Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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A quantitative framework to evaluate modeling of cortical development by neural stem cells

ABSTRACT: In vitro neural stem cell models are widely used to model a wide range of neuropsychiatric conditions. However, how well such models correspond to in vivo brain has not been evaluated in an unbiased, comprehensive manner. We used transcriptomic analyses to compare in vitro systems to developing human fetal brain and observed strong conservation of in vivo gene expression and network architecture in differentiating primary human neural progenitor cells (phNPCs). Conserved modules are enriched in genes associated with ASD, supporting the utility of phNPCs for studying neuropsychiatric disease. We also developed and validated a machine learning approach called CoNTExT that identifies the developmental maturity and regional identity of in vitro models. We observed strong differences between in vitro models, including hiPSC-derived neural progenitors from multiple laboratories. This work provides a framework for evaluating in vitro systems and supports their value in studying the molecular mechanisms of human neurodevelopmental disease. In this GEO submission, we upload data from 5 lines of phNPCs as well as hiPSCs cultured in two different laboratories all at multiple differentiation time points. phNPCs: For each of 5 lines generated from 3 donors (15-16 PCW), two independent differentiation experiments each containing two replicates were performed and harvested at four time points (1, 4, 8, 12 wks PD; ~16 samples per line; 77 total samples). We confirmed RNA integrity by RIN score with the Agilent 2100 Bioanalyzer (mean +/- sd: 9.16 +/- 0.78). iPSC: Two hiPSC datasets were RNA profiled as part of this study. hiPSCs grown in the Kosik lab was derived from two independent, non-isogenic IPS lines: one derived from a patient carrying a mutant Tau variant G55R and one reference control. For each of these lines, two samples were harvested at each of 0, 1, 4, and 8 weeks PD (total n=16 samples). hiPSCs grown in the Gage lab were from six samples derived from 3 control lines at each of two time points (0 and 4 wk PD, total n=12 samples). Samples were randomized to microarray chip by all biological variables of interest (donor, line, passage, replicate number, differentiation week, plate date, and RIN) to control for potential batch effects.

ORGANISM(S): Homo sapiens

SUBMITTER: Jason Stein

PROVIDER: E-GEOD-57595 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Autism spectrum disorder (ASD) is an early onset neurodevelopmental disorder, which is characterized by disturbances of brain function and behavioral deficits in core areas of impaired reciprocal socialization, impairment in communication skills, and repetitive or restrictive interests and behaviors. ASD is known to have a significant genetic risk, but the underlying genetic variation can be attributed to hundreds of genes. The molecular and pathophysiologic basis of ASD remains elusive because of its genetic heterogeneity and complexity, its high comorbidity with other diseases, and the paucity of brain tissue for study. The invasive nature of collecting primary neuronal tissue from patients might be circumvented through reprogramming peripheral cells to induced pluripotent stem cells (iPSCs), which are able to generate live neurons carrying the genetic variants of disease. This breakthrough allows us to access the cellular and molecular phenotypes of patients with âintrinsic autismâ, that is patients without known genetic disorders or identifiable syndromes or malformations. To do this, we studied a relatively homogeneous patient population of boys with intrinsic autism by excluding patients with known genetic disease or recognizable phenotypes or syndromes, as well as those with profound mental retardation or primary seizure disorders. We generated iPSCs from patients with intrinsic autism, their unaffected male siblings and age-, and sex-matched unaffected controls. And these stem cells were subsequently differentiated into electrophysiologically active neurons. The expression profile for autistic and their unaffected siblings' iPSC-derived neurons were compared. A distinct expression profile was found between autism and sib control. The significantly differentially expressed genes (> 2-fold, FDR < 0.05) in autistic iPSC-derived neurons were significantly enriched for processes related to synaptic transmission, such as neuroactive ligand-receptor signaling and extracellular matrix interactions (FDR < 0.05), and were significantly enriched for genes previously associated with ASD (p < 0.05). Our findings suggest approaches such as iPSC-derived neurons will be an important method to obtain tissue for study that appropriately recapitulates the complex dynamics of an autistic neural cell. We generated induced pluripotent stem cells (iPSCs) from male patients with intrinsic autism, their unaffected male siblings, and age-, and sex-matched unaffected controls. And these stem cells were subsequently differentiated into electrophysiologically active neurons following 80 days of post-mitotic neural differentiation. These samples, including fibroblast, iPSC, iPSC-derived neural progenitors (NPC) and iPSC-derived neurons, were analyzed for the change of gene expression profile by whole genome microarray.

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A quantitative framework to evaluate modeling of cortical development by neural stem cells

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