Quantitative proteomics reveal proteins enriched in tubular endoplasmic reticulum of Saccharomyces cerevisiae
Abstract
The tubular network is a critical part of the endoplasmic reticulum (ER). It is shaped by the reticulons and REEPs/Yop1p that generate tubules by inducing high membrane curvature, and the dynamin-like GTPases atlastin and Sey1p/RHD3 that connect tubules via membrane fusion. However, the specific functions of this ER domain are not clear. Here, we isolated tubule-based microsomes from Saccharomyces cerevisiae via classical cell fractionation and detergent-free immunoprecipitation of Flag-tagged Yop1p, which specifically localizes to ER tubules. In quantitative comparisons of tubule-derived and total microsomes, we identified a total of 79 proteins that were enriched in the ER tubules, including known proteins that organize the tubular ER network. Functional categorization of the list of proteins revealed that the tubular ER network may be involved in membrane trafficking, lipid metabolism, organelle contact, and stress sensing. We propose that affinity isolation coupled with quantitative proteomics is a useful tool for investigating ER functions.
Article and author information
Author details
Funding
Howard Hughes Medical Institute (International Early Career Scientist grant)
- Junjie Hu
National Natural Science Foundation of China (31630020)
- Junjie Hu
Ministry of Science and Technology of the People's Republic of China (2016YFA0500201)
- Junjie Hu
National Natural Science Foundation of China (31401150)
- Wenqing Shui
Chinese Academy of Sciences (Bairenjihua Program)
- Wenqing Shui
National Natural Science Foundation of China (3142100024)
- Junjie Hu
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2017, Wang et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 5,899
- views
-
- 1,049
- downloads
-
- 28
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Citations by DOI
-
- 28
- citations for umbrella DOI https://doi.org/10.7554/eLife.23816