TY - JOUR. T1 - Advances in the application of comprehensive two-dimensional gas chromatography in metabolomics. AU - Higgins Keppler, Emily A.. AU - Jenkins, Carrie L.. AU - Davis, Trenton J.. AU - Bean, Heather. N1 - Funding Information: The growth of the field of metabolomics is reflected by the recent investments by the National Institutes of Health (NIH) into the Common Fund Metabolomics program, which supports technology development, infrastructure, training, and an international repository for metabolomics data, the Metabolomics Workbench ( metabolomicsworkbench.org ) [59] . The goal is to generate publicly accessible metabolomics data, following the models of data sharing for genomics and transcriptomics via the GenBank and Gene Expression Omnibus (GEO) databases, respectively. Currently, depositing metabolomics data into public repositories is only encouraged under the NIH Data Sharing policies; however, it is possible that in the near future journal publishers may require data sharing ...
Cancer cells often have dysregulated metabolism, which is largely characterized by the Warburg effect-an increase in glycolytic activity at the expense of oxidative phosphorylation-and increased glutamine utilization. Modern metabolomics tools offer an efficient means to investigate metabolism in cancer cells. Currently, a number of protocols have been described for harvesting adherent cells for metabolomics analysis, but the techniques vary greatly and they lack specificity to particular cancer cell lines with diverse metabolic and structural features. Here we present an optimized method for untargeted metabolomics characterization of MDA-MB-231 triple negative breast cancer cells, which are commonly used to study metastatic breast cancer. We found that an approach that extracted all metabolites in a single step within the culture dish optimally detected both polar and non-polar metabolite classes with higher relative abundance than methods that involved removal of cells from the dish. We show that
Metabolomics is a comprehensive analysis of small molecules, or metabolites, in a system. Metabolomics is a hypothesis-generating experiment and offers an unbiased analysis of cell metabolism that can aid in the understanding of fundamental biological processes. Metabolomics is widely and broadly applicable in the biological sciences and has been used to study gene function, elucidate mechanisms of drug action, develop novel therapeutics, and to better understand disease states. This dissertation presents studies aimed at developing and determining the suitability of a mass spectrometry based untargeted metabolomics platform. Four chapters of original research are presented in this dissertation. The first chapter describes the development of a liquid chromatography-quadrupole-time-of-flight mass spectrometry metabolomics platform and details the various steps involved in a typical metabolomics experiment including metabolite extraction/sample preparation, metabolite separation and data ...
This is a prospective, multi-centered study to assess whether urine metabolomics can play a role in the screening of colorectal cancer (CRC). Urine samples will be collected from 1000 patients going through an established CRC screening program, and from a further 500 patients who already have a diagnosis of CRC. Using nuclear magnetic resonance (NMR) spectroscopy, the 1H NMR spectrum of urine samples will be analyzed for specific metabolites, and establish the metabolomic signature of colorectal cancer. The results from metabolomic urinalysis of this screening cohort will be compared with results from colonoscopy, histological descriptions, fecal occult blood testing (FOBT), and fecal immune testing (FIT) to assess the accuracy of urine metabolomics in identifying patients with polyps and malignancies. The urine metabolomic results from the colorectal cancer group will be correlated with operative, histological and clinical staging to define the role of urine metabolomics in assessing colorectal ...
As a service provider of microbial metabolomics, Microbiosci uses advanced instruments and the latest multivariate data analysis. Metabolomics aims to identify biomarkers, clarify the mode of action, and characterize products and processes. Microbioscis metabolomics solutions based on LC-MS, GC-MS and NMR fully meet the requirements of integrated metabolic profiling, sample throughput, compound identification, verification and quantification. In order to obtain metabolome data representing the physiological state of microorganisms, validated protocols and analyses are essential. The solutions provided by Mirobiosci are tailor-made for corresponding research purposes, combining innovative hardware with the versatility of data processing.. Microbiosci provides non-target metabolomics services. With its advanced facilities with experienced scientists, it will provide unparalleled expertise to assist researchers in non-target metabolomics analysis. In addition, Microbiosci can also provide a ...
As a service provider of microbial metabolomics, Microbiosci uses advanced instruments and the latest multivariate data analysis. Metabolomics aims to identify biomarkers, clarify the mode of action, and characterize products and processes. Microbioscis metabolomics solutions based on LC-MS, GC-MS and NMR fully meet the requirements of integrated metabolic profiling, sample throughput, compound identification, verification and quantification. In order to obtain metabolome data representing the physiological state of microorganisms, validated protocols and analyses are essential. The solutions provided by Mirobiosci are tailor-made for corresponding research purposes, combining innovative hardware with the versatility of data processing.. Microbiosci provides non-target metabolomics services. With its advanced facilities with experienced scientists, it will provide unparalleled expertise to assist researchers in non-target metabolomics analysis. In addition, Microbiosci can also provide a ...
The aim of this thesis was to develop concepts and methods to extract qualitative and quantitative information about metabolites from untargeted mass spectrometric data of biological samples. Several typical challenges in data handling were addressed that prevent a straightforward interpretation (data analysis) of the data acquired with different types of mass spectrometric-based metabolomics methods (GC-MS, LC-MS, CE-MS or DI-MS) methods. The critical parameters causing variation in quantitative results were identified and studied at different stages in the metabolomics workflow such as data acquisition, data pre-processing and data analysis. Different methods and concepts were developed to address these and to improve the quantitation of metabolites and the comparison between metabolite data in different samples of the same study measured at different moments or between studies. The methods developed focused on improved normalization, data pre-processing of untargeted analysis and data ...
IROA Technologies. Professor Chris Beecher is the Associate Director of the South-East Center for Integrated Metabolomics (SECIM) at the University of Florida, one of six NIH-funded Metabolomics Centers in the United States, and the Chief Science Officer for IROA Technologies (IROA). The IROA protocols are a core technology within SECIM. Professor Beecher had previously established the unbiased Metabolomics platforms at the University of Michigan (2007) in Ann Arbor, Michigan, and, prior to that, had developed the metabolomics platforms for Metabolon, a metabolomics-based company (2004), and Paradigm Genetics (1999) both in RTP, North Carolina.. Since 1999 Professor Beechers research focus has been on the continued development of the science of Metabolomics. As the newest of the Omics sciences, establishing methods for higher sensitivity, resolution and reproducibility, and algorithms for data handling, and data generation are areas of ongoing exploration. The Lab actively collaborates with ...
