Literature DB >> 27403811

A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing.

Michael A Stiffler1, Subu K Subramanian2, Victor H Salinas2, Rama Ranganathan3.   

Abstract

Site-directed mutagenesis has long been used as a method to interrogate protein structure, function and evolution. Recent advances in massively-parallel sequencing technology have opened up the possibility of assessing the functional or fitness effects of large numbers of mutations simultaneously. Here, we present a protocol for experimentally determining the effects of all possible single amino acid mutations in a protein of interest utilizing high-throughput sequencing technology, using the 263 amino acid antibiotic resistance enzyme TEM-1 β-lactamase as an example. In this approach, a whole-protein saturation mutagenesis library is constructed by site-directed mutagenic PCR, randomizing each position individually to all possible amino acids. The library is then transformed into bacteria, and selected for the ability to confer resistance to β-lactam antibiotics. The fitness effect of each mutation is then determined by deep sequencing of the library before and after selection. Importantly, this protocol introduces methods which maximize sequencing read depth and permit the simultaneous selection of the entire mutation library, by mixing adjacent positions into groups of length accommodated by high-throughput sequencing read length and utilizing orthogonal primers to barcode each group. Representative results using this protocol are provided by assessing the fitness effects of all single amino acid mutations in TEM-1 at a clinically relevant dosage of ampicillin. The method should be easily extendable to other proteins for which a high-throughput selection assay is in place.

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Year:  2016        PMID: 27403811      PMCID: PMC4993320          DOI: 10.3791/54119

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  23 in total

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Review 3.  Catalytic properties of class A beta-lactamases: efficiency and diversity.

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Journal:  Biochem J       Date:  1998-03-01       Impact factor: 3.857

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Journal:  Nature       Date:  1997-04-10       Impact factor: 49.962

5.  Evolvability as a function of purifying selection in TEM-1 β-lactamase.

Authors:  Michael A Stiffler; Doeke R Hekstra; Rama Ranganathan
Journal:  Cell       Date:  2015-02-26       Impact factor: 41.582

6.  A systematic survey of an intragenic epistatic landscape.

Authors:  Claudia Bank; Ryan T Hietpas; Jeffrey D Jensen; Daniel N A Bolon
Journal:  Mol Biol Evol       Date:  2014-11-03       Impact factor: 16.240

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

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Journal:  J Biol Chem       Date:  1978-09-25       Impact factor: 5.157

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Authors:  Douglas M Fowler; Carlos L Araya; Sarel J Fleishman; Elizabeth H Kellogg; Jason J Stephany; David Baker; Stanley Fields
Journal:  Nat Methods       Date:  2010-08-15       Impact factor: 28.547

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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  2 in total

Review 1.  Functional assays for transcription mechanisms in high-throughput.

Authors:  Chenxi Qiu; Craig D Kaplan
Journal:  Methods       Date:  2019-02-20       Impact factor: 3.608

2.  Co-evolution of interacting proteins through non-contacting and non-specific mutations.

Authors:  David Ding; Anna G Green; Boyuan Wang; Thuy-Lan Vo Lite; Eli N Weinstein; Debora S Marks; Michael T Laub
Journal:  Nat Ecol Evol       Date:  2022-03-31       Impact factor: 19.100

  2 in total

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