Preanalytical Impacts on Global Metabolite Profiling
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA477666 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Global proteomics datasets to study ash utilization by R. toruloides. PeakDecoder is a workflow for metabolite identification and accurate profiling in multidimensional LC-IM-MS-DIA measurements. It is available at https://github.com/EMSL-Computing/PeakDecoder
2023-02-03 | MSV000091202 | MassIVE
Project description:<p>The Biospecimen Pre-analytical Variables (BPV) Program is a National Cancer Institute-sponsored study to systematically assess the effects of pre-analytical factors on the molecular profile of biospecimens. A robust biospecimen collection infrastructure was established to prospectively collect biospecimens using rigorous standard operating procedures to control for most variables while introducing experimental conditions to study specific biospecimen handling issues, including the cold ischemic time (delay to formalin fixation), time in formalin, freezing methods, and storage temperatures and durations. RNA and DNA from biospecimens collected under these conditions was analyzed on multiple molecular platforms. The potential effects of these pre-analytical conditions on protein integrity and detection of metabolites were also examined. Data from this study will be used to develop evidence-based biospecimen standard operating procedures and best practices for fit-for-purpose collection, processing, and storage of biospecimens.</p> <p>The BPV Cohort is utilized in the following dbGaP substudies. To view genotypes, analysis, expression data, other molecular data, and derived variables collected in these substudies, please click on the following sub-studies below or in the "Substudies" box located on the right hand side of this top-level study page phs001304 BPV Cohort. The substudy links will be active once they are released by dbGaP.</p> <p> <ol> <li>Preanalytical Impacts on Global Metabolite Profiling - plasma (MassSpec by Metabolon) This study was to evaluate the impact of the storage temperature (s) (-80°C and LN2 vapor) and the length of storage on human plasma quality using LC-MS/MS (liquid-chromatography-mass spectrometry/mass spectrometry) based global metabolite profiling. The study includes 240 plasma samples collected from 40 donors.</li> <li>Investigate the effect of the delay to fixation on the proteome and phosphoproteome -FFPE (MassSpec by Caprion). The study is to do proteome and phosphoproteome analysis on Delay to fixation was carried out using FFPE tumor samples from colon and ovarian cancer patients comparing 2, 3, and 12hr delay to fixation to the 1hr time point. The study includes 100 samples 20 donors.</li> <li>Investigate the effect of storage conditions of tumor specimens on the proteome and phosphoproteome profiling- Frozen tissue and plasma (MassSpec by Caprion). The study was to evaluate the effects of storage conditions on tumor specimens. Plasma samples from 40 cancer patients stored at two different temperatures (-80°C and LN2) for a given period (0-2, 6-8, and 12-14 months) were evaluated. Frozen kidney tumor samples from 20 patients were compared for effects of different snap frozen (dry ice vs. LN2) and storage temperatures (-80°C and LN2). The study includes 100 tissue and 240 plasma samples from 60 donors.</li> <li>Preanalytical Impacts on Genomic Sequencing by Next Generation Sequencing (NGS) technology (mRNA/miRNA and WES by Expression Analysis). The goal of the study is to determine the effects of cold ischemic delay-to-fixation (4 time points) and formalin preservation (FFPE) on the nature and quality of genomic profiles using the matched freshly frozen sample as the gold standard, which including WES, RNAseq. The study includes 395 samples from 37 donors.</li> <li>Preanalytical Impacts on Copy Number Variation (CNV) Detection by aCGH technology (aCGH by Georgetown University). This study was to use aCGH to evaluate the effect of variation in cold ischemia time and time in formalin fixation on CNV in DNA extracted from kidney cancer specimens. The study includes 235 samples from 40 donors.</li> <li>Evaluation of frozen conditions on mRNA profiling by TaqMan assay (mRNA expression by Georgetown University). This study was to utilize gene expression profiling, using custom TaqMan arrays, to compare the molecular profiles of RNA from frozen tumor samples collected using two freezing methods (dry ice or LN2), two storage temperatures (-80°C or LN2 vapor), as well as Optimal Cutting Temperature (OCT) compound and non-OCT embedded. The study includes 100 samples from 20 donors.</li> <li>mRNA signature for stratification by cold ischemia time (mRNA expression by IBBL). The study was to determine the effects of cold ischemic time (delay-to-fixation) and formalin preservation (FFPE) on mRNA detection by Taqman assay using tumor tissue specimens from kidney, colon and ovarian cancer patients. There are160 samples from 40 donors.