Liquid Chromatography Time-of-Flight Mass Spectrometry (LC-TOFMS) is an analytical platform that is widely used in the study of biological mixtures in the rapidly growing fields of proteomics and metabolomics. The development of statistical methods for the analysis of the very large data-sets that are typically produced in LC-TOFMS experiments is a very active area of research. However, the theoretical basis on which these methods are built is currently rather thin and as a result, inferences regarding the samples analysed are generally drawn in a somewhat qualitative fashion. This thesis concerns the development of a statistical formalism that can be used to describe and analyse the data produced in an LC-TOFMS experiment. This is done through the derivation of a number of probability distributions, each corresponding to a different level of approximation of the distribution of the empirically obtained data. Using such probabilistic models, statistically rigorous methods are developed and ...
About the Metabolomics Workbench: The National Institutes of Health (NIH) Common Fund Metabolomics Program was developed with the goal of increasing national capacity in metabolomics by supporting the development of next generation technologies, providing training and mentoring opportunities, increasing the inventory and availability of high quality reference standards, and promoting data sharing and collaboration. In support of this effort, the Metabolomics Programs Data Repository and Coordinating Center (DRCC), housed at the San Diego Supercomputer Center (SDSC), University of California, San Diego, has developed the Metabolomics Workbench. The Metabolomics Workbench will serve as a national and international repository for metabolomics data and metadata and will provide analysis tools and access to metabolite standards, protocols, tutorials, training, and more.
About the Metabolomics Workbench: The National Institutes of Health (NIH) Common Fund Metabolomics Program was developed with the goal of increasing national capacity in metabolomics by supporting the development of next generation technologies, providing training and mentoring opportunities, increasing the inventory and availability of high quality reference standards, and promoting data sharing and collaboration. In support of this effort, the Metabolomics Programs Data Repository and Coordinating Center (DRCC), housed at the San Diego Supercomputer Center (SDSC), University of California, San Diego, has developed the Metabolomics Workbench. The Metabolomics Workbench will serve as a national and international repository for metabolomics data and metadata and will provide analysis tools and access to metabolite standards, protocols, tutorials, training, and more.
Breast cancer accounts for the largest number of newly diagnosed cases in female cancer patients. Although mammography is a powerful screening tool, about 20% of breast cancer cases cannot be detected by this method. New diagnostic biomarkers for breast cancer are necessary. Here, we used a mass spectrometry-based quantitative metabolomics method to analyze plasma samples from 55 breast cancer patients and 25 healthy controls. A number of 30 patients and 20 age-matched healthy controls were used as a training dataset to establish a diagnostic model and to identify potential biomarkers. The remaining samples were used as a validation dataset to evaluate the predictive accuracy for the established model. Distinct separation was obtained from an orthogonal partial least squares-discriminant analysis (OPLS-DA) model with good prediction accuracy. Based on this analysis, 39 differentiating metabolites were identified, including significantly lower levels of lysophosphatidylcholines and higher levels of
Multiple sclerosis (MS) is associated with changes in the metabolome. Numerous studies employing varying metabolomics platforms have examined a range of biological material ranging from brain tissue to urine and demonstrated consistently alterations in multiple metabolic pathways in MS. We review not only the studies that describe the ability of metabolomics to differentiate MS patients from healthy controls and other neurological disease but also discuss the potential of metabolomics-based methods to build predictive models that are able to stage disease, monitor progression, and select the most appropriate therapy. The increasing number of impressive claims for the capacity of metabolomics to distinguish between different types of demyelinating disease suggests that the provision of such tests may be close at hand. Besides the ability to provide potential diagnostic and prognostic biomarkers, metabolomics also provides us with unique insights into the pathophysiology of the disease and helps identify
Metabolomics experiments identify metabolites whose abundance varies as the conditions under study change. Pathway enrichment tools help in the identification of key metabolic processes and in building a plausible biological explanation for these variations. Although several methods are available for pathway enrichment using experimental evidence, metabolomics does not yet have a comprehensive overview in a network layout at multiple molecular levels. We propose a novel pathway enrichment procedure for analysing summary metabolomics data based on sub-network analysis in a graph representation of a reference database. Relevant entries are extracted from the database according to statistical measures over a null diffusive process that accounts for network topology and pathway crosstalk. Entries are reported as a sub-pathway network, including not only pathways, but also modules, enzymes, reactions and possibly other compound candidates for further analyses. This provides a richer biological ...
R01ES022181. When performing untargeted metabolomics studies, which profile all metabolites in a sample, scientists often detect tens of thousands of signals. These signals were traditionally thought to indicate distinct metabolites. Using a new approach, NIEHS-funded researchers revealed that the actual number of unique metabolites in a typical metabolomics analysis may be close to one-tenth as large as previously thought.. Examining the metabolites in E. Coli, the research team looked for signals arising from contamination, artifacts, and something they called degenerate features - when one metabolite shows up as many different signals. They found thousands of previously unreported degenerate features, with some metabolites showing up as more than 150 signals. Removing these features reduced the number of unique analytes from approximately 25,000 to fewer than 2,961. After removing additional contaminants and other poorly resolved components from the data, they further reduced the number of ...
Abstract: Di-n-butyl phthalate (DBP) has been linked to the neural, reproductive and developmental toxicity. We present here a metabolomic study that characterized the metabolic variations associated with the DBP-induced teratogenesis in maternal and fetal mice. DBP at 50 and 300 mg/kg were administrated to pregnant C57 mice, via gastric intubation on gestation day 7-9, respectively. Maternal mice were euthanized on gestation day 16 and examined for fetal development and malformations. Metabolomic study of maternal serum, placenta and fetal brain tissues was performed using gas chromatography time-of-flight mass spectrometry combined with multivariate data analysis (MVDA). The results showed that a 50 mg/kg dose of DBP had no significant effect on fetal development and a 300 mg/kg dose caused embryo resorption and fetal malformations (primarily eye abnormalities and encephalocele). MVDA indicated that DBP at two doses gave rise to disruption of maternal and fetal metabolic profiles characterized ...
