Evidence map›Paper›PMID 26097438›Full record

ArticleThe arabidopsis book2015

Co-Immunoprecipitation of Membrane-Bound Receptors.

Julian R Avila, Jin Suk Lee, Keiko U Torii

Abstract read
In one paragraph

Article in The arabidopsis book, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Proteomic analysis of the pyrenoid-traversing membranes ofbioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Heterodimerization of Chemoreceptors TAS1R3 and mGluInternational journal of molecular sciences · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Review
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.

Julian R AvilaHoward Hughes Medical Institute, University of Washington, Seattle, WA 98195 ; Department of Biology, University of Washington, Seattle, WA 98195.
Jin Suk LeeHoward Hughes Medical Institute, University of Washington, Seattle, WA 98195 ; Department of Biology, University of Washington, Seattle, WA 98195.
Keiko U ToriiHoward Hughes Medical Institute, University of Washington, Seattle, WA 98195 ; Department of Biology, University of Washington, Seattle, WA 98195.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of cell-surface receptor dynamics is critical for understanding how cells sense and respond to changing environments. Therefore, elucidating the mechanisms by which signals are perceived and communicated into the cell is necessary to understand immunity, development, and stress. Challenges in testing interactions of membrane-bound proteins include their dynamic nature, their abundance, and the complex dual environment (lipid/soluble) in which they reside. Co-Immunoprecipitation (Co-IP) of tagged membrane proteins is a widely used approach to test protein-protein interaction in vivo. In this protocol we present a method to perform Co-IP using enriched membrane proteins in isolated microsomal fractions. The different variations of this protocol are highlighted, including recommendations and troubleshooting guides in order to optimize its application. This Co-IP protocol has been developed to test the interaction of receptor-like kinases, their interacting partners, and peptide ligands in stable Arabidopsis thaliana lines, but can be modified to test interactions in transiently expressed proteins in tobacco, and potentially in other plant models, or scaled for large-scale protein-protein interactions at the membrane.

Identifiers

PMID26097438
PMCPMC4470539

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.