Evidence map›Paper›PMID 24741711›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine

The structure of dynamic GPCR signaling networks.

Patrick R O'Neill, Lopamudra Giri, W K Ajith Karunarathne, Anilkumar K Patel, K V Venkatesh, N Gautam

Open access · greenAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 2 countries.

Patrick R O'Neill
Lopamudra Giri
W K Ajith Karunarathne
Anilkumar K Patel
K V Venkatesh
N Gautam
Washington University in St. Louis · USIndian Institute of Technology Indore · IN

Funding

SIGNALING IN LIVING CELLSR01GM069027 · NIGMS · WASHINGTON UNIVERSITY · PI GAUTAM, NARASIMHAN · 2004 to 2016
$3.2M
G PROTEIN SUBUNIT FUNCTIONR01GM080558 · NIGMS · WASHINGTON UNIVERSITY · PI GAUTAM, NARASIMHAN · 2008 to 2011
$1.8M
Mechanism and role of G-protein subunit translocation in cell signalingF32GM099351 · NIGMS · WASHINGTON UNIVERSITY · PI O'NEILL, PATRICK ROSS · 2011 to 2013
$155k
NIGMS NIH HHS F32 GM099351NIGMS NIH HHS GM069027NIGMS NIH HHS GM080558NIGMS NIH HHS GM099351NIGMS NIH HHS R01 GM069027NIGMS NIH HHS R01 GM080558
6 · The paper itself

Abstract

G-protein-coupled receptors (GPCRs) stimulate signaling networks that control a variety of critical physiological processes. Static information on the map of interacting signaling molecules at the basis of many cellular processes exists, but little is known about the dynamic operation of these networks. Here we focus on two questions. First, Is the network architecture underlying GPCR-activated cellular processes unique in comparison with others such as transcriptional networks? We discuss how spatially localized GPCR signaling requires uniquely organized networks to execute polarized cell responses. Second, What approaches overcome challenges in deciphering spatiotemporally dynamic networks that govern cell behavior? We focus on recently developed microfluidic and optical approaches that allow GPCR signaling pathways to be triggered and perturbed with spatially and temporally variant input while simultaneously visualizing molecular and cellular responses. When integrated with mathematical modeling, these approaches can help identify design principles that govern cell responses to extracellular signals. We outline why optical approaches that allow the behavior of a selected cell to be orchestrated continually are particularly well suited for probing network organization in single cells.

Indexed as

Receptors, G-Protein-CoupledSignal TransductionModels, BiologicalReceptors, G-Protein-Coupled

Identifiers

PMID24741711
PMCPMC4007319
OpenAlexW1641459608

What OpenQuestion holds

Textmetadata
LicenceTDM
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.