Neurochemical biomarkers are urgently sought in ALS. Metabolomic analysis of cerebrospinal fluid (CSF) using proton nuclear magnetic resonance ((1)H-NMR) spectroscopy is a highly sensitive method capable of revealing nervous system cellular pathology. The (1)H-NMR CSF metabolomic signature of ALS was sought in a longitudinal cohort. Six-monthly serial collection was performed in ALS patients across a range of clinical sub-types (n = 41) for up to two years, and in healthy controls at a single time-point (n = 14). A multivariate statistical approach, partial least squares discriminant analysis, was used to determine differences between the NMR spectra from patients and controls. Significantly predictive models were found using those patients with at least one years interval between recruitment and the second sample. Glucose, lactate, citric acid and, unexpectedly, ethanol were the discriminating metabolites elevated in ALS. It is concluded that (1)H-NMR captured the CSF metabolomic signature associated
The latest market report published by Credence Research, Inc. Metabolomics Market - Growth, Future Prospects, and Competitive Analysis, 2017-2025, the global metabolomics market was valued at US$ 621.1 Mn in 2016 and is expected to reach US$ 2,428.1 Mn by 2025, expanding at a CAGR of 15.3% from 2017 to 2025.. Market Insights. Metabolomics is the study of the chemical processes that involve small molecules known as metabolites, present within cells, tissues, biofluids or organisms. Metabolites are specific unique chemicals that are left behind in any cellular process, which can be studied for metabolite profiling. Such metabolites include amino acid, sugar, organic acids, and volatile metabolites, secondary metabolites include such as phenolic compound, alkaloids, etc.; and pigments such as anthocyanins, carotenoids, etc. Metabolomics study helps in integrating technology and the biological pathway, and understand the interaction between cellular-level interactions with the environment which ...
Metabolomics Market - Growth, Future Prospects and Competitive Analysis, 2017 - 2025, the global metabolomics market was valued at US$ 621.1 Mn in 2016, and is expected to reach US$ 2,428.1 Mn by 2025, expanding at a CAGR of 15.3% from 2017 to 2025.. Browse Full Report Click Here: http://www.acutemarketreports.com/report/metabolomics-market. Market Insights. Metabolomics is the study of chemical process that involves small molecules known as metabolites, present within cells, tissues, biofluids or organism. Metabolites are specific unique chemicals that are left behind in any cellular process, which can be studied for metabolite profiling. Such metabolites include amino acid, sugar, organic acids and volatile metabolites, secondary metabolites includes such as phenolic compound, alkaloids etc.; and pigments such as anthocyanins, carotenoids etc. Metabolomics study helps in integrating technology and the biological pathway, and understand the interaction between cellular level interactions with ...
Rapid and Highly Accurate Detection of Steryl Glycosides by Ultraperformance Liquid Chromatography−Quadrupole Time-of-Flight Mass Spectrometry (UPLC-Q-TOF-MS ...
TY - JOUR. T1 - Metabolomics reveals a link between homocysteine and lipid metabolism and leukocyte telomere length. T2 - the ENGAGE consortium. AU - van der Spek, Ashley. AU - Broer, Linda. AU - Draisma, Harmen H. M.. AU - Pool, Rene. AU - Albrecht, Eva. AU - Beekman, Marian. AU - Mangino, Massimo. AU - Raag, Mait. AU - Nyholt, Dale R.. AU - Dharuri, Harish K.. AU - Codd, Veryan. AU - Amin, Najaf. AU - de Geus, Eco J. C.. AU - Deelen, Joris. AU - Demirkan, Ayse. AU - Yet, Idil. AU - Fischer, Krista. AU - Haller, Toomas. AU - Henders, Anjali K.. AU - Isaacs, Aaron. AU - Medland, Sarah E.. AU - Montgomery, Grant W.. AU - Mooijaart, Simon P.. AU - Strauch, Konstantin. AU - Suchiman, H. Eka D.. AU - Vaarhorst, Anika A. M.. AU - van Heemst, Diana. AU - Wang-Sattler, Rui. AU - Whitfield, John B.. AU - Willemsen, Gonneke. AU - Wright, Margaret J.. AU - Martin, Nicholas G.. AU - Samani, Nilesh J.. AU - Metspalu, Andres. AU - Slagboom, P. Eline. AU - Spector, Tim D.. AU - Boomsma, Dorret. AU - van ...
Global Metabolomics Market: Overview. The metabolites exist in an organism, cell, or tissue; the study related to it is referred as metabolomics. In order to understand the complete set of metabolites in a given biological system processes such as quantification, profiling, interpretation, and identification are involved. This latest field of science is gaining much popularity as it provides the complete outlook of the organelles, cells, tissues, organs, and whole organisms phenotype when compared to the protein profile, RNA, or DNA.. Request Free Sample Report @ https://www.zionmarketresearch.com/sample/metabolomics-market. Global Metabolomics Market: Segmentation. The metabolomics market is globally segmented into product and service, application, and indication. On the basis of product and service, the global market is segregated into metabolomic instruments and metabolomic bioinformatics tools and services. Further, the metabolomic instruments segment is sub-segmented into separation ...
The ASMS Fall Workshop on Metabolomics Informatics, organized by Erin Baker (North Carolina State University) and Gary Patti (Washington University at St. Louis), was held on November 29 - 30, 2018 in San Francisco, CA. Approximately 109 attendees listened to presentations by leading experts in the field of metabolomics on the state of data processing. Metabolomics is in high demand among technological specialists as well as biologists and clinicians who see the power of its application. However, although many researchers now have access to metabolomic data, the challenge of interpreting the results has created major obstacles that can prevent the full potential of metabolomics from being realized. The goal of the Workshop was to make attendees aware of the state-of-the-art informatic resources, and also to educate investigators on proper methods for reliably interpreting datasets. Eleven different scientists gave a total of 16 presentations on topics ranging from peak detection to database ...
Metabolomics has become increasingly popular in the study of disease phenotypes and molecular pathophysiology. One branch of metabolomics that encompasses the high-throughput screening of cellular metabolism is metabolic profiling. In the present study, the metabolic profiles of different tumour cells from colorectal carcinoma and breast adenocarcinoma were exposed to hypoxic and normoxic conditions and these have been compared to reveal the potential metabolic effects of hypoxia on the biochemistry of the tumour cells; this may contribute to their survival in oxygen compromised environments. In an attempt to analyse the complex interactions between metabolites beyond routine univariate and multivariate data analysis methods, correlation analysis has been integrated with a human metabolic reconstruction to reveal connections between pathways that are associated with normoxic or hypoxic oxygen environments. Correlation analysis has revealed statistically significant connections between metabolites, where
AIMS: This study compared serum metabolites of demented patients (Alzheimers disease and vascular dementia) and controls, and explored serum metabolite profiles of nondemented individuals 5 years preceding the diagnosis.. METHODS: Cognitively healthy participants were followed up for 5-20 years. Cognitive assessment, serum sampling, and diagnosis were completed every 5 years. Multivariate analyses were conducted on the metabolite profiles generated by gas chromatography/time-of-flight mass spectrometry.. RESULTS: A significant group separation was found between demented patients and controls, and between incident cases and controls. Metabolites that contributed in both analyses were 3,4-dihydroxybutanoic acid, docosapentaenoic acid, and uric acid.. CONCLUSIONS: Serum metabolite profiles are altered in demented patients, and detectable up to 5 years preceding the diagnosis. Blood sampling can make an important contribution to the early prediction of conversion to dementia.. ...
