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A Single-Cell Roadmap of Lineage Bifurcation in Human ESC Models of Embryonic Brain Development.
- Source :
-
Cell stem cell [Cell Stem Cell] 2017 Jan 05; Vol. 20 (1), pp. 120-134. Date of Electronic Publication: 2016 Oct 27. - Publication Year :
- 2017
-
Abstract
- During human brain development, multiple signaling pathways generate diverse cell types with varied regional identities. Here, we integrate single-cell RNA sequencing and clonal analyses to reveal lineage trees and molecular signals underlying early forebrain and mid/hindbrain cell differentiation from human embryonic stem cells (hESCs). Clustering single-cell transcriptomic data identified 41 distinct populations of progenitor, neuronal, and non-neural cells across our differentiation time course. Comparisons with primary mouse and human gene expression data demonstrated rostral and caudal progenitor and neuronal identities from early brain development. Bayesian analyses inferred a unified cell-type lineage tree that bifurcates between cortical and mid/hindbrain cell types. Two methods of clonal analyses confirmed these findings and further revealed the importance of Wnt/β-catenin signaling in controlling this lineage decision. Together, these findings provide a rich transcriptome-based lineage map for studying human brain development and modeling developmental disorders.<br /> (Copyright © 2017 Elsevier Inc. All rights reserved.)
- Subjects :
- Animals
Brain metabolism
Cell Line
Clone Cells
Humans
Mice
Models, Biological
Neurons cytology
Neurons metabolism
Reproducibility of Results
Sequence Analysis, RNA
Transcription Factors metabolism
Transcriptome genetics
Wnt Signaling Pathway genetics
Brain embryology
Cell Lineage genetics
Embryonic Development genetics
Human Embryonic Stem Cells cytology
Single-Cell Analysis methods
Subjects
Details
- Language :
- English
- ISSN :
- 1875-9777
- Volume :
- 20
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Cell stem cell
- Publication Type :
- Academic Journal
- Accession number :
- 28094016
- Full Text :
- https://doi.org/10.1016/j.stem.2016.09.011