SYNPLA, a method to identify synapses displaying plasticity after learning

Dore, K., Pao, Y., Soria Lopez, J., Aronson, S., Zhan, H., Ghosh, S., Merrill, S., Zador, A. M., Malinow, R., Kebschull, J. M. (January 2020) SYNPLA, a method to identify synapses displaying plasticity after learning. Proc Natl Acad Sci U S A, 117 (6). pp. 3214-3219. ISSN 0027-8424 (Public Dataset)

URL: https://www.ncbi.nlm.nih.gov/pubmed/31974314
DOI: 10.1073/pnas.1919911117

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.

Item Type: Paper
Subjects: organism description > animal behavior > learning
organs, tissues, organelles, cell types and functions > cell types and functions > cell functions > neural plasticity
organs, tissues, organelles, cell types and functions > sub-cellular tissues: types and functions > synapse
CSHL Authors:
Communities: CSHL labs > Zador lab
Watson School
Watson School > Publications
Depositing User: Adrian Gomez
Date: 23 January 2020
Date Deposited: 31 Jan 2020 18:09
Last Modified: 18 May 2020 14:53
PMCID: PMC7022215
Related URLs:
Dataset ID:
  • All data relevant to this study are included in this paper or in the SI: https://www.pnas.org/content/suppl/2020/01/23/1919911117.DCSupplemental
URI: https://repository.cshl.edu/id/eprint/38945

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