Evidence map›Paper›PMID 25368153›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Differential gradients of interaction affinities drive efficient targeting and recycling in the GET pathway.

Michael E Rome, Un Seng Chio, Meera Rao, Harry Gristick, Shu-ou Shan

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.0field-weighted citation impact, top 16% of its field
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

31 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Endoplasmic Reticulum and the Fidelity of Nascent Protein Localization.Cold Spring Harbor perspectives in biology · 2023
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. The mechanisms of integral membrane protein biogenesis.Nature reviews. Molecular cell biology · 2022
    Review
  12. Review
  13. Structural insights into metazoan pretargeting GET complexes.Nature structural & molecular biology · 2021
    Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Michael E RomeDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125.
Un Seng ChioDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125.
Meera RaoDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125.
Harry GristickDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125.
Shu-ou ShanDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125 sshan@caltech.edu.
California Institute of Technology · US

Funding

PREDOCTORAL TRAINING IN BIOLOGY AND CHEMISTRYT32GM007616 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI STERNBERG, PAUL WARREN · 1985 to 2019
$22.9M
Molecular mechanisms of post-translational targeting of tail-anchored proteins.R01GM107368 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI SHAN, SHU-OU · 2014 to 2019
$2.1M
NIGMS NIH HHS 5T32GM007616-33NIGMS NIH HHS R01 GM107368NIGMS NIH HHS T32 GM007616
6 · The paper itself

Abstract

Efficient and accurate localization of membrane proteins requires a complex cascade of interactions between protein machineries. This requirement is exemplified in the guided entry of tail-anchored (TA) protein (GET) pathway, where the central targeting factor Get3 must sequentially interact with three distinct binding partners to ensure the delivery of TA proteins to the endoplasmic reticulum (ER) membrane. To understand the molecular principles that provide the vectorial driving force of these interactions, we developed quantitative fluorescence assays to monitor Get3-effector interactions at each stage of targeting. We show that nucleotide and substrate generate differential gradients of interaction energies that drive the ordered interaction of Get3 with successive effectors. These data also provide more molecular details on how the targeting complex is captured and disassembled by the ER receptor and reveal a previously unidentified role for Get4/5 in recycling Get3 from the ER membrane at the end of the targeting reaction. These results provide general insights into how complex protein interaction cascades are coupled to energy inputs in biological systems.

Indexed as

Adaptor Proteins, Vesicular TransportAdenosine TriphosphatasesAdenosine TriphosphateBinding, CompetitiveBinding SitesCarrier ProteinsCysteineEndoplasmic ReticulumGuanine Nucleotide Exchange FactorsMembrane ProteinsModels, MolecularProtein BindingProtein ConformationProtein Interaction MappingSaccharomyces cerevisiae ProteinsSpectrometry, FluorescenceAdaptor Proteins, Vesicular TransportAdenosine TriphosphatasesAdenosine TriphosphateCarrier ProteinsCysteineGET1 protein, S cerevisiaeGet2 protein, S cerevisiaeGet3 protein, S cerevisiaeGET4 protein, S cerevisiaeGuanine Nucleotide Exchange FactorsMdy2 protein, S cerevisiaeMembrane ProteinsSaccharomyces cerevisiae ProteinsUbiquitinATPasefluorescenceprotein interaction cascadesprotein targetingtail-anchored protein

Identifiers

PMID25368153
PMCPMC4246279
OpenAlexW2020513788

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.