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


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.

SUBMITTER: Iacono G 

PROVIDER: S-EPMC5741714 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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

Iacono Giovanni G   Benevento Marco M   Dubos Aline A   Herault Yann Y   van Bokhoven Hans H   Nadif Kasri Nael N   Stunnenberg Hendrik G HG  

Scientific reports 20171222 1


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 p  ...[more]

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