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Yeast Surface Display

Overview of attention for book
Cover of 'Yeast Surface Display'

Table of Contents

  1. Altmetric Badge
    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.
  5. Altmetric Badge
    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.
  9. Altmetric Badge
    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.
  11. Altmetric Badge
    Chapter 10 Identification of Posttranslational Modification-Dependent Protein Interactions Using Yeast Surface Displayed Human Proteome Libraries.
  12. Altmetric Badge
    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 1: Protein Engineering and Selection Using Yeast Surface Display.
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 X user
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1 patent

Citations

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22 Dimensions

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201 Mendeley
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Chapter title
Protein Engineering and Selection Using Yeast Surface Display.
Chapter number 1
Book title
Yeast Surface Display
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2748-7_1
Pubmed ID
26060067
Book ISBNs
978-1-4939-2747-0, 978-1-4939-2748-7
Authors

Angelini, Alessandro, Chen, Tiffany F, de Picciotto, Seymour, Yang, Nicole J, Tzeng, Alice, Santos, Michael S, Van Deventer, James A, Traxlmayr, Michael W, Wittrup, K Dane, Alessandro Angelini, Tiffany F. Chen, Seymour de Picciotto, Nicole J. Yang, Alice Tzeng, Michael S. Santos, James A. Van Deventer, Michael W. Traxlmayr, K. Dane Wittrup, Chen, Tiffany F., Picciotto, Seymour de, Yang, Nicole J., Santos, Michael S., Deventer, James A. Van, Traxlmayr, Michael W., Wittrup, K. Dane

Abstract

Yeast surface display is a powerful technology for engineering a broad range of protein scaffolds. This protocol describes the process for de novo isolation of protein binders from large combinatorial libraries displayed on yeast by using magnetic bead separation followed by flow cytometry-based selection. The biophysical properties of isolated single clones are subsequently characterized, and desired properties are further enhanced through successive rounds of mutagenesis and flow cytometry selections, resulting in protein binders with increased stability, affinity, and specificity for target proteins of interest.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 200 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 28%
Researcher 38 19%
Student > Bachelor 20 10%
Student > Master 19 9%
Student > Postgraduate 11 5%
Other 20 10%
Unknown 36 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 76 38%
Agricultural and Biological Sciences 32 16%
Chemistry 16 8%
Engineering 10 5%
Immunology and Microbiology 7 3%
Other 19 9%
Unknown 41 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 December 2021.
All research outputs
#6,411,532
of 22,780,165 outputs
Outputs from Methods in molecular biology
#1,944
of 13,094 outputs
Outputs of similar age
#87,975
of 352,944 outputs
Outputs of similar age from Methods in molecular biology
#148
of 996 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,094 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,944 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.

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