ShinyCortex: Exploring single-cell transcriptome data from the developing human cortex

Jorge Kageyama, Damian Wollny, Barbara Treutlein, J. Gray Camp

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

9 Zitate (Scopus)

Abstract

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.

OriginalspracheEnglisch
Aufsatznummer315
FachzeitschriftFrontiers in Neuroscience
Jahrgang12
AusgabenummerMAY
DOIs
PublikationsstatusVeröffentlicht - 15 Mai 2018

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