Identification of Metabolically Distinct Adipocyte Progenitor Cells in Human Adipose Tissues

A Raajendiran; G Ooi; J Bayliss; PE O'Brien; RB Schittenhelm; AK Clark; RA Taylor; MS Rodeheffer; PR Burton; MJ Watt

Journal article

Identification of Metabolically Distinct Adipocyte Progenitor Cells in Human Adipose Tissues

A Raajendiran, G Ooi, J Bayliss, PE O'Brien, RB Schittenhelm, AK Clark, RA Taylor, MS Rodeheffer, PR Burton, MJ Watt

Cell Reports | CELL PRESS | Published : 2019

DOI: 10.1016/j.celrep.2019.04.010

Abstract

Adipocyte progenitor cells (APCs) provide the reservoir of regenerative cells to produce new adipocytes, although their identity in humans remains elusive. Using FACS analysis, gene expression profiling, and metabolic and proteomic analyses, we identified three APC subtypes in human white adipose tissues. The APC subtypes are molecularly distinct but possess similar proliferative and adipogenic capacities. Adipocytes derived from APCs with high CD34 expression exhibit exceedingly high rates of lipid flux compared with APCs with low or no CD34 expression, while adipocytes produced from CD34 − APCs display beige-like adipocyte properties and a unique endocrine profile. APCs were more abundant ..

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University of Melbourne Researchers

Jacqueline Bayliss Author

Renea Taylor Author

Matt Watt Author

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Grants

Awarded by National Institute of Diabetes and Digestive and Kidney Diseases

Funding Acknowledgements

We thank Jennifer Lo, Natalie Payne, Guizhi Sun, Claude Bernard (Monash University), and Sean McGee (Deakin University) for technical advice and reagents; Roxane Legae and Trevor Wilson (Hudson Institute) and Stuart K. Archer for assistance with the RNA-seq analysis; Kalai Shaw and the surgical and nursing staff at the Alfred Hospital; Andrew Fryga, Michael Reitsma, Adam Dinsdale, and Katherine Flanagan (Monash Flow Core), and Vanta Jameson and Joshua Kie (Melbourne Brain Centre Flow Cytometry Facility) for assistance with flow cytometry; Monash Micro Imaging and the Biological Optical Microscopy Platform (University of Melbourne) for assistance with confocal microscopy; and Graham Hepworth (University of Melbourne) for statistical consultancy. This work was supported by the National Health and Medical Research Council of Australia (NHMRC) (APP1098972) and the Monash Yale Strategic Grant in Metabolism (MDO17P01W). A.R. was supported by a scholarship from the Department of Physiology, Monash University. M.J.W. is supported by a Senior Research Fellowship from the NHMRC (APP1077703). R.A.T. is supported by the Victorian Cancer Agency (MCRF15023).