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BATLAS: Deconvoluting Brown Adipose Tissue.

  • Perdikari A Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Leparc GG Target Discovery Research Department, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Germany.
  • Balaz M Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Pires ND Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Lidell ME Department of Medical and Clinical Genetics, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Sun W Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Fernandez-Albert F Target Discovery Research Department, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Germany.
  • Müller S Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Akchiche N Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Dong H Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Balazova L Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Opitz L Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Röder E Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
  • Klein H Target Discovery Research Department, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Germany.
  • Stefanicka P Department of Otorhinolaryngology - Head and Neck Surgery, Faculty of Medicine and University Hospital, Comenius University, Bratislava, Slovakia.
  • Varga L Department of Otorhinolaryngology - Head and Neck Surgery, Faculty of Medicine and University Hospital, Comenius University, Bratislava, Slovakia; Institute of Experimental Endocrinology, Biomedical Research Center at the Slovak Academy of Sciences, Bratislava, Slovakia.
  • Nuutila P Turku PET Centre, University of Turku, Turku, Finland.
  • Virtanen KA Turku PET Centre, University of Turku, Turku, Finland.
  • Niemi T Department of Surgery, Turku University Hospital, Turku, Finland.
  • Taittonen M Department of Anesthesiology, Turku University Hospital, Turku, Finland.
  • Rudofsky G Endocrinology and Metabolic Diseases, Cantonal Hospital Olten, Olten, Switzerland.
  • Ukropec J Institute of Experimental Endocrinology, Biomedical Research Center at the Slovak Academy of Sciences, Bratislava, Slovakia.
  • Enerbäck S Department of Medical and Clinical Genetics, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Stupka E Target Discovery Research Department, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Germany.
  • Neubauer H Cardiometabolic Diseases Research Department, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Germany. Electronic address: heike.neubauer@boehringer-ingelheim.com.
  • Wolfrum C Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland. Electronic address: christian-wolfrum@ethz.ch.
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  • 2018-10-18
Published in:
  • Cell reports. - 2018
BAT content
deconvolution
gene signature
pure adipocyte populations
Adipogenesis
Adipose Tissue, Brown
Adipose Tissue, White
Adult
Aged
Animals
Biomarkers
Cohort Studies
Computational Biology
Energy Metabolism
Female
Gene Expression Profiling
Humans
Male
Mice
Mice, Inbred C57BL
Middle Aged
Obesity
Software
Thermogenesis
Young Adult
English 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.
Language
  • English
Open access status
gold
Identifiers
Persistent URL
https://sonar.ch/global/documents/185185
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