Literature DB >> 25167058

Measuring the activity of protein variants on a large scale using deep mutational scanning.

Douglas M Fowler1, Jason J Stephany1, Stanley Fields2.   

Abstract

Deep mutational scanning marries selection for protein function to high-throughput DNA sequencing in order to quantify the activity of variants of a protein on a massive scale. First, an appropriate selection system for the protein function of interest is identified and validated. Second, a library of variants is created, introduced into the selection system and subjected to selection. Third, library DNA is recovered throughout the selection and deep-sequenced. Finally, a functional score for each variant is calculated on the basis of the change in the frequency of the variant during the selection. This protocol describes the steps that must be carried out to generate a large-scale mutagenesis data set consisting of functional scores for up to hundreds of thousands of variants of a protein of interest. Establishing an assay, generating a library of variants and carrying out a selection and its accompanying sequencing takes on the order of 4-6 weeks; the initial data analysis can be completed in 1 week.

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Year:  2014        PMID: 25167058      PMCID: PMC4412028          DOI: 10.1038/nprot.2014.153

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  39 in total

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2.  High-throughput analysis of in vivo protein stability.

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Journal:  Mol Cell Proteomics       Date:  2013-07-29       Impact factor: 5.911

3.  Robust in vitro affinity maturation strategy based on interface-focused high-throughput mutational scanning.

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4.  A fundamental protein property, thermodynamic stability, revealed solely from large-scale measurements of protein function.

Authors:  Carlos L Araya; Douglas M Fowler; Wentao Chen; Ike Muniez; Jeffery W Kelly; Stanley Fields
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-03       Impact factor: 11.205

5.  Activity-enhancing mutations in an E3 ubiquitin ligase identified by high-throughput mutagenesis.

Authors:  Lea M Starita; Jonathan N Pruneda; Russell S Lo; Douglas M Fowler; Helen J Kim; Joseph B Hiatt; Jay Shendure; Peter S Brzovic; Stanley Fields; Rachel E Klevit
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-18       Impact factor: 11.205

6.  Systematic identification of H274Y compensatory mutations in influenza A virus neuraminidase by high-throughput screening.

Authors:  Nicholas C Wu; Arthur P Young; Sugandha Dandekar; Hemani Wijersuriya; Laith Q Al-Mawsawi; Ting-Ting Wu; Ren Sun
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7.  The spatial architecture of protein function and adaptation.

Authors:  Richard N McLaughlin; Frank J Poelwijk; Arjun Raman; Walraj S Gosal; Rama Ranganathan
Journal:  Nature       Date:  2012-10-07       Impact factor: 49.962

8.  Deep mutational scanning: a new style of protein science.

Authors:  Douglas M Fowler; Stanley Fields
Journal:  Nat Methods       Date:  2014-08       Impact factor: 28.547

9.  PFunkel: efficient, expansive, user-defined mutagenesis.

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Journal:  PLoS One       Date:  2012-12-17       Impact factor: 3.240

10.  Deep mutational scanning of an RRM domain of the Saccharomyces cerevisiae poly(A)-binding protein.

Authors:  Daniel Melamed; David L Young; Caitlin E Gamble; Christina R Miller; Stanley Fields
Journal:  RNA       Date:  2013-09-24       Impact factor: 4.942

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  73 in total

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Review 2.  Biophysical and Mechanistic Models for Disease-Causing Protein Variants.

Authors:  Amelie Stein; Douglas M Fowler; Rasmus Hartmann-Petersen; Kresten Lindorff-Larsen
Journal:  Trends Biochem Sci       Date:  2019-01-31       Impact factor: 13.807

3.  The CDC50A extracellular domain is required for forming a functional complex with and chaperoning phospholipid flippases to the plasma membrane.

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Journal:  J Biol Chem       Date:  2017-12-24       Impact factor: 5.157

4.  In vivo-directed evolution of adeno-associated virus in the primate retina.

Authors:  Leah C Byrne; Timothy P Day; Meike Visel; Jennifer A Strazzeri; Cécile Fortuny; Deniz Dalkara; William H Merigan; David V Schaffer; John G Flannery
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5.  Genetically encoded multimode reporter of adaptor complex 3 traffic in budding yeast.

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6.  Variant Interpretation: Functional Assays to the Rescue.

Authors:  Lea M Starita; Nadav Ahituv; Maitreya J Dunham; Jacob O Kitzman; Frederick P Roth; Georg Seelig; Jay Shendure; Douglas M Fowler
Journal:  Am J Hum Genet       Date:  2017-09-07       Impact factor: 11.025

7.  Subtle changes at the variable domain interface of the T-cell receptor can strongly increase affinity.

Authors:  Preeti Sharma; David M Kranz
Journal:  J Biol Chem       Date:  2017-12-11       Impact factor: 5.157

Review 8.  Deep sequencing methods for protein engineering and design.

Authors:  Emily E Wrenbeck; Matthew S Faber; Timothy A Whitehead
Journal:  Curr Opin Struct Biol       Date:  2016-11-22       Impact factor: 6.809

9.  Modulation of FadR binding capacity for acyl-CoA fatty acids through structure-guided mutagenesis.

Authors:  John-Paul Bacik; Chris M Yeager; Scott N Twary; Ricardo Martí-Arbona
Journal:  Protein J       Date:  2015-10       Impact factor: 2.371

10.  Direct Calculation of Protein Fitness Landscapes through Computational Protein Design.

Authors:  Loretta Au; David F Green
Journal:  Biophys J       Date:  2016-01-05       Impact factor: 4.033

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