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Journal Article

A proximity labeling strategy provides insights into the composition and dynamics of lipid droplet proteomes.

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Sahl,  S. J.
Department of NanoBiophotonics, MPI for biophysical chemistry, Max Planck Society;

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2522025.pdf
(Publisher version), 7MB

Supplementary Material (public)

2522025_Suppl_1.pdf
(Supplementary material), 58MB

2522025_Suppl_2.xlsx
(Supplementary material), 101KB

2522025_Suppl_3.xlsx
(Supplementary material), 220KB

2522025_Suppl_4.xlsx
(Supplementary material), 32KB

2522025_Suppl_5.xlsx
(Supplementary material), 135KB

2522025_Suppl_6.xlsx
(Supplementary material), 16KB

2522025_Suppl_7.xlsx
(Supplementary material), 43KB

2522025_Suppl_8.xlsx
(Supplementary material), 127KB

2522025_Suppl_9.pdf
(Supplementary material), 65MB

Citation

Bersuker, K., Peterson, C. W. H., To, M., Sahl, S. J., Savikhin, V., Grossman, E. A., et al. (2018). A proximity labeling strategy provides insights into the composition and dynamics of lipid droplet proteomes. Developmental Cell, 44(1), 97-112. doi:10.1016/j.devcel.2017.11.020.


Cite as: https://hdl.handle.net/21.11116/0000-0000-2558-4
Abstract
Lipid droplet (LD) functions are regulated by a complement of integral and peripheral proteins that associate with the bounding LD phospholipid monolayer. Defining the composition of the LD proteome has remained a challenge due to the presence of contaminating proteins in LD-enriched buoyant fractions. To overcome this limitation, we developed a proximity labeling strategy that exploits LD-targeted APEX2 to biotinylate LD proteins in living cells. Application of this approach to two different cell types identified the vast majority of previously validated LD proteins, excluded common contaminating proteins, and revealed new LD proteins. Moreover, quantitative analysis of LD proteome dynamics uncovered a role for endoplasmic reticulum-associated degradation in controlling the composition of the LD proteome. These data provide an important resource for future LD studies and demonstrate the utility of proximity labeling to study the regulation of LD proteomes.