Metabolomics, the scientific study of small molecules produced from metabolism, is a rapidly expanding area of research that enables scientists to better understand the physiological state of an organism and its response to different types of stimuli such as nutrients and pollutants. Preliminary research suggests that metabolomics holds promise to advance understanding of the exposome--all of the environmental compounds an individual is exposed to from conception to death. For this reason, the National Academies of Sciences, Engineering, and Medicine held a workshop to examine the potential for using metabolomics to characterize human environmental exposures and the exposome. Proofs-of-concept were discussed in two case studies on the cause of human Eosinophilic esophagitis (a chronic immune disease) and the effect of toxic pollutants on pregnancy in rats. Key workshop themes included technical capabilities and limitations to collect metabolomics data and the implications of this new source of ...
The SIPOMICS (SIgnal Processing for OMIC Sciences) research group from the Rovira i Virgili University is seeking candidates to apply for a scholarship to obtain the PhD at our research facilities located in Tarragona (Catalonia, Spain).. The position is intended for candidates with a Signal Processing, Data Analysis, Biostatistics and/or a Bioinformatics background. The thesis to be developed will focus on data processing for Omics Sciences, mainly for Metabolomics studies where Nuclear Magnetic Resonance (NMR) and GC/MS data will need to be conditioned, processed, and correlated with clinical biomarkers in order to turn raw measurement data into useful clinical information.. Candidates need to have a bachelor and a master degree to be eligible for the position.. SIPOMICS is a multidisciplinary research group formed by chemists, bio-chemists, computer and telecommunication engineers that has a direct relationship with a metabolomics platform structure (www.metabolomicsplatform.com) that ...
Opium poppy (Papaver somniferum) produces a diverse array of bioactive benzylisoquinoline alkaloids and has emerged as a model system to study plant alkaloid metabolism. The plant is cultivated as the only commercial source of the narcotic analgesics morphine and codeine, but also produces many other alkaloids including the antimicrobial agent sanguinarine. Modulations in plant secondary metabolism as a result of environmental perturbations are often associated with the altered regulation of other metabolic pathways. As a key component of our functional genomics platform for opium poppy we have used proton nuclear magnetic resonance (1H NMR) metabolomics to investigate the interplay between primary and secondary metabolism in cultured opium poppy cells treated with a fungal elicitor. Metabolite fingerprinting and compound-specific profiling showed the extensive reprogramming of primary metabolic pathways in association with the induction of alkaloid biosynthesis in response to elicitor treatment. Using
Methods Patients with sterile brain injury requiring intubation and ventilation on the intensive care unit were eligible for inclusion. Serial clinical and breath data were obtained three times a week, from admission up to a maximum of 10 days. Bronchial lavage for semiquantitative culture was collected immediately prior to breath sampling. Breath samples were collected in triplicate for off-line analysis by thermal-desorption/gas chromatography/time-of-flight mass spectrometry. Breath data were recorded as retention time/mass ion pairs, and analysed (pathogen present vs absent) by ANOVA-mean centre principal component analysis.. ...
Author Summary Urinary tract infections (UTIs) are among the most common bacterial infections treated by physicians worldwide. Although symptoms of acute infection are often resolved with a course of antibiotics, the same bacterial strain often causes subsequent bouts of symptomatic infection. Escherichia coli are the most common bacteria causing UTI and the infecting strains are widely believed to originate from the gastrointestinal tract where multiple E. coli strains reside. Here, we use a novel mass spectrometric technique in a population of patients with recurrent UTI to identify how strains that cause UTI differ from other strains that were present in the gastrointestinal tract at the same time. We found that urinary E. coli strains preferentially expressed two small molecules called yersiniabactin and salmochelin. These molecules are called siderophores, meaning they are able to scavenge iron to support bacterial survival and growth. Synthesis and transport of these small molecules requires a
To date, no targeted therapies are available to treat triple negative breast cancer (TNBC), while other breast cancer subtypes are responsive to current therapeutic treatment. Metabolomics was conducted to reveal differences in two hormone receptor-negative TNBC cell lines and two hormone receptor-positive Luminal A cell lines. Studies were conducted in the presence and
Metabolic variations occur during normal pregnancy to provide the growing fetus with a supply of nutrients required for its development and to ensure the health of the woman during gestation. Mass spectrometry-based metabolomics was employed to study the metabolic phenotype variations in the maternal plasma that are induced by pregnancy in each of its three trimesters. Nontargeted metabolomics analysis showed that pregnancy significantly altered the profile of metabolites in maternal plasma. The levels of six metabolites were found to change significantly throughout pregnancy, with related metabolic pathway variations observed in biopterin metabolism, phospholipid metabolism, amino acid derivatives, and fatty acid oxidation. In particular, there was a pronounced elevation of dihydrobiopterin (BH2), a compound produced in the synthesis of dopa, dopamine, norepinephrine, and epinephrine, in the second trimester, whereas it was markedly decreased in the third trimester. The turnover of BH2 and tryptophan
TY - JOUR. T1 - Metabolomics approach to reduce the Crabtree effect in continuous culture of Saccharomyces cerevisiae. AU - Imura, Makoto. AU - Iwakiri, Ryo. AU - Bamba, Takeshi. AU - Fukusaki, Eiichiro. PY - 2018/8/1. Y1 - 2018/8/1. N2 - The budding yeast Saccharomyces cerevisiae is an important microorganism for fermentation and the food industry. However, during production, S. cerevisiae commonly uses the ethanol fermentation pathway for glucose utilization if excess sugar is present, even in the presence of sufficient oxygen levels. This aerobic ethanol fermentation, referred to as the Crabtree effect, is one of the most significant reasons for low cell yield. To weaken the Crabtree effect in fed-batch and continuous culture, sugar flow should be limited. In addition, in continuous culture, the dilution rate must be reduced to avoid washing out cells. However, under such conditions, production speed might be sacrificed. It is difficult to solve this problem with the tradeoff between cell ...
