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Sci Rep. 2017 Dec 22;7(1):18073. doi: 10.1038/s41598-017-18287-w.

Integrated transcriptional analysis unveils the dynamics of cellular differentiation in the developing mouse hippocampus.

Author information

1
Radboud University, Department of Molecular Biology, Faculty of Science, 6500 HB, Nijmegen, The Netherlands. giovanni.iacono@cnag.crg.eu.
2
Department of Cognitive Neuroscience, Radboudumc, 6500 HB, Nijmegen, The Netherlands.
3
Department of Human Genetics, Radboudumc, 6500 HB, Nijmegen, The Netherlands.
4
Donders Institute for Brain, Cognition, and Behaviour, Centre for Neuroscience, 6525 AJ, Nijmegen, The Netherlands.
5
Institut Clinique de la Souris, Phenomin, Gie Cerbm, 1 rue Laurent Fries, 67404, Illkirch, France.
6
Radboud University, Department of Molecular Biology, Faculty of Science, 6500 HB, Nijmegen, The Netherlands. H.Stunnenberg@ncmls.ru.nl.

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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