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Dynamic subcellular proteomics identifies regulators of adipocyte insulin action

  • Olivia J. Conway
  • , Josie A. Christopher
  • , Lisa M. Breckels
  • , Hanqi Li
  • , Dilip Menon
  • , Meghna Birla
  • , Bethan L. Hawkins
  • , Lu Liang
  • , Satish Patel
  • , Francoise Koumanov
  • , David C. Gershlick
  • , David B. Savage
  • , Michael P. Weekes
  • , Kathryn S. Lilley
  • , Daniel J. Fazakerley
  • University of Cambridge

Research output: Contribution to journalArticlepeer-review

Abstract

Insulin acts on adipocytes to suppress lipolysis and increase glucose uptake to control whole-body glucose and lipid metabolism. Regulation of these processes by insulin signalling depends on changes in protein localisation. However, the extent of insulin-stimulated changes to the adipocyte spatial proteome, and the importance of these in the cellular insulin response, is unknown. Here, we use subcellular proteomics approaches to map acute insulin-stimulated protein relocalisation in adipocytes on a cell-wide scale. These data reveal extensive insulin-regulated protein redistribution, with hundreds of insulin-responsive proteins. These include the uncharacterised protein C3ORF18, which redistributes to the plasma membrane in response to insulin. Studies in C3ORF18-depleted adipocytes suggest this protein is required to maintain adipocyte insulin sensitivity. Overall, our data highlight the scale of protein relocalisation in the adipocyte insulin response, and provide an accessible resource to inform further studies into how changes in protein localisation contribute to cellular insulin responses.

Original languageEnglish
Article number3310
Number of pages17
JournalNature Communications
Volume17
Issue number1
Early online date28 Feb 2026
DOIs
Publication statusPublished - 28 Feb 2026

Data Availability Statement

The proteomics data generated in this study have been deposited in the PRIDE database under the accession code PXD061017 for the LOPIT-DC data and PXD061616 for the plasma membrane proteomics data. Source data are provided with this paper.

Funding

This work was supported by the Cell Imaging Facility at the Institute of Metabolic Science, who were funded by the Medical Research Council [MC_UU_00039]. This work was supported by an MRC Career Development award (MR/S007091/1) and a Project grant (MR/Z504592/1) awarded to D.J.F. O.J.C. was supported by a Wellcome Trust PhD studentship. J.A.C. was supported by a BBSRC iCASE award with AstraZeneca (BB/R505304/1). L.M.B. was supported by the EU Horizon 2020 programme INFRAIA project EPIC-XS (project 823839). D.C.G. was supported by a Biotechnology and Biological Sciences Research Council project grant (BB/W005905/1) and a Wellcome Trust/Royal Society Sir Henry Dale Fellowship (210481). D.B.S. is supported by the Wellcome Trust (WT 219417), the MRC (MR/X00970X/1), and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre and NIHR Rare Disease Translational Research Collaboration. MPW was supported by a Wellcome Trust Discovery Award 309425/Z/ 24/Z and a Medical Research Council Project Grant (MR/X000516/1)

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry,Genetics and Molecular Biology
  • General
  • General Physics and Astronomy

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