Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution

Anne Loft, Margo P. Emont, Ada Weinstock, Adeline Divoux, Adhideb Ghosh, Allon Wagner, Ann V. Hertzel, Babukrishna Maniyadath, Bart Deplancke, Boxiang Liu, Camilla Scheele, Carey Lumeng, Changhai Ding, Chenkai Ma, Christian Wolfrum, Clarissa Strieder-Barboza, Congru Li, Danh D. Truong, David A. Bernlohr, Elisabet Stener-VictorinErin E. Kershaw, Esti Yeger-Lotem, Farnaz Shamsi, Hannah X. Hui, Henrique Camara, Jiawei Zhong, Joanna Kalucka, Joseph A. Ludwig, Julie A. Semon, Jutta Jalkanen, Katie L. Whytock, Kyle D. Dumont, Lauren M. Sparks, Lindsey A. Muir, Lingzhao Fang, Lucas Massier, Luis R. Saraiva, Marc D. Beyer, Marc G. Jeschke, Marcelo A. Mori, Mariana Boroni, Martin J. Walsh, Mary Elizabeth Patti, Matthew D. Lynes, Matthias Blüher, Mikael Rydén, Natnael Hamda, Nicole L. Solimini, Niklas Mejhert, Peng Gao, Rana K. Gupta, Rinki Murphy, Saeed Pirouzpanah, Silvia Corvera, Su'an Tang, Swapan K. Das, Søren F. Schmidt, Tao Zhang, Theodore M. Nelson, Timothy E. O'Sullivan, Vissarion Efthymiou, Wenjing Wang, Yihan Tong, Yu Hua Tseng, Susanne Mandrup, Evan D. Rosen

Research output: Contribution to journalReview articlepeer-review

Abstract

Adipose tissue (AT) is a complex connective tissue with a high relative proportion of adipocytes, which are specialized cells with the ability to store lipids in large droplets. AT is found in multiple discrete depots throughout the body, where it serves as the primary repository for excess calories. In addition, AT has an important role in functions as diverse as insulation, immunity and regulation of metabolic homeostasis. The Human Cell Atlas Adipose Bionetwork was established to support the generation of single-cell atlases of human AT as well as the development of unified approaches and consensus for cell annotation. Here, we provide a first roadmap from this bionetwork, including our suggested cell annotations for humans and mice, with the aim of describing the state of the field and providing guidelines for the production, analysis, interpretation and presentation of AT single-cell data.

Original languageAmerican English
Pages (from-to)875-894
Number of pages20
JournalNature metabolism
Volume7
Issue number5
DOIs
StatePublished - 1 May 2025

All Science Journal Classification (ASJC) codes

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Physiology (medical)
  • Cell Biology

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