BATLAS: Deconvoluting Brown Adipose Tissue.
Cell Rep
; 25(3): 784-797.e4, 2018 10 16.
Article
en En
| MEDLINE
| ID: mdl-30332656
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Programas Informáticos
/
Tejido Adiposo Pardo
/
Biomarcadores
/
Biología Computacional
/
Tejido Adiposo Blanco
/
Obesidad
Tipo de estudio:
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Adult
/
Aged
/
Animals
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Cell Rep
Año:
2018
Tipo del documento:
Article
País de afiliación:
Suiza
Pais de publicación:
Estados Unidos