Department of Neurosurgery and The Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, United States.
Department of Neurobiology, Stanford University School of Medicine, Stanford, United States.
Elife. 2020 Nov 10;9:e58178. doi: 10.7554/eLife.58178.
Microdeletions and microduplications of the 16p11.2 chromosomal locus are associated with syndromic neurodevelopmental disorders and reciprocal physiological conditions such as macro/microcephaly and high/low body mass index. To facilitate cellular and molecular investigations into these phenotypes, 65 clones of human induced pluripotent stem cells (hiPSCs) were generated from 13 individuals with 16p11.2 copy number variations (CNVs). To ensure these cell lines were suitable for downstream mechanistic investigations, a customizable bioinformatic strategy for the detection of random integration and expression of reprogramming vectors was developed and leveraged towards identifying a subset of 'footprint'-free hiPSC clones. Transcriptomic profiling of cortical neural progenitor cells derived from these hiPSCs identified alterations in gene expression patterns which precede morphological abnormalities reported at later neurodevelopmental stages. Interpreting clinical information-available with the cell lines by request from the Simons Foundation Autism Research Initiative-with this transcriptional data revealed disruptions in gene programs related to both nervous system function and cellular metabolism. As demonstrated by these analyses, this publicly available resource has the potential to serve as a powerful medium for probing the etiology of developmental disorders associated with 16p11.2 CNVs.
16p11.2 染色体位置的微缺失和微重复与综合征性神经发育障碍以及头围大小/身体质量指数等相反的生理状况有关。为了便于对这些表型进行细胞和分子研究,从 13 名具有 16p11.2 拷贝数变异 (CNV) 的个体中生成了 65 个人类诱导多能干细胞 (hiPSC) 克隆。为了确保这些细胞系适合下游的机制研究,开发了一种可定制的生物信息学策略,用于检测重编程载体的随机整合和表达,并利用该策略鉴定了一组无“足迹”的 hiPSC 克隆。从这些 hiPSC 衍生的皮质神经祖细胞的转录组分析鉴定出在随后的神经发育阶段报告的形态异常之前的基因表达模式的改变。通过请求西蒙斯基金会自闭症研究倡议提供的细胞系的临床信息解释与这些转录数据相关的基因程序的破坏与神经系统功能和细胞代谢有关。正如这些分析所表明的,这个公开可用的资源有可能成为探索与 16p11.2 CNV 相关的发育障碍病因的有力工具。