ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex

被引:7
作者
Kageyama, Jorge [1 ]
Wollny, Damian [1 ]
Treutlein, Barbara [1 ,2 ,3 ]
Camp, J. Gray [1 ]
机构
[1] Max Planck Inst Evolutionary Anthropol, Leipzig, Germany
[2] Max Planck Inst Mol Cell Biol & Genet, Dresden, Germany
[3] Tech Univ Munich, Dept Biosci, Munich, Germany
来源
FRONTIERS IN NEUROSCIENCE | 2018年 / 12卷
关键词
single cell RNA sequencing; cortex development; organoids; corticogenesis; single-cell transcriptomics; CEREBRAL ORGANOIDS; STEM-CELLS; DIFFERENTIATION; TRAJECTORIES; DYNAMICS;
D O I
10.3389/fnins.2018.00315
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Single-cell mRNA sequencing (scRNA-seq) is a powerful method to identify and classify cell types and reconstruct differentiation trajectories within complex tissues, such as the developing human cortex. scRNA-seq data also enables the discovery of cell type-specific marker genes and genes that regulate developmental transitions. Here we provide a brief overview of how scRNA-seq has been shaping the study of human cortex development, and present ShinyCortex, a resource that brings together data from recent scRNA-seq studies of the developing cortex for further analysis. ShinyCortex is based in R and displays recently published scRNA-seq data from the human and mouse cortex in a comprehensible, dynamic and accessible way, suitable for data exploration by biologists.
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页数:4
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