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Metabonomics: a platform for studying drug toxicity and gene function

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TLDR
Metabonomics is a systems approach for studying in vivo metabolic profiles, which promises to provide information on drug toxicity, disease processes and gene function at several stages in the discovery-and-development process.
Abstract
The later that a molecule or molecular class is lost from the drug development pipeline, the higher the financial cost. Minimizing attrition is therefore one of the most important aims of a pharmaceutical discovery programme. Novel technologies that increase the probability of making the right choice early save resources, and promote safety, efficacy and profitability. Metabonomics is a systems approach for studying in vivo metabolic profiles, which promises to provide information on drug toxicity, disease processes and gene function at several stages in the discovery-and-development process.

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Molecular imaging in living subjects: seeing fundamental biological processes in a new light

TL;DR: This article cites 228 articles, 79 of which can be accessed free at: service Email alerting click here top right corner of the article or Receive free email alerts when new articles cite this article sign up in the box at the Collections Topic.
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Second generation biofuels: high-efficiency microalgae for biodiesel production

TL;DR: A review of second generation biodiesel production systems using microalgae can be found in this paper, where the main advantages of second-generation microalgal systems are that they: (1) have a higher photon conversion efficiency (as evidenced by increased biomass yields per hectare): (2) can be harvested batch-wise nearly all-year-round, providing a reliable and continuous supply of oil: (3) can utilize salt and waste water streams, thereby greatly reducing freshwater use: (4) can couple CO2-neutral fuel production with CO2 sequestration: (
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Innovation: Metabolomics: the apogee of the omics trilogy

TL;DR: By performing global metabolite profiling, also known as untargeted metabolomics, new discoveries linking cellular pathways to biological mechanism are being revealed and are shaping the understanding of cell biology, physiology and medicine.
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Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts.

TL;DR: The main NMR spectroscopic applications in modern metabolic research are summarized, and detailed protocols for biofluid and tissue sample collection and preparation are provided, including the extraction of polar and lipophilic metabolites from tissues.
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Exhaled breath condensate: methodological recommendations and unresolved questions

TL;DR: The aim of the American Thoracic Society/European Respiratory Society Task Force on EBC was to identify the important methodological issues surrounding EBC collection and assay, to provide recommendations for the measurements and to highlight areas where further research is required.
References
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Journal ArticleDOI

Multivariate Statistical Methods

TL;DR: In this article, a text designed to make multivariate techniques available to behavioural, social, biological and medical students is presented, which includes an approach to multivariate inference based on the union-intersection and generalized likelihood ratio principles.
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Correlation between Protein and mRNA Abundance in Yeast

TL;DR: The results clearly delineate the technical boundaries of current approaches for quantitative analysis of protein expression and reveal that simple deduction from mRNA transcript analysis is insufficient to predict protein expression levels from quantitative mRNA data.
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'metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological nmr spectroscopic data

TL;DR: Metabonomics: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data by using NMR data from Xenobiotica.
Book

Multivariate Statistical Methods : A Primer

TL;DR: In this article, the problem of displaying many variables in two dimensions is discussed, and the authors propose a method to display and test multivariate data in a multivariate manner using a mixture of multiple regressions.
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A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations

TL;DR: It is demonstrated how the intracellular concentrations of metabolites can reveal phenotypes for proteins active in metabolic regulation, and this approach to functional analysis, using comparative metabolomics, is called FANCY—an abbreviation for functional analysis by co-responses in yeast.
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