Evidence map›Paper›PMID 30784979›Full record

ReviewCurrent opinion in neurobiology2019

Subcellular control of membrane excitability in the axon.

Scott A Alpizar, In Ha Cho, Michael B Hoppa

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Beyond a Transmission Cable-New Technologies to Reveal the Richness in Axonal Electrophysiology.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. KScientific reports · 2021
    Article
  10. Article
  11. Editorial overview: Molecular neuroscience.Current opinion in neurobiology · 2019
    Article
  12. 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 at 1 institution in 1 country.

Scott A AlpizarDartmouth College, Department of Biological Sciences, Hanover, NH, United States.
In Ha ChoDartmouth College, Department of Biological Sciences, Hanover, NH, United States.
Michael B HoppaDartmouth College, Department of Biological Sciences, Hanover, NH, United States. Electronic address: Michael.B.Hoppa@dartmouth.edu.
Dartmouth College · US

Funding

Understanding the role of RNA-binding protein mutations in cancerP20GM113132 · NIGMS · DARTMOUTH COLLEGE · PI MADDEN, DEAN R · 2016 to 2025
$25.9M
NIGMS NIH HHS P20 GM113132
6 · The paper itself

Abstract

Ion channels are microscopic pore proteins in the membrane that open and close in response to chemical and electrical stimuli. This simple concept underlies rapid electrical signaling in the brain as well as several important aspects of neural plasticity. Although the soma accounts for less than 1% of many neurons by membrane area, it has been the major site of measuring ion channel function. However, the axon is one of the longest processes found in cellular biology and hosts a multitude of critical signaling functions in the brain. Not only does the axon initiate and rapidly propagate action potentials (APs) across the brain but it also forms the presynaptic terminals that convert these electrical inputs into chemical outputs. Here, we review recent advances in the physiological role of ion channels within the diverse landscape of the axon and presynaptic terminals.

Indexed as

AxonsPresynaptic TerminalsAction PotentialsIon ChannelsNeuronsIon Channels

Identifiers

PMID30784979
PMCPMC6919308
OpenAlexW2915911434

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.