Evidence map›Paper›PMID 31953461›Full record

ArticleScientific reports2020

Role of p90 ribosomal S6 kinase in long-term synaptic facilitation and enhanced neuronal excitability.

Rong-Yu Liu, Yili Zhang, Paul Smolen, Leonard J Cleary, John H Byrne

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. The Right Time for a Synapse to Change: Windows and Mechanisms of Multiday Training Trials.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  9. Molecular Profile of Intrahepatic Cholangiocarcinoma.International journal of molecular sciences · 2023
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  14. KRAS mutation: from undruggable to druggable in cancer.Signal transduction and targeted therapy · 2021
    Review
  15. Article
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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

5 authors at 1 institution in 1 country.

Rong-Yu LiuDepartment of Neurobiology and Anatomy. W. M. Keck Center for the Neurobiology of Learning and Memory, McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin Street, Suite MSB 7.046, Houston, TX, 77030, USA.
Yili ZhangDepartment of Neurobiology and Anatomy. W. M. Keck Center for the Neurobiology of Learning and Memory, McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin Street, Suite MSB 7.046, Houston, TX, 77030, USA.
Paul SmolenDepartment of Neurobiology and Anatomy. W. M. Keck Center for the Neurobiology of Learning and Memory, McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin Street, Suite MSB 7.046, Houston, TX, 77030, USA.
Leonard J ClearyDepartment of Neurobiology and Anatomy. W. M. Keck Center for the Neurobiology of Learning and Memory, McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin Street, Suite MSB 7.046, Houston, TX, 77030, USA.
John H ByrneDepartment of Neurobiology and Anatomy. W. M. Keck Center for the Neurobiology of Learning and Memory, McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin Street, Suite MSB 7.046, Houston, TX, 77030, USA. John.H.Byrne@uth.tmc.edu.
The University of Texas Health Science Center · US

Funding

NEURAL CONTROL OF BEHAVIORR01NS019895 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BYRNE, JOHN H · 1985 to 2022
$8.3M
Modeling the Molecular Networks that Underlie the Formation and Consolidation of MemoryR01NS102490 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI John H Byrne · 2018 to 2026
$3.6M
Modeling Gene Regulation Essential for Long-Term PlasticityR01NS073974 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BYRNE, JOHN H · 2011 to 2015
$1.5M
NINDS NIH HHS R01 NS019895NINDS NIH HHS R01 NS073974NINDS NIH HHS R01 NS102490
6 · The paper itself

Abstract

Multiple kinases converge on the transcription factor cAMP response element-binding protein (CREB) to enhance the expression of proteins essential for long-term synaptic plasticity and memory. The p90 ribosomal S6 kinase (RSK) is one of these kinases, although its role is poorly understood. The present study exploited the technical advantages of the Aplysia sensorimotor culture system to examine the role of RSK in long-term synaptic facilitation (LTF) and long-term enhancement of neuronal excitability (LTEE), two correlates of long-term memory (LTM). Inhibition of RSK expression or RSK activity both significantly reduced CREB1 phosphorylation, LTF, and LTEE, suggesting RSK is required for learning-related synaptic plasticity and enhancement in neuronal excitability. In addition, knock down of RSK by RNAi in Aplysia sensory neurons impairs LTF, suggesting that this may be a useful single-cell system to study aspects of defective synaptic plasticity in Coffin-Lowry Syndrome (CLS), a cognitive disorder that is caused by mutations in rsk2 and associated with deficits in learning and memory. We found that the impairments in LTF and LTEE can be rescued by a computationally designed spaced training protocol, which was previously demonstrated to augment normal LTF and LTM.

Indexed as

AnimalsAplysiaCells, CulturedCyclic AMP Response Element-Binding ProteinMemory, Long-TermNeuronal PlasticityPhosphorylationRibosomal Protein S6 Kinases, 90-kDaSensory Receptor CellsSerotoninCyclic AMP Response Element-Binding ProteinRibosomal Protein S6 Kinases, 90-kDaSerotonin

Identifiers

PMID31953461
PMCPMC6969148
OpenAlexW2999287481

What OpenQuestion holds

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LicenceCC BY
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.