Short-read and long-read full-length transcriptome of mouse neural stem cells across neurodevelopmental stages

Author:

Ding Chaoqiong,Yan Xiang,Xu Mengying,Zhou Ran,Zhao Yuancun,Zhang Dan,Huang Zongyao,Pan Zhenzhong,Xiao Peng,Li HuifangORCID,Chen LuORCID,Wang YuanORCID

Abstract

AbstractDuring brain development, neural stem cells (NSCs) undergo multiple fate-switches to generate various neuronal subtypes and glial cells, exhibiting distinct transcriptomic profiles at different stages. However, full-length transcriptomic datasets of NSCs across different neurodevelopmental stages under similar experimental settings are lacking, which is essential for uncovering stage-specific transcriptional and post-transcriptional mechanisms underlying the fate commitment of NSCs. Here, we report the full-length transcriptome of mouse NSCs at five different stages during embryonic and postnatal development. We used fluorescent-activated cell sorting (FACS) to isolate CD133+Blbp+ NSCs from C57BL/6 transgenic mice that express enhanced green fluorescent protein (EGFP) under the control of a Blbp promoter. By integrating short- and long-read full-length RNA-seq, we created a transcriptomic dataset of gene and isoform expression profiles in NSCs at embryonic days 15.5, 17.5, and postnatal days 1.5, 8, and 60. This dataset provides a detailed characterization of full-length transcripts in NSCs at distinct developmental stages, which could be used as a resource for the neuroscience community to study NSC fate determination, neural development, and disease.

Funder

Ministry of Science and Technology of the People's Republic of China

Science Foundation for Excellent Youth Scholars of Sichuan University

National Natural Science Foundation of China

West China Hospital

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

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