</li> </ol> </p> <p><b>The Biospecimen PV cohort is utilized in the following dbGaP individual studies.</b> To view molecular data, and derived variables collected in these individual studies, please click on the following individual studies below or in the "Sub-studies" box located on the right hand side of this top-level study page <a href="study.cgi?study_id=phs001304">phs001304</a> Biospecimen PV cohort. <ul> <li><a href="study.cgi?study_id=phs001634">phs001634</a> CIT mRNA</li> <li><a href="study.cgi?study_id=phs001635">phs001635</a> CNV aCGH</li> <li><a href="study.cgi?study_id=phs001636">phs001636</a> Fixation Delay</li> <li><a href="study.cgi?study_id=phs001637">phs001637</a> Global Metabolite Profiling</li> <li><a href="study.cgi?study_id=phs001638">phs001638</a> mRNA TaqMan</li> <li><a href="study.cgi?study_id=phs001639">phs001639</a> NGS</li> <li><a href="study.cgi?study_id=phs001640">phs001640</a> Tumor Storage</li> </ul> </p>
| phs001304 | dbGaP
Project description:Herein, we describe a method, dubbed PROMIS that allows simultaneous, global analysis of endogenous protein–small-molecule and protein-protein complexes. To this end a cell-free native lysate was subjected to size-exclusion chromatography followed by quantitative metabolomic and proteomic analysis. Applying this approach to an extract from Arabidopsis thaliana cell cultures, we could retrieve known protein-protein (PPI) and protein–metabolite (PMI) interactions, validating our strategy.
2018-06-06 | PXD009714 | Pride
Project description:An autonomous metabolomic workflow combining mass spectrometry analysis with tandem mass spectrometry data acquisition was designed to allow for simultaneous data processing and metabolite characterization. Although previously tandem mass spectrometry data have been generated on the fly, the experiments described herein combine this technology with the bioinformatic resources of XCMS and METLIN. As a result of this unique integration, we can analyze large profiling datasets and simultaneously obtain structural identifications. Validation of the workflow on bacterial samples allowed the profiling on the order of a thousand metabolite features with simultaneous tandem mass spectra data acquisition. The tandem mass spectrometry data acquisition enabled automatic search and matching against the METLIN tandem mass spectrometry database, shortening the current workflow from days to hours. Overall, the autonomous approach to untargeted metabolomics provides an efficient means of metabolomic profiling, and will ultimately allow the more rapid integration of comparative analyses, metabolite identification, and data analysis at a systems biology level.
| S-EPMC4303330 | biostudies-literature
Project description:To investigate the effects of 1C-metabolite cocktail on the muscle quadriceps and determine the changes in gene expression. Particularly looking at potential insights of what the metabolite intervention induces in vivo. We then performed gene expression profiling analysis using data obtained from RNA-seq of 5 biological replicates conditions including control and supplemented mice with 1C-MIM during 3 months
2024-01-22 | GSE229533 | GEO
Project description:ADMA is an endogenous metabolite, which is elevated in cancer patients. Previously, we observed that ADMA treatment attenuated serum starvation-induced apoptosis in LoVo cells. However, the biological functions of ADMA in tumor cells are largely unknown. In current study, we used microarray and untargeted metabolic profiling to investigate the global impacts of ADMA on LoVo cells.
2015-07-16 | GSE70976 | GEO
Project description:Global expression profiling of Emu-myc lymphomas
| PRJNA167838 | ENA
Project description:Temperature sensitive Mutant Proteome Profiling: a novel tool for the characterization of the global impacts of missense mutants on the proteome
| PRJNA599371 | ENA
Project description:The project aims to create dynamic maps of protein-protein-metabolite complexes in S. cerevisiae across growth phases using PROMIS (PROtein–Metabolite Interactions using Size separation). It is a biochemical, untargeted, proteome- and metabolome-wide method to study protein-protein and protein–metabolite complexes close to in vivo conditions. Approach involves using size exclusion chromatography (SEC) to separate complexes, followed by LC-MS-based proteomics and metabolomics analysis. This dataset was used for mashie learning approach: SLIMP, supervised learning of metabolite-protein interactions from multiple co-fractionation mass spectrometry datasets, to compute a global map of metabolite-protein interactions.
2022-10-25 | PXD026639 | Pride