1-s2.0-S1748013221002292-main.pdf (3.4 MB)
Download file

Snapshot Imprinting: Rapid Identification of Cancer Cell Surface Proteins and Epitopes using Molecularly Imprinted Polymers

Download (3.4 MB)
journal contribution
posted on 12.10.2021, 12:29 by Stanislav S. Piletsky, Elena Piletska, Marta Poblocka, Salvador MacipSalvador Macip, Donald J.L. Jones, Marta Braga, Thong Huy CaoThong Huy Cao, Rajinder Singh, Alan C. Spivey, Eric O. Aboagye, Sergey Piletsky
Proteomic mapping of cell surfaces is an invaluable tool for drug development and clinical diagnostics. This work describes a new ‘snapshot imprinting’ method designed to obtain proteomic maps of cell surfaces, with the aim of identifying cell surface markers and epitopes for diagnostic and therapeutic applications. The analysis of two cancer cell lines, HN5 and MDA-MB-468, is described herein as a proof of concept, along with the selective targeting of three identified epitopes of epidermal growth factor receptor using molecularly imprinted polymer nanoparticles. 438 proteins were identified using this technique, with 283 considered to be transmembrane or extracellular proteins. The major advantage of the molecular imprinting approach developed here is the ability to analyse cell surface proteins without tedious fractionation, affinity separation or labelling. We believe that this system of protein analysis may provide a basic molecular diagnostics toolbox for precise, personalised treatment of cancer and other diseases.

Funding

Engineering and Physical Sciences Research Council (EPSRC, UK) [2133561]

Medical Research Council (MRC, UK) [2136145, MC-A652–5PY80]

Imperial President’s PhD Scholarship (UK)

Imperial College NIHR Biomedical Research Centre award (UK) [WSCC_P62585]

Experimental Cancer Medicine Centres (UK) [C37/A7283]

Cancer Research UK (CRUK) National Cancer Imaging Accelerator (UK) [C2536/A28680]

History

Citation

Nano Today, Volume 41, December 2021, 101304

Author affiliation

School of Chemistry

Published in

Nano Today: an international rapid reviews journal

Volume

41

Issue

101304

Publisher

Elsevier

issn

1748-0132

Copyright date

2021

Available date

12/10/2021

Language

en

Usage metrics

Categories

Licence

Exports