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

The ability to assign expression patterns to individual cell types that constitute a tissue is a major challenge in RNA expression analysis. This especially applies to brain given the plethora of different cells coexisting in that tissue. 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 hippocampus. This integrated analysis allowed us to provide a comprehensive and unbiased prediction of the differentiation drivers for 10 different hippocampal cell types and describe how the different cell types interact to support crucial developmental stages. Our integrated analysis provides a reliable resource of predicted differentiation drivers and insight into the multifaceted aspects of the cells in hippocampus during development. Overall design: 21 RNA-seq samples. For the stages E15, P1, P7, P15, and P30, there are respectively 3, 4, 3, 3, and 6 RNA-seq biological replica (total 19). One RNA-seq sample has two technical replica.