Evidence map›Paper›PMID 40549920›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Molecular contacts in self-assembling clusters of membrane proteins.

Venkata Shiva Mandala, Ziao Fu, Roderick MacKinnon

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Cholesterol, PtdIns(4,5)PbioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Conformational equilibria in the activation of cystine-knot hormone receptors.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Article
  9. A biased allosteric modulator functions as a molecular glue to induce βbioRxiv : the preprint server for biology · 2025
    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

3 authors.

Venkata Shiva Mandala *Laboratory of Molecular Neurobiology and Biophysics, The Rockefeller University, New York, NY 10065.
Ziao Fu *Laboratory of Molecular Neurobiology and Biophysics, The Rockefeller University, New York, NY 10065.
Roderick MacKinnonLaboratory of Molecular Neurobiology and Biophysics, The Rockefeller University, New York, NY 10065.ORCID 0000-0001-7605-4679

Funding

HHMI (HHMI) NAJane Coffin Childs Memorial Fund for Medical Research (JCC) 61-1781
6 · The paper itself

Abstract

Motivated by recent data pointing to the existence of homo-oligomeric assemblies of membrane proteins called higher-order transient structures, and their apparent role in connecting components of membrane signal pathways, we examine here by cryoelectron microscopy some of the protein-protein interactions that occur in cluster formation. Metabotropic glutamate receptors and HCN ion channels inside clusters contact their neighbors through structured extracellular and intracellular domains, respectively. Other ion channels, including Kv2.1 and Slo1, appear to form clusters through prominent intrinsically disordered sequences in the cytoplasm. These distinct modes of interaction are associated with clusters exhibiting varying degrees of compactness and order. We conclude that nature utilizes a variety of ways to form connections between membrane proteins in self-assembled clusters.

Indexed as

Membrane ProteinsAnimalsCryoelectron MicroscopyHumansModels, MolecularReceptors, Metabotropic GlutamateMembrane ProteinsReceptors, Metabotropic Glutamateclusteringcryo-EMHOTSmembrane proteins

Identifiers

PMID40549920
PMCPMC12232663

What OpenQuestion holds

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Registered trials

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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.