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Abstract
Schizophrenia is a severe neuropsychiatric disorder with a longstanding history of
neurobiological investigation. Although the underlying causal mechanisms remain unknown,
early neurodevelopmental events have been implicated in pathogenesis, initially by
epidemiological and circumstantial data but more recently by brain-specific molecular
and genetic findings. Notably, genomic research has recently uncovered discrete risk
variants and risk loci associated with schizophrenia, with the potential to elucidate
disease mechanisms. This Review revisits the neurodevelopmental model of schizophrenia
from a current genetics perspective, delineating the complex genetic basis of the
disorder and highlighting gene expression and epigenetic analyses of post-mortem cortical
tissue that suggest that early brain development mediates genetic risk associated
with schizophrenia. Future functional genomics investigations will accordingly need
to characterize schizophrenia risk loci in relevant neurodevelopmental models.
Single-cell RNA sequencing (scRNA-seq) offers new possibilities to address biological and medical questions. However, systematic comparisons of the performance of diverse scRNA-seq protocols are lacking. We generated data from 583 mouse embryonic stem cells to evaluate six prominent scRNA-seq methods: CEL-seq2, Drop-seq, MARS-seq, SCRB-seq, Smart-seq, and Smart-seq2. While Smart-seq2 detected the most genes per cell and across cells, CEL-seq2, Drop-seq, MARS-seq, and SCRB-seq quantified mRNA levels with less amplification noise due to the use of unique molecular identifiers (UMIs). Power simulations at different sequencing depths showed that Drop-seq is more cost-efficient for transcriptome quantification of large numbers of cells, while MARS-seq, SCRB-seq, and Smart-seq2 are more efficient when analyzing fewer cells. Our quantitative comparison offers the basis for an informed choice among six prominent scRNA-seq methods, and it provides a framework for benchmarking further improvements of scRNA-seq protocols.
During the development of the mammalian central nervous system, neural stem cells and their derivative progenitor cells generate neurons by asymmetric and symmetric divisions. The proliferation versus differentiation of these cells and the type of division are closely linked to their epithelial characteristics, notably, their apical-basal polarity and cell-cycle length. Here, we discuss how these features change during development from neuroepithelial to radial glial cells, and how this transition affects cell fate and neurogenesis.
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