MODEL1703310000_url.xml
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https://www.omicsdi.org/dataset/biomodels/MODEL1703310000
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资源简介:
Ramirez2017 - Human global metabolism in
brown and white adipocytes
Recon 2.1A, an update to Recon 2.1x, is suitable for
quantitatively-realistic results for flux balance analysis in
human metabolism.
This model is described in the article:
Integrating Extracellular
Flux Measurements and Genome-Scale Modeling Reveals Differences
between Brown and White Adipocytes.
Ramirez AK, Lynes MD, Shamsi F, Xue
R, Tseng YH, Kahn CR, Kasif S, Dreyfuss JM.
Cell Rep 2017 Dec; 21(11):
3040-3048
Abstract:
White adipocytes are specialized for energy storage, whereas
brown adipocytes are specialized for energy expenditure.
Explicating this difference can help identify therapeutic
targets for obesity. A common tool to assess metabolic
differences between such cells is the Seahorse Extracellular
Flux (XF) Analyzer, which measures oxygen consumption and media
acidification in the presence of different substrates and
perturbagens. Here, we integrate the Analyzer's metabolic
profile from human white and brown adipocytes with a
genome-scale metabolic model to predict flux differences across
the metabolic map. Predictions matched experimental data for
the metabolite 4-aminobutyrate, the protein ABAT, and the
fluxes for glucose, glutamine, and palmitate. We also uncovered
a difference in how adipocytes dispose of nitrogenous waste,
with brown adipocytes secreting less ammonia and more urea than
white adipocytes. Thus, the method and software we developed
allow for broader metabolic phenotyping and provide a distinct
approach to uncovering metabolic differences.
This model is hosted on
BioModels Database
and identified by:
MODEL1703310000.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
创建时间:
2017-12-20



