Genomics

Dataset Information

0

Transcriptional targets of FOXP2 in human brain and lung


ABSTRACT: Mutations in FOXP2, a member of the forkhead family of transcription factors, are the only known cause of developmental speech and language disorders in humans. To date, there are no known targets of human FOXP2 in the nervous system. The identification of FOXP2 targets in the developing human brain therefore provides a unique tool with which to explore the development of human language and speech. Here we define FOXP2 targets in human basal ganglia (BG) and inferior frontal cortex (IFC) utilizing chromatin immunoprecipitation followed by microarray analysis (ChIP-chip) and validate the functional regulation of targets in vitro. ChIP-chip identified 285 FOXP2 targets in fetal human brain; significant overlap of targets in BG and IFC, indicate a core set of 34 transcriptional targets of FOXP2. We identified targets specific to the IFC or BG, not observed in lung, suggesting important regional and tissue differences in FOXP2 activity. Many target genes are known to play critical roles in specific aspects of CNS patterning or development, such as neurite outgrowth, as well as plasticity. Subsets of the FOXP2 transcriptional targets are either under positive selection in humans, or differentially expressed between human and chimpanzee brain. This is the first ChIP-chip study using human brain tissue, making the FOXP2 target genes identified in these studies important to understanding the pathways regulating speech and language in the developing human brain. These data provide the first insight into the functional network of genes directly regulated by FOXP2 in human brain and by evolutionary comparisons, highlight genes likely to be involved in the development of human higher order cognitive processes. Keywords: ChIP-chip

ORGANISM(S): Homo sapiens

PROVIDER: GSE8547 | GEO | 2007/12/31

SECONDARY ACCESSION(S): PRJNA101693

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2009-11-12 | GSE18142 | GEO
2009-03-02 | GSE13588 | GEO
2010-05-22 | E-GEOD-13588 | biostudies-arrayexpress
2019-05-07 | GSE111353 | GEO
2012-01-04 | GSE34819 | GEO
2012-01-04 | E-GEOD-34819 | biostudies-arrayexpress
2018-12-18 | GSE109596 | GEO
2021-07-07 | PXD026978 | Pride
2014-09-24 | E-GEOD-60659 | biostudies-arrayexpress
2014-02-20 | E-GEOD-52948 | biostudies-arrayexpress