Evidence map›Paper›PMID 17827242›Full record

ArticleBiophysical journal2008

Inferring the lifetime of endosomal protein complexes by fluorescence recovery after photobleaching.

Veronika Gousseva, May Simaan, Stéphane A Laporte, Peter S Swain

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Improved FRAP Measurements on Biofilms.Biophysical journal · 2020
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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

4 authors at 1 institution in 1 country.

Veronika GoussevaCentre for Non-Linear Dynamics, Department of Physiology, McGill University, Montreal, Quebec, Canada.
May Simaan
Stéphane A Laporte
Peter S Swain
McGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular signal transduction is dynamic, with signaling proteins continually associating and dissociating into and from protein complexes. Here we present a fluorescence recovery after photobleaching technique to determine the lifetime of protein complexes on intracellular vesicles. We use Bayesian inference based on a model that includes the diffusion of cytosolic proteins and their interaction with membrane-bound receptors. Our analysis is general: we incorporate prior information on protein diffusion, measurement error in determining fluorescence intensities, corrections for photobleaching, and variation in the concentration of receptors between vesicles. We apply our method to the complexes formed on endosomes by G-protein-coupled receptors and the protein beta-arrestin. The lifetime of these complexes determines the recycling rate of the receptors. We find in mammalian cells that the bradykinin type 2 receptor and beta-arrestin2 complex has a lifetime of approximately 2 min, while the angiotensin II type 1A receptor and beta-arrestin2 complex has a lifetime of approximately 6 min. As well as allowing quantitative comparisons between experiments, our method provides in vivo parameters for systems biology simulations of signaling networks.

Indexed as

AlgorithmsAnimalsArrestinsbeta-ArrestinsCarrier ProteinsCell LineComputer SimulationEndosomesFluorescence Recovery After PhotobleachingHumansMicroscopy, ConfocalRatsReceptor, Angiotensin, Type 1Receptor, Bradykinin B2Time FactorsArrestinsbeta-ArrestinsCarrier ProteinsReceptor, Angiotensin, Type 1Receptor, Bradykinin B2

Identifiers

PMID17827242
PMCPMC2157253
OpenAlexW2152482698

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.