Autor: |
Abolfazl Doostparast Torshizi, Jubao Duan, Kai Wang |
Jazyk: |
angličtina |
Rok vydání: |
2018 |
Předmět: |
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Zdroj: |
BMC Research Notes, Vol 11, Iss 1, Pp 1-7 (2018) |
Druh dokumentu: |
article |
ISSN: |
1756-0500 |
DOI: |
10.1186/s13104-018-3594-0 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
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