Project description:Plant sample from multi-vegetative propagation corms of G.elata f.glauca
| PRJNA1293525 | ENA
Project description:PIF4 transgenic plant materials of G.elata f.glauca
| PRJNA1293701 | ENA
Project description:SWEET14 transgenic plant materials of G.elata f.glauca
| PRJNA1293709 | ENA
Project description:Plant samples from G.elata f.glauca in changbai mountain with multi-vegetative propagation corms and few-vegetative propagation corms
Project description:Since estrogen is a major hormone involved in multiple gene expression pathways in the cell, we wanted to determine the corresponding changes in trigeminal ganglia transcriptome of the E2-treated rats. Adult ovariectomized female rats were subcutaneneously implanted with either 5% (physiological level comparable to diestrus; 15-20 pg/ml; one capsule), 20% (physiological level comparable to proestrus; 40-60 pg/ml; 2 capsules of 10%), 40% (supraphysiological level; 2 capsules of 20%) E2, or control (2 capsules of 100% cholesterol) capsules. One week after implantation, nocifensive behaviors were recorded and trigeminal ganglia tissue was extracted.
Project description:Engineering microbes with novel metabolic properties is a critical step for production of biofuels and biochemicals. Synthetic biology enables identification and engineering of metabolic pathways into microbes; however, knowledge of how to reroute cellular regulatory signals and metabolic flux remains lacking. Here we used network analysis of multi-omic data to dissect the mechanism of anaerobic xylose fermentation, a trait important for biochemical production from plant lignocellulose. We compared transcriptomic, proteomic, and phosphoproteomic differences across a series of strains evolved to ferment xylose under various conditions.
Project description:Engineering microbes with novel metabolic properties is a critical step for production of biofuels and biochemicals. Synthetic biology enables identification and engineering of metabolic pathways into microbes; however, knowledge of how to reroute cellular regulatory signals and metabolic flux remains lacking. Here we used network analysis of multi-omic data to dissect the mechanism of anaerobic xylose fermentation, a trait important for biochemical production from plant lignocellulose. We compared transcriptomic, proteomic, and phosphoproteomic differences across a series of strains evolved to ferment xylose under various conditions.
