Transcriptomics

Dataset Information

0

Gene expression profiling differentiates autism case-controls and phenotypic variants of autism spectrum disorders


ABSTRACT: Autism spectrum disorders (ASD) are neurodevelopmental disorders characterized by delayed/abnormal language development, deficits in social interaction, repetitive behaviors and restricted interests. The heterogeneity in clinical presentation of ASD, likely due to different etiologies, complicates genetic/biological analyses of these disorders. DNA microarray analyses were conducted on 116 lymphoblastoid cell lines (LCL) from individuals with idiopathic autism who are divided into 3 phenotypic subgroups according to severity scores from the commonly used Autism Diagnostic Interview-Revised questionnaire and age-matched, nonautistic controls. Statistical analyses of gene expression data from control LCL against that of LCL from ASD probands identify genes for which expression levels are either quantitatively or qualitatively associated with phenotypic severity. Comparison of the significant differentially expressed genes from each subgroup relative to the control group reveals differentially expressed genes unique to each subgroup as well as genes in common across subgroups. Among the findings unique to the most severely affected ASD group are genes that regulate circadian rhythm, which has been shown to have multiple effects on neurological as well as metabolic functions commonly dysregulated in autism. Among the genes common to all 3 subgroups of ASD are 5 novel genes which appear to associate with androgen sensitivity, which may underlie the strong 4:1 bias towards affected males.

ORGANISM(S): Homo sapiens

PROVIDER: GSE15402 | GEO | 2009/12/22

SECONDARY ACCESSION(S): PRJNA117075

REPOSITORIES: GEO

Similar Datasets

2010-05-17 | E-GEOD-15402 | biostudies-arrayexpress
2010-04-09 | E-GEOD-21086 | biostudies-arrayexpress
2010-04-09 | GSE21086 | GEO
2007-02-20 | GSE6754 | GEO
2020-12-21 | PXD016995 | Pride
2018-05-26 | GSE107012 | GEO
2011-05-01 | E-GEOD-28521 | biostudies-arrayexpress
2010-05-01 | GSE20533 | GEO
2017-12-28 | GSE93207 | GEO
2015-07-16 | GSE61476 | GEO