eLifeNeurosciencePeer-reviewed journal article
Transcriptional and epigenetic characterization of early striosomes identifies Foxf2 and Olig2 as factors required for development of striatal compartmentation and neuronal phenotypic differentiation
Maria‐Daniela CirnaruiD, Sicheng SongiD, Kizito‐Tshitoko TshilengeiD, Chuhyon CorwiniD, Justyna Mleczko, Carlos Galicia AguirreiD, Houda BenlhabibiD, Jaroslav M. BendliD, Pasha ApontesiD, John F. FullardiD, Jordi Creus‐MuncunilliD, Azadeh Reyahi, Ali Moussavi NikiD, Peter CarlssoniD, Panos RoussosiD, Sean David MooneyiD, Lisa EllerbyiD, Michelle E. EhrlichiD
Abstract
The basal ganglia, best known for processing information required for multiple aspects of movement, is also part of a network which regulates reward and cognition. The major output nucleus of the basal ganglia is the striatum, and its functions are dependent on neuronal compartmentation, including striosomes and matrix, which are selectively affected in disease. Striatal projection neurons are GABAergic medium spiny neurons (MSNs), all of which share basic molecular signatures but are subtyped by selective expression of receptors, neuropeptides, and other gene families. Neurogenesis of the striosome and matrix occurs in separate waves, but the factors regulating terminal neuronal differentiation following migration are largely unidentified. We performed RNA- and ATAC-seq on sorted murine striosome and matrix cells at postnatal day 3. Focusing on the striosomal compartment, we validated the localization and role of transcription factors and their regulator(s), previously not known to be associated with striatal development, including Irx1, Foxf2, Olig2 and Stat1/2. In addition, we validated the enhancer function of a striosome-specific open chromatin region located 15Kb downstream of the Olig2 gene. These data and data bases provide novel tools to dissect and manipulate the networks regulating MSN compartmentation and differentiation and thus provide new approaches to establishing MSN subtypes from human iPSCs for disease modeling and drug discovery.
- organism: mouse
- assay: bulk RNA-seq
- assay: ATAC-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
- Citations
- 19
- FWCI
- 1.26
- Field percentile
- top 22%
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