Rabbit anti-Human DDX47 polyclonal antibody

Previous studies have shown that amentoflavone (AF) elicits anti-inflammatory and neuroprotective effects. To further investigate the effects of AF on the microglia cell line BV-2, proteomic analysis was performed to screen potential key regulators. The top 5 canonical pathways associated with AF treatment were EIF2 signaling, regulation of eIF4 and p70s6k signaling, mTOR signaling, protein ubiquitination pathway and phagosome maturation. The top up-regulated genes were DOCK2, SEC23A, ME1, UGGT1 and STOM, while the most down-regulated molecules were IGF2R, ATP5O, DDX47, WBP11 and IKBIP. AF significantly decreased BV-2 cell proliferation. It induced cell cycle arrest at G2/M, increased CDK2, p27Kip1 and p53/p-p53, and decreased CDK1/CDC2 and cyclin B1. Cell apoptosis was induced, with increased levels of BAX, c-caspase-3 and ccaspase-9, and decreased levels of BCL-XL. Increased level of autophagosome induced by AF was observed, and increased Beclin-1 and decreased phosphorylation of PI3K and Erk1 were found as well. In conclusion, AF induces cell cycle arrest at G2/M, promotes apoptosis and autophagy in BV-2 cells, which may account for the anti-inflammatory effect of AF in epilepsy.

Genome-wide association studies (GWAS) provide a powerful approach for identifying quantitative trait loci without prior knowledge of location or function. To identify loci associated with wool production traits, we performed a genome-wide association study on a total of 765 Chinese Merino sheep (JunKen type) genotyped with 50 K single nucleotide polymorphisms (SNPs). In the present study, five wool production traits were examined: fiber diameter, fiber diameter coefficient of variation, fineness dispersion, staple length and crimp. We detected 28 genome-wide significant SNPs for fiber diameter, fiber diameter coefficient of variation, fineness dispersion, and crimp trait in the Chinese Merino sheep. About 43% of the significant SNP markers were located within known or predicted genes, including YWHAZ, KRTCAP3, TSPEAR, PIK3R4, KIF16B, PTPN3, GPRC5A, DDX47, TCF9, TPTE2, EPHA5 and NBEA genes. Our results not only confirm the results of previous reports, but also provide a suite of novel SNP markers and candidate genes associated with wool traits. Our findings will be useful for exploring the genetic control of wool traits in sheep.