Expression data from human embryonic stem cells, progenitors, and differentiated neurons. Homo sapiens

Previous studies have reported that human pluripotent stem cells (hPSCs) generate dorsal forebrain, cortical-like neurons under default differentiation in the absence of patterning morphogens. Novel bioinformatic analyses of whole transcriptome data allow us to examine these cells' regional specification more comprehensively. Furthermore, these tools allow us to ask how well hPSNs mimic their endogenous counterparts during various stages of in vivo human brain development. Here we performed transcriptome profiling of hPSC-derived neurons (hPSNs) at multiple developmental timepoints during default patterning. Overall design: Default differentiated neural progenitors and neurons were selected at successive stages of early development for RNA extraction and hybridization on Affymetrix microarrays. We sought to characterize the genetic programs involved with generation of default patterned glutamatergic and GABAergic forebrain neurons.

已有研究证实，人类多能干细胞（human pluripotent stem cells，hPSCs）在无模式化形态发生因子参与的默认分化条件下，可生成背侧前脑、皮层样神经元。对全转录组数据开展的新型生物信息学分析，可使我们更全面地解析这类细胞的区域特化进程。此外，借助这些分析工具，我们能够探究人类多能干细胞衍生神经元（human pluripotent stem cell-derived neurons，hPSNs）在人体脑发育的不同阶段中，对内源性同源细胞的模拟契合度。

本研究针对默认模式化过程中多个发育时间点的hPSC衍生神经元（hPSNs）开展了转录组谱分析。

实验设计概述：
我们选取早期发育连续阶段的默认分化神经前体细胞与神经元，进行RNA提取，并在Affymetrix微阵列上完成杂交实验。本研究旨在解析参与默认模式化的谷氨酸能与γ-氨基丁酸能前脑神经元生成的遗传调控程序。