The lysosome is the major catabolic organelle in the cell that has been established as a key metabolic signaling center. Mutations in many lysosomal proteins have catastrophic effects and cause neurodegeneration, cancer, and age-related diseases. The vacuole is the lysosomal analog of Saccharomyces cerevisiae that harbors many evolutionary conserved proteins. Proteins reach vacuoles via the Vps10-dependent endosomal vacuolar protein sorting pathway, via the alkaline phosphatase (ALP or AP-3) pathway, and via the cytosol-to-vacuole transport (CVT) pathway. A systematic understanding of the cargo spectrum of each pathway is completely lacking. Here, we use quantitative proteomics of purified vacuoles to generate the yeast lysosomal biogenesis map. This dataset harbors information on the cargo–receptor relationship of almost all vacuolar proteins. We map binding motifs of Vps10 and the AP-3 complex and identify a novel cargo of the CVT pathway under nutrient-rich conditions. Our data show how organelle purification and quantitative proteomics can uncover fundamental insights into organelle biogenesis.
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4 April 2022
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February 17 2022
A lysosomal biogenesis map reveals the cargo spectrum of yeast vacuolar protein targeting pathways
Sebastian Eising
,
Sebastian Eising
1
Molecular Membrane Biology Group, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
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Bianca Esch
,
Bianca Esch
1
Molecular Membrane Biology Group, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
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Mike Wälte,
Mike Wälte
2
Institute of Cell Dynamics and Imaging, University of Münster, Münster, Germany
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Prado Vargas Duarte,
Prado Vargas Duarte
3
Biochemistry Section, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
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Stefan Walter,
Stefan Walter
4
Center of Cellular Nanoanalytics Osnabrück, Osnabrück University, Osnabrück, Germany
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Christian Ungermann
,
Christian Ungermann
3
Biochemistry Section, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
4
Center of Cellular Nanoanalytics Osnabrück, Osnabrück University, Osnabrück, Germany
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Maria Bohnert
,
Maria Bohnert
2
Institute of Cell Dynamics and Imaging, University of Münster, Münster, Germany
5
Cells in Motion Interfaculty Centre, University of Münster, Münster, Germany
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Florian Fröhlich
1
Molecular Membrane Biology Group, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
3
Biochemistry Section, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
Correspondence to Florian Fröhlich: florian.froehlich@uos.de
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Sebastian Eising
1
Molecular Membrane Biology Group, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
Bianca Esch
1
Molecular Membrane Biology Group, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
Mike Wälte
2
Institute of Cell Dynamics and Imaging, University of Münster, Münster, Germany
Prado Vargas Duarte
3
Biochemistry Section, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
Stefan Walter
4
Center of Cellular Nanoanalytics Osnabrück, Osnabrück University, Osnabrück, Germany
Christian Ungermann
3
Biochemistry Section, Department of Biology/Chemistry, Osnabrück University, Osnabrück, Germany
4
Center of Cellular Nanoanalytics Osnabrück, Osnabrück University, Osnabrück, Germany
Maria Bohnert
2
Institute of Cell Dynamics and Imaging, University of Münster, Münster, Germany
5
Cells in Motion Interfaculty Centre, University of Münster, Münster, Germany
Correspondence to Florian Fröhlich: florian.froehlich@uos.de
Received:
July 26 2021
Revision Received:
December 20 2021
Accepted:
January 18 2022
Online Issn: 1540-8140
Print Issn: 0021-9525
Funding
Funder(s):
University of Münster
Funder(s):
German Research Society (DFG)
- Award Id(s): Project P20,Project P11,NST 190/183-1
© 2022 Eising et al.
2022
This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).
J Cell Biol (2022) 221 (4): e202107148.
Article history
Received:
July 26 2021
Revision Received:
December 20 2021
Accepted:
January 18 2022
Citation
Sebastian Eising, Bianca Esch, Mike Wälte, Prado Vargas Duarte, Stefan Walter, Christian Ungermann, Maria Bohnert, Florian Fröhlich; A lysosomal biogenesis map reveals the cargo spectrum of yeast vacuolar protein targeting pathways. J Cell Biol 4 April 2022; 221 (4): e202107148. doi: https://doi.org/10.1083/jcb.202107148
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