Integrated four microarrays datasets in Neural differentiation from P19 stem cells to Neural cells

Published: 20 May 2022| Version 1 | DOI: 10.17632/m6k2mbz74x.1
marzieh moazeny, Ali Salari, Zohreh Hojati, Fariba Esmaeili


This data focuses on the major deconstruction of the transcriptional networks that regulate cell fate determination during neural differentiation under the influence of RA signalling. In our integrated datasets, we used four different microarray datasets containing a total of 15660 genes to determine which genes were differentially expressed during neural differentiation from pluripotent stem cells (P19), among the 17 samples from four different datasets that were integrated via meta-analysis approaches. Of the 15660 gene expression in our data integration, 443 DEGs are induced during neural differentiation. Upstream dissection of these 443 DEGs revealed a network of protein-protein interactions (PPIs) from TFs and kinases, as well as intermediate proteins between them, which are indicated by three (POU51, NANOG, and FOXO1) down-expression genes and one PAX6 up-expression gene playing roles in up-stream of these 443 induced DEGs during neural differentiation. The constructed network from the PPIs database revealed that four novel sub-networks play major roles in neuron differentiation in cluster 3, retinol metabolism in cluster 4, Rap1 signalling pathways in cluster 2, and axonogenesis in cluster 6.These four clusters have revealed very useful information about how neural characterization will be created from pluripotent stem cells. This data reveals a plethora of information on the neural differentiation process, including cell commitment and neural differentiation, and lays the groundwork for future research into particular pathways involving protein-protein interactions in neurogenesis.



University of Isfahan, Royan Institute for Stem Cell Biology and Technology


Molecular Neuroscience, Developmental Neuroscience, Transcriptomics, Neural Differentiation, Omics, Meta-Analysis, Developmental Neurology