Python scripts, source codes for data plots, Key Resource Table, proteomics Dataset S1, and READ.ME proteomics parameter files used in the publication: Temporal control of acute protein aggregate turnover by UBE3C and NRF1-dependent proteasomal pathways
Authors/Creators
- 1. Harvard University T H Chan School of Public Health
Description
This contains the HTML files of python notebook scripts used for analysis in the publication: Temporal control of acute protein aggregate turnover by UBE3C and NRF1-dependent proteasomal pathways. In addition, this contains a READ.ME file containing parameters for proteomic analysis of purified proteasomes from RPN13 mutant cell lines. The .xlsx Dataset S1 spreadsheet is proteamic analysis of purified proteasomes analyzed as described in the associated READ.ME file. agDD_low_vs_high_count.html and NRF1_levels.html are source data for plots associated with Fig 3B,C and Fig. 5D,E, respectively. Finally, the deposit includes a detailed Key Resource Table for all of the reagents and resources used and generated in this study.
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Additional details
Funding
- Aligning Science Across Parkinson's
- Mechanisms Overwhelming Protein and Organelle Quality Control in Parkinson’s Disease 000282