PreprintCited by 107Lipid metabolism and biosynthesisProtein Structure and DynamicsLipid Membrane Structure and Behavior

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Seipin forms a flexible cage at lipid droplet formation sites

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Preprint — published as 10.1038/s41594-021-00718-y · Paper page

Abstract

SUMMARY: Lipid droplets (LDs) form in the endoplasmic reticulum by phase separation of neutral lipids. This process is facilitated by the seipin protein complex, which consists of a ring of seipin monomers, with yet unclear function. Here, we report a structure of yeast seipin based on cryo-electron microscopy and structural modeling data. Seipin forms a decameric, cage-like structure with the lumenal domains forming a stable ring at the cage floor and transmembrane segments forming the cage sides and top. The transmembrane segments interact with adjacent monomers in two distinct, alternating conformations. These conformations result from changes in switch regions, located between the lumenal domains and the transmembrane segments, that are required for seipin function. Our data suggest a model for LD formation in which a closed seipin cage enables TG phase separation and subsequently switches to an open conformation to allow LD growth and budding.

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  1. 10.1146/annurev-biochem-061009-102430 · DOI
  2. 10.1038/nrm.2017.76 · DOI · Paper page
  3. 2021, Intracellular lipid droplet accumulation occurs early following viral infection and is required for an efficient interferon response, Nat Commun, 12, 4303, 10.1038/s41467-021-24632-5 · DOI
  4. 10.1128/JVI.00826-08 · DOI
  5. 10.1002/1873-3468.12996 · DOI · Paper page
  6. 10.1371/journal.pone.0012811 · DOI
  7. 10.1016/j.tcb.2020.11.006 · DOI
  8. Choudhary, V. , El Atab, O. , Mizzon, G. , Prinz, W.A. & Schneiter, R. Seipin and Nem1 establish discrete ER subdomains to initiate yeast lipid droplet biogenesis. J Cell Biol 219(2020). · DOI
  9. Rao, M.J. & Goodman, J.M. Seipin: harvesting fat and keeping adipocytes healthy. Trends Cell Biol (2021). · DOI
  10. 10.1038/ng585 · DOI
  11. 10.1091/mbc.E14-08-1303 · DOI
  12. 10.1083/jcb.201502070 · DOI
  13. 10.15252/embj.201695170 · DOI
  14. Wang, H. et al. Seipin is required for converting nascent to mature lipid droplets. Elife 5(2016). · DOI
  15. 10.1083/jcb.201809067 · DOI
  16. 10.1016/j.devcel.2018.09.010 · DOI
  17. 2021, Seipin traps triacylglycerols to facilitate their nanoscale clustering in the endoplasmic reticulum membrane, PLoS Biol, 19, e3000998, 10.1371/journal.pbio.3000998 · DOI
  18. Zoni, V. et al. Seipin accumulates and traps diacylglycerols and triglycerides in its ring-like structure. Proc Natl Acad Sci U S A 118(2021). · DOI
  19. 10.1016/j.devcel.2019.10.006 · DOI
  20. 10.1083/jcb.201704122 · DOI
  21. 10.1083/jcb.201704115 · DOI
  22. 10.1242/jcs.137737 · DOI
  23. 2016, SEIPIN Regulates Lipid Droplet Expansion and Adipocyte Development by Modulating the Activity of Glycerol-3-phosphate Acyltransferase, Cell Rep, 17, 1546, 10.1016/j.celrep.2016.10.037 · DOI
  24. 2020, Oligomers of the lipodystrophy protein seipin may co-ordinate GPAT3 and AGPAT2 enzymes to facilitate adipocyte differentiation, Sci Rep, 10, 3259, 10.1038/s41598-020-59982-5 · DOI
  25. 10.1016/j.cmet.2014.03.028 · DOI
  26. Ding, L. et al. Seipin regulates lipid homeostasis by ensuring calcium-dependent mitochondrial metabolism. Embo j 37(2018). · DOI
  27. 10.1073/pnas.1914677117 · DOI · Paper page
  28. Becuwe, M. et al. FIT2 is an acyl-coenzyme A diphosphatase crucial for endoplasmic reticulum homeostasis. J Cell Biol 219(2020). · DOI
  29. 10.1083/jcb.200711136 · DOI
  30. 2020, Improved protein structure prediction using potentials from deep learning, Nature, 577, 706, 10.1038/s41586-019-1923-7 · DOI · Paper page
  31. 10.1073/pnas.0704154104 · DOI
  32. 10.1038/s41467-019-10835-4 · DOI
  33. 10.1006/jmbi.2000.4042 · DOI
  34. 10.1093/nar/gku316 · DOI · Paper page
  35. 2014, Quantifying the local resolution of cryo-EM density maps, Nat Methods, 11, 63, 10.1038/nmeth.2727 · DOI
  36. 10.1038/nprot.2015.053 · DOI · Paper page
  37. 10.1002/yea.1142 · DOI
  38. Booth, D.S. , Avila-Sakar, A. & Cheng, Y. Visualizing proteins and macromolecular complexes by negative stain EM: from grid preparation to image acquisition. J Vis Exp (2011). · DOI
  39. 10.1038/nmeth.4193 · DOI
  40. 10.1016/j.jsb.2015.08.008 · DOI
  41. 10.1016/j.jsb.2012.09.006 · DOI · Paper page
  42. 10.1016/j.jmb.2011.11.010 · DOI
  43. 10.1016/j.jsb.2013.07.005 · DOI
  44. 10.1107/S0907444902016657 · DOI · Paper page
  45. 10.1107/S0907444910007493 · DOI · Paper page
  46. 10.1016/j.str.2013.08.005 · DOI
  47. 10.1083/jcb.201610013 · DOI
  48. H. Agrawal et al. nocaps: novel object captioning at scale,”. IEEE/CVF International Conference on Computer Vision (ICCV), , 8947–8956.
  49. F. Milletari , N. N. a.S. A. “V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation”. IEEE Xplore, 565–571 (2016). · DOI · Paper page
  50. Ronneberger, O. , Fischer, P. & Brox, T. U-Net: Convolutional Networks for Biomedical Image Segmentation. 234–241 (Springer International Publishing, Cham, 2015). · DOI · Paper page
  51. He, K. , Zhang, X. , Ren, S. & Sun, J. Deep Residual Learning for Image Recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 770–778 (2016). · DOI · Paper page
  52. 2015, Batch normalization: Accelerating deep network training by reducing internal covariate shift, arXiv arXiv preprint
  53. 2014, Adam. A method for stochastic optimization, arXiv preprint
  54. 10.1016/0003-2697(73)90217-0 · DOI
  55. 10.1016/0092-8674(89)90584-9 · DOI

