ABSTRACT: Metabolic analysis on rats on the effect of circadian disruption. Data was generated on a Thermo Q Exactive and C18 RP UHPLC. Positive acquisition of LC-MS/MS
Project description:Metabolic study on the effect of sleep disruption on rats. Data was generated on a Thermo Q Exactive and C18 RP UHPLC. Positive polarity acquisition on LC-MS/MS.
Project description:Metabolic analysis on the effect of sleep and circadian disruption - Data was acquired using a Thermo Q Exactive and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS.
Project description:Metabolic study on the effect of sleep disruption on mice. Data was generated on a Thermo Q Exactive and C18 RP UHPLC. Positive polarity acquisition on LC-MS/MS.
Project description:Metabolomic study on the effect of sleep disruption on mice. Data was generated on a Thermo Q Exactive and a C18 RP UHPLC. Positive polarity acquisition of LC-MS/MS
Project description:Genome-wide mapping of gene-microbiome interaction: implication in behavior and effect on microbiome and metabolome. Data was generated on a Thermo Q Exactive and C18 RP UHPLC. Positive polarity acquisition on LC-MS/MS.
Project description:Serum of LCMV infected mice. Data was generated on a Thermo Q Exactive and C18 RP UHPLC. Positive polarity acquisition on LC-MS/MS.
Project description:The circadian rhythms influence the metabolic activity from molecular level to tissue, organ, and host level. Disruption of the circadian rhythms manifests to the host's health as metabolic syndromes, including obesity, diabetes, and elevated plasma glucose, eventually leading to cardiovascular diseases. Therefore, it is imperative to understand the mechanism behind the relationship between circadian rhythms and metabolism. To start answering this question, we propose a semimechanistic mathematical model to study the effect of circadian disruption on hepatic gluconeogenesis in humans. Our model takes the light-dark cycle and feeding-fasting cycle as two environmental inputs that entrain the metabolic activity in the liver. The model was validated by comparison with data from mice and rat experimental studies. Formal sensitivity and uncertainty analyses were conducted to elaborate on the driving forces for hepatic gluconeogenesis. Furthermore, simulating the impact of Clock gene knockout suggests that modification to the local pathways tied most closely to the feeding-fasting rhythms may be the most efficient way to restore the disrupted glucose metabolism in liver.
Project description:Investigation of small molecules detected in bacterial inhibitory zone. Data were generated on a Thermo Q Exactive and C18 RP UHPLC. Positive polarity acquisition on LC-MS/MS.
Project description:Samples of cotton leaves, fall armyworm midgut content and faeces. Data was generated on a Thermo Q Exactive and C18 RP UPLC. Negative polarity acquisition on LC-MS/MS
Project description:Samples of cotton leaves, fall armyworm midgut content and faeces. Data was generated on a Thermo Q Exactive and C18 RP UPLC. Positive polarity acquisition on LC-MS/MS