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Mapping Gene Expression in Excitatory Neurons during Hippocampal Late-Phase Long-Term Potentiation

Overview of attention for article published in Frontiers in Molecular Neuroscience, February 2017
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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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2021.
All research outputs
#15,169,363
of 25,375,376 outputs
Outputs from Frontiers in Molecular Neuroscience
#1,542
of 3,329 outputs
Outputs of similar age
#170,223
of 317,737 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#53
of 103 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,329 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,737 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.