Evidence map›Paper›PMID 24423395›Full record

ArticleMolecular brain2014

Synaptotagmin I delays the fast inactivation of Kv1.4 channel through interaction with its N-terminus.

Chunliang Xie, Haibo Su, Tianyao Guo, Yizhong Yan, Xiaozhen Peng, Rui Cao, Ying Wang, Ping Chen, Xianchun Wang, Songping Liang

Open access · goldAbstract read
In one paragraph

Article in Molecular brain, 2014. 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 44% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. The Effects of 4-Hydroxybenzoic Acid Identified from Bamboo (The Malaysian journal of medical sciences : MJMS · 2018
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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

10 authors at 2 institutions in 1 country.

Chunliang Xie
Haibo Su
Tianyao Guo
Yizhong Yan
Xiaozhen Peng
Rui Cao
Ying Wang
Ping Chen
Xianchun WangKey Laboratory of Protein Chemistry and Developmental Biology of Ministry of Education, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, P, R, China. wang_xianchun@263.net.
Songping Liang
Hunan Normal University · CNInstitute of Bast Fiber Crops · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe voltage-gated potassium channel Kv1.4 is an important A-type potassium channel and modulates the excitability of neurons in central nervous system. Analysis of the interaction between Kv1.4 and its interacting proteins is helpful to elucidate the function and mechanism of the channel.

resultsIn the present research, synaptotagmin I was for the first time demonstrated to be an interacting protein of Kv1.4 and its interaction with Kv1.4 channel did not require the mediation of other synaptic proteins. Using patch-clamp technique, synaptotagmin I was found to delay the inactivation of Kv1.4 in HEK293T cells in a Ca2+-dependent manner, and this interaction was proven to have specificity. Mutagenesis experiments indicated that synaptotagmin I interacted with the N-terminus of Kv1.4 and thus delayed its N-type fast inactivation.

conclusionThese data suggest that synaptotagmin I is an interacting protein of Kv1.4 channel and, as a negative modulator, may play an important role in regulating neuronal excitability and synaptic efficacy.

Indexed as

Ion Channel GatingAnimalsCalciumChromatography, AffinityHEK293 CellsHippocampusHumansIntracellular SpaceKineticsKv1.4 Potassium ChannelMutant ProteinsProtein BindingProteomicsRatsRats, Sprague-DawleyReproducibility of ResultsCalciumKv1.4 Potassium ChannelMutant ProteinsSynaptotagmin I

Identifiers

PMID24423395
PMCPMC3896893
OpenAlexW2155015827

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Registered trials

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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.