Project description:Project represents an effort to modify chromatographic conditions for improved compound identification in untargeted metabolomics. Two different modes of chromatograph (HILIC and RPLC) and multiple run conditions (sample loading, gradient duration, iterative acquisition) were evaluated. All relevant data from different conditions are contained within the raw data archive file attached to this submission. Metadata associated with this Metabolomics Workbench submission reflects only the manually reviewed identifications obtained using modified HILIC conditions. See protocol file Mod_vs_Con_Chrom_IDs_Protocol.pdf for details.
Project description:We obtained RNA-seq data from whole body springtail Folsomia candida exposed to the neonicotinoid insecticide imidacloprid or control conditions for a total of 72 hours and sampled every 12 hours .
Project description:Dependent peptide searching is a method for detecting modified peptides using data from shotgun proteomics analyses. We have developed a set of tools for visualising the results of dependent-peptide searches (as performed in MaxQuant). The tools were developed using four sets of search results: two sets for a sample of N-ethylmaleimide-treated bovine serum albumin (BSA), and two sets for a corresponding control sample (replicates = different LC-MS/MS analyses). This submission includes our raw data, MaxQuant output files, and a *.fasta file containing the sequence of mature BSA. An accompanying *.csv file summarises the structure of the data set.
Project description:Personalized treatment for patients with advanced solid tumors critically depends on the deep characterization of tumor cells. These patients frequently develop malignant serous effusions (MSE). The value of MSE-based tumor cell characterization for guiding precision oncology is, however, currently unclear. Here, we present a comprehensive characterization of a pan-cancer cohort of 150 MSE samples at the cellular, molecular, and functional level. Our integrative analysis reveals dynamic cellular heterogeneity in MSE, and uncovers links between tumor driver mutations and ex vivo growth patterns. Strong concordance between genomic and transcriptional profiles of MSE and their corresponding solid tumors validates their use as a model system for solid tumor biology. We link baseline gene expression patterns to global ex vivo drug sensitivity, and demonstrate that drug-induced transcriptional changes in MSE are highly indicative of compound mode of action. Two case studies exemplify the utility of our approach in investigating acquired resistance to targeted therapy and identifying treatment options for relapsed solid tumors. In summary, our study provides a functional multi-omics view on a pan-cancer MSE cohort and underlines the utility of MSE-based precision oncology.
Project description:Personalized treatment for patients with advanced solid tumors critically depends on the deep characterization of tumor cells. These patients frequently develop malignant serous effusions (MSE). The value of MSE-based tumor cell characterization for guiding precision oncology is, however, currently unclear. Here, we present a comprehensive characterization of a pan-cancer cohort of 150 MSE samples at the cellular, molecular, and functional level. Our integrative analysis reveals dynamic cellular heterogeneity in MSE, and uncovers links between tumor driver mutations and ex vivo growth patterns. Strong concordance between genomic and transcriptional profiles of MSE and their corresponding solid tumors validates their use as a model system for solid tumor biology. We link baseline gene expression patterns to global ex vivo drug sensitivity, and demonstrate that drug-induced transcriptional changes in MSE are highly indicative of compound mode of action. Two case studies exemplify the utility of our approach in investigating acquired resistance to targeted therapy and identifying treatment options for relapsed solid tumors. In summary, our study provides a functional multi-omics view on a pan-cancer MSE cohort and underlines the utility of MSE-based precision oncology.
Project description:Drosophila midline(mid), encodes a T-box transcription factor that is required for cell fate specification and tissue morphogenesis during a series of developmental processes. However, little is known about the target of Mid. To identify the Mid regulated genes, we compared expression profiles of mRNA purified from wild-type and mid mutant embryos. Summary file is yw-mid.CHP.
Project description:A recent study showed that 54% of type 2 diabetes (T2D) patients have nonalcoholic fatty liver disease, which is a risk factor for aggravation diabetic symptoms. Previous studies suggested components in maple syrup alleviated liver injury and found polyphenols as food components to improve the symptoms and complications of diabetes. Therefore, we hypothesized that a polyphenol fraction in maple syrup improves the symptoms and complications of diabetes. To address the hypothesis, we investigated the effects of a polyphenol-rich maple syrup extract (MSE) on a T2D model mice. KK-Ay mice were fed a normal or 0.1% MSE-supplemented diet for 43 days. The results showed that the levels of serum alanine aminotransferase and aspartate aminotransferase were significantly reduced in mice that ingested MSE. Hepatic genes related to lipogenesis and lipolysis were down- and upregulated, respectively, in mice that ingested MSE. These results suggest that MSE intake alleviates liver injury and suppresses lipid accumulation in the livers of T2D mice.
Project description:Oxidative stress and celllular apoptosis of intestinal epithelial tissues relies on the environments from drinking different waters. In the rat intestinal epithelium, the toxic materials or antioxidant materials may affect the genes expression of oxidative stress and apoptosis through the oral intake ofa waters or agents. The up- or down-regulation in the antioxidant genes and apoptosis-related genes may represent the internal microenvironments in the intestine. Therefore, we used intestinal epithelium from rats drinking different waters to test the several genes expression. We used microarrays to detail the global programme of gene expression underlying damage or protection effect and identified distinct classes of up-regulated or down-regulated genes during drinking different waters test in this process.
Project description:LC-MSe data of 5 Artemisia species (whole plant body) extracts for analyzing their chemical diversity, including 7 QC samples (mixture of all the samples in same conc.)