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

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 regul...

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Detalles Bibliográficos
Autores principales: Kageyama, Jorge, Wollny, Damian, Treutlein, Barbara, Camp, J. Gray
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962798/
https://www.ncbi.nlm.nih.gov/pubmed/29867326
http://dx.doi.org/10.3389/fnins.2018.00315
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author Kageyama, Jorge
Wollny, Damian
Treutlein, Barbara
Camp, J. Gray
author_facet Kageyama, Jorge
Wollny, Damian
Treutlein, Barbara
Camp, J. Gray
author_sort Kageyama, Jorge
collection PubMed
description 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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spelling pubmed-59627982018-06-04 ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex Kageyama, Jorge Wollny, Damian Treutlein, Barbara Camp, J. Gray Front Neurosci Neuroscience 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. Frontiers Media S.A. 2018-05-15 /pmc/articles/PMC5962798/ /pubmed/29867326 http://dx.doi.org/10.3389/fnins.2018.00315 Text en Copyright © 2018 Kageyama, Wollny, Treutlein and Camp. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Kageyama, Jorge
Wollny, Damian
Treutlein, Barbara
Camp, J. Gray
ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex
title ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex
title_full ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex
title_fullStr ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex
title_full_unstemmed ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex
title_short ShinyCortex: Exploring Single-Cell Transcriptome Data From the Developing Human Cortex
title_sort shinycortex: exploring single-cell transcriptome data from the developing human cortex
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962798/
https://www.ncbi.nlm.nih.gov/pubmed/29867326
http://dx.doi.org/10.3389/fnins.2018.00315
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