Results 251 to 260 of about 56,044 (294)

Untargeted Metabolomics for Disease-Specific Signatures

2022
Human diseases account for complex traits that usually exhibit markedly diverse clinical manifestations coming from a series of pathogenic processes that shape heterogeneous phenotypes. Considering that correlation does not imply causation as well as population differences and/or inter-individual variability, disease-specific signatures are becoming ...
Chalikiopoulou, Constantina, Gómez-Tamayo, José Carlos, Katsila, Theodora   +2 more
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Untargeted GC-MS Metabolomics

2018
Untargeted metabolomics refers to the high-throughput analysis of the metabolic state of a biological system (e.g., tissue, biological fluid, cell culture) based on the concentration profile of all measurable free low molecular weight metabolites. Gas chromatography-mass spectrometry (GC-MS), being a highly sensitive and high-throughput analytical ...
Matthaios-Emmanouil P, Papadimitropoulos, Catherine G, Vasilopoulou, Christoniki, Maga-Nteve, Maria I, Klapa   +3 more
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Untargeted Metabolomics of Arabidopsis Stomatal Immunity

2020
Although untargeted metabolomic approaches hold great promise for global identification of low molecular weight metabolites in biological samples, deep coverage and confident identification of the metabolites remains challenging due to the great diversity and number of chemical structures, especially in plants. Additionally, there is a need to employ a
Lisa, David, Jianing, Kang, Sixue, Chen
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Separation strategies for untargeted metabolomics

Journal of Separation Science, 2011
AbstractMetabolomics has rapidly become a profiling technique of choice for biomarker elucidation and molecular diagnostics in addition to studies focused on understanding disease pathogenesis. Key to the success of metabolomics in these areas has been the techniques to separate and analyze the chemically diverse group of compounds comprising the ...
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Regularized MANOVA (rMANOVA) in untargeted metabolomics

Analytica Chimica Acta, 2015
Many advanced metabolomics experiments currently lead to data where a large number of response variables were measured while one or several factors were changed. Often the number of response variables vastly exceeds the sample size and well-established techniques such as multivariate analysis of variance (MANOVA) cannot be used to analyze the data ...
Engel, J., Blanchet, L., Bloemen, B., van den Heuvel, L.P.W.J., van den Heuvel, L.P.W.J., Engelke, U.H.F., Wevers, R.A., Wevers, R.A., Buydens, L.M.   +8 more
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Untargeted Metabolomic Profiling of Fungal Species Populations

2022
This chapter describes protocols for the development of consensus chemical phenotypes or "metabolomes" of fungal populations using ultra-high pressure liquid chromatography coupled to high resolution mass spectrometry (UPLC-HRMS). Isolates are cultured using multiple media conditions to elicit the expression of diverse secondary metabolite biosynthetic
Thomas E, Witte, David P, Overy
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Untargeted Metabolomics of Plant Leaf Tissues

2019
Untargeted metabolomics is a useful approach for the simultaneous analysis of a vast array of compounds from a single extract. Metabolomic profiling is the relative multi-parallel quantification of a mixture of low molecular weight compounds, or classes of compounds, and it is most often performed by using ultra performance liquid chromatography (UPLC)
Federica, Gevi, Giuseppina, Fanelli, Lello, Zolla, Sara, Rinalducci   +3 more
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Pathway Analysis for Targeted and Untargeted Metabolomics

2020
Recent advances in analytical techniques, particularly LC-MS, generate increasingly large and complex metabolomics datasets. Pathway analysis tools help place the experimental observations into relevant biological or disease context. This chapter provides an overview of the general concepts and common tools for pathway analysis, including Mummichog for
Alla, Karnovsky, Shuzhao, Li
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Untargeted metabolomics of 3xTg-AD neurotoxic astrocytes

Journal of Proteomics
Alzheimer's disease (AD) is the most common form of dementia, affecting approximately 47 M people worldwide. Histological features and genetic risk factors, among other evidence, supported the amyloid hypothesis of the disease. This neuronocentric paradigm is currently undergoing a shift, considering evidence of the role of other cell types, such as ...
Diego, Carvalho, Pablo, Diaz-Amarilla, Mathew R, Smith, María Daniela, Santi, Marcela, Martinez-Busi, Young-Mi, Go, Dean P, Jones, Pablo, Duarte, Eduardo, Savio, Juan A, Abin-Carriquiry, Florencia, Arredondo   +10 more
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Cluster Analysis of Untargeted Metabolomic Experiments

2018
Untargeted metabolite profiling based upon LC-MS methodology can be used to identify unique metabolic phenotypes associated with stress, disease or environmental exposure of cells using mathematical clustering. Here, we show how unsupervised data analysis is a powerful tool for both quality control and answering simple biological questions.
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