Squeezing Flux Out of Fat

Research output: Contribution to journal › Journal article › Research › peer-review

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Squeezing Flux Out of Fat. / Gonzalez-Franquesa, Alba; Patti, Mary-Elizabeth.

In: Trends in Endocrinology and Metabolism, Vol. 29, No. 4, 2018, p. 201-202.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Gonzalez-Franquesa, A & Patti, M-E 2018, 'Squeezing Flux Out of Fat', Trends in Endocrinology and Metabolism, vol. 29, no. 4, pp. 201-202. https://doi.org/10.1016/j.tem.2018.01.005

APA

Gonzalez-Franquesa, A., & Patti, M-E. (2018). Squeezing Flux Out of Fat. Trends in Endocrinology and Metabolism, 29(4), 201-202. https://doi.org/10.1016/j.tem.2018.01.005

Vancouver

Gonzalez-Franquesa A, Patti M-E. Squeezing Flux Out of Fat. Trends in Endocrinology and Metabolism. 2018;29(4):201-202. https://doi.org/10.1016/j.tem.2018.01.005

Author

Gonzalez-Franquesa, Alba ; Patti, Mary-Elizabeth. / Squeezing Flux Out of Fat. In: Trends in Endocrinology and Metabolism. 2018 ; Vol. 29, No. 4. pp. 201-202.

Bibtex

@article{10abffbbfc184e53a9f58add81567dc1,
title = "Squeezing Flux Out of Fat",
abstract = "Merging transcriptomics or metabolomics data remains insufficient for metabolic flux estimation. Ramirez et al. integrate a genome-scale metabolic model with extracellular flux data to predict and validate metabolic differences between white and brown adipose tissue. This method allows both metabolic phenotyping and the identification of potential therapeutic targets for obesity.",
keywords = "Journal Article",
author = "Alba Gonzalez-Franquesa and Mary-Elizabeth Patti",
note = "Copyright {\textcopyright} 2018 Elsevier Ltd. All rights reserved.",
year = "2018",
doi = "10.1016/j.tem.2018.01.005",
language = "English",
volume = "29",
pages = "201--202",
journal = "Trends in Endocrinology and Metabolism",
issn = "1043-2760",
publisher = "Elsevier Ltd. * Trends Journals",
number = "4",

}

RIS

TY - JOUR

T1 - Squeezing Flux Out of Fat

AU - Gonzalez-Franquesa, Alba

AU - Patti, Mary-Elizabeth

N1 - Copyright © 2018 Elsevier Ltd. All rights reserved.

PY - 2018

Y1 - 2018

N2 - Merging transcriptomics or metabolomics data remains insufficient for metabolic flux estimation. Ramirez et al. integrate a genome-scale metabolic model with extracellular flux data to predict and validate metabolic differences between white and brown adipose tissue. This method allows both metabolic phenotyping and the identification of potential therapeutic targets for obesity.

AB - Merging transcriptomics or metabolomics data remains insufficient for metabolic flux estimation. Ramirez et al. integrate a genome-scale metabolic model with extracellular flux data to predict and validate metabolic differences between white and brown adipose tissue. This method allows both metabolic phenotyping and the identification of potential therapeutic targets for obesity.

KW - Journal Article

U2 - 10.1016/j.tem.2018.01.005

DO - 10.1016/j.tem.2018.01.005

M3 - Journal article

C2 - 29409712

VL - 29

SP - 201

EP - 202

JO - Trends in Endocrinology and Metabolism

JF - Trends in Endocrinology and Metabolism

SN - 1043-2760

IS - 4

ER -

ID: 189765233