PLX198100

GSE79790: Mapping Gene Expression in Excitatory Neurons During Hippocampal Late-Phase Long-term Potentiation

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

The long-lasting changes in synaptic connectivity that underlie long-term memory require new RNA and protein synthesis for their persistence. To elucidate the temporal pattern of gene expression that gives rise to long-lasting, learning-related neuronal plasticity, we profiled RNAs in mouse hippocampal CA3-CA1 slices following induction of late phase long-term potentiation (LTP), analyzing differential expression (DE) specifically within pyramidal excitatory neurons by Translating Ribosome Affinity Purification RNA sequencing (TRAP-seq). We detected time-dependent changes in up- and down-regulated ribosome-associated mRNAs over the two hours following LTP induction, with minimal overlap of DE transcripts between time points. TRAP-seq revealed greater numbers and amplitudes of LTP-induced changes than RNA-seq of all cell types in the hippocampus. Transcripts that were DE by TRAP-seq but not RNA-seq were enriched in mRNAs encoding cytoskeletal and cell adhesion proteins, while RNA-seq identified DE in many non-neuronal mRNAs. Together our results highlight the importance of considering both the time course and the cell-type specificity of activity-dependent gene expression during memory formation. SOURCE: Patrick Chen (pbc9@ucla.edu) - Kelsey Martin UCLA

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team