we develop a quantitative mass spectrometry strategy that measures specific reactivities of individual side chains to investigate dynamic conformational changes in the β2-adrenergic receptor occupied by nine functionally distinct ligands. Unexpectedly, only a minority of residues showed reactivity patterns consistent with classical agonism, whereas the majority showed distinct patterns of reactivity even between functionally similar ligands. These findings demonstrate, contrary to two-state models for receptor activity, that there is significant variability in receptor conformations induced by different ligands, which has significant implications for the design of new therapeutic agents.

Subfields: Animal Science and Zoology, Molecular Biology, Spectroscopy, Computational Biology & Bioinformatics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

  1. Éric Reiter
  2. Seungkirl Ahn
  3. A. Shukla
  4. R. J. Lefkowitz
  5. Glaucius Oliva
  6. L. Ferreira
  7. Ricardo N Dos Santos
  8. Adriano Defini Andricopulo

In Spectroscopy

  1. Glaucius Oliva
  2. Adriano Defini Andricopulo
  3. L. Ferreira
  4. Ricardo N Dos Santos
  5. R. J. Lefkowitz

In Computational Biology & Bioinformatics

  1. Glaucius Oliva
  2. Adriano Defini Andricopulo
  3. L. Ferreira
  4. Ricardo N Dos Santos

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