Evidence map›Paper›PMID 25511992›Full record

ArticleBrain research2015

Biochemical principles underlying the stable maintenance of LTP by the CaMKII/NMDAR complex.

John Lisman, Sridhar Raghavachari

Abstract read
In one paragraph

Article in Brain research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. CaMKII autophosphorylation is the only enzymatic event required for synaptic memory.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Review
  6. Synaptic memory and CaMKII.Physiological reviews · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Autoregulation of switching behavior by cellular compartment size.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Role of CaFrontiers in molecular neuroscience · 2022
    Review
  13. Article
  14. Article
  15. Structural Insights into the Regulation of CaCold Spring Harbor perspectives in biology · 2020
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
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.

John LismanBrandeis University, Department of Biology and Volen Center for Complex Systems, 415 South Street-MS008, Waltham, MA 02454, United States Minor Outlying Islands. Electronic address: Lisman@brandeis.edu.
Sridhar RaghavachariDepartment of Neurobiology, Duke University Medical Center, Durham, NC 27710, United States.
Duke Medical Center · US

Funding

CRCNS: Quantitative description of initial biochemical steps in LTPR01DA027807 · NIDA · BRANDEIS UNIVERSITY · PI LISMAN, JOHN E · 2009 to 2013
$1.6M
NIDA NIH HHS R01 DA027807NIDA NIH HHS R01DA027807
6 · The paper itself

Abstract

Memory involves the storage of information at synapses by an LTP-like process. This information storage is synapse specific and can endure for years despite the turnover of all synaptic proteins. There must, therefore, be special principles that underlie the stability of LTP. Recent experimental results suggest that LTP is maintained by the complex of CaMKII with the NMDAR. Here we consider the specifics of the CaMKII/NMDAR molecular switch, with the goal of understanding the biochemical principles that underlie stable information storage by synapses. Consideration of a variety of experimental results suggests that multiple principles are involved. One switch requirement is to prevent spontaneous transitions from the off to the on state. The highly cooperative nature of CaMKII autophosphorylation by Ca(2+) (Hill coefficient of 8) and the fact that formation of the CaMKII/NMDAR complex requires release of CaMKII from actin are mechanisms that stabilize the off state. The stability of the on state depends critically on intersubunit autophosphorylation, a process that restores any loss of pT286 due to phosphatase activity. Intersubunit autophosphorylation is also important in explaining why on state stability is not compromised by protein turnover. Recent evidence suggests that turnover occurs by subunit exchange. Thus, stability could be achieved if a newly inserted unphosphorylated subunit was autophosphorylated by a neighboring subunit. Based on other recent work, we posit a novel mechanism that enhances the stability of the on state by protection of pT286 from phosphatases. We posit that the binding of the NMNDAR to CaMKII forces pT286 into the catalytic site of a neighboring subunit, thereby protecting pT286 from phosphatases. A final principle concerns the role of structural changes. The binding of CaMKII to the NMDAR may act as a tag to organize the binding of further proteins that produce the synapse enlargement that underlies late LTP. We argue that these structural changes not only enhance transmission, but also enhance the stability of the CaMKII/NMDAR complex. Together, these principles provide a mechanistic framework for understanding how individual synapses produce stable information storage. This article is part of a Special Issue entitled SI: Brain and Memory.

Indexed as

Long-Term PotentiationAnimalsCalcium-Calmodulin-Dependent Protein Kinase Type 2Dendritic SpinesHippocampusHumansMemoryMultiprotein ComplexesPhosphorylationReceptors, N-Methyl-D-AspartateSynapsesCalcium-Calmodulin-Dependent Protein Kinase Type 2Multiprotein ComplexesReceptors, N-Methyl-D-AspartateKinaseLTPMemoryPhosphatase

Identifiers

PMID25511992
PMCPMC4466085
OpenAlexW2076971373

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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.