2018
DOI: 10.1101/401885
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A single cell transcriptomic analysis of human neocortical development

Abstract: Defining the number, proportion, or lineage of distinct cell types in the developing human brain is an important goal of modern brain research. We defined single cell transcriptomic profiles for 40,000 cells at mid-gestation to identify cell types in the developing human neocortex. We define expression profiles corresponding to all known major cell types at this developmental period and identify multiple transcription factors and co-factors expressed in specific cell types, providing an unprecedented resource … Show more

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Cited by 9 publications
(15 citation statements)
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References 81 publications
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“…Two general approaches are used to determine cell-type or stage specificity. The first assigns genes implicated by risk variants directly to cell types based on transcriptomics (Polioudakis et al, 2018;Skene et al, 2018). The second partitions genetic risk across non-coding regions and compares the predicted activity of these regions across cell types and developmental stages, which to date have been primarily based on tissue-level open chromatin rather than single cells (de la .…”
Section: Tissue and Cellular Architecturementioning
confidence: 99%
See 2 more Smart Citations
“…Two general approaches are used to determine cell-type or stage specificity. The first assigns genes implicated by risk variants directly to cell types based on transcriptomics (Polioudakis et al, 2018;Skene et al, 2018). The second partitions genetic risk across non-coding regions and compares the predicted activity of these regions across cell types and developmental stages, which to date have been primarily based on tissue-level open chromatin rather than single cells (de la .…”
Section: Tissue and Cellular Architecturementioning
confidence: 99%
“…A recent study of single-nuclei RNA-seq from human fetal and adult brain has validated the enrichment of genes harboring large-effect de novo mutations associated with ASD in fetal glutamatergic neurons (Polioudakis et al, 2018). These detailed transcriptomic profiles provide nuance, especially for individual genes, identifying genes expressed broadly across neurons or with relative specificity for inhibitory neurons, neural progenitors, or non-neural cells (Polioudakis et al, 2018).…”
Section: Tissue and Cellular Architecturementioning
confidence: 99%
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“…We found 68% of overlapping eQTLs tag the same regulatory region, even if the top SNP differed (Figure 4E). To further examine the differences in eGenes at the different developmental time points, eGenes were annotated based on fetal cell type markers, identified through differential expression of single cell sequencing identified cell clusters (Methods; Polioudakis et al, 2018). We find many more fetal eGenes are in fact fetal cell type markers compared to eGenes that either overlap with adult, or are adult specific (Figure 4F), which is expected given the expected cellular composition of each epoch.…”
Section: Fetal Eqtl Are Distinct From Those In Adultmentioning
confidence: 78%
“…scRNAseq has been widely used to explore the heterogeneity of human cerebral cortex for several years [3][4][5][6] and neuron generation 7 . Additionally, brain cellular compositions under pathological conditions have also been studied using scRNA including PD, AD and ASD, revealing cell type and molecular alteration related to pathology [8][9][10][11] .…”
Section: Introductionmentioning
confidence: 99%