Genomics

Dataset Information

0

Patterns of gene expression and evolution in the human developing cerebral cortex


ABSTRACT: The cerebral cortex underwent a rapid expansion and complexification during recent primate evolution, but the underlying developmental mechanisms remain essentially unknown. In order to uncover genetic networks underlying the development of the human cerebral cortex, we profiled the transcriptome of human fetal cortical domains containing language areas of Broca and Wernicke, as well as associative areas. We thus identified hundreds of genes displaying differential expression between the two areas or between distinct temporal stages. A subset of these genes was further validated by qRTPCR and in situ hybridization, revealing novel patterns of area and layer-specific expression throughout the developing cortex at midgestation, a critical period of cortical patterning. Computational genomic analyses revealed that the proportion of genes located close to evolutionarily accelerated regions was far more abundant among the genes differentially expressed between the two cortical areas examined, but not among those differentially expressed between different stages of development. In silico screening enabled to identify accelerated regions displaying increased turnover of change in transcription factor binding sites, which were enriched among those closer to genes differentially expressed between cortical areas. Overall our work points to the identification of cortical genes that display a unique combination of patterns of evolution and expression, which may constitute an important part of the genetic framework underlying human-specific neural traits and diseases.

ORGANISM(S): Homo sapiens

PROVIDER: GSE21858 | GEO | 2011/06/01

SECONDARY ACCESSION(S): PRJNA127037

REPOSITORIES: GEO

Similar Datasets

2011-06-01 | E-GEOD-21858 | biostudies-arrayexpress
2013-04-26 | E-GEOD-40582 | biostudies-arrayexpress
2010-12-31 | E-TABM-1019 | biostudies-arrayexpress
2013-04-26 | GSE40582 | GEO
2019-12-03 | GSE138823 | GEO
| EGAS00001002798 | EGA
| phs000492 | dbGaP
2018-04-06 | E-MTAB-6232 | biostudies-arrayexpress
2023-02-01 | GSE219253 | GEO
2021-02-23 | PXD022371 | Pride