Gas chromatography mass spectrometry (GC/MS)-based fecal metabonomics represents a powerful systems biology approach for elucidating metabolic biomarkers of lower gastrointestinal tract (GIT) diseases. Unlike metabolic profiling of fecal water, the profiling of complete fecal material remains under-explored. Here, a gas chromatography/time-of-flight mass spectrometry (GC/TOFMS) method was developed and validated for the global metabonomic profiling of human feces. Fecal and fecal water metabotypes were also profiled and compared. Additionally, the unclear influence of blood in stool on the fecal metabotype was investigated unprecedentedly. Eighty milligram of lyophilized feces was ultrasonicated with 1mL of methanol:water (8:2) for 30min, followed by centrifugation, drying of supernatant, oximation and trimethylsilylation for 45min. Lyophilized feces demonstrated a more comprehensive metabolic coverage than fecal water, based on the number of chromatographic peaks. Principal component analysis ...
Abstract. We present the characterization and application of a new gas chromatography time-of-flight mass spectrometry instrument (GC-TOFMS) for the quantitative analysis of halocarbons in air samples. The setup comprises three fundamental enhancements compared to our earlier work (Hoker et al., 2015): (1) full automation, (2) a mass resolving power R = m/Δm of the TOFMS (Tofwerk AG, Switzerland) increased up to 4000 and (3) a fully accessible data format of the mass spectrometric data. Automation in combination with the accessible data allowed an in-depth characterization of the instrument. Mass accuracy was found to be approximately 5 ppm in mean after automatic recalibration of the mass axis in each measurement. A TOFMS configuration giving R = 3500 was chosen to provide an R-to-sensitivity ratio suitable for our purpose. Calculated detection limits are as low as a few femtograms by means of the accurate mass information. The precision for substance quantification was 0.15 % at the best for ...
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TY - JOUR. T1 - Metabolomics analysis reveals distinct profiles of nonmuscle-invasive and muscle-invasive bladder cancer. AU - Sahu, Divya. AU - Lotan, Yair. AU - Wittmann, Bryan. AU - Neri, Bruce. AU - Hansel, Donna E.. N1 - Funding Information: This work was supported by the Case Western Reserve University/Cleveland Clinic CTSA Grant Number UL1 RR024989 from the National Center for Research Resources (NCRR) and a KL2 career development award (RR024990) to D.E.H., as well as a Prevent Cancer Foundation Fellowship Award to D.S. Publisher Copyright: © 2017 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.. PY - 2017/9. Y1 - 2017/9. N2 - Urothelial carcinoma is the most common form of bladder cancer, but pathway changes that occur with stage-wise progression have not been well defined. We used a metabolomics approach to identify potential metabolic pathways uniquely altered in normal urothelium, nonmuscle-invasive ...
The composition and changes of the fungal population and of the metabolites present in grapes and in ferments of Vitis vinifera L. cv. Corvina, one of the major components of the Amarone musts, were dissected aiming at the identification of constant characteristics possibly influenced by the productive process. The fungal populations and metabolomic profiles were analyzed in three different vintages. 454-pyrosequencing on the ribosomal ITS1 region has been used to identify the fungal population present in Corvina grapes and fresh must. Samples were also subjected to metabolomics analysis measuring both free volatile compounds and glycosylated aroma precursors through an untargeted approach with comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry. Albeit strongly dependent on the climate, both the mycobiota and metabolome of Corvina grapes and fresh musts show some characteristics recursive in different vintages. Such persistent characteristics are likely determined ...
Close The Infona portal uses cookies, i.e. strings of text saved by a browser on the users device. The portal can access those files and use them to remember the users data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser. ...
TY - UNPB. T1 - VOCCluster: Untargeted Metabolomics Feature Clustering Approach for Clinical Breath Gas Chromatography-Mass Spectroscopy Data. AU - Alkhalifah, Yaser. AU - Phillips, Iain. AU - Soltoggio, Andrea. AU - Darnley, Kareen. AU - Nailon, William Henry. AU - McLaren, Duncan. AU - Eddleston, Michael. AU - Thomas, Paul AU - Salman, Dahlia. PY - 2019/2/18. Y1 - 2019/2/18. M3 - Working paper. T3 - ChemRxiv. BT - VOCCluster: Untargeted Metabolomics Feature Clustering Approach for Clinical Breath Gas Chromatography-Mass Spectroscopy Data. ER - ...
Time of flight mass spectrometry identifies the elements of a compound by subjecting a sample of ions to a strong electrical field. Illuminating emerging analytical techniques in high-resolution mass spectrometry, Liquid Chromatography Time-of-Flight Mass Spectrometry shows readers how to analyze unknown and emerging contaminants-such as antibiotics, steroids, analgesics-using advanced mass spectrometry techniques. The text combines theoretical discussion with concrete examples, making it suitable for analytical chemists, environmental chemists, organic chemists, medicinal chemists, university research chemists, and graduate and post-doctorate students.. ...
TY - JOUR. T1 - Plasma Metabolomic Profile of Human Brain-Dead Organ Donors. AU - Dhaygude, K.. AU - Suominen, T.. AU - Krebs, R.. AU - Joo, S.. AU - Rouvinen, E.. AU - Velagapudi, V.. AU - Holmström, E.. AU - Nykänen, A.. AU - Syrjälä, S.. AU - Lemström, K.. PY - 2020/4. Y1 - 2020/4. N2 - PURPOSE: Profound metabolic and molecular changes triggered by solid organ donor brain death may significantly affect posttransplant graft function. However, the effects of brain death on transplanted organs are poorly understood and no clinical biomarker or targeted therapy is available to predict or prevent primary or late graft dysfunction, respectively. This study elaborates the plasma metabolomic profile of human brain-dead organ donors. METHODS: We compared plasma samples from 119 human brain-dead multi-organ donors, taken immediately before organ procurement, to samples from 48 healthy volunteers. We employed targeted ultra-performance liquid chromatography-tandem mass spectrometry to profile over ...
