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Molecular Cell
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License: Elsevier Non-Commercial
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Molecular Cell
Article . 2006
License: Elsevier Non-Commercial
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Molecular Cell
Article . 2006 . Peer-reviewed
License: Elsevier Non-Commercial
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Molecular Cell
Article . 2006
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Engineering Controllable Protein Degradation

Authors: Tania A. Baker; Robert T. Sauer; Kathleen E. McGinness;

Engineering Controllable Protein Degradation

Abstract

Complex biological networks are regulated via alterations in protein expression, degradation, and function. Synthetic control of these processes allows dissection of natural systems and the design of new networks. In E. coli, the adaptor SspB tethers ssrA-tagged substrates to the ClpXP protease, causing a modest increase in their rate of degradation. To engineer controlled degradation, we have designed a series of modified ssrA tags that have weakened interactions with ClpXP. When SspB is present, ClpXP degrades purified substrates bearing these engineered peptide tags 100-fold more efficiently. Importantly, substrates bearing these tags are stable in the absence of SspB in vivo but are rapidly degraded upon SspB induction. Our studies supply a conceptual foundation and working components for controllable degradation, improve mechanistic understanding of adaptor-mediated proteolysis, and demonstrate that the relative importance of adaptor proteins in degradation is correlated with the strength of protease-substrate contacts.

Keywords

Models, Genetic, Escherichia coli Proteins, Molecular Sequence Data, Cell Biology, Endopeptidase Clp, Protein Engineering, Models, Biological, Substrate Specificity, Cytosol, Gene Expression Regulation, Escherichia coli, Amino Acid Sequence, Carrier Proteins, Molecular Biology

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    214
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
214
Top 1%
Top 10%
Top 10%
hybrid