Description
Phase-separated condensates are membrane-less intracellular structures comprised of dynamic protein interactions that organize essential biological processes. Understanding the composition and dynamics of these organelles advances our knowledge of cellular behaviors and disease pathologies related to granule dysregulation. In this study, we apply microenvironment mapping (MicroMap) with a novel HaloTag-based platform (HaloMap) to characterize intracellular stress granule dynamics in living cells. After validating the robustness and sensitivity of this approach, we then profile the stress granule proteome throughout the formation and disassembly, and under pharmacological perturbation. These experiments reveal several novel ubiquitin-related modulators, including the HECT-type E3 ligases ITCH and NEDD4L, as well as the ubiquitin receptor TOLLIP, as key mediators of granule disassembly. In addition, we identify an autophagy-related pathway that promotes granule clearance. Collectively, this work establishes a general photoproximity labeling approach for unraveling intracellular protein interactomes and uncovers previously unexplored regulatory mechanisms of stress granule dynamics.
[doi:10.25345/C5707X05X]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Stress granules ; Proximity labeling ; Granule disassembly ; MicroMap
Contact
Principal Investigators:
(in alphabetical order)
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David MacMillan, Princeton, USA
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RoderickPan
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Distinct condition labels are counted across all files submitted in the "Metadata" category
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Originally identified proteins that were automatically
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SwissProt
human reference database.
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Number of distinct protein accessions reported across all analyses (original submission and
reanalyses) associated with this dataset.
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Number of distinct proteins quantified across all analyses (original submission and reanalyses)
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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
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Number of distinct proteins found to be differentially abundant in at least one comparison
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A protein is differentially abundant if its change in abundance across conditions is found
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with statistical tests for differential abundance.
Distinct protein accessions are counted across all files submitted in the "Statistical Analysis
of Quantified Analytes" category having a "Protein" column in this dataset.
"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE.
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