In clinical metabolomics, capillary electrophoresis-mass spectrometry (CE-MS) has become a very useful technique for the analysis of highly polar and charged metabolites in complex biologic samples. A comprehensive overview of recent developments in CE-MS for metabolic profiling studies is presented. This review covers theory, CE separation modes, capillary coatings, and practical aspects of CE-MS coupling. Attention is also given to sample pretreatment and data analysis strategies used for metabolomics. The applicability of CE-MS for clinical metabolomics is illustrated using samples ranging from plasma and urine to cells and tissues. CE-MS application to large-scale and quantitative clinical metabolomics is addressed. Conclusions and perspectives on this unique analytic strategy are presented ...
Qiu YQ,Lu X,Pang T,et al. Study of traditional Chinese medicine volatile oils from different geographical origins by comprehensive two-dimensional gas chromatography - time-of-flight mass spectrometry (GC×GC-TOFMS) in combination with multivariate analysis[J]. Journal of Pharmaceutical and Biomedical Analysis,2007,43:1721-1727 ...
App Note for Enhanced Detection and Separation of Anabolic Steroids for Anti-Doping Control Screening by Comprehensive TwoDimensional Gas Chromatography Time-of-Flight Mass Spectrometry (GCxGC-TOFMS)
Insulin-like growth factor-1 (IGF-1) and growth hormone (GH) levels are the main targets for monitoring acromegaly activity, but they are not in close relationship with the clinical course of the disease and the associated comorbidities. The present study was aimed at identifying metabolites that could be used as biomarkers for a better disease phenotyping. For this purpose, metabolic fingerprint using an untargeted metabolomic approach was examined in serum from 30 patients with acromegaly and 30 age-matched controls. Patients with acromegaly presented fewer branched-chain amino acids (BCAAs) compared to the control group (valine: 4.75 ± 0.87 vs. 5.20 ± 1.06 arbitrary units (AUs), p , 0.05; isoleucine: 2.54 ± 0.41 vs. 2.80 ± 0.51 AUs; p , 0.05). BCAAs were also lower in patients with active disease compared to patients with normal levels of IGF-1 with or without medical treatment. GH, but not IGF-1, serum levels were inversely correlated with both valine and isoleucine. These findings ...
In chromatography-based metabonomic research, retention time (RT) alignment of chromatographic peaks poses a challenge for the accurate profiling of biomarkers. Although a number of RT alignment software has been reported, the performance of these software packages have not been comprehensively evaluated. This study aimed to evaluate the RT alignment accuracy of publicly available and commercial RT alignment software. Two gas chromatography/mass spectrometry (GC/MS) datasets acquired from a mixture of standard metabolites and human bladder cancer urine samples, were used to assess three publicly available software packages, MetAlign, MZmine and TagFinder, and two commercial applications comprising the Calibration feature and Statistical Compare of ChromaTOF software. The overall RT alignment accuracies in aligning standard compounds mixture were 93, 92, 74, 73 and 42% for Calibration feature, MZmine, MetAlign, Statistical Compare and TagFinder, respectively. Additionally, unique trends were ...
OBJECTIVE: In the current study we aimed to identify metabolites associated with age-related macular degeneration (AMD) by performing the largest metabolome association analysis in AMD to date. In addition, we aimed to determine the effect of AMD-associated genetic variants on metabolite levels, and aimed to investigate associations between the identified metabolites and activity of the complement system, one of the main AMD-associated disease pathways. DESIGN: Case-control assocation analysis of metabolomics data. SUBJECTS: 2,267 AMD cases and 4,266 controls from five European cohorts. METHODS: Metabolomics was performed using a high-throughput H-NMR metabolomics platform, which allows the quantification of 146 metabolite measurements and 79 derivative values. Metabolome-AMD associations were studied using univariate logistic regression analyses. The effect of 52 AMD-associated genetic variants on the identified metabolites was investigated using linear regression. In addition, associations between the
Clinically applied as anti-gout drugs, xanthine oxidoreductase (XOR) inhibitors, especially the potent, selective, non-purine-analog XOR inhibitors febuxostat and topiroxostat, exert organ-protective effects. We tested the hypothesis that preservation of tissue concentrations of high-energy phosphates, such as ATP and ADP, contributes to organ-protective effects through CE-TOFMS metabolomics. Rats were subjected to 30 min of renal ischemia-reperfusion (I/R) injury 60 min after oral administration of 10 mg/kg febuxostat, 10 mg/kg topiroxostat, 50 mg/kg allopurinol, or vehicle. In non-purine-analog XOR inhibitor-treated groups, renal concentrations of high-energy phosphates were greater before and after I/R injury, and renal adenine compounds were less depleted by I/R injury than in the vehicle and allopurinol groups. These findings were well in accordance with the proposed hypothesis that the recomposition of high-energy phosphates is promoted by non-purine-analog XOR inhibitors via the salvage pathway
Comprehensive two-dimensional (2D) separations are highly beneficial in the characterization of complex samples. The research presented in this dissertation involves the analysis of the small polar molecules comprising the yeast metabolome using commercially available GCxGC-TOFMS instrumentation. The studies described herein are some of the first on metabolomic data using GCxGC-TOFMS and the analysis required a tremendous amount of procedural and software method development. A proof of principle experiment was performed using fermenting and respiring yeast cells. Initially, principal component analysis (PCA) was performed on three selective mass channels (m/z ) to identify the metabolite locations exhibiting changes between sample types. Twenty-six metabolite peaks were reported. Following proof that the GCxGCTOFMS is applicable to the study of yeast metabolite data, an extensive study was performed to determine the ability of GCxGC-TOFMS to detect metabolites and ultimately be utilized to ...
Article Urine metabolomics of women from small villages exposed to high environmental cadmium levels. This study aimed to identify urine metabolites in women exposed to high cadmium levels. 21 women exposed to environmental Cd and 12 age‐matched cont...
Dear Colleagues, If you are considering using high-throughput sequencing methods in your research, please join us in Charlotte, NC May 16-17 for the the 2013 UNCC Workshop in Next-Generation Sequencing and Metabolomics (WiNGS). WiNGS is a two-day workshop designed to help researchers learn about bioinformatics methods for working with large-scale data sets, especially data from high-throughput sequencing and metabolomics. This two-day workshop begins Thursday, May 16 at 1 pm with six talks describing research questions and results from high-throughput sequencing or metabolomics studies. On Friday, May 17, attendees will get hands-on experience using methods introduced in the Thursday lectures. Computer workstations and example data sets will be provided. For schedule and registration, please see http://cci.uncc.edu/wings. Presenters and topics scheduled thus far include: Joe Kieber (UNC Chapel Hill) Analysis of cytokinin-regulated gene networks Melissa Cline (UC Santa Cruz) Pathway analysis ...
