Literature DB >> 25967950

A novel method for measuring cellular antibody uptake using imaging flow cytometry reveals distinct uptake rates for two different monoclonal antibodies targeting L1.

John Hazin1, Gerhard Moldenhauer2, Peter Altevogt2, Nathan R Brady3.   

Abstract

Monoclonal antibodies (mAbs) have emerged as a promising tool for cancer therapy. Differing approaches utilize mAbs to either deliver a drug to the tumor cells or to modulate the host's immune system to mediate tumor kill. The rate by which a therapeutic antibody is being internalized by tumor cells is a decisive feature for choosing the appropriate treatment strategy. We herein present a novel method to effectively quantitate antibody uptake of tumor cells by using image-based flow cytometry, which combines image analysis with high throughput of sample numbers and sample size. The use of this method is established by determining uptake rate of an anti-EpCAM antibody (HEA125), from single cell measurements of plasma membrane versus internalized antibody, in conjunction with inhibitors of endocytosis. The method is then applied to two mAbs (L1-9.3, L1-OV52.24) targeting the neural cell adhesion molecule L1 (L1CAM) at two different epitopes. Based on median cell population responses, we find that mAb L1-OV52.24 is rapidly internalized by the ovarian carcinoma cell line SKOV3ip while L1 mAb 9.3 is mainly retained at the cell surface. These findings suggest the L1 mAb OV52.24 as a candidate to be further developed for drug-delivery to cancer cells, while L1-9.3 may be optimized to tag the tumor cells and stimulate immunogenic cancer cell killing. Furthermore, when analyzing cell-to-cell variability, we observed L1 mAb OV52.24 rapidly transition into a subpopulation with high-internalization capacity. In summary, this novel high-content method for measuring antibody internalization rate provides a high level of accuracy and sensitivity for cell population measurements and reveals further biologically relevant information when taking into account cellular heterogeneity.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antibody internalization; Endocytosis; EpCAM; Imaging flow cytometry; L1; L1CAM

Mesh:

Substances:

Year:  2015        PMID: 25967950     DOI: 10.1016/j.jim.2015.04.024

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  6 in total

1.  Antibody-Induced Internalization of the Human Respiratory Syncytial Virus Fusion Protein.

Authors:  A Leemans; M De Schryver; W Van der Gucht; A Heykers; I Pintelon; A L Hotard; M L Moore; J A Melero; J S McLellan; B S Graham; L Broadbent; U F Power; G Caljon; P Cos; L Maes; P Delputte
Journal:  J Virol       Date:  2017-06-26       Impact factor: 5.103

2.  Unravelling Receptor and RGD Motif Dependence of Retargeted Adenoviral Vectors using Advanced Tumor Model Systems.

Authors:  M Chernyavska; M Schmid; P C Freitag; V Palacio-Castañeda; A Piruska; W T S Huck; A Plückthun; W P R Verdurmen
Journal:  Sci Rep       Date:  2019-12-06       Impact factor: 4.379

3.  Practical Guide for Quantification of In Vivo Degradation Rates for Therapeutic Proteins with Single-Cell Resolution Using Fluorescence Ratio Imaging.

Authors:  Ian Nessler; Cornelius Cilliers; Greg M Thurber
Journal:  Pharmaceutics       Date:  2020-02-05       Impact factor: 6.321

4.  A Computational Investigation of In Vivo Cytosolic Protein Delivery for Cancer Therapy.

Authors:  Camilo Torres; Simon Dumas; Valentina Palacio-Castañeda; Stéphanie Descroix; Roland Brock; Wouter P R Verdurmen
Journal:  Pharmaceutics       Date:  2021-04-15       Impact factor: 6.321

5.  A Hybrid In Silico and Tumor-on-a-Chip Approach to Model Targeted Protein Behavior in 3D Microenvironments.

Authors:  Valentina Palacio-Castañeda; Simon Dumas; Philipp Albrecht; Thijmen J Wijgers; Stéphanie Descroix; Wouter P R Verdurmen
Journal:  Cancers (Basel)       Date:  2021-05-18       Impact factor: 6.639

6.  Antibody-PROTAC Conjugates Enable HER2-Dependent Targeted Protein Degradation of BRD4.

Authors:  Marı A Maneiro; Nafsika Forte; Maria M Shchepinova; Cyrille S Kounde; Vijay Chudasama; James Richard Baker; Edward W Tate
Journal:  ACS Chem Biol       Date:  2020-04-30       Impact factor: 5.100

  6 in total

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