Proteases and Cancer Methods and Protocols /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Santamaria, Salvatore (Editor)
Summary:XII, 316 p. 80 illus., 60 illus. in color.
text
Language:English
Published: New York, NY : Springer US : Imprint: Humana, 2024.
Edition:1st ed. 2024.
Series:Methods in Molecular Biology, 2747
Subjects:
Online Access:https://doi.org/10.1007/978-1-0716-3589-6
Format: Electronic Book
Table of Contents:
  • Web-based resources to investigate protease function
  • N-terminomics/TAILS of human cancer biopsies and cancer cell lines
  • A new affinity-based probe to profile MMP active forms
  • N-glycan insertion for probing protein-protein interactions and epitope mapping
  • Expression and purification of recombinant ADAMTS8
  • Expression and purification of active monomeric MMP7
  • Mapping the binding sites of MMPs on type II and III collagens using triple-helical peptide Toolkits
  • Determination of Versikine Levels by Enzyme-Linked Immunosorbent Assay (ELISA)
  • Methods to investigate thrombin cleavage of osteopontin (OPN)
  • Using siRNA silencing to analyze ADAM17 in macrophages
  • Preparation and characterization of collagen-hyaluronic acid (Col-HA) matrices: in vitro mimics of the tumor microenvironment
  • Assessment of Invadopodium Formation and Gelatin Degradation In Vitro
  • Investigation of MT1-MMP activity in cancer cells
  • Gelatinin situ zymography to study gelatinase activity in colon cancer cells treated with platelet microparticles (PMPs)
  • Interrogating the impact of protease activity on tumor progression using 3D spheroid models
  • Analysis of Matrix Metalloproteinase Activity and Inhibition in Cancer Spheroids
  • Intravital microscopy to study the effect of matrix metalloproteinases inhibition on Acute myeloid leukemia cells migration in the bone marrow
  • Fluorescence-based peptidolytic assay for high throughput screening of MMP14 inhibitors
  • Generation of protease inhibitory antibodies by functional in vivo selection
  • Engineering selective TIMPs using a counter-selective screening strategy
  • Engineering new protease inhibitors using α2-macroglobulin
  • Design of bioengineered peptides/proteases as anti-cancer reagents with integrated omics and machine-learning approaches. .