Development and Application of FASA, a Model for Quantifying Fatty Acid Metabolism Using Stable Isotope Labeling.
Cell Rep
; 25(10): 2919-2934.e8, 2018 12 04.
Article
em En
| MEDLINE
| ID: mdl-30517876
ABSTRACT
It is well understood that fatty acids can be synthesized, imported, and modified to meet requisite demands in cells. However, following the movement of fatty acids through the multiplicity of these metabolic steps has remained difficult. To better address this problem, we developed Fatty Acid Source Analysis (FASA), a model that defines the contribution of synthesis, import, and elongation pathways to fatty acid homeostasis in saturated, monounsaturated, and polyunsaturated fatty acid pools. Application of FASA demonstrated that elongation can be a major contributor to cellular fatty acid content and showed that distinct pro-inflammatory stimuli (e.g., Toll-like receptors 2, 3, or 4) specifically reprogram homeostasis of fatty acids by differential utilization of synthetic and elongation pathways in macrophages. In sum, this modeling approach significantly advances our ability to interrogate cellular fatty acid metabolism and provides insight into how cells dynamically reshape their lipidomes in response to metabolic or inflammatory signals.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Ácidos Graxos
/
Marcação por Isótopo
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Modelos Biológicos
Limite:
Animals
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Humans
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Male
Idioma:
En
Revista:
Cell Rep
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Estados Unidos