BATLAS: Deconvoluting Brown Adipose Tissue.
Cell Rep
; 25(3): 784-797.e4, 2018 10 16.
Article
em En
| MEDLINE
| ID: mdl-30332656
ABSTRACT
Recruitment and activation of thermogenic adipocytes have received increasing attention as a strategy to improve systemic metabolic control. The analysis of brown and brite adipocytes is complicated by the complexity of adipose tissue biopsies. Here, we provide an in-depth analysis of pure brown, brite, and white adipocyte transcriptomes. By combining mouse and human transcriptome data, we identify a gene signature that can classify brown and white adipocytes in mice and men. Using a machine-learning-based cell deconvolution approach, we develop an algorithm proficient in calculating the brown adipocyte content in complex human and mouse biopsies. Applying this algorithm, we can show in a human weight loss study that brown adipose tissue (BAT) content is associated with energy expenditure and the propensity to lose weight. This online available tool can be used for in-depth characterization of complex adipose tissue samples and may support the development of therapeutic strategies to increase energy expenditure in humans.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Software
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Tecido Adiposo Marrom
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Biomarcadores
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Biologia Computacional
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Tecido Adiposo Branco
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Obesidade
Tipo de estudo:
Etiology_studies
/
Incidence_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Aged
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Animals
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Cell Rep
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Suíça