Literature DB >> 35057944

Label-free spectroscopic characterization of exosomes reveals cancer cell differentiation.

Sabrina Romanò1, Flavio Di Giacinto2, Aniello Primiano3, Jacopo Gervasoni3, Alberto Mazzini1, Massimiliano Papi1, Andrea Urbani3, Annalucia Serafino4, Marco De Spirito5, Ewa K Krasnowska4, Gabriele Ciasca1.   

Abstract

Exosomes (EXOs) are considered an exceptionally promising source of cancer biomarkers for personalized medicine and liquid biopsy. Despite this potential, the EXOs translation process in diagnostics is still at its birth, and the development of reliable and reproducible methods for their characterization is highly demanded. Fourier Transform Infrared (FTIR) Spectroscopy is perfectly suited for this purpose, as it can provide a label-free biochemical profile of EXOs in terms of lipid, protein, and nucleic acid content. Here we evaluated the applicability of FTIR spectroscopy to the study of cancer-derived EXOs as a function of cell differentiation. For this purpose, we used N-acetyl-l-Cysteine (NAC) to induce a controlled differentiation in human colon carcinoma cells from a proliferative mesenchymal morphology to a less invasive epithelial phenotype, as measured with fluorescence and electron microscopy. EXOs derived from cells with different phenotypes showed significant variation in the relative intensity of the amide I-II and CH-stretching bands in the mid-IR range, indicating the spectroscopic lipid/protein ratio as an effective classification parameter. Additionally, we showed that different cell phenotypes are associated with a shape modification in these spectral bands that can be automatically detected by combining Principal Component Analysis (PCA) with Linear Discriminant Analysis (LDA). On the one hand, our study confirms that an FTIR analysis of EXOs allows scientists to precisely detect modifications occurring at the parental cell level; on the other hand, it unveils a set of effective spectral biomarkers able to monitoring cell changes from a mesenchymal to an epithelial phenotype, a clinically valuable piece of information considering that the epithelial-to-mesenchymal transition is a key step in the metastatic process.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Automatic spectral classification; Cancer cells; Exosomes; Extracellular vesicles; Image analysis; Infrared; Spectroscopy

Mesh:

Year:  2021        PMID: 35057944     DOI: 10.1016/j.aca.2021.339359

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  2 in total

Review 1.  Recent advances in optical label-free characterization of extracellular vesicles.

Authors:  Meruyert Imanbekova; Sorina Suarasan; Yao Lu; Sarah Jurchuk; Sebastian Wachsmann-Hogiu
Journal:  Nanophotonics       Date:  2022-04-13       Impact factor: 7.923

2.  Machine Learning-Assisted FTIR Analysis of Circulating Extracellular Vesicles for Cancer Liquid Biopsy.

Authors:  Riccardo Di Santo; Maria Vaccaro; Sabrina Romanò; Flavio Di Giacinto; Massimiliano Papi; Gian Ludovico Rapaccini; Marco De Spirito; Luca Miele; Umberto Basile; Gabriele Ciasca
Journal:  J Pers Med       Date:  2022-06-10
  2 in total

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