Evidence map›Paper›PMID 23685953›Full record

ReviewActa pharmacologica Sinica2013

Inside job: ligand-receptor pharmacology beneath the plasma membrane.

Joseph J Babcock, Min Li

Open access · hybridAbstract readReview
In one paragraph

Review in Acta pharmacologica Sinica, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Ghost messages: cell death signals spread.Cell communication and signaling : CCS · 2023
    Review
  3. Article
  4. Article
  5. Review
  6. 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

2 authors at 1 institution in 1 country.

Joseph J BabcockSolomon H. Snyder Department of Neuroscience, High Throughput Biology Center and Johns Hopkins Ion Channel Center, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
Min Li
High Throughput Biology (United States) · US

Funding

Johns Hopkins Ion Channel CenterU54MH084691 · NIMH · JOHNS HOPKINS UNIVERSITY · PI LI, MIN · 2008 to 2012
$13.9M
Molecular regulation of calcium-activated (BK) potassium channelsR01GM078579 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI LI, MIN · 2007 to 2010
$1.2M
NIGMS NIH HHS GM078579NIGMS NIH HHS R01 GM078579NIMH NIH HHS MH084691NIMH NIH HHS U54 MH084691
6 · The paper itself

Abstract

Most drugs acting on the cell surface receptors are membrane permeable and thus able to engage their target proteins in different subcellular compartments. However, these drugs' effects on cell surface receptors have historically been studied on the plasma membrane alone. Increasing evidence suggests that small molecules may also modulate their targeted receptors through membrane trafficking or organelle-localized signaling inside the cell. These additional modes of interaction have been reported for functionally diverse ligands of GPCRs, ion channels, and transporters. Such intracellular drug-target engagements affect cell surface expression. Concurrent intracellular and cell surface signaling may also increase the complexity and therapeutic opportunities of small molecule modulation. Here we discuss examples of ligand-receptor interactions that are present in both intra- and extracellular sites, and the potential therapeutic opportunities presented by this phenomenon.

Indexed as

AnimalsCell MembraneExtracellular FluidHumansIntracellular FluidIon ChannelsLigandsProtein TransportReceptors, Cell SurfaceIon ChannelsLigandsReceptors, Cell Surface

Identifiers

PMID23685953
PMCPMC3703709
OpenAlexW2118610709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.