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dc.contributor.authorRoscoe, Benjamin P.
dc.contributor.authorBolon, Daniel N A
dc.date2022-08-11T08:08:56.000
dc.date.accessioned2022-08-23T16:12:31Z
dc.date.available2022-08-23T16:12:31Z
dc.date.issued2014-07-29
dc.date.submitted2015-09-21
dc.identifier.citationJ Mol Biol. 2014 Jul 29;426(15):2854-70. doi: 10.1016/j.jmb.2014.05.019. Epub 2014 May 24. <a href="http://dx.doi.org/10.1016/j.jmb.2014.05.019">Link to article on publisher's site</a>
dc.identifier.issn0022-2836 (Linking)
dc.identifier.doi10.1016/j.jmb.2014.05.019
dc.identifier.pmid24862281
dc.identifier.urihttp://hdl.handle.net/20.500.14038/33413
dc.description.abstractThe complexity of biological interaction networks poses a challenge to understanding the function of individual connections in the overall network. To address this challenge, we developed a high-throughput reverse engineering strategy to analyze how thousands of specific perturbations (encompassing all point mutations in a central gene) impact both a specific edge (interaction to a directly connected node) and an overall network function. We analyzed the effects of ubiquitin mutations on activation by the E1 enzyme and compared these to effects on yeast growth rate. Using this approach, we delineated ubiquitin mutations that selectively impacted the ubiquitin-E1 edge. We find that the elasticity function relating the efficiency of ubiquitin-E1 interaction to growth rate is non-linear and that a greater than 50-fold decrease in E1 activation efficiency is required to reduce growth rate by 2-fold. Despite the robustness of fitness to decreases in E1 activation efficiency, the effects of most ubiquitin mutations on E1 activation paralleled the effects on growth rate. Our observations indicate that most ubiquitin mutations that disrupt E1 activation also disrupt other functions. The structurally characterized ubiquitin-E1 interface encompasses the interfaces of ubiquitin with most other known binding partners, and we propose that this enables E1 in wild-type cells to selectively activate ubiquitin protein molecules capable of binding to other partners from the cytoplasmic pool of ubiquitin protein that will include molecules with chemical damage and/or errors from transcription and translation.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=24862281&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4102620/
dc.subjectBinding Sites; Mutagenesis, Site-Directed; Point Mutation; Protein Conformation; Saccharomyces cerevisiae; Saccharomyces cerevisiae Proteins; Ubiquitin-Activating Enzymes; Ubiquitins
dc.subjectBiochemistry
dc.subjectBiochemistry, Biophysics, and Structural Biology
dc.subjectGenetics and Genomics
dc.subjectMolecular Biology
dc.titleSystematic exploration of ubiquitin sequence, E1 activation efficiency, and experimental fitness in yeast
dc.typeJournal Article
dc.source.journaltitleJournal of molecular biology
dc.source.volume426
dc.source.issue15
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/gsbs_sp/1942
dc.identifier.contextkey7622794
html.description.abstract<p>The complexity of biological interaction networks poses a challenge to understanding the function of individual connections in the overall network. To address this challenge, we developed a high-throughput reverse engineering strategy to analyze how thousands of specific perturbations (encompassing all point mutations in a central gene) impact both a specific edge (interaction to a directly connected node) and an overall network function. We analyzed the effects of ubiquitin mutations on activation by the E1 enzyme and compared these to effects on yeast growth rate. Using this approach, we delineated ubiquitin mutations that selectively impacted the ubiquitin-E1 edge. We find that the elasticity function relating the efficiency of ubiquitin-E1 interaction to growth rate is non-linear and that a greater than 50-fold decrease in E1 activation efficiency is required to reduce growth rate by 2-fold. Despite the robustness of fitness to decreases in E1 activation efficiency, the effects of most ubiquitin mutations on E1 activation paralleled the effects on growth rate. Our observations indicate that most ubiquitin mutations that disrupt E1 activation also disrupt other functions. The structurally characterized ubiquitin-E1 interface encompasses the interfaces of ubiquitin with most other known binding partners, and we propose that this enables E1 in wild-type cells to selectively activate ubiquitin protein molecules capable of binding to other partners from the cytoplasmic pool of ubiquitin protein that will include molecules with chemical damage and/or errors from transcription and translation.</p>
dc.identifier.submissionpathgsbs_sp/1942
dc.contributor.departmentDepartment of Biochemistry and Molecular Pharmacology
dc.source.pages2854-70
dc.contributor.studentBenjamin P. Roscoe


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