Evidence map›Paper›PMID 31974314›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

SYNPLA, a method to identify synapses displaying plasticity after learning.

Kim Dore, Yvonne Pao, Jose Soria Lopez, Sage Aronson, Huiqing Zhan, Sanchari Ghosh, Sabina Merrill, Anthony M Zador, Roberto Malinow, Justus M Kebschull

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. 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. Review
  2. Mapping GlycoRNAs on an Exosomal Surface.Journal of the American Chemical Society · 2026
    Article
  3. Article
  4. Article
  5. Article
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  7. Article
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  10. Unraveling the mysteries of dendritic spine dynamics: Five key principles shaping memory and cognition.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2023
    Article
  11. Article
  12. Article
  13. RNA NTrends in neurosciences · 2020
    Review
  14. Article
  15. Review
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.

Kim DoreCenter for Neural Circuits and Behavior, Department of Neuroscience and Section for Neurobiology, Division of Biology, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0001-6263-367X
Yvonne PaoCenter for Neural Circuits and Behavior, Department of Neuroscience and Section for Neurobiology, Division of Biology, University of California San Diego, La Jolla, CA 92093.
Jose Soria LopezCenter for Neural Circuits and Behavior, Department of Neuroscience and Section for Neurobiology, Division of Biology, University of California San Diego, La Jolla, CA 92093.
Sage AronsonCenter for Neural Circuits and Behavior, Department of Neuroscience and Section for Neurobiology, Division of Biology, University of California San Diego, La Jolla, CA 92093.
Huiqing ZhanCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724.
Sanchari GhoshCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724.
Sabina MerrillCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724.
Anthony M ZadorCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724.
Roberto MalinowCenter for Neural Circuits and Behavior, Department of Neuroscience and Section for Neurobiology, Division of Biology, University of California San Diego, La Jolla, CA 92093; rmalinow@ucsd.edu justus@kebschull.me.
Justus M KebschullCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724; rmalinow@ucsd.edu justus@kebschull.me.

Funding

U of Calif, San Diego Neuroscience Microscopy ImagingP30NS047101 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLEESON, JOSEPH G, ZHENG, BINHAI · 2003 to 2022
$9.0M
MECHANISMS OF SYNAPTIC LTP--SILENT SYNAPSESR01MH049159 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MALINOW, ROBERTO · 1997 to 2019
$4.7M
SYNPLA: A scaleable method for monitoring circuit-specific learning-induced changes in synaptic strengthU01MH109113 · NIMH · COLD SPRING HARBOR LABORATORY · PI MALINOW, ROBERTO, ZADOR, ANTHONY M · 2015 to 2017
$2.9M
High throughput mapping of neuronal circuitry using DNA sequencingRF1MH114132 · NIMH · COLD SPRING HARBOR LABORATORY · PI ZADOR, ANTHONY M · 2017 to 2017
$2.7M
High-throughput DNA sequencing method for probing the connectivity of neural circR01NS073129 · NINDS · COLD SPRING HARBOR LABORATORY · PI ZADOR, ANTHONY M · 2010 to 2014
$2.3M
CRCNS: Theory and experiment of neural circuit mapping by DNA sequencingR01DA036913 · NIDA · COLD SPRING HARBOR LABORATORY · PI KOULAKOV, ALEXEI, ZADOR, ANTHONY M · 2013 to 2017
$2.1M
NIDA NIH HHS R01 DA036913NIMH NIH HHS R01 MH049159NIMH NIH HHS RF1 MH114132NIMH NIH HHS U01 MH109113NINDS NIH HHS P30 NS047101NINDS NIH HHS R01 NS073129
6 · The paper itself

Abstract

Which neural circuits undergo synaptic changes when an animal learns? Although it is widely accepted that changes in synaptic strength underlie many forms of learning and memory, it remains challenging to connect changes in synaptic strength at specific neural pathways to specific behaviors and memories. Here we introduce SYNPLA (synaptic proximity ligation assay), a synapse-specific, high-throughput, and potentially brain-wide method capable of detecting circuit-specific learning-induced synaptic plasticity.

Indexed as

SynapsesAnimalsAuditory CortexCells, CulturedConditioning, PsychologicalGeniculate BodiesHigh-Throughput Screening AssaysHippocampusLearningMiceNerve Tissue ProteinsNeuronal PlasticityProtein Interaction MappingRatsNerve Tissue Proteinsdefense conditioningfear conditioningGluA1proximity ligation assaysynaptic potentiation

Identifiers

PMID31974314
PMCPMC7022215

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.