DeCoN: genome-wide analysis of in vivo transcriptional dynamics during pyramidal neuron fate selection in neocortex.
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IF: 18.688
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Cited by: 206
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Abstract

Neuronal development requires a complex choreography of transcriptional decisions to obtain specific cellular identities. Realizing the ultimate goal of identifying genome-wide signatures that define and drive specific neuronal fates has been hampered by enormous complexity in both time and space during development. Here, we have paired high-throughput purification of pyramidal neuron subclasses with deep profiling of spatiotemporal transcriptional dynamics during corticogenesis to resolve lineage choice decisions. We identified numerous features ranging from spatial and temporal usage of alternative mRNA isoforms and promoters to a host of mRNA genes modulated during fate specification. Notably, we uncovered numerous long noncoding RNAs with restricted temporal and cell-type-specific expression. To facilitate future exploration, we provide an interactive online database to enable multidimensional data mining and dissemination. This multifaceted study generates a powerful resource and informs understanding of the transcriptional regulation underlying pyramidal neuron diversity in the neocortex.

Keywords

LCM-seq
PROCEDURE
Gene Expression

MeSH terms

Animals
Base Sequence
Cell Differentiation
Corpus Callosum
Flow Cytometry
Gene Expression Profiling
Gene Expression Regulation, Developmental
Matrix Attachment Region Binding Proteins
Mice
Molecular Sequence Data
Motor Neurons
Neocortex
Neurogenesis
Neurons
Pyramidal Cells
Pyramidal Tracts
RNA, Long Noncoding
RNA, Messenger
Repressor Proteins
Transcription Factors
Transcriptome
Tumor Suppressor Proteins

Authors

Molyneaux, Bradley J
Goff, Loyal A
Brettler, Andrea C
Chen, Hsu-Hsin
Hrvatin, Siniša
Rinn, John L
Arlotta, Paola

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