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Proteases and Cancer

Overview of attention for book
Cover of 'Proteases and Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Web-Based Resources to Investigate Protease Function
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    Chapter 2 N-Terminomics/TAILS of Human Tumor Biopsies and Cancer Cell Lines.
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    Chapter 3 A New Affinity-Based Probe to Profile MMP Active Forms
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    Chapter 4 N-Glycan Insertion for Probing Protein–Protein Interactions and Epitope Mapping
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    Chapter 5 Expression and Purification of Recombinant ADAMTS8
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    Chapter 6 Expression and Purification of Active Monomeric MMP7
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    Chapter 7 Mapping the Binding Sites of MMPs on Types II and III Collagens Using Triple-Helical Peptide Toolkits
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    Chapter 8 Determination of Versikine Levels by Enzyme-Linked Immunosorbent Assay (ELISA)
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    Chapter 9 Methods to Investigate Thrombin Cleavage of Osteopontin (OPN)
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    Chapter 10 Using siRNA Silencing to Analyze ADAM17 in Macrophages
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    Chapter 11 Preparation and Characterization of Collagen–Hyaluronic Acid (Col–HA) Matrices: In Vitro Mimics of the Tumor Microenvironment
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    Chapter 12 Assessment of Invadopodium Formation and Gelatin Degradation in Vitro
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    Chapter 13 Investigation of MT1-MMP Activity in Cancer Cells
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    Chapter 14 Gelatin In Situ Zymography to Study Gelatinase Activity in Colon Cancer Cells Treated with Platelet Microparticles (PMPs)
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    Chapter 15 Interrogating the Impact of Protease Activity on Tumor Progression Using 3D Spheroid Models
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    Chapter 16 Analysis of Matrix Metalloproteinase Activity and Inhibition in Cancer Spheroids
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    Chapter 17 Intravital Microscopy to Study the Effect of Matrix Metalloproteinase Inhibition on Acute Myeloid Leukemia Cell Migration in the Bone Marrow
  19. Altmetric Badge
    Chapter 18 Fluorescence-Based Peptidolytic Assay for High-Throughput Screening of MMP14 Inhibitors
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    Chapter 19 Generation of Protease Inhibitory Antibodies by Functional In Vivo Selection
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    Chapter 20 Engineering Selective TIMPs Using a Counter-Selective Screening Strategy.
  22. Altmetric Badge
    Chapter 21 Engineering New Protease Inhibitors Using α 2 -Macroglobulin
  23. Altmetric Badge
    Chapter 22 Design of Bioengineered Peptides/Proteases as Anti-cancer Reagents with Integrated Omics and Machine Learning Approaches.
Attention for Chapter 20: Engineering Selective TIMPs Using a Counter-Selective Screening Strategy.
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Chapter title
Engineering Selective TIMPs Using a Counter-Selective Screening Strategy.
Chapter number 20
Book title
Proteases and Cancer
Published in
Methods in molecular biology, January 2024
DOI 10.1007/978-1-0716-3589-6_20
Pubmed ID
Book ISBNs
978-1-07-163588-9, 978-1-07-163589-6
Authors

Ahmadighadykolaei, Hannaneh, Radisky, Evette S, Raeeszadeh-Sarmazdeh, Maryam, Radisky, Evette S.

Abstract

The yeast surface display platform provides a powerful approach for screening protein diversity libraries to identify binders with an enhanced affinity toward a binding partner. Here, we describe an adaptation of the approach to identify binders with enhanced specificity toward one among multiple closely related binding partners. Specifically, we describe methods for engineering selective matrix metalloproteinase (MMP) inhibitors via yeast surface display of a tissue inhibitor of metalloproteinase (TIMP) diversity library coupled with a counter-selective screening strategy. This protocol may also be employed for developing selective protein binders or inhibitors toward other targets.

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Mendeley readers

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The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
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 01 December 2023.
All research outputs
#16,942,996
of 24,911,633 outputs
Outputs from Methods in molecular biology
#5,832
of 13,990 outputs
Outputs of similar age
#29,654
of 60,502 outputs
Outputs of similar age from Methods in molecular biology
#33
of 117 outputs
Altmetric has tracked 24,911,633 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,990 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 60,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.