Bioinformatics and Gene Network Analyses of the Swine Mammary Gland Transcriptome during Late Gestation. (January 2013)

• Record Type: Journal Article
• Authors: Zhao, Wangsheng; Shahzad, Khuram; Jiang, Mingfeng; Graugnard, Daniel E.; Rodriguez-Zas, Sandra L.; Luo, Jun; Loor, Juan J.; Hurley, Walter L.
• Is Part Of: Bioinformatics and biology insights. Volume 7(2013)
• Publication Date: 2013-01
• Subjects: systems biology -- transcriptomics -- mammary gland -- sow -- dynamic impact approach; Bioinformatics -- Periodicals; Biology -- Data processing -- Periodicals; 570.285
• DOI: 10.4137/BBI.S12205
• Languages: English
• ISSNs: 1177-9322

Abstract

We used the newly-developed Dynamic Impact Approach (DIA) and gene network analysis to study the sow mammary transcriptome at 80, 100, and 110 days of pregnancy. A swine oligoarray with 13, 290 inserts was used for transcriptome profiling. An ANOVA with false discovery rate (FDR < 0.15) correction resulted in 1, 409 genes with a significant time effect across time comparisons. The DIA uncovered that Fatty acid biosynthesis, Interleukin-4 receptor binding, Galactose metabolism, and mTOR signaling were among the most-impacted pathways. IL-4 receptor binding, ABC transporters, cytokine-cytokine receptor interaction, and Jak-STAT signaling were markedly activated at 110 days compared with 80 and 100 days. Epigenetic and transcription factor regulatory mechanisms appear important in coordinating the final stages of mammary development during pregnancy. Network analysis revealed a crucial role for TP53, ARNT2, E2F4, and PPARG. The bioinformatics analyses revealed a number of pathways and functions that perform an irreplaceable role during late gestation to farrowing.