ArticleScientific reports2017
Integrated transcriptional analysis unveils the dynamics of cellular differentiation in the developing mouse hippocampus.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Sleep Deprivation and Neuronal Hyperexcitation Share Transcriptomic Signatures.Neuropsychopharmacology reports · 2026Article
- Unraveling the complex role of MAPT-containing H1 and H2 haplotypes in neurodegenerative diseases.Molecular neurodegeneration · 2024Review
- RFX4 is an intrinsic factor for neuronal differentiation through induction of proneural genes POU3F2 and NEUROD1.Cellular and molecular life sciences : CMLS · 2024Article
- The Vulnerability of the Developing Brain: Analysis of Highly Expressed Genes in Infant C57BL/6 Mouse Hippocampus in Relation to Phenotypic Annotation Derived From Mutational Studies.Bioinformatics and biology insights · 2022Article
- Dyrk1a gene dosage in glutamatergic neurons has key effects in cognitive deficits observed in mouse models of MRD7 and Down syndrome.PLoS genetics · 2021Article
- Increased H3K9 methylation and impaired expression of Protocadherins are associated with the cognitive dysfunctions of the Kleefstra syndrome.Nucleic acids research · 2018Article
- Comparing Adult Hippocampal Neurogenesis Across Species: Translating Time to Predict the Tempo in Humans.Frontiers in neuroscience · 2018Article
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Authors and funding
7 authors.
Funding
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Abstract
The ability to assign expression patterns to the individual cell types that constitute a tissue is a major challenge. This especially applies to brain, given its plethora of different, functionally interconnected cell types. Here, we derived cell type-specific transcriptome signatures from existing single cell RNA data and integrated these signatures with a newly generated dataset of expression (bulk RNA-Seq) of the postnatal developing mouse hippocampus. This integrated analysis allowed us to provide a comprehensive and unbiased prediction of the differentiation drivers for 11 different hippocampal cell types and describe how the different cell types interact to support crucial developmental stages. Our results provide a reliable resource of predicted differentiation drivers and insights into the multifaceted aspects of the cells in hippocampus during development.
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