Metadata

Authors
Arlt, H., Sui, X., Folger, B., Adams, C., Chen, X., Remme, R., Hamprecht, F. A., DiMaio, F., Liao, M., Goodman, J. M., Farese, R. V., & Walther, T. C.
Affiliations
  • Howard Hughes Medical Institute (US)
  • Harvard University (US)
  • The University of Texas Southwestern Medical Center (US)
  • University of Washington (US)
  • Heidelberg University (DE)
  • Broad Institute (US)
Corresponding author
  • Goodman, Joel M.
  • Farese, Robert V.
  • Walther, Tobias C.
Venue
Nature Structural & Molecular Biology
Publisher
openRxiv
Published
2021-08-06
Volume
29
Issue
3
Pages
194-202
ISSN
1545-9985 (ISSN-L)
OpenAlex
W4220940324
Cited by
107
References
1
Citations by year
2026: 18 · 2025: 34 · 2024: 26 · 2023: 15 · 2022: 14
FWCI
9.38
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Nature Structural & Molecular Biology (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • Howard Hughes Medical Institute
  • American Heart Association (18POST34030308)
  • Deutsche Forschungsgemeinschaft (AR1164/1-1)
  • Academia Sinica
  • National Institutes of Health
  • National Institute of General Medical Sciences (R01GM124348, R01GM084210, R01GM123089)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Lipid Membrane Structure and Behavior
Keywords
seipin, lipid droplet formation, phase separation, triglycerides, endoplasmic reticulum, switch regions, protein structure
MeSH terms
Endoplasmic Reticulum, Membrane Proteins, Saccharomyces cerevisiae, GTP-Binding Protein gamma Subunits, Lipid Metabolism, Lipid Droplets

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