Metabolomics is the global profiling of small metabolites such as amino acids, glycolytic, TCA and pentose cycle metabolites, and in combination with lipidomics (fatty acids, acyl carntines, phospholipids, di- and tri-glycerides) presents a powerful approach to functional biology for biomedical, clinical questions. Fluxomics uses stable isotopes to assess intra- and inter-organ flux. Use of fluxomics combined with metabolomics yields a comprehensive picture of metabolic regulation, and how its is impacted by disease.. The newly established Einstein Stable Isotope & Metabolomics Core (SIMC) uses stable isotope flux and metabolite profiling to help formulate and test hypotheses about the metabolic consequences of various changes in gene expression and protein function, in order to guide further integrative systems biology analyses of the underlying mechanisms in diabetes, insulin resistance, obesity, and diabetic complications. The SIMC Facility is a nonprofit organization established at the ...
Vespertilionid bats (Mammalia: Order Chiroptera) live 3-10 times longer than other mammals of an equivalent body size. At present, nothing is known of how bat fecal metabolic profiles shift with age in any taxa. This study established the feasibility of using a non-invasive, fecal metabolomics approach to examine age-related differences in the fecal metabolome of young and elderly adult big brown bats (Eptesicus fuscus) as an initial investigation into using metabolomics for age determination. Samples were collected from captive, known-aged big brown bats (Eptesicus fuscus) from 1 to over 14 years of age: these two ages represent age groups separated by approximately 75% of the known natural lifespan of this taxon. Results showed 41 metabolites differentiated young (n = 22) and elderly (n = 6) Eptesicus. Significant differences in metabolites between young and elderly bats were associated with tryptophan metabolism and incomplete protein digestion. Results support further exploration of the
The current methodology used in quality control of Ecuadorian beverages such as Pájaro azúl, Puro and Pata de vaca is carried out by using conventional gas chromatography; however, it does not allow the fingerprinting of these Ecuadorian spirit beverages and their possible cases of adulteration. In order to overcome this drawback, comprehensive two-dimensional gas chromatography-mass spectrometry (GC × GC-MS) was combined with multivariate data analysis, revealing that compounds like citronellal, citronellol, geraniol, methyl anthranilate, (−)-trans-α-bergamotene, (−)-cis-α-bergamotene and d-limonene can be considered key elements for pattern recognition of these traditional beverages and product adulteration cases. Thus, the two-dimensional chromatographic fingerprints obtained by GC × GC-MS coupled with chemometric analysis, using Principal Component Analysis and Fisher-ratio can be considered as a potential strategy for adulteration recognition, and it may used as a quality assurance system
TY - JOUR. T1 - Quantitative metabolomic analysis of the human cornea and aqueous humor. AU - Snytnikova, Olga A.. AU - Yanshole, Lyudmila V.. AU - Iskakov, Igor A.. AU - Yanshole, Vadim V.. AU - Chernykh, Valery V.. AU - Stepakov, Denis A.. AU - Novoselov, Vladimir P.. AU - Tsentalovich, Yuri P.. PY - 2017/12/1. Y1 - 2017/12/1. N2 - Introduction: Cornea is the outermost part of the eye supplied mostly by aqueous humor (AH). Therefore, the comparison of the metabolomic compositions of AH and cornea may help to determine which compounds are produced inside the cornea, and which penetrate into cornea from AH for intra-corneal consumption. Keratoconus (KC) is the most common form of the cornea dystrophy, and the analysis of KC corneas can unravel the metabolomic changes occurring in AH and cornea of KC patients. Objectives: The work is aimed at the determination of concentrations of a wide range of metabolites in the human cornea and AH, the comparison of the metabolomic profiles of cornea and AH, ...
EN] Introduction - Plants utilise vaious defence mechanisms against their potential biotic stressing agents such as viroids, viruses, bacteria or fungi and abiotic environmental challenges. Among them metabolic alteration is a common response in both compatible and incompatible plant-pathogen interactions. However, the identification of metabolic changes associated with defence response is not an easy task due to the complexity of the metabolome and the plant response. To address the problem of metabolic complexity, a metabolomics approach was employed in this study. Objective - To identify a wide range of pathogen (citrus exocortis viroid, CEVd, or Pseudomonas syringae pv. tomato)-induced metabolites of tomato using metabolomics. Methodology - Nuclear magnetic resonance (NMR) spectroscopy in combination with multivariate data analysis were performed to analyse the metabolic changes implicated in plant-pathogen interaction. Results - NMR-based metabolomics of crude extracts allowed the ...
Zinc oxide nanoparticles (ZnO NPs), known for their chemical stability and strong adsorption, are used in everyday items such as cosmetics, sunscreens, and prophylactic drugs. However, they have also been found to adversely affect organisms; previously we found that ZnO NPs disrupt pubertal ovarian development, inhibit embryonic development by upsetting -H2AX and NF-B pathways, and even disturb skin stem cells. Non-targeted metabolomic analysis of biological organisms has been suggested as an unbiased tool for the investigation of perturbations in response to nanoparticles and their underlying mechanisms. Although metabolomics has been used in nanotoxicological studies, very few reports have used it to investigate the effects of ZnO NPs exposure. In the current investigation, through a metabolomics-based approach, we discovered that ZnO nanoparticles caused changes in plasma metabolites involved in anti-oxidative mechanisms, energy metabolism, and lipid metabolism in hen livers. These results are
OBJECTIVES: Metabolomics is an emerging science based on diverse high throughput methods that are rapidly evolving to improve metabolic coverage of biological fluids and tissues. Technical progress has led researchers to combine several analytical methods without reporting the impact on metabolic coverage of such a strategy. The objective of our study was to develop and validate several analytical techniques (mass spectrometry coupled to gas or liquid chromatography and nuclear magnetic resonance) for the metabolomic analysis of small muscle samples and evaluate the impact of combining methods for more exhaustive metabolite covering. DESIGN AND METHODS: We evaluated the muscle metabolome from the same pool of mouse muscle samples after 2 metabolite extraction protocols. Four analytical methods were used: targeted flow injection analysis coupled with mass spectrometry (FIA-MS/MS), gas chromatography coupled with mass spectrometry (GC-MS), liquid chromatography coupled with high-resolution mass
Title:Transcriptomic and Metabolomic Profiling of Chicken Adipose Tissue: Dual Purpose Benefit for Human Obesity and Poultry Production. VOLUME: 6 ISSUE: 2. Author(s):Ronique C. Beckford, Eric D. Tague, Shawn R. Campagna and Brynn H. Voy*. Affiliation:Department of Animal Science, University of Tennessee, Knoxville, TN, Department of Chemistry, Biological Small Molecule Mass Spectrometry Core, University of Tennessee, Knoxville, TN, Department of Chemistry, Biological Small Molecule Mass Spectrometry Core, University of Tennessee, Knoxville, TN, Department of Animal Science, University of Tennessee, Knoxville, TN. Keywords:Adipose tissue, microarray, obesity, domestic chickens, transcriptomic, profiling.. Abstract:Background: Domestic chickens are a valuable yet underutilized set of model organisms for studies relevant to human obesity and adipose metabolism. Chickens and humans share similarities in adipose tissue lipid metabolism, and the in ovo development of the chick enables studies of ...
