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A deep mutational scan of an acidic activation domain

Max V. Staller, Alex S. Holehouse, Devjanee Swain-Lenz, Rahul K. Das, Rohit V. Pappu, Barak A. Cohen
doi: https://doi.org/10.1101/230987
Max V. Staller
1Edison Family Center for Genome Sciences and Systems Biology, Washington University in St. Louis School of Medicine, Saint Louis, MO
2Department of Genetics, Washington University in St. Louis School of Medicine, Saint Louis, MO
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Alex S. Holehouse
3Department of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO
4Center for Biological Systems Engineering, Washington University in St. Louis, Saint Louis, MO
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Devjanee Swain-Lenz
1Edison Family Center for Genome Sciences and Systems Biology, Washington University in St. Louis School of Medicine, Saint Louis, MO
2Department of Genetics, Washington University in St. Louis School of Medicine, Saint Louis, MO
5Present address: Department of Biology, Duke University, Durham, NC
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Rahul K. Das
3Department of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO
4Center for Biological Systems Engineering, Washington University in St. Louis, Saint Louis, MO
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Rohit V. Pappu
3Department of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO
4Center for Biological Systems Engineering, Washington University in St. Louis, Saint Louis, MO
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Barak A. Cohen
1Edison Family Center for Genome Sciences and Systems Biology, Washington University in St. Louis School of Medicine, Saint Louis, MO
2Department of Genetics, Washington University in St. Louis School of Medicine, Saint Louis, MO
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  • For correspondence: cohen@wustl.edu
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Abstract

Transcriptional activation domains are intrinsically disordered peptides with little primary sequence conservation. These properties have made it difficult to identify the sequence features that define activation domains. For example, although acidic activation domains were discovered 30 years ago, we still do not know what role, if any, acidic residues play in these peptides. To address this question we designed a rational mutagenesis scheme to independently test four sequence features theorized to control the strength of activation domains: acidity (negative charge), hydrophobicity, intrinsic disorder, and short linear motifs. To test enough mutants to deconvolve these four features we developed a method to quantify the activities of thousands of activation domain variants in parallel. Our results with Gcn4, a classic acidic activation domain, suggest that acidic residues in particular regions keep two hydrophobic motifs exposed to solvent. We also found that the specific activity of the Gcn4 activation domain increases during amino acid starvation. Our results suggest that Gcn4 may have evolved to have low activity but high inducibility. Our results also demonstrate that high-throughput rational mutation scans will be powerful tools for unraveling the properties that control how intrinsically disordered proteins function.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 08, 2017.
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A deep mutational scan of an acidic activation domain
Max V. Staller, Alex S. Holehouse, Devjanee Swain-Lenz, Rahul K. Das, Rohit V. Pappu, Barak A. Cohen
bioRxiv 230987; doi: https://doi.org/10.1101/230987
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A deep mutational scan of an acidic activation domain
Max V. Staller, Alex S. Holehouse, Devjanee Swain-Lenz, Rahul K. Das, Rohit V. Pappu, Barak A. Cohen
bioRxiv 230987; doi: https://doi.org/10.1101/230987

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