Transcriptional network analysis on brains reveals a potential regulatory role of PPP1R3F in autism spectrum disorders
Year: 2018
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: This study aims at identifying master regulators of transcriptional networks in autism spectrum disorders (ASDs). RESULTS: With two sets of independent RNA-Seq data generated on cerebellum from patients with ASDs and control subjects (N = 39 and 45 for set 1, N = 24 and 38 for set 2, respectively), we carried out a network deconvolution of transcriptomic data, followed by virtual protein activity analysis. We identified PPP1R3F (Protein Phosphatase 1 Regulatory Subunit 3F) as a candidate master regulator affecting a large body of downstream genes that are associated with the disease phenotype. Pathway analysis on the identified targets of PPP1R3F in both datasets indicated alteration of endocytosis pathway. Despite a limited sample size, our study represents one of the first applications of network deconvolution approach to brain transcriptomic data to generate hypotheses that may be further validated by large-scale studies.
Source: BMC Research Notes
Authors: Abolfazl Doostparast Torshizi, Jubao Duan, Kai Wang
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,690
Awards: G1077491855, G3021430819, Long non-coding RNAs in gene regulatory networks underlying Autism, G3667159241, G3948623635, Genetic variants affect brain gene expression and risks of psychiatric disorders, G5653827732, G567174971, Establishing comprehensive and quantitative maps of DNA methylation in the develo, Decoding schizophrenia-From GWAS to functional regulatory variants, Functional Genomics of Human Brain Development, GABA Epigenomes in Autism, Epigenetic and Transcriptional Dysregulation in Autism Spectrum Disorder, G7292309756, G7527606222, G8360795, G9000179025
OpenAlex ID: W2949420868