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Yeast Surface Display

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Cover of 'Yeast Surface Display'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Protein Engineering and Selection Using Yeast Surface Display.
  3. Altmetric Badge
    Chapter 2 Isolation and Validation of Anti-B7-H4 scFvs from an Ovarian Cancer scFv Yeast-Display Library.
  4. Altmetric Badge
    Chapter 3 Combining Phage and Yeast Cell Surface Antibody Display to Identify Novel Cell Type-Selective Internalizing Human Monoclonal Antibodies.
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    Chapter 4 Yeast Display-Based Antibody Affinity Maturation Using Detergent-Solubilized Cell Lysates.
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    Chapter 5 Yeast Endoplasmic Reticulum Sequestration Screening for the Engineering of Proteases from Libraries Expressed in Yeast.
  7. Altmetric Badge
    Chapter 6 T Cell Receptor Engineering and Analysis Using the Yeast Display Platform.
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    Chapter 7 Epitope-Specific Binder Design by Yeast Surface Display.
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    Chapter 8 Applications of Yeast Surface Display for Protein Engineering.
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    Chapter 9 Identification of Novel Protein-Ligand Interactions by Exon Microarray Analysis of Yeast Surface Displayed cDNA Library Selection Outputs.
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    Chapter 10 Identification of Posttranslational Modification-Dependent Protein Interactions Using Yeast Surface Displayed Human Proteome Libraries.
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    Chapter 11 Utilizing Yeast Surface Human Proteome Display Libraries to Identify Small Molecule-Protein Interactions.
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    Chapter 12 Enzyme Evolution by Yeast Cell Surface Engineering.
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    Chapter 13 Electrochemical Glucose Biosensor Based on Glucose Oxidase Displayed on Yeast Surface.
  15. Altmetric Badge
    Chapter 14 Coupling Binding to Catalysis: Using Yeast Cell Surface Display to Select Enzymatic Activities.
  16. Altmetric Badge
    Chapter 15 The Use of Yeast Surface Display in Biofuel Cells.
Attention for Chapter 6: T Cell Receptor Engineering and Analysis Using the Yeast Display Platform.
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Chapter title
T Cell Receptor Engineering and Analysis Using the Yeast Display Platform.
Chapter number 6
Book title
Yeast Surface Display
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2748-7_6
Pubmed ID
Book ISBNs
978-1-4939-2747-0, 978-1-4939-2748-7
Authors

Smith, Sheena N, Harris, Daniel T, Kranz, David M, Sheena N. Smith, Daniel T. Harris, David M. Kranz, Smith, Sheena N., Harris, Daniel T., Kranz, David M.

Abstract

The αβ heterodimeric T cell receptor (TCR) recognizes peptide antigens that are transported to the cell surface as a complex with a protein encoded by the major histocompatibility complex (MHC). T cells thus evolved a strategy to sense these intracellular antigens, and to respond either by eliminating the antigen-presenting cell (e.g., a virus-infected cell) or by secreting factors that recruit the immune system to the site of the antigen. The central role of the TCR in the binding of antigens as peptide-MHC (pepMHC) ligands has now been studied thoroughly. Interestingly, despite their exquisite sensitivity (e.g., T cell activation by as few as 1-3 pepMHC complexes on a single target cell), TCRs are known to have relatively low affinities for pepMHC, with K D values in the micromolar range. There has been interest in engineering the affinity of TCRs in order to use this class of molecules in ways similar to now done with antibodies. By doing so, it would be possible to harness the potential of TCRs as therapeutics against a much wider array of antigens that include essentially all intracellular targets. To engineer TCRs, and to analyze their binding features more rapidly, we have used a yeast display system as a platform. Expression and engineering of a single-chain form of the TCR, analogous to scFv fragments from antibodies, allow the TCR to be affinity matured with a variety of possible pepMHC ligands. In addition, the yeast display platform allows one to rapidly generate TCR variants with diverse binding affinities and to analyze specificity and affinity without the need for purification of soluble forms of the TCRs. The present chapter describes the methods for engineering and analyzing single-chain TCRs using yeast display.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 5 13%
Student > Bachelor 5 13%
Student > Master 5 13%
Professor > Associate Professor 4 10%
Other 7 18%
Unknown 6 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 23%
Agricultural and Biological Sciences 8 21%
Immunology and Microbiology 7 18%
Chemical Engineering 2 5%
Engineering 2 5%
Other 4 10%
Unknown 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 June 2015.
All research outputs
#20,278,422
of 22,811,321 outputs
Outputs from Methods in molecular biology
#9,909
of 13,119 outputs
Outputs of similar age
#295,824
of 353,098 outputs
Outputs of similar age from Methods in molecular biology
#635
of 996 outputs
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