Anti-SELE Monoclonal antibody, clone Q3I4 [PE]

Corn is an important crop in northern Turkey, where it is used mainly as a source of energy for animal and food for human. Two-yr field experiments were conducted to evaluate the effects of plant density on the green herbage and dry matter yield (Experiment I); the grain yield and yield components (Experiment II) of hybrid corn. In both experiments, four hybrids, Sele, RX-770, RX-899, and RX-947 were grown at 51282, 60 154, 76 923, and 102 564 plants/ha. Regression equations on the mean green herbage and grain yields 4 each hybrid estimated optimum plant density of each hybrid. There was a significant difference among hybrids with respect to green herbage and dry matter yield. Maximum green herbage and dry matter yields were obtained at RX-947. Plant density significantly affected green matter and dry matter yields. The highest green herbage and dry matter yields were obtained at 102 564 plants/ha. Hybrid x plant density interactions were not significant for both traits. Differences among hybrids for grain yield and yield components were significant, and RX-899 gave grain yield more than other hybrids. It was observed that plant density had a significant effect on grain yield and yield components. There also was a significant hybrid x plant density interaction for grain yield. The highest grain yield for Sele, RX-770, RX-947 were obtained at 76 923 plants/ha, for RX-899 was obtained at 60 154 plants/ha.

Background: Human and animal studies have raised concerns that supplemental selenium can increase the risk of metabolic disorders, but underlying mechanisms are unclear. Objective: We used an integrated transcriptome and metabolome analysis of liver to test for functional pathway and network responses to supplemental selenium in mice. Methods: Male mice (8-wk-old, C57BL/6J) fed a standard diet (0.41 ppm Se) were given selenium (Na2SeO4, 20 mu mol/L) or vehicle (drinking water) for 16 wk. Livers were analyzed for selenium concentration, activity of selenoproteins, reduced glutathione (GSH) redox state, gene expression, and high-resolution metabolomics. Transcriptomic and nontargeted metabolomic data were analyzed with biostatistics, bioinformatics, pathway enrichment analysis, and combined transcriptome-metabolome-wide association study (TMWAS). Results: Mice supplemented with selenium had greater body mass gain from baseline to 16 wk (55% +/- 5%) compared with controls (40% +/- 3%) (P < 0.05); however, no difference was observed in liver selenium content, sele-noenzyme transcripts, or enzyme activity. Selenium was higher in the heart, kidney, and urine of mice supplemented with selenium. Gene enrichment analysis showed that supplemental selenium altered pathways of lipid and energy metabolism. Integrated transcriptome and metabolome network analysis showed 2 major gene-metabolite clusters, 1 centered on the transcript for the bidirectional glucose transporter 2 (Glut2) and the other centered on the transcripts for carnitine-palmitoyl transferase 2 (Cpt2) and acetyl-CoA acyltransferase (Acaa1). Pathway analysis showed that highly associated metabolites (P < 0.05) were enriched in fatty acid metabolism and bile acid biosynthesis, including acylcar-nitines, triglycerides and glycerophospholipids, long-chain acyl-coenzyme As, phosphatidylcholines, and sterols. TMWAS of body weight gain confirmed changes in the same pathways. Conclusions: Supplemental selenium in mice alters hepatic fatty acid and energy metabolism and causes increases in body mass. A lack of effect on hepatic selenium content suggests that signaling involves an extrahepatic mechanism.