Literature DB >> 35482188

Engineering Proteins by Combining Deep Mutational Scanning and Yeast Display.

Preeti Sharma1,2, Erik Procko1,2, David M Kranz3,4.   

Abstract

Protein engineering using display platforms such as yeast display and phage display has allowed discovery of proteins with therapeutic and industrial applications. Antibodies and T cell receptors developed for therapeutic applications are often engineered by constructing libraries of mutations in loops of five to ten residues called complementarity determining regions that are in proximity to the antigen. In the past decade, deep mutational scanning has become a powerful tool in a protein engineer's toolbox, as it allows one to compare the impact of all 20 amino acids at each position, across the length of the protein. Thus, a single experiment can provide a sequence-activity landscape with information about hotspots or suboptimal binding sites in the original proteins. These residues or regions may be overlooked by engineering methods that are driven solely by structures or directed evolution of error-prone PCR libraries. Here, we describe experimental methods to engineer proteins by combining yeast display and deep mutational scanning mutagenesis, using T cell receptors as an example.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Deep mutational scanning; Enrichment ratio; Heat maps; Protein engineering; Sequence-activity landscape; T cell receptors; Yeast display

Mesh:

Substances:

Year:  2022        PMID: 35482188     DOI: 10.1007/978-1-0716-2285-8_7

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  19 in total

Review 1.  Deep mutational scanning: assessing protein function on a massive scale.

Authors:  Carlos L Araya; Douglas M Fowler
Journal:  Trends Biotechnol       Date:  2011-05-10       Impact factor: 19.536

2.  Deep Mutational Scans as a Guide to Engineering High Affinity T Cell Receptor Interactions with Peptide-bound Major Histocompatibility Complex.

Authors:  Daniel T Harris; Ningyan Wang; Timothy P Riley; Scott D Anderson; Nishant K Singh; Erik Procko; Brian M Baker; David M Kranz
Journal:  J Biol Chem       Date:  2016-09-28       Impact factor: 5.157

3.  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

4.  An Engineered Switch in T Cell Receptor Specificity Leads to an Unusual but Functional Binding Geometry.

Authors:  Daniel T Harris; Nishant K Singh; Qi Cai; Sheena N Smith; Craig Vander Kooi; Erik Procko; David M Kranz; Brian M Baker
Journal:  Structure       Date:  2016-05-26       Impact factor: 5.006

5.  Filamentous fusion phage: novel expression vectors that display cloned antigens on the virion surface.

Authors:  G P Smith
Journal:  Science       Date:  1985-06-14       Impact factor: 47.728

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

Authors:  Douglas M Fowler; Jason J Stephany; Stanley Fields
Journal:  Nat Protoc       Date:  2014-08-28       Impact factor: 13.491

7.  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

8.  Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing.

Authors:  Timothy A Whitehead; Aaron Chevalier; Yifan Song; Cyrille Dreyfus; Sarel J Fleishman; Cecilia De Mattos; Chris A Myers; Hetunandan Kamisetty; Patrick Blair; Ian A Wilson; David Baker
Journal:  Nat Biotechnol       Date:  2012-05-27       Impact factor: 54.908

9.  Computational design of a protein-based enzyme inhibitor.

Authors:  Erik Procko; Rickard Hedman; Keith Hamilton; Jayaraman Seetharaman; Sarel J Fleishman; Min Su; James Aramini; Gregory Kornhaber; John F Hunt; Liang Tong; Gaetano T Montelione; David Baker
Journal:  J Mol Biol       Date:  2013-07-01       Impact factor: 5.469

10.  High-resolution mapping of protein sequence-function relationships.

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

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