Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Single-cell analysis of Foxp1-driven mechanisms essential for striatal development

Ashley G. Anderson, Ashwinikumar Kulkarni, Matthew Harper, Genevieve Konopka
doi: https://doi.org/10.1101/611780
Ashley G. Anderson
1Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390-9111, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ashwinikumar Kulkarni
1Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390-9111, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matthew Harper
1Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390-9111, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Genevieve Konopka
1Department of Neuroscience, UT Southwestern Medical Center, Dallas, TX, 75390-9111, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Genevieve.Konopka@utsouthwestern.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

The striatum is a critical forebrain structure for integrating cognitive, sensory, and motor information from diverse brain regions into meaningful behavioral output. However, the transcriptional mechanisms that underlie striatal development and organization at single-cell resolution remain unknown. Here, we show that Foxp1, a transcription factor strongly linked to autism and intellectual disability, regulates organizational features of striatal circuitry in a cell-type-dependent fashion. Using single-cell RNA-sequencing, we examine the cellular diversity of the early postnatal striatum and find that cell-type-specific deletion of Foxp1 in striatal projection neurons alters the cellular composition and neurochemical architecture of the striatum. Importantly, using this approach, we identify the non-cell autonomous effects produced by disrupting Foxp1 in one cell-type and the molecular compensation that occurs in other populations. Finally, we 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. These data reveal cell-type-specific transcriptional mechanisms underlying distinct features of striatal circuitry and identify Foxp1 as a key regulator of striatal development.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted April 18, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Single-cell analysis of Foxp1-driven mechanisms essential for striatal development
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Single-cell analysis of Foxp1-driven mechanisms essential for striatal development
Ashley G. Anderson, Ashwinikumar Kulkarni, Matthew Harper, Genevieve Konopka
bioRxiv 611780; doi: https://doi.org/10.1101/611780
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Single-cell analysis of Foxp1-driven mechanisms essential for striatal development
Ashley G. Anderson, Ashwinikumar Kulkarni, Matthew Harper, Genevieve Konopka
bioRxiv 611780; doi: https://doi.org/10.1101/611780

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4684)
  • Biochemistry (10361)
  • Bioengineering (7677)
  • Bioinformatics (26337)
  • Biophysics (13530)
  • Cancer Biology (10687)
  • Cell Biology (15444)
  • Clinical Trials (138)
  • Developmental Biology (8498)
  • Ecology (12822)
  • Epidemiology (2067)
  • Evolutionary Biology (16865)
  • Genetics (11400)
  • Genomics (15480)
  • Immunology (10617)
  • Microbiology (25221)
  • Molecular Biology (10224)
  • Neuroscience (54478)
  • Paleontology (402)
  • Pathology (1668)
  • Pharmacology and Toxicology (2897)
  • Physiology (4344)
  • Plant Biology (9249)
  • Scientific Communication and Education (1586)
  • Synthetic Biology (2558)
  • Systems Biology (6781)
  • Zoology (1466)