A single-cell atlas of the normal and malformed human brain vasculature

Cerebrovascular diseases are a leading cause of death and neurologic disability. Further understanding of disease mechanisms and therapeutic strategies requires a deeper knowledge of cerebrovascular cells in humans. We profiled transcriptomes of 181,388 cells to define a cell atlas of the adult human cerebrovasculature, including endothelial cell molecular signatures with arteriovenous segmentation and expanded perivascular cell diversity.

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An atlas of cortical arealization identifies dynamic molecular signatures

The human brain is subdivided into distinct anatomical structures, including the neocortex, which in turn encompasses dozens of distinct specialized cortical areas. Early morphogenetic gradients are known to establish early brain regions and cortical areas, but how early patterns result in finer and more discrete spatial differences remains poorly understood…

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Quantification of gene expression changes in mouse disease models using a high-throughput spatial omics platform

Batch effects due to technical variability are a major problem in single cell transcriptomics. Spatial methods are no exception – their low throughput requires high numbers of technical replicates, reducing the statistical power needed to quantify differential gene expression across experimental conditions…

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Spatially Resolved Cell Atlas of the Developing Human Brain Using an Integrated Spatial Omics Platform

To dissect cell-type composition and visualize cell clusters in space, we designed a panel of genes identified by dissociated single-cell transcriptomics according to their specificity and expression. Multiple regions of fresh frozen human fetal brain samples from gestational week 20 were sectioned to a glass coverslip…

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Validating scRNAseq Data from Human Fetal Brain Using Automated, Highly Multiplexed in situ mRNA Detection with Single-cell and Single-transcript Resolution

Single-cell RNA sequencing (scRNA-seq) has fundamentally expanded our understanding of tissue composition and heterogeneity. While this methodology enables unbiased and comprehensive identification of distinct cell types based on their transcriptomic profiles, it does not provide positional context in the tissue architecture, which is critical for understanding the interactions between cells and their native tissue microenvironment…

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DIGIT is a Conserved Long Noncoding RNA that Regulates GSC Expression to Control Definitive Endoderm Differentiation of Embryonic Stem Cells

Long noncoding RNAs (lncRNAs) exhibit diverse functions, including regulation of development. Here the authors combined genome-wide mapping of SMAD3 occupancy with expression analysis to identify lncRNAs induced by activin signaling during endoderm differentiation of human embryonic stem cells (hESCs)…

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