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Series GSE118676 Query DataSets for GSE118676
Status Public on Dec 03, 2018
Title Stoichiometric Production of Protein-Complex Components in Eukaryotes Without Widespread Feedback Regulation
Organism Saccharomyces cerevisiae
Experiment type Expression profiling by high throughput sequencing
Other
Summary Constituents of multi-protein complexes are required at well-defined levels relative to each other. However, it remains unknown whether eukaryotic cells typically produce precise amounts of subunits, or instead rely on degradation to mitigate imprecise production. Here we quantified the production rates of multi-protein complexes in single- and multi-cellular eukaryotes using ribosome profiling. By resolving read-mapping ambiguities present in a large fraction of ribosome footprints which often distorts quantitation accuracy in eukaryotes, we found that obligate components of multi-protein complexes are produced in proportion to their stoichiometry, indicating that their abundances are already precisely tuned at the synthesis level. By systematically interrogating the impact of gene dosage variations in budding yeast, we found a general lack of negative feedback regulation protecting the normally precise rates of subunit synthesis. These results reveal a core principle of proteome homeostasis and highlight the evolution towards quantitative control at every stage of the central dogma.
 
Overall design 13 ribosome profiling experiments in Saccharomyces cerevisiae
 
Contributor(s) Taggart JC, Li G
Citation(s) 30553725
Submission date Aug 17, 2018
Last update date Aug 15, 2021
Contact name James Christopher Taggart
E-mail(s) jtaggart@mit.edu
Organization name MIT
Department Biology
Lab Gene-Wei Li
Street address 31 Ames St
City Cambridge
State/province MA
ZIP/Postal code 02139
Country USA
 
Platforms (2)
GPL13821 Illumina HiSeq 2000 (Saccharomyces cerevisiae)
GPL19756 Illumina NextSeq 500 (Saccharomyces cerevisiae)
Samples (13)
GSM3336484 DisomeWT_rep1_RPF
GSM3336485 Disome5_RPF
GSM3336486 DisomeWT_rep2_RPF
Relations
BioProject PRJNA486442
SRA SRP158187

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE118676_RAW.tar 72.9 Mb (http)(custom) TAR (of WIG)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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