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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