Possible novel roles of poly(rC)-binding protein 1 in SH-SY5Y neurocytes: an analysis using a dynamic Bayesian network

• Published in: Neuroscience bulletin Vol. 28; no. 3; pp. 282 - 290
• Main Authors: Huo, Li-Rong, Liang, Jian-Tao, Zou, Jun-Hua, Wang, Lan-Ying, Li, Qi, Wang, Xiao-Min
• Format: Journal Article
• Language: English
• Published: Heidelberg Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences 01.06.2012
• Subjects: Anatomy; Anesthesiology; Bayes Theorem; Biomedical and Life Sciences; Biomedicine; Cell Line, Tumor; Gene Regulatory Networks; Heterogeneous-Nuclear Ribonucleoproteins - metabolism; Human Physiology; Humans; Neurology; Neurons - metabolism; Neurosciences; Original; Original Article; Pain Medicine; Signal Transduction - genetics; RNA interference; overexpression; Bayesian network; PCBP1
• ISSN: 1673-7067; 1995-8218
• DOI: 10.1007/s12264-012-1242-6

Objective Poly(rC)-binding protein 1 (PCBP1) belongs to the heterogeneous nuclear ribonucleoprotein family and participates in transcriptional and translational regulation. Previous work has identified transcripts targeted by both knockdown and overexpression of PCBP1 in SH-SY5Y neuroblastoma cells using a microarray or ProteomeLab™ protein fractionation 2-dimensions (PF-2D) and quadrupole time-of-flight mass spectrometer. The present study aimed to further determine whether these altered transcripts from major pathways (such as Wnt signaling, TGF-β signaling, cell cycling, and apoptosis) and two other genes, H2AFX and H2BFS (screened by PF-2D), have spatial relationships. Methods The genes were studied by qRT-PCR, and dynamic Bayesian network analysis was used to rebuild the coordination network of these transcripts. Results PCBP1 controlled the expression or activity of the seven transcripts. Moreover, PCBP1 indirectly regulated MAP2K2 , FOS , FST , TP53 and WNT7B through H2AFX or regulated these genes through SAT . In contrast, TP53 and WNT7B are regulated by other genes. Conclusion The seven transcripts and PCBP1 are closely associated in a spatial interaction network.