4.8 Article

Snapshot imprinting: rapid identification of cancer cell surface proteins and epitopes using molecularly imprinted polymers

期刊

NANO TODAY
卷 41, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.nantod.2021.101304

关键词

Cancer; Proteomics; Molecularly imprinted polymers; Epitopes; Cells

资金

  1. Engineering and Physical Sciences Research Council (EPSRC, UK) [2133561]
  2. Medical Research Council (MRC, UK) [2136145, MC-A652-5PY80]
  3. Imperial College NIHR Biomedical Research Centre award (UK) [WSCC_P62585]
  4. Experimental Cancer Medicine Centres (UK) [C37/A7283]
  5. Cancer Research UK (CRUK) National Cancer Imaging Accelerator (UK) [C2536/A28680]
  6. Imperial President's PhD Scholarship (UK)
  7. MRC [2136145] Funding Source: UKRI

向作者/读者索取更多资源

Proteomic mapping of cell surfaces is crucial for drug development and clinical diagnostics. The 'snapshot imprinting' method described in this work enables the identification of cell surface markers and epitopes, with potential applications in personalized cancer treatment. The analysis of cancer cell lines and selective targeting of specific epitopes using molecularly imprinted polymer nanoparticles demonstrate the effectiveness of this approach.
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 . (c) 2021 The Authors. Published by Elsevier Ltd. CC_BY_4.0

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