Title |
Mapping Gene Expression in Excitatory Neurons during Hippocampal Late-Phase Long-Term Potentiation
|
---|---|
Published in |
Frontiers in Molecular Neuroscience, February 2017
|
DOI | 10.3389/fnmol.2017.00039 |
Pubmed ID | |
Authors |
Patrick B. Chen, Riki Kawaguchi, Charles Blum, Jennifer M. Achiro, Giovanni Coppola, Thomas J. O'Dell, Kelsey C. Martin |
Abstract |
The persistence of long-lasting changes in synaptic connectivity that underlie long-term memory require new RNA and protein synthesis. To elucidate the temporal pattern of gene expression that gives rise to long-lasting neuronal plasticity, we analyzed differentially-expressed (DE) RNAs in mouse hippocampal slices following induction of late phase long-term potentiation (L-LTP) specifically within pyramidal excitatory neurons using Translating Ribosome Affinity Purification RNA sequencing (TRAP-seq). We detected time-dependent changes in up- and down-regulated ribosome-associated mRNAs over 2 h following L-LTP induction, with minimal overlap of DE transcripts between time points. TRAP-seq revealed greater numbers of DE transcripts and magnitudes of LTP-induced changes than RNA-seq of all cell types in the hippocampus. Neuron-enriched transcripts had greater changes at the ribosome-loading level than the total RNA level, while RNA-seq identified many non-neuronal DE mRNAs. Our results highlight the importance of considering both time course and cell-type specificity in activity-dependent gene expression during memory formation. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 1% |
Unknown | 86 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 29% |
Researcher | 20 | 23% |
Student > Master | 7 | 8% |
Other | 4 | 5% |
Student > Doctoral Student | 4 | 5% |
Other | 11 | 13% |
Unknown | 16 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 32 | 37% |
Biochemistry, Genetics and Molecular Biology | 14 | 16% |
Agricultural and Biological Sciences | 13 | 15% |
Medicine and Dentistry | 5 | 6% |
Computer Science | 2 | 2% |
Other | 4 | 5% |
Unknown | 17 | 20% |