Evidence map›Paper›PMID 24356491›Full record

ArticleRNA biology2013

RNA transport and long-term memory storage.

Sathyanarayanan V Puthanveettil

Abstract read
In one paragraph

Article in RNA biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. RNA and liquid-liquid phase separation.Non-coding RNA research · 2021
    Review
  7. Article
  8. Article
  9. Organizing the oocyte: RNA localization meets phase separation.Current topics in developmental biology · 2020
    Article
  10. Frontiers in genetics · 2019
    Review
  11. Review
  12. Amyotrophic lateral sclerosis-linked mutations increase the viscosity of liquid-like TDP-43 RNP granules in neurons.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  13. Article
  14. Article
  15. 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

1 author.

Sathyanarayanan V PuthanveettilDepartment of Neuroscience; The Scripps Research Institute Scripps Florida; Jupiter, FL USA.

Funding

Molecular Substrates of Translation at the SynapseR21MH096258 · NIMH · SCRIPPS FLORIDA · PI PUTHANVEETTIL, SATHYA · 2012 to 2013
$531k
NIMH NIH HHS 1 R21MH096258-01A1NIMH NIH HHS R21 MH096258
6 · The paper itself

Abstract

Several studies have shown that synthesis of new proteins at the synapse is a prerequisite for the storage of long-term memories. Relatively little is known about the availability of distinct mRNA populations for translation at specific synapses, the process that determines mRNA localization, and the temporal designations of localized mRNA translation during memory storage. Techniques such as synaptosome preparation and microdissection of distal neuronal processes of cultured neurons and dendritic layers in brain slices are general approaches used to identify localized RNAs. Exploration of the association of RNA-binding proteins to the axonal transport machinery has led to the development of a strategy to identify RNAs that are transported from the cell body to synapses by molecular motor kinesin. In this article, RNA localization at the synapse, as well as its mechanisms and significance in understanding long-term memory storage, are discussed.

Indexed as

Memory, Long-TermRNA TransportAnimalsDendritesKinesinsNeuronsRNA-Binding ProteinsSynapsesTranscriptomeKinesinsRNA-Binding Proteinskinesinlocal translationmemory storageRNAseqRNA transportsignaling networksynapses

Identifiers

PMID24356491
PMCPMC3917979

What OpenQuestion holds

Textmetadata
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.