Project description:Gluten-free diet intervention: 11 individuals, 3 time points (T1: 1 week before intervention, T2: at the intervention; T3: 5 weeks after intervention. Fecal samples taken at each time point were sujbject of VLP enrichment and routine metagenomics sequencing
Project description:Data-independent acquisition of mouse liver with four treatments: normal chow diet and healthy (1-5), normal chow diet and inoculated with Salmonella (6-11), high fat diet and healthy (12-16), and high fat diet and inoculated with Salmonella (17-21).
Project description:It is well known that host-microbes and immunity interactions are influenced by dietary patterns, as well as daily environmental light-dark (LD) cycles that entrain circadian rhythms in the host. Emerging data has highlighted the importance of diet patterns and timing on the interaction among circadian rhythms, gut microbiome, and immunity, however, their impacts on LD cycles are less reported. Therefore, we aim to study how LD cycles regulate the homeostatic crosstalk between gut microbiome, hypothalamic and hepatic circadian clock oscillations and immunity. We hypothesized that different environmental LD cycles: (1) constant darkness, LD0/24; (2) short light, LD8/16; (3) normal LD cycle, LD12/12; (4) long light, LD16/8; and (5) constant light, LD24/0, may affect immunity and metabolism to varying degrees. Therefore, 240 mice were managed with chow diets (CD) and antibiotics treatments (ABX) under five different LD cycles for 42 days. The colonic (co) and cecum (ce) contents were obtained for studying their impacts on gut microbiome using 16S rRNA sequencing.
Project description:To investigate the effect of different levels of compost treatment on root gene expression of Atriplex lentiformis, we set up a greenhouse experiment with three treatments of 10% (TC10), 15 (TC15), and 20% (TC20) compost amended, metalliferrous mine tailings. Plants were harvested at ~11 weeks and root samples were flash frozen in liquid nitrogen for RNA-seq analysis. We then performed gene expression profiling analysis using data obtained from RNA-seq of 9 root samples from 3 different treatments.
Project description:Larvae were reared on standard diet until early third instar, at which time they were washed and transferred to standard diet lacking yeast. The animals remained on this diet until four days after emergence, when one group of adults was switched back to standard diet containing yeast (group Y) while another remained on the diet lacking yeast (group NY). Flies from both groups were killed every hour for the next twelve hours, creating 24 samples across the two treatments. In addition, four samples of flies were killed just before the start of the time course and used as baseline replicates for the no yeast (NY) and yeast (Y) treatments. Baseline replicates were temporally ordered as noted for change-point analysis. No yeast (NY) treatment samples at hours four and eight did not yield microarray data due to insufficient RNA. Total RNA was extracted from whole animals using Trizol (Invitrogen). Sample processing and microarray hybridization/scanning were performed at the Brown University Center for Genetics and Genomics according to Affymetrix protocol. Change-point Analysis Results Table: Results of running change-point analysis on dChip normalized data. Normalized data was transformed into yeast (Y):no yeast (NY) signal ratios, and change-point analysis was performed by GeneTrace on these ratios (see publication for more information on change-point analysis). Raw Data, Not Normalized Table: Raw data (not normalized). Image files were analyzed by Affymetrix Microarray Suite (MAS) 5.0 with no normalization and no scaling. Signal abundance measurements, present [P], marginal [M], or absent [A] calls, and detection p-values reported were all produced by MAS 5.0. Note that there is no data for no yeast (NY) treatment samples at hours 4 and 8 due to insufficient RNA yield. Keywords = insulin, diet, nutrition Keywords: other
Project description:To investigate the contribution of intratumor microbiome in cancer immunotherapy, we applied microbiome Eudoraea in combination with anti-PD-1 antibody in mouse model of B16F10 melanoma. We then performed gene expression profiling analysis using data obtained from RNA-seq of 4 different treatments .
Project description:To investigate the translatome in the pancreatic tumor inresponse to ketogenidc diet and the combination of ketogenic diet with an inhibitor targeting eIF4E phosphorylation. We generated pancreatic tumor xenograftmice model, treated mice with regular chow, ketogenic diet or ketogenic diet with eFT508, an inhibitor targeting eIF4E phosphorylation. Then we performed Poly-RNAseq on the tumor isolated from mice upon different treatments.