Evidence map›Paper›PMID 27957535›Full record

ArticleScience advances2016

Receptor dimer stabilization by hierarchical plasma membrane microcompartments regulates cytokine signaling.

Changjiang You, Tatiana T Marquez-Lago, Christian Paolo Richter, Stephan Wilmes, Ignacio Moraga, K Christopher Garcia, André Leier, Jacob Piehler

Abstract read
In one paragraph

Article in Science advances, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Choosing the Probe for Single-Molecule Fluorescence Microscopy.International journal of molecular sciences · 2022
    Review
  6. Optimal ligand discrimination by asymmetric dimerization and turnover of interferon receptors.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Flow Arrest in the Plasma Membrane.Biophysical journal · 2019
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Changjiang YouDepartment of Biology, University of Osnabrück, Barbarastraße 11, 49076 Osnabrück, Germany.ORCID 0000-0002-7839-6397
Tatiana T Marquez-LagoIsaac Newton Institute for Mathematical Sciences, University of Cambridge, Cambridge, U.K.
Christian Paolo RichterDepartment of Biology, University of Osnabrück, Barbarastraße 11, 49076 Osnabrück, Germany.
Stephan WilmesDepartment of Biology, University of Osnabrück, Barbarastraße 11, 49076 Osnabrück, Germany.
Ignacio MoragaHoward Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Molecular and Cellular Physiology and Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
K Christopher GarciaHoward Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.; Department of Molecular and Cellular Physiology and Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
André LeierIsaac Newton Institute for Mathematical Sciences, University of Cambridge, Cambridge, U.K.; Okinawa Institute of Science and Technology, Onna-son, Kunigami-gun, Okinawa 904-0495, Japan.
Jacob PiehlerDepartment of Biology, University of Osnabrück, Barbarastraße 11, 49076 Osnabrück, Germany.ORCID 0000-0002-2143-2270

Funding

Structure-based engineering of immune cytokine signalingR01AI051321 · NIAID · STANFORD UNIVERSITY · PI Kenan Christopher GARCIA · 2002 to 2026
$5.6M
NIAID NIH HHS R01 AI051321
6 · The paper itself

Abstract

The interaction dynamics of signaling complexes is emerging as a key determinant that regulates the specificity of cellular responses. We present a combined experimental and computational study that quantifies the consequences of plasma membrane microcompartmentalization for the dynamics of type I interferon receptor complexes. By using long-term dual-color quantum dot (QD) tracking, we found that the lifetime of individual ligand-induced receptor heterodimers depends on the integrity of the membrane skeleton (MSK), which also proved important for efficient downstream signaling. By pair correlation tracking and localization microscopy as well as by fast QD tracking, we identified a secondary confinement within ~300-nm-sized zones. A quantitative spatial stochastic diffusion-reaction model, entirely parameterized on the basis of experimental data, predicts that transient receptor confinement by the MSK meshwork allows for rapid reassociation of dissociated receptor dimers. Moreover, the experimentally observed apparent stabilization of receptor dimers in the plasma membrane was reproduced by simulations of a refined, hierarchical compartment model. Our simulations further revealed that the two-dimensional association rate constant is a key parameter for controlling the extent of MSK-mediated stabilization of protein complexes, thus ensuring the specificity of this effect. Together, experimental evidence and simulations support the hypothesis that passive receptor confinement by MSK-based microcompartmentalization promotes maintenance of signaling complexes in the plasma membrane.

Indexed as

Protein MultimerizationSignal TransductionCell LineCell MembraneCytokinesDiffusionHumansMicroscopy, FluorescenceQuantum DotsReceptor, Interferon alpha-betaCytokinesIFNAR1 protein, humanIFNAR2 protein, humanReceptor, Interferon alpha-betaCytokine receptor signalinghop diffusionplasma membrane organizationprotein-protein interactionsingle molecule trackingspatial stochastic modelingtype I interferon receptor

Identifiers

PMID27957535
PMCPMC5135388

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.