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Single-Cell Analysis of Foxp1-Driven Mechanisms Essential for Striatal Development.
- Source :
-
Cell reports [Cell Rep] 2020 Mar 03; Vol. 30 (9), pp. 3051-3066.e7. - Publication Year :
- 2020
-
Abstract
- The striatum is a critical forebrain structure integrating cognitive, sensory, and motor information from diverse brain regions into meaningful behavioral output. However, the transcriptional mechanisms underlying striatal development at single-cell resolution remain unknown. Using single-cell RNA sequencing (RNA-seq), we examine the cellular diversity of the early postnatal striatum and show that Foxp1, a transcription factor strongly linked to autism and intellectual disability, regulates the cellular composition, neurochemical architecture, and connectivity of the striatum in a cell-type-dependent fashion. We also identify Foxp1-regulated target genes within distinct cell types and connect these molecular changes to functional and behavioral deficits relevant to phenotypes described in patients with FOXP1 loss-of-function mutations. Using this approach, we could also examine the non-cell-autonomous effects produced by disrupting one cell type and the molecular compensation that occurs in other populations. These data reveal the cell-type-specific transcriptional mechanisms regulated by Foxp1 that underlie distinct features of striatal circuitry.<br />Competing Interests: Declaration of Interests The authors declare no competing interests.<br /> (Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Animals
Animals, Newborn
Biomarkers metabolism
Forkhead Transcription Factors deficiency
Gene Deletion
Globus Pallidus metabolism
Mice, Inbred C57BL
Mice, Knockout
Neurons metabolism
Repressor Proteins deficiency
Signal Transduction
Up-Regulation
Corpus Striatum growth & development
Corpus Striatum metabolism
Forkhead Transcription Factors metabolism
Repressor Proteins metabolism
Single-Cell Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 2211-1247
- Volume :
- 30
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- Cell reports
- Publication Type :
- Academic Journal
- Accession number :
- 32130906
- Full Text :
- https://doi.org/10.1016/j.celrep.2020.02.030