ArticleGigaScience2017
Transcriptional mapping of the primary somatosensory cortex upon sensory deprivation.
Article in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Post-Critical Period Transcriptional and Physiological Adaptations of Primary Sensory Cortex after Sensory Loss.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Molecular states underlying neuronal cell type development and plasticity in the postnatal whisker cortex.PLoS biology · 2025Article
- Information transfer and recovery for the sense of touch.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- NeuroCarta: An automated and quantitative approach to mapping cellular networks in the mouse brain.Network neuroscience (Cambridge, Mass.) · 2025Article
- Molecular states underlying neuronal cell type development and plasticity in the whisker cortex.bioRxiv : the preprint server for biology · 2024Article
- Cortical Representation of Touch in Silico.Neuroinformatics · 2022Article
- Assessing the utility of Magneto to control neuronal excitability in the somatosensory cortex.Nature neuroscience · 2020Article
- Primary sensory map formations reflect unique needs and molecular cues specific to each sensory system.F1000Research · 2019Review
- A databank for intracellular electrophysiological mapping of the adult somatosensory cortex.GigaScience · 2018Article
- Erratum to: Transcriptional mapping of the primary somatosensory cortex upon sensory deprivation.GigaScience · 2018Article
- Transcriptional mapping of the primary somatosensory cortex upon sensory deprivation.GigaScience · 2017Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Experience-dependent plasticity (EDP) is essential for anatomical and functional maturation of sensory circuits during development. Although the principal synaptic and circuit mechanisms of EDP are increasingly well studied experimentally and computationally, its molecular mechanisms remain largely elusive. EDP can be readily studied in the rodent barrel cortex, where each "barrel column" preferentially represents deflections of its own principal whisker. Depriving select whiskers while sparing their neighbours introduces competition between barrel columns, ultimately leading to weakening of intracortical, translaminar (i.e., cortical layer (L)4-to-L2/3) feed-forward excitatory projections in the deprived columns. The same synapses are potentiated in the neighbouring spared columns. These experience-dependent alterations of synaptic strength are thought to underlie somatosensory map plasticity. We used RNA sequencing in this model system to uncover cortical-column and -layer specific changes on the transcriptome level that are induced by altered sensory experience. Column- and layer-specific barrel cortical tissues were collected from juvenile mice with all whiskers intact and mice that received 11-12 days of long whisker (C-row) deprivation before high-quality RNA was purified and sequenced. The current dataset entails an average of 50 million paired-end reads per sample, 75 base pairs in length. On average, 90.15% of reads could be uniquely mapped to the mm10 reference mouse genome. The current data reveal the transcriptional changes in gene expression in the barrel cortex upon altered sensory experience in juvenile mice and will help to molecularly map the mechanisms of cortical plasticity.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.