Pair your accounts.

Export articles to Mendeley

Get article recommendations from ACS based on references in your Mendeley library.

Pair your accounts.

Export articles to Mendeley

Get article recommendations from ACS based on references in your Mendeley library.

You’ve supercharged your research process with ACS and Mendeley!

STEP 1:
Click to create an ACS ID

Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

MENDELEY PAIRING EXPIRED
Your Mendeley pairing has expired. Please reconnect
ACS Publications. Most Trusted. Most Cited. Most Read
Rapid, Cost-Effective Peptide/Nucleic Acid-Based Platform for Therapeutic Antibody Monitoring in Clinical Samples
My Activity
    Article

    Rapid, Cost-Effective Peptide/Nucleic Acid-Based Platform for Therapeutic Antibody Monitoring in Clinical Samples
    Click to copy article linkArticle link copied!

    • Marco Mocenigo
      Marco Mocenigo
      Ulisse BioMed Labs, Area Science Park, SS 14, km 163.5, 34149 Trieste, Italy
      Molecular Genetics and Biotechnology PhD Study Programme, University of Nova Gorica, Vipavska 13, 5000 Nova Gorica, Slovenia
    • Alessandro Porchetta
      Alessandro Porchetta
      Department of Chemistry, University of Rome, Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy
    • Marianna Rossetti
      Marianna Rossetti
      Department of Chemistry, University of Rome, Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy
    • Erik Brass
      Erik Brass
      Ulisse BioMed Labs, Area Science Park, SS 14, km 163.5, 34149 Trieste, Italy
      More by Erik Brass
    • Lucia Tonini
      Lucia Tonini
      Ulisse BioMed Labs, Area Science Park, SS 14, km 163.5, 34149 Trieste, Italy
      More by Lucia Tonini
    • Luca Puzzi
      Luca Puzzi
      Ulisse BioMed Labs, Area Science Park, SS 14, km 163.5, 34149 Trieste, Italy
      More by Luca Puzzi
    • Elda Tagliabue
      Elda Tagliabue
      Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
    • Tiziana Triulzi
      Tiziana Triulzi
      Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
    • Bruna Marini
      Bruna Marini
      Ulisse BioMed Labs, Area Science Park, SS 14, km 163.5, 34149 Trieste, Italy
      More by Bruna Marini
    • Francesco Ricci*
      Francesco Ricci
      Department of Chemistry, University of Rome, Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy
      *Email: [email protected]
    • Rudy Ippodrino*
      Rudy Ippodrino
      Ulisse BioMed Labs, Area Science Park, SS 14, km 163.5, 34149 Trieste, Italy
      *Email: [email protected]
    Other Access OptionsSupporting Information (1)

    ACS Sensors

    Cite this: ACS Sens. 2020, 5, 10, 3109–3115
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acssensors.0c01046
    Published September 10, 2020
    Copyright © 2020 American Chemical Society

    Abstract

    Click to copy section linkSection link copied!
    Abstract Image

    We demonstrate here a homogeneous assay, named NanoHybrid, for monoclonal antibody quantification directly in serum samples in a single-step format. NanoHybrid is composed of both synthetic peptide nucleic acids (PNAs) and nucleic acid strands conjugated to recognition elements and optical labels and is designed to allow fast fluorescence quantification of a therapeutic antibody. More specifically, we have characterized our analytical assay for the detection of trastuzumab (Herceptin), a monoclonal antibody (mAb) drug used for breast cancer treatment and for tumors overexpressing the HER2/neu protein. We show here that NanoHybrid is capable of performing fast drug quantification directly in blood serum. The results obtained with a pool of samples from breast cancer patients under trastuzumab treatment are compared with CE-IVD ELISA (enzyme-linked immunosorbent assay) showing a good agreement (Cohen’s K = 0.729). Due to the modular nature of the NanoHybrid platform, this technology can be programmed to potentially detect and quantify any antibody for which a high-affinity recognition element has been characterized. We envision the application of NanoHybrid in a point-of-care (POC) drug monitoring system based on disposable kits for therapeutic drug management.

    Copyright © 2020 American Chemical Society

    Read this article

    To access this article, please review the available access options below.

    Get instant access

    Purchase Access

    Read this article for 48 hours. Check out below using your ACS ID or as a guest.

    Recommended

    Access through Your Institution

    You may have access to this article through your institution.

    Your institution does not have access to this content. Add or change your institution or let them know you’d like them to include access.

    Supporting Information

    Click to copy section linkSection link copied!

    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acssensors.0c01046.