Hydrophilic interaction chromatography (HILIC) interfaced with an Orbitrap Fourier transform mass spectrometer (FT-MS) was used to carry out metabolomic profiling of the classical Drosophila mutation, rosy (ry). This gene encodes a xanthine oxidase/dehydrogenase. In addition to validating the technology by detecting the same changes in xanthine, hypoxanthine, urate and allantoin that have been reported classically, completely unsuspected changes were detected in each of the tryptophan, arginine, pyrimidine and glycerophospholipid metabolism pathways. The rosy mutation thus ramifies far more widely than previously detected. ...
Barth Syndrome is the only known Mendelian disorder of cardiolipin remodeling, with characteristic clinical features of cardiomyopathy, skeletal myopathy, and neutropenia. While the primary biochemical defects of reduced mature cardiolipin and increased monolysocardiolipin are well-described, much of the downstream biochemical dysregulation has not been uncovered, and biomarkers are limited. In order to further expand upon the knowledge of the biochemical abnormalities in Barth Syndrome, we analyzed metabolite profiles in plasma from a cohort of individuals with Barth Syndrome compared to age-matched controls via 1H nuclear magnetic resonance spectroscopy and liquid chromatography-mass spectrometry. A clear distinction between metabolite profiles of individuals with Barth Syndrome and controls was observed, and was defined by an array of metabolite classes including amino acids and lipids. Pathway analysis of these discriminating metabolites revealed involvement of mitochondrial and ...
The Johns Hopkins All Childrens Center for Resources in Integrative Biology (CRIB) & Molecular Determinants Core (MDC) provides a definition for Metabolomics: Metabolomics is the study of an organisms metabolome, which is the collection of metabolites, or small molecules essential for the growth, health, and reproduction of the organism.
It is well established that atherosclerotic cardiovascular disease (ACD) is a leading cause of death in the West. There are several predisposing factors for ACD, which can be divided into two groups: firstly modifiable risk factors, including hypertension, dyslipidaemia, type 2 diabetes mellitus, obesity, smoking and a sedentary lifestyle and secondly the unmodifiable risk factors such as age, gender and heredity. Since single biomarkers are unable to provide sufficient information about the biochemical pathways responsible for the disease, there is a need for a holistic approach technology, e.g. metabolomics, that provide sufficiently detailed information about the metabolic status and assay results will be able to guide food, drug and lifestyle optimisation. Rather than investigating a single pathway, metabolomics deal with the integrated identification of biological and pathological molecular pathways. Mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy are the two most ...
TY - JOUR. T1 - Using NMR metabolomics to investigate tricarboxylic acid cycle-dependent signal transduction in Staphylococcus epidermidis. AU - Sadykov, Marat R.. AU - Zhang, Bo. AU - Halouska, Steven. AU - Nelson, Jennifer L.. AU - Kreimer, Lauren W.. AU - Zhu, Yefei. AU - Powers, Robert. AU - Somerville, Greg A.. PY - 2010/11/19. Y1 - 2010/11/19. N2 - Staphylococcus epidermidis is a skin-resident bacterium and a major cause of biomaterial-associated infections. The transition from residing on the skin to residing on an implanted biomaterial is accompanied by regulatory changes that facilitate bacterial survival in the new environment. These regulatory changes are dependent upon the ability of bacteria to sense environmental changes. In S. epidermidis, disparate environmental signals can affect synthesis of the biofilm matrix polysaccharide intercellular adhesin (PIA). Previously, we demonstrated that PIA biosynthesis is regulated by tricarboxylic acid (TCA) cycle activity. The observations ...
The Yeast Metabolome Database (YMDB, http://www.ymdb.ca) is a richly annotated metabolomic database containing detailed information about the metabolome of Saccharomyces cerevisiae. Modeled closely after the Human Metabolome Database, the YMDB contains |2000 metabolites with links to 995 differ …
CONTEXT: Gestational diabetes is commonly linked to development of type 2 diabetes mellitus (T2DM). There is a need to characterize metabolic changes associated with gestational diabetes in order to find novel biomarkers for T2DM. OBJECTIVE: To find potential pathophysiological mechanisms and markers for progression from gestational diabetes mellitus to T2DM by studying the metabolic transition from pregnancy to postpartum. DESIGN: The metabolic transition profile from pregnancy to postpartum was characterized in 56 women by mass spectrometry-based metabolomics; 11 women had gestational diabetes mellitus, 24 had normal glucose tolerance, and 21 were normoglycaemic but at increased risk for gestational diabetes mellitus ...
This project is supported by the Canadian Institutes of Health Research, Canada Foundation for Innovation, and by The Metabolomics Innovation Centre (TMIC), a nationally-funded research and core facility that supports a wide range of cutting-edge metabolomic studies. TMIC is funded by Genome Canada, Genome Alberta, and Genome British Columbia, a not-for-profit organization that is leading Canadas national genomics strategy with $900 million in funding from the federal government ...
This project is supported by the Canadian Institutes of Health Research, Canada Foundation for Innovation, and by The Metabolomics Innovation Centre (TMIC), a nationally-funded research and core facility that supports a wide range of cutting-edge metabolomic studies. TMIC is funded by Genome Canada, Genome Alberta, and Genome British Columbia, a not-for-profit organization that is leading Canadas national genomics strategy with $900 million in funding from the federal government ...