ReviewMolecular neurobiology2017
The Good and the Bad of Glutamate Receptor RNA Editing.
Review in Molecular neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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.
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Who cites it
17 citing papers in PubMed, 37 citations in OpenAlex.
- Ocular A-to-I RNA editing signatures associated with SARS-CoV-2 infection.BMC genomics · 2024Article
- Detection of Developmental Asexual Stage-Specific RNA Editing Events inMicroorganisms · 2024Article
- GluK2 Q/R editing regulates kainate receptor signaling and long-term potentiation of AMPA receptors.iScience · 2023Article
- The Concise Guide to PHARMACOLOGY 2023/24: Ion channels.British journal of pharmacology · 2023Article
- Functional and Molecular Changes in the Prefrontal Cortex of the Chronic Mild Stress Rat Model of Depression and Modulation by Acute Ketamine.International journal of molecular sciences · 2023Article
- Recent Investigations on Neurotransmitters' Role in Acute White Matter Injury of Perinatal Glia and Pharmacotherapies-Glia Dynamics in Stem Cell Therapy.Molecular neurobiology · 2022Review
- Structure, Function, and Pharmacology of Glutamate Receptor Ion Channels.Pharmacological reviews · 2021Review
- Splicing and editing of ionotropic glutamate receptors: a comprehensive analysis based on human RNA-Seq data.Cellular and molecular life sciences : CMLS · 2021Article
- Glutaminolysis: A Driver of Vascular and Cardiac Remodeling in Pulmonary Arterial Hypertension.Frontiers in cardiovascular medicine · 2021Review
- RNA Editing and Modifications in Mood Disorders.Genes · 2020Review
- Article
- Exciting Times: New Advances Towards Understanding the Regulation and Roles of Kainate Receptors.Neurochemical research · 2019Review
- Brain region-specific alterations of RNA editing in PDE8A mRNA in suicide decedents.Translational psychiatry · 2019Article
- Article
- ADAR2-mediated Q/R editing of GluK2 regulates kainate receptor upscaling in response to suppression of synaptic activity.Journal of cell science · 2018Article
- SPARC and GluA1-Containing AMPA Receptors Promote Neuronal Health Following CNS Injury.Frontiers in cellular neuroscience · 2018Article
- Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Glutamate receptors play a key role in excitatory synaptic transmission and plasticity in the central nervous system (CNS). Their channel properties are largely dictated by the subunit composition of tetrameric receptors. Amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) and kainate channels are assembled from GluA1-4 AMPA or GluK1-5 kainate receptor subunits. However, their functional properties are highly modulated by a post-transcriptional mechanism called RNA editing. This process involves the enzymatic deamination of specific adenosines (A) into inosines (I) in pre-messenger RNA. This post-transcriptional modification leads to critical amino acid substitutions in the receptor subunits, which induce profound alterations of the channel properties. Three of the four AMPA and two of the five kainate receptor subunits are subjected to RNA editing. This study reviews the advances in understanding the importance of glutamate receptor RNA editing in finely tuning glutamatergic neurotransmission under physiological conditions and discusses the way in which the dis-regulation of RNA editing may be involved in neurological pathology.
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Registered trials
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.