    • Optimization of the PNA–peptide chimera probe (strand #3) and kinetic experiments (PDF)

    Terms & Conditions

    Electronic Supporting Information files are available without a subscription to ACS Web Editions. The American Chemical Society holds a copyright ownership interest in any copyrightable Supporting Information. Files available from the ACS website may be downloaded for personal use only. Users are not otherwise permitted to reproduce, republish, redistribute, or sell any Supporting Information from the ACS website, either in whole or in part, in either machine-readable form or any other form without permission from the American Chemical Society. For permission to reproduce, republish and redistribute this material, requesters must process their own requests via the RightsLink permission system. Information about how to use the RightsLink permission system can be found at http://pubs.acs.org/page/copyright/permissions.html.

    Cited By

    Click to copy section linkSection link copied!

    This article is cited by 12 publications.

    1. Dominic Lauzon, Alexis Vallée-Bélisle. Programing Chemical Communication: Allostery vs Multivalent Mechanism. Journal of the American Chemical Society 2023, 145 (34) , 18846-18854. https://doi.org/10.1021/jacs.3c04045
    2. Simona Ranallo, Sara Bracaglia, Daniela Sorrentino, Francesco Ricci. Synthetic Antigen-Conjugated DNA Systems for Antibody Detection and Characterization. ACS Sensors 2023, 8 (7) , 2415-2426. https://doi.org/10.1021/acssensors.3c00564
    3. Li Wang, Xu Wang, Zhiqiang Chen, Shufeng Liu. Electrochemical DNA Scaffold-Based Sensing Platform for Multiple Modes of Protein Assay and a Keypad Lock System. Analytical Chemistry 2022, 94 (23) , 8317-8326. https://doi.org/10.1021/acs.analchem.2c00800
    4. Sara Bracaglia, Simona Ranallo, Kevin W. Plaxco, Francesco Ricci. Programmable, Multiplexed DNA Circuits Supporting Clinically Relevant, Electrochemical Antibody Detection. ACS Sensors 2021, 6 (6) , 2442-2448. https://doi.org/10.1021/acssensors.1c00790
    5. Yuxin Zhang, Fang Fan, Yifeng Chai, Xiaofei Chen. Biosensing materials for monoclonal antibody detection: An overview. Responsive Materials 2024, 2 (2) https://doi.org/10.1002/rpm.20240006
    6. Emma Campbell, Hope Adamson, Declan Kohl, Christian Tiede, Christoph Wälti, Darren C. Tomlinson, Lars J.C. Jeuken. Enzyme - Switch sensors for therapeutic drug monitoring of immunotherapies. Biosensors and Bioelectronics 2023, 237 , 115488. https://doi.org/10.1016/j.bios.2023.115488
    7. Alejandro Chamorro, Marianna Rossetti, Neda Bagheri, Alessandro Porchetta. Rationally Designed DNA-Based Scaffolds and Switching Probes for Protein Sensing. 2023, 71-106. https://doi.org/10.1007/10_2023_235
    8. Simone Fortunati, Federica Pedrini, Erica Del Grosso, Lorena Baranda Pellejero, Alessandro Bertucci. Design of Specific Nucleic Acid‐Based Biosensors for Protein Binding Activity. Analysis & Sensing 2022, 2 (6) https://doi.org/10.1002/anse.202200037
    9. Marianna Rossetti, Rosa Merlo, Neda Bagheri, Danila Moscone, Anna Valenti, Aakash Saha, Pablo R Arantes, Rudy Ippodrino, Francesco Ricci, Ida Treglia, Elisabetta Delibato, John van der Oost, Giulia Palermo, Giuseppe Perugino, Alessandro Porchetta. Enhancement of CRISPR/Cas12a trans -cleavage activity using hairpin DNA reporters. Nucleic Acids Research 2022, 50 (14) , 8377-8391. https://doi.org/10.1093/nar/gkac578
    10. Riho Shimazu, Kosuke Tomimuro, Yan Ni, Cristina Malegori, Vahid Hamedpour, Yuki Hiruta, Paolo Oliveri, Maarten Merkx, Daniel Citterio. Microfluidic thread-based analytical devices for point-of-care detection of therapeutic antibody in blood. Sensors and Actuators B: Chemical 2022, 352 , 131002. https://doi.org/10.1016/j.snb.2021.131002
    11. Hokyung Kim, Hayeon Choi, Yoonji Heo, Cheoljae Kim, Min Kim, Ki Tae Kim. Biosensors Based on Bivalent and Multivalent Recognition by Nucleic Acid Scaffolds. Applied Sciences 2022, 12 (3) , 1717. https://doi.org/10.3390/app12031717
    12. Yeşeren Saylan, Semra Akgönüllü, Adil Denizli. Nanosensors for medical diagnosis. 2022, 195-213. https://doi.org/10.1016/B978-0-12-823971-1.00016-7

    ACS Sensors

    Cite this: ACS Sens. 2020, 5, 10, 3109–3115
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acssensors.0c01046
    Published September 10, 2020
    Copyright © 2020 American Chemical Society

    Article Views

    1400

    Altmetric

    -

    Citations

    Learn about these metrics

    Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.

    Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.

    The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.