@article{8e69c682b70d4b3e88e700efe53401b3,
title = "SERRS multiplexing with multivalent nanostructures for the identification and enumeration of epithelial and mesenchymal cells",
abstract = "Liquid biopsy represents a new frontier of cancer diagnosis and prognosis, which allows the isolation of tumor cells released in the blood stream. The extremely low abundance of these cells needs appropriate methodologies for their identification and enumeration. Herein we present a new protocol based on surface enhanced resonance Raman scattering (SERRS) gold multivalent nanostructures to identify and enumerate tumor cells with epithelial and mesenchimal markers. The validation of the protocol is obtained with spiked samples of peripheral blood mononuclear cells (PBMC). Gold nanostructures are functionalized with SERRS labels and with antibodies to link the tumor cells. Three types of such nanosystems were simultaneously used and the protocol allows obtaining the identification of all individual tumor cells with the help of a Random Forest ensemble learning method.",
author = "Lucio Litti and Andrea Colusso and Marcella Pinto and Erlis Ruli and Alessia Scarsi and Laura Ventura and Giuseppe Toffoli and Marco Colombatti and Giulio Fracasso and Moreno Meneghetti",
note = "Funding Information: {"}Associazione Italiana per la Ricerca sul Cancro{"} (AIRC) [Special Program Molecular Clinical Oncology, 5 × 1000 (No.12214)] is aknowledged for support. M. Colombatti and G. Fracasso gratefully acknowledge Fondazione Cariverona, Verona Nanomedicine Initiative, Fondazione Cariverona/AIRC Progetto Regione Veneto and Italian Minister of Health RF-2010-2305526 for support. Strategic Program of the University of Padova NAMECA and the project P-DiSC #04BIRD2016-UNIPD are acknowledged by M. Meneghetti. E. Ruli and L. Ventura were supported by PRIN 2015 (Grant 2015EASZFS_003). Authors would also thank F. Mancin for DLS and ζ-potential measurements. Publisher Copyright: {\textcopyright} 2020, The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2020",
month = dec,
day = "1",
doi = "10.1038/s41598-020-72911-w",
language = "English",
volume = "10",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",
}