Project description:Proteomics and transcriptomics data of tomato fruits (Solanum lycopersicum L. var. Moneymaker) at 9 developmental stages were used to calculate with a mathematical model the rate constants of synthesis and degradation for over 1,000 proteins. Proteome and transcriptome were extracted from the pericarp tissue and analyzed using label-free LC-MS/MS (Orbitrap Q-Exactive) and RNA Sequencing (Illumina), respectively. Absolute quantification of transcriptome has been obtained by spiking-in internal standard before total-RNA extraction. Absolute quantification of the proteome has been approximated using the "Total Protein" approach. An OD equation defining the changes of protein content has been used to determine the synthesis and degradation rate constants (day -1). Almost 2,400 transcript-protein pairs were identified and the translation and degradation rate constants were determined for more than a thousand proteins. The model predicted median values of about 2 min for the translation and a lifetime of approximately 11 days. Proteins involved in protein synthesis had higher ks and kd values, indicating that the protein machinery is particularly flexible. None sequenced-based features were found that could be used to predict these rate constants.
Project description:To identify protein binding partners of endogenous RBMS1, it was immunoprecipicated in triplicate, vs. IgG control, from SW480 colon adenocarcinoma cells, and subjected to MS analysis on an Q-exactive plus Orbitrap mass spectrometer. Raw files 13, 14, and 15 correspond to biological replicate IPs of RBMS1, and Raw files 16, 17, and 18 correspond to biological replicate IPs of IgG control.
Project description:Background: Fangji Dihuang formulation (FJDHF) is a well-known Traditional Chinese Medicine (TCM) formula with a reported clinical therapeutic effect in the treatment of inflammatory skin diseases. However, there is a lack of pharmacological research on its anti-atopic dermatitis (AD) activity. Methods: To investigate the potential anti-AD activity of FJDHF, DNCB was used to induce AD-like skin inflammation in the back of mice. Following successful modeling, the mice were administered FJDHF orally. The extent of the inflammatory skin lesions was recorded at day 4, 7, 14 and 28. UHPLC-Q-Exactive Orbitrap MS was used to identify and match the compounds present in FJDHF with ITCM, TCMIP and TCMSID. In silico predictions of potential target proteins of the identified compounds were obtained from SwishTargetPrediction, ITCM and TargetNet databases. AD-related genes were identified from GSE32924 data set, and FJDHF anti-AD hub genes were identified by MCODE algorithm. ClueGo enrichment analysis was employed to identify the core pathway of FJDHF's anti-AD effect. To further investigate the anti-AD effect of FJDHF, single-cell RNA sequencing data set (GSE148196) from AD patients was analyzed to determine the target cells and signaling pathways of FJDHF in AD. Finally, rt-PCR, flow cytometry, and mouse back skin RNA sequencing were utilized to validate our findings. Results: FJDHF was found to be effective in improving the degree of the AD-like lesions in the mice. Network pharmacological analysis revealed the core pathway of FJDHF to be the IL-17 signaling pathway, which is interactively associated with cytokines. Single-cell RNA sequencing analysis suggested that FJDHF may play an anti-AD role by influencing dendritic cells. Flow cytometry and rt-PCR results showed that FJDHF can reduce the influence of AD sample of IL-4, IFN-γ and the expression of IL-17. The RNA sequencing of mouse back skin also confirmed our conclusion. Conclusion: FJDHF may inhibit DNCB-induced AD-like skin inflammation in mice by inhibiting the IL-17 signaling pathway. Thus, FJDHF can be considered as a potential therapeutic agent for AD.
Project description:E-Jiao is a traditional Chinese medicine. In this project, we used Q Exactive Orbitrap Plus to identify the peptides from E-Jiao. We also used the QE Plus to investigate the E-Jiao peptides in rat blood.
Project description:Colon cancer onset and progression is strongly associated with the presence, absence, or relative abundances of certain microbial taxa in the gastrointestinal tract. However, specific mechanisms affecting disease susceptibility related to complex bacterial mixtures are poorly understood. We used a multi-omics approach to determine how differences in the complex gut microbiome (GM) influence the metabolome and host transcriptome and ultimately affect susceptibility to adenoma development. Fecal samples collected from Pirc rats harboring two distinct complex GMs were analyzed using ultra-high performance liquid chromatography mass spectrometry (UHPLC-MS). We identified putative metabolite profiles that predicted future disease severity from samples collected prior to observable disease onset. Transcriptome analyses performed after disease onset on normal epithelium and tumor tissues suggests that the GM also alters the host transcriptome. Integrated pathway (IP) analyses of the metabolome and transcriptome based on putatively identified metabolic features indicate that bile acid biosynthesis was enriched in rats with high tumors (GM:F344) along with increased fatty acid metabolism and mucin biosynthesis. These data emphasize the utility of using untargeted metabolomics to identify metabolites for revealing signatures of susceptibility and resistance.
Project description:Eriocitrin, found in lemon fruit, has shown a wide range of biological properties. Herein, to evaluate the intestinal metabolic profile of eriocitrin in colon, the flavonoids in mice colon contents were identified by ultra performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI-MS/MS), and a total of 136 flavonoids were found, including eriocitrin and its six metabolites (eriodictyol, homoeriodictyol, hesperetin, eriodictyol-3'-O-glucoside, hesperetin-7-O-glucoside and eriodictyol-7-O-(6''-O-galloyl) glucoside). Mice colon contents were used for 16S rDNA gene sequencing and gas chromatography-mass (GC-MS). Resultu showed that eriocitrin significantly alters the beta diversity of the gut microbiota, the probiotics such as Lachnospiraceae_UCG_006 were significantly enriched, and the production of butyrate, valerate and hexanoate in the colon pool of short-chain fatty acids (SCFAs) were significant increased. The spearman's association analysis performed some intestinal bacteria may be involved in the metabolism of eriocitrin. Collectively, our results preliminarily suggesting the metabolism of eriocitrin in the gut, demonstrate alterations of eriocitrin on gut microbiota, which warrants further investigation to determine its potential use in food and biomedical applications.
Project description:To increase our knowledge of the effects of Fructo oligosaccharides (FOS) on the intestinal barrier function in rats, a controlled rat infection study was performed. Two groups of rats were adapted to a diet with or without FOS. mRNA was collected from the mucosa of the colon and changes in gene expression were assessed using an agilent rat whole genome microarray (G4131A Agilent Technologies). Results indicate that dietary FOS influences energy metabolism, which will most likely play a role in the effects of FOS on the intestinal barrier. Keywords: Dietary treatment, colon mucosa, Rat