RÉSUMÉ
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.
Sujet(s)
Tests de criblage à haut débit/méthodes , Apprentissage/physiologie , Plasticité neuronale/physiologie , Cartographie d'interactions entre protéines/méthodes , Synapses , Animaux , Cortex auditif/composition chimique , Cortex auditif/cytologie , Cortex auditif/métabolisme , Cellules cultivées , Conditionnement psychologique/physiologie , Corps géniculés/composition chimique , Corps géniculés/cytologie , Corps géniculés/métabolisme , Hippocampe/composition chimique , Hippocampe/cytologie , Hippocampe/métabolisme , Souris , Protéines de tissu nerveux/analyse , Protéines de tissu nerveux/composition chimique , Protéines de tissu nerveux/métabolisme , Rats , Synapses/composition chimique , Synapses/métabolismeRÉSUMÉ
The Eukaryotic Linear Motif (ELM) resource (http://elm.eu.org) is a manually curated database of short linear motifs (SLiMs). In this update, we present the latest additions to this resource, along with more improvements to the web interface. ELM 2016 contains more than 240 different motif classes with over 2700 experimentally validated instances, manually curated from more than 2400 scientific publications. In addition, more data have been made available as individually searchable pages and are downloadable in various formats.