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Transcriptional network analysis on brains reveals a potential regulatory role of PPP1R3F in autism spectrum disorders

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, resp...

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Detalles Bibliográficos
Autores principales: Doostparast Torshizi, Abolfazl, Duan, Jubao, Wang, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6050725/
https://www.ncbi.nlm.nih.gov/pubmed/30016992
http://dx.doi.org/10.1186/s13104-018-3594-0
Descripción
Sumario: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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-018-3594-0) contains supplementary material, which is available to authorized users.